From 773f77ba3aa3b43fc5ead8f78adcbbfc4cea3435 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Lo=C3=AFc=20Le=20Guyader?= <loic.le.guyader@xfel.eu>
Date: Sun, 7 Nov 2021 12:56:34 +0100
Subject: [PATCH] Fix BOZ time delay calculations and plotting

---
 doc/BOZ analysis part II.1 Small data.ipynb |   12 +-
 doc/BOZ analysis part II.2 Binning.ipynb    | 1107 ++++++++++---------
 scripts/boz_parameters_job.sh               |    2 +-
 3 files changed, 567 insertions(+), 554 deletions(-)

diff --git a/doc/BOZ analysis part II.1 Small data.ipynb b/doc/BOZ analysis part II.1 Small data.ipynb
index bf8992a..d0ea8a2 100644
--- a/doc/BOZ analysis part II.1 Small data.ipynb	
+++ b/doc/BOZ analysis part II.1 Small data.ipynb	
@@ -134,7 +134,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 504x194.4 with 6 Axes>"
       ]
@@ -506,7 +506,8 @@
    "source": [
     "#BAM jitter correction\n",
     "bam = r['BAM1932M'] - r['BAM1932M'].mean()\n",
-    "r['delay_ps'] = tb.misc.laser_utils.positionToDelay(r['PP800_DelayLine'], invert=True, origin=4.3) + bam\n",
+    "c_ = 299792458 *1e-9 # speed of light in mm/ps\n",
+    "r['delay_ps'] = 2/c_*r['PP800_DelayLine'] - bam\n",
     "# converting back to mm after BAM correction\n",
     "r['delay_mm'] = r['delay_ps']*0.15"
    ]
@@ -537,6 +538,13 @@
     "print(fname)\n",
     "r.to_netcdf(fname, format='NETCDF4', engine='h5netcdf')"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {
diff --git a/doc/BOZ analysis part II.2 Binning.ipynb b/doc/BOZ analysis part II.2 Binning.ipynb
index f44d35d..19044e5 100644
--- a/doc/BOZ analysis part II.2 Binning.ipynb	
+++ b/doc/BOZ analysis part II.2 Binning.ipynb	
@@ -541,8 +541,8 @@
        "    b9_area            (dim_0, trainId, sa3_pId) float64 1.472e+03 ... 1.472e+03\n",
        "    b9_sat             (trainId, sa3_pId) float64 0.0 0.0 0.0 ... 0.0 0.0 0.0\n",
        "    bunchPatternTable  (trainId, pulse_slot) uint32 2113321 0 2097193 ... 0 0 0\n",
-       "    delay_mm           (trainId, sa3_pId) float64 -3.223 -3.222 ... -3.381\n",
-       "    delay_ps           (trainId, sa3_pId) float64 -21.48 -21.48 ... -22.54\n",
+       "    delay_mm           (trainId, sa3_pId) float64 7.526 7.525 ... 7.694 7.684\n",
+       "    delay_ps           (trainId, sa3_pId) float64 50.17 50.17 ... 51.29 51.23\n",
        "    n                  (trainId, sa3_pId) float64 1.781e+05 ... 2.486e+05\n",
        "    n_area             (dim_0, trainId, sa3_pId) float64 6.314e+03 ... 6.314e+03\n",
        "    n_sat              (trainId, sa3_pId) float64 0.0 0.0 0.0 ... 0.0 0.0 0.0\n",
@@ -555,9 +555,9 @@
        "    sat_sat            (trainId, sa3_pId) float64 0.0 0.0 0.0 ... 0.0 0.0 0.0\n",
        "Attributes:\n",
        "    runFolder:       /gpfs/exfel/exp/SCS/202122/p002937/raw/r0688\n",
-       "    saturation (%):  6.896367959334262</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-ff0e573e-7633-4295-a8cc-00db7a82cc3d' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-ff0e573e-7633-4295-a8cc-00db7a82cc3d' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span>dim_0</span>: 1</li><li><span>pulse_slot</span>: 2700</li><li><span class='xr-has-index'>sa3_pId</span>: 20</li><li><span class='xr-has-index'>trainId</span>: 25880</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-26a30456-311e-43b3-938d-1590bb8d72f7' class='xr-section-summary-in' type='checkbox'  checked><label for='section-26a30456-311e-43b3-938d-1590bb8d72f7' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>sa3_pId</span></div><div class='xr-var-dims'>(sa3_pId)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>602 642 682 722 ... 1282 1322 1362</div><input id='attrs-c2770716-20fc-4f9a-9af8-87da3b86a3d0' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c2770716-20fc-4f9a-9af8-87da3b86a3d0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6cd9d482-688a-4814-86a0-6cfcf98e4a10' class='xr-var-data-in' type='checkbox'><label for='data-6cd9d482-688a-4814-86a0-6cfcf98e4a10' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 602,  642,  682,  722,  762,  802,  842,  882,  922,  962, 1002, 1042,\n",
-       "       1082, 1122, 1162, 1202, 1242, 1282, 1322, 1362])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>trainId</span></div><div class='xr-var-dims'>(trainId)</div><div class='xr-var-dtype'>uint64</div><div class='xr-var-preview xr-preview'>1155313075 ... 1155353394</div><input id='attrs-b5816493-1b4c-40cd-bb59-f16eea2f21d2' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b5816493-1b4c-40cd-bb59-f16eea2f21d2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7778457b-8b28-4366-91d2-4dc7cb2f64cb' class='xr-var-data-in' type='checkbox'><label for='data-7778457b-8b28-4366-91d2-4dc7cb2f64cb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([1155313075, 1155313076, 1155313077, ..., 1155353392, 1155353393,\n",
-       "       1155353394], dtype=uint64)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b6ecf091-366c-4c03-bd23-5ab7e8cb6e0a' class='xr-section-summary-in' type='checkbox'  ><label for='section-b6ecf091-366c-4c03-bd23-5ab7e8cb6e0a' class='xr-section-summary' >Data variables: <span>(78)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>0</span></div><div class='xr-var-dims'>(trainId, sa3_pId)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.897e+05 1.381e+05 ... 4.276e+05</div><input id='attrs-19f8049c-9763-487a-80d3-23ffebc5aedc' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-19f8049c-9763-487a-80d3-23ffebc5aedc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-83a95d42-599d-45e0-9a4f-13f6b027598d' class='xr-var-data-in' type='checkbox'><label for='data-83a95d42-599d-45e0-9a4f-13f6b027598d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[289684.61070776, 138123.90746052, 500445.80732798, ...,\n",
+       "    saturation (%):  6.896367959334262</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-72119ee6-3862-4fa6-b5a8-1ed7fab38c64' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-72119ee6-3862-4fa6-b5a8-1ed7fab38c64' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span>dim_0</span>: 1</li><li><span>pulse_slot</span>: 2700</li><li><span class='xr-has-index'>sa3_pId</span>: 20</li><li><span class='xr-has-index'>trainId</span>: 25880</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-9159382d-33fe-423b-8d69-7a94101fd03f' class='xr-section-summary-in' type='checkbox'  checked><label for='section-9159382d-33fe-423b-8d69-7a94101fd03f' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>sa3_pId</span></div><div class='xr-var-dims'>(sa3_pId)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>602 642 682 722 ... 1282 1322 1362</div><input id='attrs-f0e1d7c0-6cd4-4830-b792-4cda80ad82cb' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f0e1d7c0-6cd4-4830-b792-4cda80ad82cb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d4646c9d-4e34-4bd4-91a4-2dede0d87671' class='xr-var-data-in' type='checkbox'><label for='data-d4646c9d-4e34-4bd4-91a4-2dede0d87671' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 602,  642,  682,  722,  762,  802,  842,  882,  922,  962, 1002, 1042,\n",
+       "       1082, 1122, 1162, 1202, 1242, 1282, 1322, 1362])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>trainId</span></div><div class='xr-var-dims'>(trainId)</div><div class='xr-var-dtype'>uint64</div><div class='xr-var-preview xr-preview'>1155313075 ... 1155353394</div><input id='attrs-76f08119-8c44-412d-a360-d7ba03c50f67' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-76f08119-8c44-412d-a360-d7ba03c50f67' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1f2cb70b-e72e-4a76-a12e-2f40163c7f1a' class='xr-var-data-in' type='checkbox'><label for='data-1f2cb70b-e72e-4a76-a12e-2f40163c7f1a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([1155313075, 1155313076, 1155313077, ..., 1155353392, 1155353393,\n",
+       "       1155353394], dtype=uint64)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e9b7b089-d8cc-4962-aac6-ef6f80e42c4c' class='xr-section-summary-in' type='checkbox'  ><label for='section-e9b7b089-d8cc-4962-aac6-ef6f80e42c4c' class='xr-section-summary' >Data variables: <span>(78)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>0</span></div><div class='xr-var-dims'>(trainId, sa3_pId)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.897e+05 1.381e+05 ... 4.276e+05</div><input id='attrs-887091e7-fc0d-4007-ae70-8c37909a3a59' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-887091e7-fc0d-4007-ae70-8c37909a3a59' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e2e07540-5718-4230-9bd4-8076f5409f4a' class='xr-var-data-in' type='checkbox'><label for='data-e2e07540-5718-4230-9bd4-8076f5409f4a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[289684.61070776, 138123.90746052, 500445.80732798, ...,\n",
        "         42024.53351103, 243802.08759745, 133252.75447385],\n",
        "       [225229.91863144, 200413.79669815, 274292.48395249, ...,\n",
        "        543251.96155992,             nan, 495933.69672994],\n",
@@ -569,7 +569,7 @@
        "       [364515.16956544, 437101.25346862,             nan, ...,\n",
        "        278503.03212807, 439432.7030624 , 499455.66849863],\n",
        "       [372447.23311911, 466099.11828598, 529234.427639  , ...,\n",
-       "        397271.72034371, 102977.29714695, 427573.10743328]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>0X</span></div><div class='xr-var-dims'>(trainId, sa3_pId)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>6.034e+04 2.185e+04 ... 8.999e+04</div><input id='attrs-7d468d3b-205a-4029-b535-0f43838612a8' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7d468d3b-205a-4029-b535-0f43838612a8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-27ced5f1-528f-4239-b366-2332b1234e48' class='xr-var-data-in' type='checkbox'><label for='data-27ced5f1-528f-4239-b366-2332b1234e48' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 60336.79015231,  21846.52432312,  59795.2682802 , ...,\n",
+       "        397271.72034371, 102977.29714695, 427573.10743328]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>0X</span></div><div class='xr-var-dims'>(trainId, sa3_pId)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>6.034e+04 2.185e+04 ... 8.999e+04</div><input id='attrs-2ae6c045-0ca1-4253-846a-9f3eab2706f9' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2ae6c045-0ca1-4253-846a-9f3eab2706f9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-720cab0e-35c0-4a6e-9c02-1ca8d7cd5451' class='xr-var-data-in' type='checkbox'><label for='data-720cab0e-35c0-4a6e-9c02-1ca8d7cd5451' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 60336.79015231,  21846.52432312,  59795.2682802 , ...,\n",
        "          9158.01419508,  39578.45135925,  20696.36743917],\n",
        "       [ 29621.92105239,  33084.37266996,  37073.21908438, ...,\n",
        "         86703.68066557,             nan,  94513.10441038],\n",
@@ -581,31 +581,31 @@
        "       [ 55947.42739576,  97495.16864997,             nan, ...,\n",
        "         56832.89219154, 100070.95264521,  88181.94354303],\n",
        "       [ 92576.18757937,  77191.73590865, 120755.0708841 , ...,\n",
-       "        100943.9776209 ,  21380.92640407,  89992.11663295]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>0X_area</span></div><div class='xr-var-dims'>(dim_0, trainId, sa3_pId)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.132e+03 2.132e+03 ... 2.132e+03</div><input id='attrs-8e60d7ff-0c6e-4fbf-880a-f0366a4709b1' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8e60d7ff-0c6e-4fbf-880a-f0366a4709b1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-044e392f-54e3-4021-b6d2-6fae334ae3f7' class='xr-var-data-in' type='checkbox'><label for='data-044e392f-54e3-4021-b6d2-6fae334ae3f7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[2132., 2132., 2132., ..., 2132., 2132., 2132.],\n",
+       "        100943.9776209 ,  21380.92640407,  89992.11663295]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>0X_area</span></div><div class='xr-var-dims'>(dim_0, trainId, sa3_pId)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.132e+03 2.132e+03 ... 2.132e+03</div><input id='attrs-31d6b06b-789d-4376-b1e8-9db3fb66490f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-31d6b06b-789d-4376-b1e8-9db3fb66490f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-71e43721-68e7-4110-b898-a3ce2ee1da1a' class='xr-var-data-in' type='checkbox'><label for='data-71e43721-68e7-4110-b898-a3ce2ee1da1a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[2132., 2132., 2132., ..., 2132., 2132., 2132.],\n",
        "        [2132., 2132., 2132., ..., 2132.,   nan, 2132.],\n",
        "        [2132., 2132., 2132., ..., 2132., 2132.,   nan],\n",
        "        ...,\n",
        "        [2132., 2132., 2132., ..., 2132., 2132., 2132.],\n",
        "        [2132., 2132.,   nan, ..., 2132., 2132., 2132.],\n",
-       "        [2132., 2132., 2132., ..., 2132., 2132., 2132.]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>0X_sat</span></div><div class='xr-var-dims'>(trainId, sa3_pId)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... nan 0.0 0.0 0.0</div><input id='attrs-a15d829e-40d7-47a6-84fa-ed5acb46d639' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a15d829e-40d7-47a6-84fa-ed5acb46d639' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4308d2da-0d29-4919-9df4-833e7c070e4e' class='xr-var-data-in' type='checkbox'><label for='data-4308d2da-0d29-4919-9df4-833e7c070e4e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "        [2132., 2132., 2132., ..., 2132., 2132., 2132.]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>0X_sat</span></div><div class='xr-var-dims'>(trainId, sa3_pId)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... nan 0.0 0.0 0.0</div><input id='attrs-de95baa0-8e6c-44c0-981e-831bb611b7e3' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-de95baa0-8e6c-44c0-981e-831bb611b7e3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-92ca92bd-e205-44c4-b432-7c1709aef5dd' class='xr-var-data-in' type='checkbox'><label for='data-92ca92bd-e205-44c4-b432-7c1709aef5dd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
        "       [ 0.,  0.,  0., ...,  0., nan,  0.],\n",
        "       [ 0.,  0.,  0., ...,  0.,  0., nan],\n",
        "       ...,\n",
        "       [ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
        "       [ 0.,  0., nan, ...,  0.,  0.,  0.],\n",
-       "       [ 0.,  0.,  0., ...,  0.,  0.,  0.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>0_area</span></div><div class='xr-var-dims'>(dim_0, trainId, sa3_pId)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>6.396e+03 6.396e+03 ... 6.396e+03</div><input id='attrs-4243e380-6db6-4621-9a4e-6b6d87b3fb90' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4243e380-6db6-4621-9a4e-6b6d87b3fb90' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0d5dd9c4-6987-463e-9ee9-655d61480408' class='xr-var-data-in' type='checkbox'><label for='data-0d5dd9c4-6987-463e-9ee9-655d61480408' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[6396., 6396., 6396., ..., 6396., 6396., 6396.],\n",
+       "       [ 0.,  0.,  0., ...,  0.,  0.,  0.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>0_area</span></div><div class='xr-var-dims'>(dim_0, trainId, sa3_pId)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>6.396e+03 6.396e+03 ... 6.396e+03</div><input id='attrs-b9be6bb3-710e-4b97-ad05-1843bd0a7609' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b9be6bb3-710e-4b97-ad05-1843bd0a7609' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e774ed69-d2a7-4057-95ae-8a282b73000e' class='xr-var-data-in' type='checkbox'><label for='data-e774ed69-d2a7-4057-95ae-8a282b73000e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[6396., 6396., 6396., ..., 6396., 6396., 6396.],\n",
        "        [6396., 6396., 6396., ..., 6396.,   nan, 6396.],\n",
        "        [6396., 6396., 6396., ..., 6396., 6396.,   nan],\n",
        "        ...,\n",
        "        [6396., 6396., 6396., ..., 6396., 6396., 6396.],\n",
        "        [6396., 6396.,   nan, ..., 6396., 6396., 6396.],\n",
-       "        [6396., 6396., 6396., ..., 6396., 6396., 6396.]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>0_sat</span></div><div class='xr-var-dims'>(trainId, sa3_pId)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... nan 0.0 0.0 0.0</div><input id='attrs-b8250e0e-5665-45a7-a409-9bf2808b3995' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b8250e0e-5665-45a7-a409-9bf2808b3995' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-29ffb87f-a78a-4b7f-bae4-b30ee360de59' class='xr-var-data-in' type='checkbox'><label for='data-29ffb87f-a78a-4b7f-bae4-b30ee360de59' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "        [6396., 6396., 6396., ..., 6396., 6396., 6396.]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>0_sat</span></div><div class='xr-var-dims'>(trainId, sa3_pId)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... nan 0.0 0.0 0.0</div><input id='attrs-e66457f4-b78e-4f99-8937-0f17c096bb0f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e66457f4-b78e-4f99-8937-0f17c096bb0f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d963190b-37c0-4301-a5c7-1f6a32c951b7' class='xr-var-data-in' type='checkbox'><label for='data-d963190b-37c0-4301-a5c7-1f6a32c951b7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
        "       [ 0.,  0.,  0., ...,  0., nan,  0.],\n",
        "       [ 0.,  0.,  0., ...,  0.,  0., nan],\n",
        "       ...,\n",
        "       [ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
        "       [ 0.,  0., nan, ...,  0.,  0.,  0.],\n",
-       "       [ 0.,  0.,  0., ...,  0.,  0.,  0.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>10X1</span></div><div class='xr-var-dims'>(trainId, sa3_pId)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>7.858e+04 4.476e+04 ... 1.114e+05</div><input id='attrs-4a71b7e4-ba12-4d19-acf8-559645aa282e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4a71b7e4-ba12-4d19-acf8-559645aa282e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2d16a6b0-6529-4880-a768-d33e37264851' class='xr-var-data-in' type='checkbox'><label for='data-2d16a6b0-6529-4880-a768-d33e37264851' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 78582.57467466,  44763.66983513, 187045.71726957, ...,\n",
+       "       [ 0.,  0.,  0., ...,  0.,  0.,  0.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>10X1</span></div><div class='xr-var-dims'>(trainId, sa3_pId)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>7.858e+04 4.476e+04 ... 1.114e+05</div><input id='attrs-cef8cea0-c33a-4c68-8bd4-5041f148cce0' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-cef8cea0-c33a-4c68-8bd4-5041f148cce0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a429a2b5-32b2-4d22-9a60-a8d2c0d6efa6' class='xr-var-data-in' type='checkbox'><label for='data-a429a2b5-32b2-4d22-9a60-a8d2c0d6efa6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 78582.57467466,  44763.66983513, 187045.71726957, ...,\n",
        "         10784.21728723,  73261.64649624,  41103.80228002],\n",
        "       [ 76709.47702286,  66614.20786027,  90065.12539969, ...,\n",
        "        168068.33971727,             nan, 135708.22797242],\n",
@@ -617,19 +617,19 @@
        "       [121745.46820473, 113937.02962522,             nan, ...,\n",
        "         74347.10757524, 110022.76241348, 144983.20331155],\n",
        "       [ 85830.84885822, 148998.51691015, 134672.283611  , ...,\n",
-       "         89252.69721167,  26221.24689187, 111435.16270673]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>10X1_area</span></div><div class='xr-var-dims'>(dim_0, trainId, sa3_pId)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.599e+03 1.599e+03 ... 1.599e+03</div><input id='attrs-6cf1dd26-cfc9-4aa9-a210-70aedf848beb' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6cf1dd26-cfc9-4aa9-a210-70aedf848beb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a4521eee-52f8-433b-a986-49e493ee4117' class='xr-var-data-in' type='checkbox'><label for='data-a4521eee-52f8-433b-a986-49e493ee4117' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[1599., 1599., 1599., ..., 1599., 1599., 1599.],\n",
+       "         89252.69721167,  26221.24689187, 111435.16270673]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>10X1_area</span></div><div class='xr-var-dims'>(dim_0, trainId, sa3_pId)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.599e+03 1.599e+03 ... 1.599e+03</div><input id='attrs-63b5758a-9cd0-4200-adec-9f4dc4870da3' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-63b5758a-9cd0-4200-adec-9f4dc4870da3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-95044bfe-6c3a-440e-8dc0-e86b2cf69035' class='xr-var-data-in' type='checkbox'><label for='data-95044bfe-6c3a-440e-8dc0-e86b2cf69035' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[1599., 1599., 1599., ..., 1599., 1599., 1599.],\n",
        "        [1599., 1599., 1599., ..., 1599.,   nan, 1599.],\n",
        "        [1599., 1599., 1599., ..., 1599., 1599.,   nan],\n",
        "        ...,\n",
        "        [1599., 1599., 1599., ..., 1599., 1599., 1599.],\n",
        "        [1599., 1599.,   nan, ..., 1599., 1599., 1599.],\n",
-       "        [1599., 1599., 1599., ..., 1599., 1599., 1599.]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>10X1_sat</span></div><div class='xr-var-dims'>(trainId, sa3_pId)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... nan 0.0 0.0 0.0</div><input id='attrs-fde5ee00-0f5a-4394-89bc-43bc5018a956' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-fde5ee00-0f5a-4394-89bc-43bc5018a956' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c538f055-3b6d-4dd0-8459-86b6b54b7c0d' class='xr-var-data-in' type='checkbox'><label for='data-c538f055-3b6d-4dd0-8459-86b6b54b7c0d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "        [1599., 1599., 1599., ..., 1599., 1599., 1599.]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>10X1_sat</span></div><div class='xr-var-dims'>(trainId, sa3_pId)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... nan 0.0 0.0 0.0</div><input id='attrs-2e68c8c2-f44d-4ae5-b2c8-4e855ccc7659' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2e68c8c2-f44d-4ae5-b2c8-4e855ccc7659' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3550dbd1-7024-407f-aa07-c4396e3c2dcf' class='xr-var-data-in' type='checkbox'><label for='data-3550dbd1-7024-407f-aa07-c4396e3c2dcf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
        "       [ 0.,  0.,  0., ...,  0., nan,  0.],\n",
        "       [ 0.,  0.,  0., ...,  0.,  0., nan],\n",
        "       ...,\n",
        "       [ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
        "       [ 0.,  0., nan, ...,  0.,  0.,  0.],\n",
-       "       [ 0.,  0.,  0., ...,  0.,  0.,  0.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>10X2</span></div><div class='xr-var-dims'>(trainId, sa3_pId)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.433e+04 1.036e+04 ... 3.969e+04</div><input id='attrs-c4160a25-ffbb-4844-9113-6b00f273bb8e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c4160a25-ffbb-4844-9113-6b00f273bb8e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ccea33d2-edf6-4c91-b5df-0c3c904ed3ce' class='xr-var-data-in' type='checkbox'><label for='data-ccea33d2-edf6-4c91-b5df-0c3c904ed3ce' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[24327.21778115, 10356.22732558, 44888.72052083, ...,\n",
+       "       [ 0.,  0.,  0., ...,  0.,  0.,  0.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>10X2</span></div><div class='xr-var-dims'>(trainId, sa3_pId)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.433e+04 1.036e+04 ... 3.969e+04</div><input id='attrs-00cbf0c1-7273-4bcb-9eb0-411cd7c5bca9' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-00cbf0c1-7273-4bcb-9eb0-411cd7c5bca9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1364818e-c95a-4b4b-b3cb-fb1f10e8adf2' class='xr-var-data-in' type='checkbox'><label for='data-1364818e-c95a-4b4b-b3cb-fb1f10e8adf2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[24327.21778115, 10356.22732558, 44888.72052083, ...,\n",
        "         3575.72966757, 25291.54751734, 13699.12899136],\n",
        "       [24614.27404779, 18519.87527018, 31391.13964575, ...,\n",
        "        59099.24871633,            nan, 51164.77864385],\n",
@@ -641,19 +641,19 @@
        "       [35950.59143105, 34622.67245949,            nan, ...,\n",
        "        25704.39844382, 40010.27628033, 49724.84350929],\n",
        "       [25126.06504715, 39922.69598648, 41360.48588647, ...,\n",
-       "        30853.30100468,  9017.90375475, 39688.4848398 ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>10X2_area</span></div><div class='xr-var-dims'>(dim_0, trainId, sa3_pId)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.025e+03 1.025e+03 ... 1.025e+03</div><input id='attrs-0d46df21-6a35-452a-89b1-d96affce7f2a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0d46df21-6a35-452a-89b1-d96affce7f2a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-44369c3c-0d28-4b93-9285-0989fd1f269e' class='xr-var-data-in' type='checkbox'><label for='data-44369c3c-0d28-4b93-9285-0989fd1f269e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[1025., 1025., 1025., ..., 1025., 1025., 1025.],\n",
+       "        30853.30100468,  9017.90375475, 39688.4848398 ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>10X2_area</span></div><div class='xr-var-dims'>(dim_0, trainId, sa3_pId)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.025e+03 1.025e+03 ... 1.025e+03</div><input id='attrs-0fc17a05-4e94-4858-aa54-204f93996330' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0fc17a05-4e94-4858-aa54-204f93996330' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-66cf97cc-ddcf-4487-8909-fe4abe727a5b' class='xr-var-data-in' type='checkbox'><label for='data-66cf97cc-ddcf-4487-8909-fe4abe727a5b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[1025., 1025., 1025., ..., 1025., 1025., 1025.],\n",
        "        [1025., 1025., 1025., ..., 1025.,   nan, 1025.],\n",
        "        [1025., 1025., 1025., ..., 1025., 1025.,   nan],\n",
        "        ...,\n",
        "        [1025., 1025., 1025., ..., 1025., 1025., 1025.],\n",
        "        [1025., 1025.,   nan, ..., 1025., 1025., 1025.],\n",
-       "        [1025., 1025., 1025., ..., 1025., 1025., 1025.]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>10X2_sat</span></div><div class='xr-var-dims'>(trainId, sa3_pId)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... nan 0.0 0.0 0.0</div><input id='attrs-5d892d0a-e86e-4b96-9ce8-5114e01922db' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5d892d0a-e86e-4b96-9ce8-5114e01922db' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1f5d588a-ab80-4801-a906-b5af7944cd19' class='xr-var-data-in' type='checkbox'><label for='data-1f5d588a-ab80-4801-a906-b5af7944cd19' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "        [1025., 1025., 1025., ..., 1025., 1025., 1025.]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>10X2_sat</span></div><div class='xr-var-dims'>(trainId, sa3_pId)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... nan 0.0 0.0 0.0</div><input id='attrs-fee5d014-3dc5-4bcc-9493-55348f23853e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-fee5d014-3dc5-4bcc-9493-55348f23853e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9e3057fb-7842-4730-b367-e47ff4eed36b' class='xr-var-data-in' type='checkbox'><label for='data-9e3057fb-7842-4730-b367-e47ff4eed36b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
        "       [ 0.,  0.,  0., ...,  0., nan,  0.],\n",
        "       [ 0.,  0.,  0., ...,  0.,  0., nan],\n",
        "       ...,\n",
        "       [ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
        "       [ 0.,  0., nan, ...,  0.,  0.,  0.],\n",
-       "       [ 0.,  0.,  0., ...,  0.,  0.,  0.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>11X</span></div><div class='xr-var-dims'>(trainId, sa3_pId)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>7.097e+04 3.447e+04 ... 9.93e+04</div><input id='attrs-4784fb19-1973-4194-919b-0a11568be13e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4784fb19-1973-4194-919b-0a11568be13e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dc5430c5-9a6f-4478-9b77-b92096d7ec4b' class='xr-var-data-in' type='checkbox'><label for='data-dc5430c5-9a6f-4478-9b77-b92096d7ec4b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 70969.6320257 ,  34470.66868255, 138529.51161393, ...,\n",
+       "       [ 0.,  0.,  0., ...,  0.,  0.,  0.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>11X</span></div><div class='xr-var-dims'>(trainId, sa3_pId)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>7.097e+04 3.447e+04 ... 9.93e+04</div><input id='attrs-af597757-bf15-48ea-a066-6a503c3746f7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-af597757-bf15-48ea-a066-6a503c3746f7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f3a93217-da4d-4d44-943f-a1553db3f628' class='xr-var-data-in' type='checkbox'><label for='data-f3a93217-da4d-4d44-943f-a1553db3f628' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 70969.6320257 ,  34470.66868255, 138529.51161393, ...,\n",
        "         10087.91782134,  60431.41183292,  33190.55564441],\n",
        "       [ 60816.87133934,  57941.30633882,  73421.409519  , ...,\n",
        "        138564.88026126,             nan, 116681.40061701],\n",
@@ -665,19 +665,19 @@
        "       [ 99859.07814295,  99676.24943721,             nan, ...,\n",
        "         64680.73023195,  99814.08378195, 120233.98962354],\n",
        "       [ 80238.35975491, 116466.62750121, 120150.76011098, ...,\n",
-       "         83267.09404574,  23667.98920249,  99304.32043079]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>11X_area</span></div><div class='xr-var-dims'>(dim_0, trainId, sa3_pId)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.173e+03 2.173e+03 ... 2.173e+03</div><input id='attrs-d1dbcbdb-8027-4cda-98be-135e6197940e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d1dbcbdb-8027-4cda-98be-135e6197940e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2c853822-aff1-4b25-841b-2dea0116cfa0' class='xr-var-data-in' type='checkbox'><label for='data-2c853822-aff1-4b25-841b-2dea0116cfa0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[2173., 2173., 2173., ..., 2173., 2173., 2173.],\n",
+       "         83267.09404574,  23667.98920249,  99304.32043079]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>11X_area</span></div><div class='xr-var-dims'>(dim_0, trainId, sa3_pId)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.173e+03 2.173e+03 ... 2.173e+03</div><input id='attrs-d87ad330-dad2-441f-99ca-532c597f2cae' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d87ad330-dad2-441f-99ca-532c597f2cae' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bb99dce7-84a4-4dea-a818-d64d237e36de' class='xr-var-data-in' type='checkbox'><label for='data-bb99dce7-84a4-4dea-a818-d64d237e36de' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[2173., 2173., 2173., ..., 2173., 2173., 2173.],\n",
        "        [2173., 2173., 2173., ..., 2173.,   nan, 2173.],\n",
        "        [2173., 2173., 2173., ..., 2173., 2173.,   nan],\n",
        "        ...,\n",
        "        [2173., 2173., 2173., ..., 2173., 2173., 2173.],\n",
        "        [2173., 2173.,   nan, ..., 2173., 2173., 2173.],\n",
-       "        [2173., 2173., 2173., ..., 2173., 2173., 2173.]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>11X_sat</span></div><div class='xr-var-dims'>(trainId, sa3_pId)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... nan 0.0 0.0 0.0</div><input id='attrs-15c151e7-25eb-4901-828b-17b53a4cbf2c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-15c151e7-25eb-4901-828b-17b53a4cbf2c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ff4651f9-a3af-4306-b1b0-eff9045f0083' class='xr-var-data-in' type='checkbox'><label for='data-ff4651f9-a3af-4306-b1b0-eff9045f0083' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "        [2173., 2173., 2173., ..., 2173., 2173., 2173.]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>11X_sat</span></div><div class='xr-var-dims'>(trainId, sa3_pId)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... nan 0.0 0.0 0.0</div><input id='attrs-834fe186-3787-4bce-851d-f68dee345eb0' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-834fe186-3787-4bce-851d-f68dee345eb0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-08ba150d-fbb0-4828-8148-bd2ed87b6c85' class='xr-var-data-in' type='checkbox'><label for='data-08ba150d-fbb0-4828-8148-bd2ed87b6c85' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
        "       [ 0.,  0.,  0., ...,  0., nan,  0.],\n",
        "       [ 0.,  0.,  0., ...,  0.,  0., nan],\n",
        "       ...,\n",
        "       [ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
        "       [ 0.,  0., nan, ...,  0.,  0.,  0.],\n",
-       "       [ 0.,  0.,  0., ...,  0.,  0.,  0.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>1X1</span></div><div class='xr-var-dims'>(trainId, sa3_pId)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>3.387e+04 1.121e+04 ... 3.775e+04</div><input id='attrs-875e04ac-f507-4d46-9b5e-6fe5dff6f96d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-875e04ac-f507-4d46-9b5e-6fe5dff6f96d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e7106c82-1f15-4f57-bc41-4e1e2f71b687' class='xr-var-data-in' type='checkbox'><label for='data-e7106c82-1f15-4f57-bc41-4e1e2f71b687' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[33865.63829357, 11213.27673785, 31505.13200897, ...,\n",
+       "       [ 0.,  0.,  0., ...,  0.,  0.,  0.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>1X1</span></div><div class='xr-var-dims'>(trainId, sa3_pId)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>3.387e+04 1.121e+04 ... 3.775e+04</div><input id='attrs-98ec60c0-4723-4ad0-9455-91e41cf96f5c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-98ec60c0-4723-4ad0-9455-91e41cf96f5c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-29f0111a-6fc0-40dd-a28e-9b125eb68748' class='xr-var-data-in' type='checkbox'><label for='data-29f0111a-6fc0-40dd-a28e-9b125eb68748' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[33865.63829357, 11213.27673785, 31505.13200897, ...,\n",
        "         3774.79496589, 16746.96924304,  8445.65878834],\n",
        "       [12596.97472971, 16234.00770038, 18137.64424309, ...,\n",
        "        35209.65685333,            nan, 39298.91723254],\n",
@@ -689,19 +689,19 @@
        "       [25606.87457499, 50314.77121561,            nan, ...,\n",
        "        22946.48088977, 41490.52766809, 37549.42324017],\n",
        "       [50429.36906388, 39652.54825146, 60245.67708156, ...,\n",
-       "        45849.00408388, 10677.00597914, 37746.9831283 ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>1X1_area</span></div><div class='xr-var-dims'>(dim_0, trainId, sa3_pId)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.025e+03 1.025e+03 ... 1.025e+03</div><input id='attrs-5d416e22-6af2-4d5e-9018-607144672708' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5d416e22-6af2-4d5e-9018-607144672708' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-037e87fa-9356-4c91-8931-7efd50b82bdb' class='xr-var-data-in' type='checkbox'><label for='data-037e87fa-9356-4c91-8931-7efd50b82bdb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[1025., 1025., 1025., ..., 1025., 1025., 1025.],\n",
+       "        45849.00408388, 10677.00597914, 37746.9831283 ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>1X1_area</span></div><div class='xr-var-dims'>(dim_0, trainId, sa3_pId)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.025e+03 1.025e+03 ... 1.025e+03</div><input id='attrs-9d060436-42b6-48df-9287-2b390a1db21e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9d060436-42b6-48df-9287-2b390a1db21e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a170af8f-d198-4a98-9146-f76214981caa' class='xr-var-data-in' type='checkbox'><label for='data-a170af8f-d198-4a98-9146-f76214981caa' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[1025., 1025., 1025., ..., 1025., 1025., 1025.],\n",
        "        [1025., 1025., 1025., ..., 1025.,   nan, 1025.],\n",
        "        [1025., 1025., 1025., ..., 1025., 1025.,   nan],\n",
        "        ...,\n",
        "        [1025., 1025., 1025., ..., 1025., 1025., 1025.],\n",
        "        [1025., 1025.,   nan, ..., 1025., 1025., 1025.],\n",
-       "        [1025., 1025., 1025., ..., 1025., 1025., 1025.]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>1X1_sat</span></div><div class='xr-var-dims'>(trainId, sa3_pId)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... nan 0.0 0.0 0.0</div><input id='attrs-0e169943-9c49-455d-b626-8a6a7b599ab7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0e169943-9c49-455d-b626-8a6a7b599ab7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-391fe1f1-0f0f-448f-aa65-6c1feecb059f' class='xr-var-data-in' type='checkbox'><label for='data-391fe1f1-0f0f-448f-aa65-6c1feecb059f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "        [1025., 1025., 1025., ..., 1025., 1025., 1025.]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>1X1_sat</span></div><div class='xr-var-dims'>(trainId, sa3_pId)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... nan 0.0 0.0 0.0</div><input id='attrs-d39bf668-690b-4b66-a4bb-b4fe5e15b06d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d39bf668-690b-4b66-a4bb-b4fe5e15b06d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-601aaca1-09b9-434f-8d34-75bbdf3eb9d8' class='xr-var-data-in' type='checkbox'><label for='data-601aaca1-09b9-434f-8d34-75bbdf3eb9d8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
        "       [ 0.,  0.,  0., ...,  0., nan,  0.],\n",
        "       [ 0.,  0.,  0., ...,  0.,  0., nan],\n",
        "       ...,\n",
        "       [ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
        "       [ 0.,  0., nan, ...,  0.,  0.,  0.],\n",
-       "       [ 0.,  0.,  0., ...,  0.,  0.,  0.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>1X2</span></div><div class='xr-var-dims'>(trainId, sa3_pId)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>6.46e+04 2.728e+04 ... 1.077e+05</div><input id='attrs-4ad316c1-5bd6-47cd-85fd-a0fb8359e603' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4ad316c1-5bd6-47cd-85fd-a0fb8359e603' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cab3604d-6819-4944-acfd-88f3bc1b2964' class='xr-var-data-in' type='checkbox'><label for='data-cab3604d-6819-4944-acfd-88f3bc1b2964' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 64598.13911203,  27278.97357575,  77455.08642098, ...,\n",
+       "       [ 0.,  0.,  0., ...,  0.,  0.,  0.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>1X2</span></div><div class='xr-var-dims'>(trainId, sa3_pId)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>6.46e+04 2.728e+04 ... 1.077e+05</div><input id='attrs-0b9124f0-d81b-4f91-96a8-046120078ffa' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0b9124f0-d81b-4f91-96a8-046120078ffa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7dbbbfd0-c553-40ee-81f4-7c70a61e2d2b' class='xr-var-data-in' type='checkbox'><label for='data-7dbbbfd0-c553-40ee-81f4-7c70a61e2d2b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 64598.13911203,  27278.97357575,  77455.08642098, ...,\n",
        "         10620.32398837,  49723.8457734 ,  26188.72048246],\n",
        "       [ 38242.2674034 ,  36647.77995267,  44674.46522651, ...,\n",
        "        109621.81926724,             nan, 112606.43576377],\n",
@@ -713,19 +713,19 @@
        "       [ 64626.83427868, 103353.24312938,             nan, ...,\n",
        "         69473.56994479, 117898.82167719, 110894.2360051 ],\n",
        "       [ 95817.92800084,  89203.2453908 , 131286.17735167, ...,\n",
-       "        112943.61126892,  24263.3411943 , 107724.72684994]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>1X2_area</span></div><div class='xr-var-dims'>(dim_0, trainId, sa3_pId)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.599e+03 1.599e+03 ... 1.599e+03</div><input id='attrs-114c42db-0332-485b-831c-30f994448d98' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-114c42db-0332-485b-831c-30f994448d98' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-790468d5-32e8-4104-bd5e-9f7ecbf44dd4' class='xr-var-data-in' type='checkbox'><label for='data-790468d5-32e8-4104-bd5e-9f7ecbf44dd4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[1599., 1599., 1599., ..., 1599., 1599., 1599.],\n",
+       "        112943.61126892,  24263.3411943 , 107724.72684994]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>1X2_area</span></div><div class='xr-var-dims'>(dim_0, trainId, sa3_pId)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.599e+03 1.599e+03 ... 1.599e+03</div><input id='attrs-29be2d68-c58a-4183-8284-14bb7d257e0b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-29be2d68-c58a-4183-8284-14bb7d257e0b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0721634e-17ce-414c-b104-6c7fd12ffefd' class='xr-var-data-in' type='checkbox'><label for='data-0721634e-17ce-414c-b104-6c7fd12ffefd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[1599., 1599., 1599., ..., 1599., 1599., 1599.],\n",
        "        [1599., 1599., 1599., ..., 1599.,   nan, 1599.],\n",
        "        [1599., 1599., 1599., ..., 1599., 1599.,   nan],\n",
        "        ...,\n",
        "        [1599., 1599., 1599., ..., 1599., 1599., 1599.],\n",
        "        [1599., 1599.,   nan, ..., 1599., 1599., 1599.],\n",
-       "        [1599., 1599., 1599., ..., 1599., 1599., 1599.]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>1X2_sat</span></div><div class='xr-var-dims'>(trainId, sa3_pId)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... nan 0.0 0.0 0.0</div><input id='attrs-503f9eec-3eed-4264-8a6c-fb8f9d272339' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-503f9eec-3eed-4264-8a6c-fb8f9d272339' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4d3dfe83-965f-44d4-9907-7d5fbb706db6' class='xr-var-data-in' type='checkbox'><label for='data-4d3dfe83-965f-44d4-9907-7d5fbb706db6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "        [1599., 1599., 1599., ..., 1599., 1599., 1599.]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>1X2_sat</span></div><div class='xr-var-dims'>(trainId, sa3_pId)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... nan 0.0 0.0 0.0</div><input id='attrs-bef3f86d-8fef-4eae-8730-61fb78f1dbd1' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-bef3f86d-8fef-4eae-8730-61fb78f1dbd1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9b6e3b99-cbce-43f6-9dbd-f8b7bdc9d374' class='xr-var-data-in' type='checkbox'><label for='data-9b6e3b99-cbce-43f6-9dbd-f8b7bdc9d374' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
        "       [ 0.,  0.,  0., ...,  0., nan,  0.],\n",
        "       [ 0.,  0.,  0., ...,  0.,  0., nan],\n",
        "       ...,\n",
        "       [ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
        "       [ 0.,  0., nan, ...,  0.,  0.,  0.],\n",
-       "       [ 0.,  0.,  0., ...,  0.,  0.,  0.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>2X1</span></div><div class='xr-var-dims'>(trainId, sa3_pId)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>8.47e+04 3.387e+04 ... 1.072e+05</div><input id='attrs-77b340cc-321c-4a95-9e7f-cbbbec02d823' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-77b340cc-321c-4a95-9e7f-cbbbec02d823' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7f22dd9e-6a4b-4991-a127-56b229b97f47' class='xr-var-data-in' type='checkbox'><label for='data-7f22dd9e-6a4b-4991-a127-56b229b97f47' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 84703.689036  ,  33871.87293386,  98802.28711498, ...,\n",
+       "       [ 0.,  0.,  0., ...,  0.,  0.,  0.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>2X1</span></div><div class='xr-var-dims'>(trainId, sa3_pId)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>8.47e+04 3.387e+04 ... 1.072e+05</div><input id='attrs-4743ab8c-6b73-4083-9d87-5c6406f0e24a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4743ab8c-6b73-4083-9d87-5c6406f0e24a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a2ae6bbd-493d-42f7-ae33-94ed633aaaf5' class='xr-var-data-in' type='checkbox'><label for='data-a2ae6bbd-493d-42f7-ae33-94ed633aaaf5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 84703.689036  ,  33871.87293386,  98802.28711498, ...,\n",
        "         11388.55906901,  49900.23452733,  25815.28128358],\n",
        "       [ 38326.56653537,  45646.6171231 ,  50236.07057405, ...,\n",
        "        104337.71407135,             nan, 110507.5155238 ],\n",
@@ -737,19 +737,19 @@
        "       [ 73816.4136342 , 128757.21300257,             nan, ...,\n",
        "         67470.66694272, 114552.53664725, 109743.27625248],\n",
        "       [126858.09270242, 111176.01540866, 157016.39109653, ...,\n",
-       "        120593.57715726,  28446.40398406, 107187.04697032]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>2X1_area</span></div><div class='xr-var-dims'>(dim_0, trainId, sa3_pId)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.599e+03 1.599e+03 ... 1.599e+03</div><input id='attrs-125ed0fd-2309-495d-aafe-9025db947c3e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-125ed0fd-2309-495d-aafe-9025db947c3e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f1a6d764-41dc-4957-ac74-cacd57b0994c' class='xr-var-data-in' type='checkbox'><label for='data-f1a6d764-41dc-4957-ac74-cacd57b0994c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[1599., 1599., 1599., ..., 1599., 1599., 1599.],\n",
+       "        120593.57715726,  28446.40398406, 107187.04697032]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>2X1_area</span></div><div class='xr-var-dims'>(dim_0, trainId, sa3_pId)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.599e+03 1.599e+03 ... 1.599e+03</div><input id='attrs-91f40f65-7b20-48c8-91de-b6a11ca5803e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-91f40f65-7b20-48c8-91de-b6a11ca5803e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cc371bb6-2c12-4874-97fa-d5c8da8255f5' class='xr-var-data-in' type='checkbox'><label for='data-cc371bb6-2c12-4874-97fa-d5c8da8255f5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[1599., 1599., 1599., ..., 1599., 1599., 1599.],\n",
        "        [1599., 1599., 1599., ..., 1599.,   nan, 1599.],\n",
        "        [1599., 1599., 1599., ..., 1599., 1599.,   nan],\n",
        "        ...,\n",
        "        [1599., 1599., 1599., ..., 1599., 1599., 1599.],\n",
        "        [1599., 1599.,   nan, ..., 1599., 1599., 1599.],\n",
-       "        [1599., 1599., 1599., ..., 1599., 1599., 1599.]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>2X1_sat</span></div><div class='xr-var-dims'>(trainId, sa3_pId)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... nan 0.0 0.0 0.0</div><input id='attrs-bc4388d1-0e46-45b6-a6b0-78377ebd6a40' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-bc4388d1-0e46-45b6-a6b0-78377ebd6a40' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4a58f982-9963-4594-9977-6cbd3aa4a491' class='xr-var-data-in' type='checkbox'><label for='data-4a58f982-9963-4594-9977-6cbd3aa4a491' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "        [1599., 1599., 1599., ..., 1599., 1599., 1599.]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>2X1_sat</span></div><div class='xr-var-dims'>(trainId, sa3_pId)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... nan 0.0 0.0 0.0</div><input id='attrs-f5e7126d-1a50-4fdd-bd43-4b5a540400fa' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f5e7126d-1a50-4fdd-bd43-4b5a540400fa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b97b6db9-502e-4984-a737-239dc9f0d2b9' class='xr-var-data-in' type='checkbox'><label for='data-b97b6db9-502e-4984-a737-239dc9f0d2b9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
        "       [ 0.,  0.,  0., ...,  0., nan,  0.],\n",
        "       [ 0.,  0.,  0., ...,  0.,  0., nan],\n",
        "       ...,\n",
        "       [ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
        "       [ 0.,  0., nan, ...,  0.,  0.,  0.],\n",
-       "       [ 0.,  0.,  0., ...,  0.,  0.,  0.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>2X2</span></div><div class='xr-var-dims'>(trainId, sa3_pId)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.5e+04 8.772e+03 ... 4.094e+04</div><input id='attrs-2b604672-ad99-40f1-9ae7-3dd4015b62be' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2b604672-ad99-40f1-9ae7-3dd4015b62be' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-efd84e44-adf1-4eaa-9d44-e8620085be8a' class='xr-var-data-in' type='checkbox'><label for='data-efd84e44-adf1-4eaa-9d44-e8620085be8a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[25000.37677414,  8771.75583668, 23366.01106168, ...,\n",
+       "       [ 0.,  0.,  0., ...,  0.,  0.,  0.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>2X2</span></div><div class='xr-var-dims'>(trainId, sa3_pId)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.5e+04 8.772e+03 ... 4.094e+04</div><input id='attrs-809ed120-4a91-4e66-a536-6519f6079bb9' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-809ed120-4a91-4e66-a536-6519f6079bb9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0aa665fb-915a-4b4a-b58c-488f7cc86dee' class='xr-var-data-in' type='checkbox'><label for='data-0aa665fb-915a-4b4a-b58c-488f7cc86dee' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[25000.37677414,  8771.75583668, 23366.01106168, ...,\n",
        "         3541.9445592 , 17648.54402853,  8800.47739128],\n",
        "       [12808.07111078, 12325.9497214 , 15456.17131582, ...,\n",
        "        39774.55103722,            nan, 42926.58610804],\n",
@@ -761,19 +761,19 @@
        "       [22296.72199377, 40116.22777797,            nan, ...,\n",
        "        25739.00550486, 47088.84808183, 40516.98851334],\n",
        "       [37296.91759173, 31159.50085532, 50845.95821347, ...,\n",
-       "        45596.25758413,  9144.218025  , 40937.81716451]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>2X2_area</span></div><div class='xr-var-dims'>(dim_0, trainId, sa3_pId)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.025e+03 1.025e+03 ... 1.025e+03</div><input id='attrs-2067e940-ffb9-4331-a5c5-6e151d219735' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2067e940-ffb9-4331-a5c5-6e151d219735' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cf674c51-3f70-4cf9-b4b3-ca67110ee45d' class='xr-var-data-in' type='checkbox'><label for='data-cf674c51-3f70-4cf9-b4b3-ca67110ee45d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[1025., 1025., 1025., ..., 1025., 1025., 1025.],\n",
+       "        45596.25758413,  9144.218025  , 40937.81716451]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>2X2_area</span></div><div class='xr-var-dims'>(dim_0, trainId, sa3_pId)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.025e+03 1.025e+03 ... 1.025e+03</div><input id='attrs-d976927d-dd16-4193-939a-94ab6bd9d66f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d976927d-dd16-4193-939a-94ab6bd9d66f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5fd35bf5-9641-4d80-baf6-eada93791e0d' class='xr-var-data-in' type='checkbox'><label for='data-5fd35bf5-9641-4d80-baf6-eada93791e0d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[1025., 1025., 1025., ..., 1025., 1025., 1025.],\n",
        "        [1025., 1025., 1025., ..., 1025.,   nan, 1025.],\n",
        "        [1025., 1025., 1025., ..., 1025., 1025.,   nan],\n",
        "        ...,\n",
        "        [1025., 1025., 1025., ..., 1025., 1025., 1025.],\n",
        "        [1025., 1025.,   nan, ..., 1025., 1025., 1025.],\n",
-       "        [1025., 1025., 1025., ..., 1025., 1025., 1025.]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>2X2_sat</span></div><div class='xr-var-dims'>(trainId, sa3_pId)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... nan 0.0 0.0 0.0</div><input id='attrs-3f6245de-50f8-403d-97d4-8194788531e0' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3f6245de-50f8-403d-97d4-8194788531e0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-45e2754f-1974-4008-83e0-2c53a35f44ba' class='xr-var-data-in' type='checkbox'><label for='data-45e2754f-1974-4008-83e0-2c53a35f44ba' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "        [1025., 1025., 1025., ..., 1025., 1025., 1025.]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>2X2_sat</span></div><div class='xr-var-dims'>(trainId, sa3_pId)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... nan 0.0 0.0 0.0</div><input id='attrs-e2e5a152-de45-4b7b-8b51-2203fb948914' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e2e5a152-de45-4b7b-8b51-2203fb948914' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7f139139-1896-46f5-850d-eef9bea19209' class='xr-var-data-in' type='checkbox'><label for='data-7f139139-1896-46f5-850d-eef9bea19209' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
        "       [ 0.,  0.,  0., ...,  0., nan,  0.],\n",
        "       [ 0.,  0.,  0., ...,  0.,  0., nan],\n",
        "       ...,\n",
        "       [ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
        "       [ 0.,  0., nan, ...,  0.,  0.,  0.],\n",
-       "       [ 0.,  0.,  0., ...,  0.,  0.,  0.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>3X</span></div><div class='xr-var-dims'>(trainId, sa3_pId)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>8.024e+04 2.717e+04 ... 9.646e+04</div><input id='attrs-90c7bc05-83d0-420c-84ed-0f952cf291d6' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-90c7bc05-83d0-420c-84ed-0f952cf291d6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6359ff56-ed79-44f3-9409-5785a8e23f7b' class='xr-var-data-in' type='checkbox'><label for='data-6359ff56-ed79-44f3-9409-5785a8e23f7b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 80235.87997316,  27172.88573835,  73591.69551828, ...,\n",
+       "       [ 0.,  0.,  0., ...,  0.,  0.,  0.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>3X</span></div><div class='xr-var-dims'>(trainId, sa3_pId)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>8.024e+04 2.717e+04 ... 9.646e+04</div><input id='attrs-45f07af2-5d26-42c0-887a-5a14bc288010' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-45f07af2-5d26-42c0-887a-5a14bc288010' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4884e07c-578e-42b8-8c0d-cc06a593cb48' class='xr-var-data-in' type='checkbox'><label for='data-4884e07c-578e-42b8-8c0d-cc06a593cb48' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 80235.87997316,  27172.88573835,  73591.69551828, ...,\n",
        "         10562.85167258,  42467.17042235,  22667.29061394],\n",
        "       [ 31948.46320328,  40950.10561578,  44463.37770825, ...,\n",
        "         90122.34888466,             nan, 101076.67925082],\n",
@@ -785,19 +785,19 @@
        "       [ 64038.79313099, 122341.7074611 ,             nan, ...,\n",
        "         59550.84666542, 104996.36578923,  94123.95361076],\n",
        "       [120707.76984033,  95579.72003392, 146573.78617008, ...,\n",
-       "        115318.92240455,  26959.01949465,  96460.9657922 ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>3X_area</span></div><div class='xr-var-dims'>(dim_0, trainId, sa3_pId)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.173e+03 2.173e+03 ... 2.173e+03</div><input id='attrs-bd61b7f7-1cbd-4e7f-9d1c-7a7acf4e07c0' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-bd61b7f7-1cbd-4e7f-9d1c-7a7acf4e07c0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-721737cd-b39a-4f0a-a739-a1cda7062d66' class='xr-var-data-in' type='checkbox'><label for='data-721737cd-b39a-4f0a-a739-a1cda7062d66' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[2173., 2173., 2173., ..., 2173., 2173., 2173.],\n",
+       "        115318.92240455,  26959.01949465,  96460.9657922 ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>3X_area</span></div><div class='xr-var-dims'>(dim_0, trainId, sa3_pId)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.173e+03 2.173e+03 ... 2.173e+03</div><input id='attrs-04c075f0-263e-41ba-8b4a-520d3d32173f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-04c075f0-263e-41ba-8b4a-520d3d32173f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7794fbb5-3149-4558-b182-e8c5d7719a1c' class='xr-var-data-in' type='checkbox'><label for='data-7794fbb5-3149-4558-b182-e8c5d7719a1c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[2173., 2173., 2173., ..., 2173., 2173., 2173.],\n",
        "        [2173., 2173., 2173., ..., 2173.,   nan, 2173.],\n",
        "        [2173., 2173., 2173., ..., 2173., 2173.,   nan],\n",
        "        ...,\n",
        "        [2173., 2173., 2173., ..., 2173., 2173., 2173.],\n",
        "        [2173., 2173.,   nan, ..., 2173., 2173., 2173.],\n",
-       "        [2173., 2173., 2173., ..., 2173., 2173., 2173.]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>3X_sat</span></div><div class='xr-var-dims'>(trainId, sa3_pId)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... nan 0.0 0.0 0.0</div><input id='attrs-dbe7d832-27a0-41e3-88b9-1e3757d622b9' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-dbe7d832-27a0-41e3-88b9-1e3757d622b9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6fde96cd-520b-4ae5-89bf-9992f7274b37' class='xr-var-data-in' type='checkbox'><label for='data-6fde96cd-520b-4ae5-89bf-9992f7274b37' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "        [2173., 2173., 2173., ..., 2173., 2173., 2173.]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>3X_sat</span></div><div class='xr-var-dims'>(trainId, sa3_pId)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... nan 0.0 0.0 0.0</div><input id='attrs-01367d7f-b9b9-4757-a40e-49e3ee2685cd' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-01367d7f-b9b9-4757-a40e-49e3ee2685cd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f2c15b7c-17f6-4cb7-9ac7-59f4c0087c78' class='xr-var-data-in' type='checkbox'><label for='data-f2c15b7c-17f6-4cb7-9ac7-59f4c0087c78' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
        "       [ 0.,  0.,  0., ...,  0., nan,  0.],\n",
        "       [ 0.,  0.,  0., ...,  0.,  0., nan],\n",
        "       ...,\n",
        "       [ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
        "       [ 0.,  0., nan, ...,  0.,  0.,  0.],\n",
-       "       [ 0.,  0.,  0., ...,  0.,  0.,  0.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>8X</span></div><div class='xr-var-dims'>(trainId, sa3_pId)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>5.376e+04 2.512e+04 ... 8.212e+04</div><input id='attrs-2557606c-b755-4c81-9344-391d1372bbfe' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2557606c-b755-4c81-9344-391d1372bbfe' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-021d47fc-05ef-4b54-bc7d-27c3786dd03f' class='xr-var-data-in' type='checkbox'><label for='data-021d47fc-05ef-4b54-bc7d-27c3786dd03f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 53763.66881389,  25120.53968035, 101823.55160489, ...,\n",
+       "       [ 0.,  0.,  0., ...,  0.,  0.,  0.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>8X</span></div><div class='xr-var-dims'>(trainId, sa3_pId)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>5.376e+04 2.512e+04 ... 8.212e+04</div><input id='attrs-3e255e7b-07dc-48aa-b881-b1b4875b5f63' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3e255e7b-07dc-48aa-b881-b1b4875b5f63' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-36a7b169-eb80-4640-8857-e539cb9fee57' class='xr-var-data-in' type='checkbox'><label for='data-36a7b169-eb80-4640-8857-e539cb9fee57' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 53763.66881389,  25120.53968035, 101823.55160489, ...,\n",
        "          7983.90625627,  51702.68618263,  29077.14503722],\n",
        "       [ 51355.68957867,  44066.15219122,  64403.46774715, ...,\n",
        "        119918.18376034,             nan, 102328.57525882],\n",
@@ -809,19 +809,19 @@
        "       [ 80158.88489907,  77048.04566432,             nan, ...,\n",
        "         54178.65737969,  81910.09245742, 100203.96286185],\n",
        "       [ 58477.84116721,  89334.83481581,  91789.54776208, ...,\n",
-       "         65764.59284878,  19243.19248843,  82120.36395432]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>8X_area</span></div><div class='xr-var-dims'>(dim_0, trainId, sa3_pId)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.132e+03 2.132e+03 ... 2.132e+03</div><input id='attrs-bb79be69-fa10-459a-aad5-797b746680d3' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-bb79be69-fa10-459a-aad5-797b746680d3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8c3e25fa-bd91-485b-88c1-1c5d8302c0d0' class='xr-var-data-in' type='checkbox'><label for='data-8c3e25fa-bd91-485b-88c1-1c5d8302c0d0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[2132., 2132., 2132., ..., 2132., 2132., 2132.],\n",
+       "         65764.59284878,  19243.19248843,  82120.36395432]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>8X_area</span></div><div class='xr-var-dims'>(dim_0, trainId, sa3_pId)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.132e+03 2.132e+03 ... 2.132e+03</div><input id='attrs-18ba60d7-012e-4b28-8776-0924f080fd16' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-18ba60d7-012e-4b28-8776-0924f080fd16' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8844dd9f-dc5e-47c0-8f42-e57f24358c60' class='xr-var-data-in' type='checkbox'><label for='data-8844dd9f-dc5e-47c0-8f42-e57f24358c60' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[2132., 2132., 2132., ..., 2132., 2132., 2132.],\n",
        "        [2132., 2132., 2132., ..., 2132.,   nan, 2132.],\n",
        "        [2132., 2132., 2132., ..., 2132., 2132.,   nan],\n",
        "        ...,\n",
        "        [2132., 2132., 2132., ..., 2132., 2132., 2132.],\n",
        "        [2132., 2132.,   nan, ..., 2132., 2132., 2132.],\n",
-       "        [2132., 2132., 2132., ..., 2132., 2132., 2132.]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>8X_sat</span></div><div class='xr-var-dims'>(trainId, sa3_pId)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... nan 0.0 0.0 0.0</div><input id='attrs-4af58a19-4d2f-4d3d-84f6-89738d94edaf' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4af58a19-4d2f-4d3d-84f6-89738d94edaf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ca7679ba-ed46-4572-ab3b-6c2d5f6fac8a' class='xr-var-data-in' type='checkbox'><label for='data-ca7679ba-ed46-4572-ab3b-6c2d5f6fac8a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "        [2132., 2132., 2132., ..., 2132., 2132., 2132.]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>8X_sat</span></div><div class='xr-var-dims'>(trainId, sa3_pId)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... nan 0.0 0.0 0.0</div><input id='attrs-b4be045e-ba5e-443f-8f22-89010be2327d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b4be045e-ba5e-443f-8f22-89010be2327d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5e8c10e8-7025-4cf5-8333-6b2ff7ed5202' class='xr-var-data-in' type='checkbox'><label for='data-5e8c10e8-7025-4cf5-8333-6b2ff7ed5202' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
        "       [ 0.,  0.,  0., ...,  0., nan,  0.],\n",
        "       [ 0.,  0.,  0., ...,  0.,  0., nan],\n",
        "       ...,\n",
        "       [ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
        "       [ 0.,  0., nan, ...,  0.,  0.,  0.],\n",
-       "       [ 0.,  0.,  0., ...,  0.,  0.,  0.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>9X1</span></div><div class='xr-var-dims'>(trainId, sa3_pId)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>3.015e+04 1.407e+04 ... 3.873e+04</div><input id='attrs-3b1f2156-b2b6-42bb-9ade-a1429ae90fba' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3b1f2156-b2b6-42bb-9ade-a1429ae90fba' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-311ecbe8-ce1a-4bf3-9a99-c5beeeed2230' class='xr-var-data-in' type='checkbox'><label for='data-311ecbe8-ce1a-4bf3-9a99-c5beeeed2230' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[30152.31168967, 14071.7298265 , 57522.08032613, ...,\n",
+       "       [ 0.,  0.,  0., ...,  0.,  0.,  0.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>9X1</span></div><div class='xr-var-dims'>(trainId, sa3_pId)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>3.015e+04 1.407e+04 ... 3.873e+04</div><input id='attrs-3094b3fb-be27-464b-ba16-da902d53c73d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3094b3fb-be27-464b-ba16-da902d53c73d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-87d57330-f260-4e81-8391-7d674188df56' class='xr-var-data-in' type='checkbox'><label for='data-87d57330-f260-4e81-8391-7d674188df56' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[30152.31168967, 14071.7298265 , 57522.08032613, ...,\n",
        "         3699.8380959 , 23204.8858223 , 12230.14045811],\n",
        "       [23474.07689103, 23068.81093937, 28522.45475896, ...,\n",
        "        53661.32867389,            nan, 44711.83930933],\n",
@@ -833,19 +833,19 @@
        "       [39373.20169246, 41428.81237063,            nan, ...,\n",
        "        24945.11106688, 39534.15527552, 47787.06961115],\n",
        "       [33321.08989249, 48171.59944049, 49510.02004625, ...,\n",
-       "        33324.17694945,  9191.62156755, 38728.37780903]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>9X1_area</span></div><div class='xr-var-dims'>(dim_0, trainId, sa3_pId)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.025e+03 1.025e+03 ... 1.025e+03</div><input id='attrs-6d2805da-fc26-49a8-bbb6-508221228461' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6d2805da-fc26-49a8-bbb6-508221228461' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fa7887e6-037e-4cfa-9b46-6feba39bad05' class='xr-var-data-in' type='checkbox'><label for='data-fa7887e6-037e-4cfa-9b46-6feba39bad05' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[1025., 1025., 1025., ..., 1025., 1025., 1025.],\n",
+       "        33324.17694945,  9191.62156755, 38728.37780903]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>9X1_area</span></div><div class='xr-var-dims'>(dim_0, trainId, sa3_pId)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.025e+03 1.025e+03 ... 1.025e+03</div><input id='attrs-c04e0ac6-43d9-46e5-8748-238497549dbf' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c04e0ac6-43d9-46e5-8748-238497549dbf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4b33a959-33d1-43c0-a4e2-3db48a5effc7' class='xr-var-data-in' type='checkbox'><label for='data-4b33a959-33d1-43c0-a4e2-3db48a5effc7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[1025., 1025., 1025., ..., 1025., 1025., 1025.],\n",
        "        [1025., 1025., 1025., ..., 1025.,   nan, 1025.],\n",
        "        [1025., 1025., 1025., ..., 1025., 1025.,   nan],\n",
        "        ...,\n",
        "        [1025., 1025., 1025., ..., 1025., 1025., 1025.],\n",
        "        [1025., 1025.,   nan, ..., 1025., 1025., 1025.],\n",
-       "        [1025., 1025., 1025., ..., 1025., 1025., 1025.]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>9X1_sat</span></div><div class='xr-var-dims'>(trainId, sa3_pId)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... nan 0.0 0.0 0.0</div><input id='attrs-36da455b-130e-4080-9b0f-2e8d9167d004' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-36da455b-130e-4080-9b0f-2e8d9167d004' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d5eb5ebe-a0ba-46bf-a98e-7101774b0692' class='xr-var-data-in' type='checkbox'><label for='data-d5eb5ebe-a0ba-46bf-a98e-7101774b0692' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "        [1025., 1025., 1025., ..., 1025., 1025., 1025.]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>9X1_sat</span></div><div class='xr-var-dims'>(trainId, sa3_pId)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... nan 0.0 0.0 0.0</div><input id='attrs-2e4a5c39-ee6c-4d77-86ed-ab99d42a32a1' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2e4a5c39-ee6c-4d77-86ed-ab99d42a32a1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b4e57064-2ee3-47a5-be97-18c01d06fd78' class='xr-var-data-in' type='checkbox'><label for='data-b4e57064-2ee3-47a5-be97-18c01d06fd78' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
        "       [ 0.,  0.,  0., ...,  0., nan,  0.],\n",
        "       [ 0.,  0.,  0., ...,  0.,  0., nan],\n",
        "       ...,\n",
        "       [ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
        "       [ 0.,  0., nan, ...,  0.,  0.,  0.],\n",
-       "       [ 0.,  0.,  0., ...,  0.,  0.,  0.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>9X2</span></div><div class='xr-var-dims'>(trainId, sa3_pId)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>6.18e+04 3.221e+04 ... 1.012e+05</div><input id='attrs-443e5db8-de30-4503-b870-ce4f1b1d00f0' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-443e5db8-de30-4503-b870-ce4f1b1d00f0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9f2c0377-a5ec-4642-8876-f4b2fed88342' class='xr-var-data-in' type='checkbox'><label for='data-9f2c0377-a5ec-4642-8876-f4b2fed88342' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 61800.20788508,  32209.39111578, 137142.71652244, ...,\n",
+       "       [ 0.,  0.,  0., ...,  0.,  0.,  0.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>9X2</span></div><div class='xr-var-dims'>(trainId, sa3_pId)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>6.18e+04 3.221e+04 ... 1.012e+05</div><input id='attrs-78392ddb-09e6-4e8d-a3d0-b35c57d5fbef' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-78392ddb-09e6-4e8d-a3d0-b35c57d5fbef' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-90af08be-dea8-499c-867d-0aacba0e93c6' class='xr-var-data-in' type='checkbox'><label for='data-90af08be-dea8-499c-867d-0aacba0e93c6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 61800.20788508,  32209.39111578, 137142.71652244, ...,\n",
        "          9231.43316641,  70916.36080048,  40144.9504278 ],\n",
        "       [ 71951.60766981,  51505.19176212,  89316.82275225, ...,\n",
        "        161224.08850405,             nan, 137111.51746996],\n",
@@ -857,19 +857,19 @@
        "       [104326.45344783,  91053.76771146,             nan, ...,\n",
        "         67211.68766532,  96958.58232447, 133834.9529295 ],\n",
        "       [ 63940.36355764, 116721.34057637, 106259.5755798 , ...,\n",
-       "         74481.83470586,  24046.30507672, 101226.17090629]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>9X2_area</span></div><div class='xr-var-dims'>(dim_0, trainId, sa3_pId)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.599e+03 1.599e+03 ... 1.599e+03</div><input id='attrs-74125f60-44d6-4ed5-ab1b-66164430cf99' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-74125f60-44d6-4ed5-ab1b-66164430cf99' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c4f66bd7-f111-4101-8d1d-1c04157ea501' class='xr-var-data-in' type='checkbox'><label for='data-c4f66bd7-f111-4101-8d1d-1c04157ea501' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[1599., 1599., 1599., ..., 1599., 1599., 1599.],\n",
+       "         74481.83470586,  24046.30507672, 101226.17090629]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>9X2_area</span></div><div class='xr-var-dims'>(dim_0, trainId, sa3_pId)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.599e+03 1.599e+03 ... 1.599e+03</div><input id='attrs-32ed9404-1ebb-44cb-8e97-61f2776233d2' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-32ed9404-1ebb-44cb-8e97-61f2776233d2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-be3713b5-5216-4e1f-b823-5d0576e79acb' class='xr-var-data-in' type='checkbox'><label for='data-be3713b5-5216-4e1f-b823-5d0576e79acb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[1599., 1599., 1599., ..., 1599., 1599., 1599.],\n",
        "        [1599., 1599., 1599., ..., 1599.,   nan, 1599.],\n",
        "        [1599., 1599., 1599., ..., 1599., 1599.,   nan],\n",
        "        ...,\n",
        "        [1599., 1599., 1599., ..., 1599., 1599., 1599.],\n",
        "        [1599., 1599.,   nan, ..., 1599., 1599., 1599.],\n",
-       "        [1599., 1599., 1599., ..., 1599., 1599., 1599.]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>9X2_sat</span></div><div class='xr-var-dims'>(trainId, sa3_pId)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... nan 0.0 0.0 0.0</div><input id='attrs-9c6f8328-f75e-46b0-90cc-17f5a48ca85b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9c6f8328-f75e-46b0-90cc-17f5a48ca85b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1cec2d0c-d624-40f1-8ef4-a395dc32223f' class='xr-var-data-in' type='checkbox'><label for='data-1cec2d0c-d624-40f1-8ef4-a395dc32223f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "        [1599., 1599., 1599., ..., 1599., 1599., 1599.]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>9X2_sat</span></div><div class='xr-var-dims'>(trainId, sa3_pId)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... nan 0.0 0.0 0.0</div><input id='attrs-123bde8e-125b-4b1f-9a49-f06bc5778df9' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-123bde8e-125b-4b1f-9a49-f06bc5778df9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-75913346-89a8-4cf4-bcc6-d664ef629be7' class='xr-var-data-in' type='checkbox'><label for='data-75913346-89a8-4cf4-bcc6-d664ef629be7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
        "       [ 0.,  0.,  0., ...,  0., nan,  0.],\n",
        "       [ 0.,  0.,  0., ...,  0.,  0., nan],\n",
        "       ...,\n",
        "       [ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
        "       [ 0.,  0., nan, ...,  0.,  0.,  0.],\n",
-       "       [ 0.,  0.,  0., ...,  0.,  0.,  0.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>BAM1932M</span></div><div class='xr-var-dims'>(trainId, sa3_pId)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.372461 0.37799144 ... 0.32007748</div><input id='attrs-77e01eee-2a59-4dfc-b2fb-94d441332255' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-77e01eee-2a59-4dfc-b2fb-94d441332255' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e6f16547-83ff-4a42-a8eb-2d6281e91d53' class='xr-var-data-in' type='checkbox'><label for='data-e6f16547-83ff-4a42-a8eb-2d6281e91d53' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.372461  , 0.37799144, 0.38179466, ..., 0.48387662, 0.4853085 ,\n",
+       "       [ 0.,  0.,  0., ...,  0.,  0.,  0.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>BAM1932M</span></div><div class='xr-var-dims'>(trainId, sa3_pId)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.372461 0.37799144 ... 0.32007748</div><input id='attrs-1f054fb9-59dd-47da-86a7-f0a4dba7ca9c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-1f054fb9-59dd-47da-86a7-f0a4dba7ca9c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5535e209-1d8c-494a-9012-8afbaa21f3a1' class='xr-var-data-in' type='checkbox'><label for='data-5535e209-1d8c-494a-9012-8afbaa21f3a1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.372461  , 0.37799144, 0.38179466, ..., 0.48387662, 0.4853085 ,\n",
        "        0.5569868 ],\n",
        "       [0.36231935, 0.36837757, 0.3770458 , ..., 0.47311684, 0.46325892,\n",
        "        0.5195634 ],\n",
@@ -881,8 +881,8 @@
        "       [0.20560913, 0.21059036, 0.21703322, ..., 0.21597159, 0.20878987,\n",
        "        0.27849904],\n",
        "       [0.24189827, 0.2459369 , 0.25180838, ..., 0.2672911 , 0.25765008,\n",
-       "        0.32007748]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PP800_DelayLine</span></div><div class='xr-var-dims'>(trainId)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>7.532 7.532 7.531 ... 7.684 7.683</div><input id='attrs-2867c2a7-80d9-4d99-9ac5-cca8d5a44a13' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2867c2a7-80d9-4d99-9ac5-cca8d5a44a13' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9f3a765f-c9e9-4b91-b460-c4f313fddbe3' class='xr-var-data-in' type='checkbox'><label for='data-9f3a765f-c9e9-4b91-b460-c4f313fddbe3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([7.53174591, 7.53153992, 7.53131104, ..., 7.68374634, 7.68356323,\n",
-       "       7.68333435])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b0</span></div><div class='xr-var-dims'>(trainId, sa3_pId)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>896.0 -76.99 131.4 ... 152.9 658.5</div><input id='attrs-a325c72b-5844-46ce-9344-3386023109f6' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a325c72b-5844-46ce-9344-3386023109f6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-625be070-b64c-4bf2-b55d-eee9d21b0192' class='xr-var-data-in' type='checkbox'><label for='data-625be070-b64c-4bf2-b55d-eee9d21b0192' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 895.97441894,  -76.98964988,  131.44735841, ...,  -61.10022104,\n",
+       "        0.32007748]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PP800_DelayLine</span></div><div class='xr-var-dims'>(trainId)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>7.532 7.532 7.531 ... 7.684 7.683</div><input id='attrs-538f4267-42bb-46c0-92e1-436b0a1ebef9' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-538f4267-42bb-46c0-92e1-436b0a1ebef9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b3279f17-2ade-4fdc-9b3e-346b87882b40' class='xr-var-data-in' type='checkbox'><label for='data-b3279f17-2ade-4fdc-9b3e-346b87882b40' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([7.53174591, 7.53153992, 7.53131104, ..., 7.68374634, 7.68356323,\n",
+       "       7.68333435])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b0</span></div><div class='xr-var-dims'>(trainId, sa3_pId)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>896.0 -76.99 131.4 ... 152.9 658.5</div><input id='attrs-004dbc5b-5364-4123-a884-588d0764744a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-004dbc5b-5364-4123-a884-588d0764744a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-465504c6-caaf-4e59-a3dd-1e9092207d89' class='xr-var-data-in' type='checkbox'><label for='data-465504c6-caaf-4e59-a3dd-1e9092207d89' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 895.97441894,  -76.98964988,  131.44735841, ...,  -61.10022104,\n",
        "         202.93585058,  130.79157704],\n",
        "       [  -2.59697311,  152.41716781,  137.35383054, ...,  160.66207468,\n",
        "                  nan,  498.90273457],\n",
@@ -894,19 +894,19 @@
        "       [  45.98455035, 1214.76728736,           nan, ...,  242.62800628,\n",
        "         283.73335989,  470.73810626],\n",
        "       [ 959.35908721,  450.63224553,  941.51342998, ...,  683.54109722,\n",
-       "         152.87834876,  658.51994466]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b0_area</span></div><div class='xr-var-dims'>(dim_0, trainId, sa3_pId)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.472e+03 1.472e+03 ... 1.472e+03</div><input id='attrs-46af6946-3f2f-44a2-99ba-261024656551' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-46af6946-3f2f-44a2-99ba-261024656551' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-425b487e-5bed-4547-8c1d-d7d65ae06402' class='xr-var-data-in' type='checkbox'><label for='data-425b487e-5bed-4547-8c1d-d7d65ae06402' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[1472., 1472., 1472., ..., 1472., 1472., 1472.],\n",
+       "         152.87834876,  658.51994466]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b0_area</span></div><div class='xr-var-dims'>(dim_0, trainId, sa3_pId)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.472e+03 1.472e+03 ... 1.472e+03</div><input id='attrs-52dc0d1b-0bb5-42cf-a02f-55af08cc7002' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-52dc0d1b-0bb5-42cf-a02f-55af08cc7002' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c609d513-1e64-49e4-9c83-a952bdeb206f' class='xr-var-data-in' type='checkbox'><label for='data-c609d513-1e64-49e4-9c83-a952bdeb206f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[1472., 1472., 1472., ..., 1472., 1472., 1472.],\n",
        "        [1472., 1472., 1472., ..., 1472.,   nan, 1472.],\n",
        "        [1472., 1472., 1472., ..., 1472., 1472.,   nan],\n",
        "        ...,\n",
        "        [1472., 1472., 1472., ..., 1472., 1472., 1472.],\n",
        "        [1472., 1472.,   nan, ..., 1472., 1472., 1472.],\n",
-       "        [1472., 1472., 1472., ..., 1472., 1472., 1472.]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b0_sat</span></div><div class='xr-var-dims'>(trainId, sa3_pId)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... nan 0.0 0.0 0.0</div><input id='attrs-0e3de3ca-86a0-46e0-8375-2fbbddad0622' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0e3de3ca-86a0-46e0-8375-2fbbddad0622' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ea387109-b1e2-4819-9ff7-140ebeda60be' class='xr-var-data-in' type='checkbox'><label for='data-ea387109-b1e2-4819-9ff7-140ebeda60be' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "        [1472., 1472., 1472., ..., 1472., 1472., 1472.]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b0_sat</span></div><div class='xr-var-dims'>(trainId, sa3_pId)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... nan 0.0 0.0 0.0</div><input id='attrs-cb5a88e0-043c-4fc0-91c4-dd8bbe323520' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-cb5a88e0-043c-4fc0-91c4-dd8bbe323520' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a0ba2a12-7851-446e-82d6-0e1631ee93f9' class='xr-var-data-in' type='checkbox'><label for='data-a0ba2a12-7851-446e-82d6-0e1631ee93f9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
        "       [ 0.,  0.,  0., ...,  0., nan,  0.],\n",
        "       [ 0.,  0.,  0., ...,  0.,  0., nan],\n",
        "       ...,\n",
        "       [ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
        "       [ 0.,  0., nan, ...,  0.,  0.,  0.],\n",
-       "       [ 0.,  0.,  0., ...,  0.,  0.,  0.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b1</span></div><div class='xr-var-dims'>(trainId, sa3_pId)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.852e+03 -16.05 ... 1.714e+03</div><input id='attrs-e4b4678d-e2d6-4c47-ae09-0d4d582f22e7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e4b4678d-e2d6-4c47-ae09-0d4d582f22e7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a0d7f182-f19e-4be0-a93c-34df32e6d91a' class='xr-var-data-in' type='checkbox'><label for='data-a0d7f182-f19e-4be0-a93c-34df32e6d91a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[1852.01954356,  -16.05411648,  697.35343876, ...,  -72.05363694,\n",
+       "       [ 0.,  0.,  0., ...,  0.,  0.,  0.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b1</span></div><div class='xr-var-dims'>(trainId, sa3_pId)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.852e+03 -16.05 ... 1.714e+03</div><input id='attrs-c4473df6-d8d5-4be2-a835-6646d2c5ce59' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c4473df6-d8d5-4be2-a835-6646d2c5ce59' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b359855b-8c1c-4f59-b096-27fcc8b3f5fd' class='xr-var-data-in' type='checkbox'><label for='data-b359855b-8c1c-4f59-b096-27fcc8b3f5fd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[1852.01954356,  -16.05411648,  697.35343876, ...,  -72.05363694,\n",
        "         377.35643877,  194.06942833],\n",
        "       [ 154.91332264,  328.22281456,  377.39756675, ..., 1112.52221745,\n",
        "                  nan, 1591.18910554],\n",
@@ -918,7 +918,7 @@
        "       [ 432.41206894, 2590.19805835,           nan, ...,  744.5663812 ,\n",
        "        1384.48763098, 1694.0216894 ],\n",
        "       [2232.68412386, 1225.5097821 , 2770.77534872, ..., 2015.67002373,\n",
-       "         364.92413434, 1713.87791351]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b10</span></div><div class='xr-var-dims'>(trainId, sa3_pId)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.02e+03 255.1 ... 1.728 1.396e+03</div><input id='attrs-09e2c5bc-b785-4b50-ad18-e7bc76a708a6' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-09e2c5bc-b785-4b50-ad18-e7bc76a708a6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2edb9c21-42dc-4489-8c09-82cb0802241a' class='xr-var-data-in' type='checkbox'><label for='data-2edb9c21-42dc-4489-8c09-82cb0802241a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 1.02011971e+03,  2.55131287e+02,  3.69523626e+03, ...,\n",
+       "         364.92413434, 1713.87791351]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b10</span></div><div class='xr-var-dims'>(trainId, sa3_pId)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.02e+03 255.1 ... 1.728 1.396e+03</div><input id='attrs-517e591d-e50b-4948-bdba-42030cecb1f6' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-517e591d-e50b-4948-bdba-42030cecb1f6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c011c6b6-30a1-4ce3-b67f-d9302c9fc32c' class='xr-var-data-in' type='checkbox'><label for='data-c011c6b6-30a1-4ce3-b67f-d9302c9fc32c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 1.02011971e+03,  2.55131287e+02,  3.69523626e+03, ...,\n",
        "        -1.35589771e+02,  6.32023955e+02,  2.14170925e+02],\n",
        "       [ 6.64160055e+02,  5.79345001e+02,  1.10931570e+03, ...,\n",
        "         3.07401619e+03,             nan,  2.01606572e+03],\n",
@@ -930,19 +930,19 @@
        "       [ 1.72173949e+03,  1.83634357e+03,             nan, ...,\n",
        "         7.27853372e+02,  1.23510721e+03,  2.22955630e+03],\n",
        "       [ 1.03043748e+03,  2.45178667e+03,  2.14666826e+03, ...,\n",
-       "         8.99240498e+02,  1.72764630e+00,  1.39599956e+03]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b10_area</span></div><div class='xr-var-dims'>(dim_0, trainId, sa3_pId)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.472e+03 1.472e+03 ... 1.472e+03</div><input id='attrs-bbe373d0-1be0-4c1d-8f05-527dc0a400e1' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-bbe373d0-1be0-4c1d-8f05-527dc0a400e1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-58d5624c-efc8-4efb-a0df-1508f917a0dc' class='xr-var-data-in' type='checkbox'><label for='data-58d5624c-efc8-4efb-a0df-1508f917a0dc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[1472., 1472., 1472., ..., 1472., 1472., 1472.],\n",
+       "         8.99240498e+02,  1.72764630e+00,  1.39599956e+03]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b10_area</span></div><div class='xr-var-dims'>(dim_0, trainId, sa3_pId)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.472e+03 1.472e+03 ... 1.472e+03</div><input id='attrs-32b1b9e5-0fcd-4146-9979-7a2406bfffce' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-32b1b9e5-0fcd-4146-9979-7a2406bfffce' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a9a74fbf-7aed-46fe-b771-7d62ededd3f0' class='xr-var-data-in' type='checkbox'><label for='data-a9a74fbf-7aed-46fe-b771-7d62ededd3f0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[1472., 1472., 1472., ..., 1472., 1472., 1472.],\n",
        "        [1472., 1472., 1472., ..., 1472.,   nan, 1472.],\n",
        "        [1472., 1472., 1472., ..., 1472., 1472.,   nan],\n",
        "        ...,\n",
        "        [1472., 1472., 1472., ..., 1472., 1472., 1472.],\n",
        "        [1472., 1472.,   nan, ..., 1472., 1472., 1472.],\n",
-       "        [1472., 1472., 1472., ..., 1472., 1472., 1472.]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b10_sat</span></div><div class='xr-var-dims'>(trainId, sa3_pId)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... nan 0.0 0.0 0.0</div><input id='attrs-45b6ad49-a1a1-49fb-89a6-2d9c0b714602' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-45b6ad49-a1a1-49fb-89a6-2d9c0b714602' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bd2b9355-57e4-4d7d-8d79-18252e3c78b8' class='xr-var-data-in' type='checkbox'><label for='data-bd2b9355-57e4-4d7d-8d79-18252e3c78b8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "        [1472., 1472., 1472., ..., 1472., 1472., 1472.]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b10_sat</span></div><div class='xr-var-dims'>(trainId, sa3_pId)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... nan 0.0 0.0 0.0</div><input id='attrs-1299d4ad-4336-4c24-9913-cf98d3a51f42' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-1299d4ad-4336-4c24-9913-cf98d3a51f42' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c04138f8-c9e0-4282-af52-59b32e25cf66' class='xr-var-data-in' type='checkbox'><label for='data-c04138f8-c9e0-4282-af52-59b32e25cf66' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
        "       [ 0.,  0.,  0., ...,  0., nan,  0.],\n",
        "       [ 0.,  0.,  0., ...,  0.,  0., nan],\n",
        "       ...,\n",
        "       [ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
        "       [ 0.,  0., nan, ...,  0.,  0.,  0.],\n",
-       "       [ 0.,  0.,  0., ...,  0.,  0.,  0.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b11</span></div><div class='xr-var-dims'>(trainId, sa3_pId)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-4.758 -14.06 ... -118.3 78.32</div><input id='attrs-e3e6b174-2822-4f2f-ac42-c6fbc435a3bc' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e3e6b174-2822-4f2f-ac42-c6fbc435a3bc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7b46d31d-5383-41c2-b103-0d245ebb49cf' class='xr-var-data-in' type='checkbox'><label for='data-7b46d31d-5383-41c2-b103-0d245ebb49cf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[  -4.75751857,  -14.05996126,  498.15516144, ...,  -78.58969231,\n",
+       "       [ 0.,  0.,  0., ...,  0.,  0.,  0.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b11</span></div><div class='xr-var-dims'>(trainId, sa3_pId)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-4.758 -14.06 ... -118.3 78.32</div><input id='attrs-3e175b4d-f13e-4fdd-b378-5a6cbd9ecdbe' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3e175b4d-f13e-4fdd-b378-5a6cbd9ecdbe' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6fd9edc9-e186-457c-a78c-2266c87ce106' class='xr-var-data-in' type='checkbox'><label for='data-6fd9edc9-e186-457c-a78c-2266c87ce106' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[  -4.75751857,  -14.05996126,  498.15516144, ...,  -78.58969231,\n",
        "          -9.33221914,  -21.10082301],\n",
        "       [ -50.84521702,   41.12549522,   80.91652897, ...,  392.63305115,\n",
        "                  nan,  138.81102447],\n",
@@ -954,31 +954,31 @@
        "       [ 156.27793208,  183.70118926,           nan, ...,   98.56981558,\n",
        "          62.33700277,   91.08348828],\n",
        "       [  21.34367504,  250.74246934,  162.89834958, ...,  -31.72689411,\n",
-       "        -118.27459599,   78.32302888]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b11_area</span></div><div class='xr-var-dims'>(dim_0, trainId, sa3_pId)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.472e+03 1.472e+03 ... 1.472e+03</div><input id='attrs-bb6decfd-a6ea-4dc3-9684-9443d41c56ab' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-bb6decfd-a6ea-4dc3-9684-9443d41c56ab' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8f773034-205b-4383-9d6d-8190cd161ce2' class='xr-var-data-in' type='checkbox'><label for='data-8f773034-205b-4383-9d6d-8190cd161ce2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[1472., 1472., 1472., ..., 1472., 1472., 1472.],\n",
+       "        -118.27459599,   78.32302888]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b11_area</span></div><div class='xr-var-dims'>(dim_0, trainId, sa3_pId)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.472e+03 1.472e+03 ... 1.472e+03</div><input id='attrs-0636cf44-fd73-4c09-baf1-51b5eedea650' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0636cf44-fd73-4c09-baf1-51b5eedea650' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-954ffe8c-2006-4474-8860-9bf247d870d7' class='xr-var-data-in' type='checkbox'><label for='data-954ffe8c-2006-4474-8860-9bf247d870d7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[1472., 1472., 1472., ..., 1472., 1472., 1472.],\n",
        "        [1472., 1472., 1472., ..., 1472.,   nan, 1472.],\n",
        "        [1472., 1472., 1472., ..., 1472., 1472.,   nan],\n",
        "        ...,\n",
        "        [1472., 1472., 1472., ..., 1472., 1472., 1472.],\n",
        "        [1472., 1472.,   nan, ..., 1472., 1472., 1472.],\n",
-       "        [1472., 1472., 1472., ..., 1472., 1472., 1472.]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b11_sat</span></div><div class='xr-var-dims'>(trainId, sa3_pId)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... nan 0.0 0.0 0.0</div><input id='attrs-335b2a03-4de8-4e11-a1a4-a6fc0a73fffa' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-335b2a03-4de8-4e11-a1a4-a6fc0a73fffa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e4eeb1e8-a0cc-46ec-be76-bd3e8128ce0f' class='xr-var-data-in' type='checkbox'><label for='data-e4eeb1e8-a0cc-46ec-be76-bd3e8128ce0f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "        [1472., 1472., 1472., ..., 1472., 1472., 1472.]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b11_sat</span></div><div class='xr-var-dims'>(trainId, sa3_pId)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... nan 0.0 0.0 0.0</div><input id='attrs-64367689-10b2-4ba7-9cf3-7983d12166cc' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-64367689-10b2-4ba7-9cf3-7983d12166cc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-abd26f5c-7b40-4b69-be25-09931424ce2e' class='xr-var-data-in' type='checkbox'><label for='data-abd26f5c-7b40-4b69-be25-09931424ce2e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
        "       [ 0.,  0.,  0., ...,  0., nan,  0.],\n",
        "       [ 0.,  0.,  0., ...,  0.,  0., nan],\n",
        "       ...,\n",
        "       [ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
        "       [ 0.,  0., nan, ...,  0.,  0.,  0.],\n",
-       "       [ 0.,  0.,  0., ...,  0.,  0.,  0.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b1_area</span></div><div class='xr-var-dims'>(dim_0, trainId, sa3_pId)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.472e+03 1.472e+03 ... 1.472e+03</div><input id='attrs-06984fc5-b6e9-44f2-a6ef-b35a0a38cf12' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-06984fc5-b6e9-44f2-a6ef-b35a0a38cf12' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-eb4e2f5c-9d8f-4a69-bdd6-2969bbcf2913' class='xr-var-data-in' type='checkbox'><label for='data-eb4e2f5c-9d8f-4a69-bdd6-2969bbcf2913' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[1472., 1472., 1472., ..., 1472., 1472., 1472.],\n",
+       "       [ 0.,  0.,  0., ...,  0.,  0.,  0.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b1_area</span></div><div class='xr-var-dims'>(dim_0, trainId, sa3_pId)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.472e+03 1.472e+03 ... 1.472e+03</div><input id='attrs-c5fb1dc8-c067-4284-a307-47f83fa46ab1' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c5fb1dc8-c067-4284-a307-47f83fa46ab1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2cf78a09-6867-45ac-b413-01760d414d01' class='xr-var-data-in' type='checkbox'><label for='data-2cf78a09-6867-45ac-b413-01760d414d01' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[1472., 1472., 1472., ..., 1472., 1472., 1472.],\n",
        "        [1472., 1472., 1472., ..., 1472.,   nan, 1472.],\n",
        "        [1472., 1472., 1472., ..., 1472., 1472.,   nan],\n",
        "        ...,\n",
        "        [1472., 1472., 1472., ..., 1472., 1472., 1472.],\n",
        "        [1472., 1472.,   nan, ..., 1472., 1472., 1472.],\n",
-       "        [1472., 1472., 1472., ..., 1472., 1472., 1472.]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b1_sat</span></div><div class='xr-var-dims'>(trainId, sa3_pId)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... nan 0.0 0.0 0.0</div><input id='attrs-dfaefa41-2b48-4f08-9f04-54961fbe9b13' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-dfaefa41-2b48-4f08-9f04-54961fbe9b13' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8ea8cbe5-34d6-4fbe-936e-a1bff53423b9' class='xr-var-data-in' type='checkbox'><label for='data-8ea8cbe5-34d6-4fbe-936e-a1bff53423b9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "        [1472., 1472., 1472., ..., 1472., 1472., 1472.]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b1_sat</span></div><div class='xr-var-dims'>(trainId, sa3_pId)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... nan 0.0 0.0 0.0</div><input id='attrs-20662cb6-2b51-4503-8a62-1d7e2614b285' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-20662cb6-2b51-4503-8a62-1d7e2614b285' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-35e80e0a-5750-4991-9cec-efbea85edd3d' class='xr-var-data-in' type='checkbox'><label for='data-35e80e0a-5750-4991-9cec-efbea85edd3d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
        "       [ 0.,  0.,  0., ...,  0., nan,  0.],\n",
        "       [ 0.,  0.,  0., ...,  0.,  0., nan],\n",
        "       ...,\n",
        "       [ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
        "       [ 0.,  0., nan, ...,  0.,  0.,  0.],\n",
-       "       [ 0.,  0.,  0., ...,  0.,  0.,  0.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b2</span></div><div class='xr-var-dims'>(trainId, sa3_pId)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.819e+03 59.44 ... 259.4 1.636e+03</div><input id='attrs-d4029cf1-6143-4e93-be06-af91c0070867' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d4029cf1-6143-4e93-be06-af91c0070867' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-18debdbd-4e18-4ad5-9994-e9bc138bc579' class='xr-var-data-in' type='checkbox'><label for='data-18debdbd-4e18-4ad5-9994-e9bc138bc579' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[1819.29797148,   59.43992481, 1183.39688835, ..., -107.4197494 ,\n",
+       "       [ 0.,  0.,  0., ...,  0.,  0.,  0.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b2</span></div><div class='xr-var-dims'>(trainId, sa3_pId)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.819e+03 59.44 ... 259.4 1.636e+03</div><input id='attrs-4f8d7926-e146-42af-b8f0-4f8349d1f067' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4f8d7926-e146-42af-b8f0-4f8349d1f067' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ee50b8a9-5d46-46a2-963d-974136eb0dcf' class='xr-var-data-in' type='checkbox'><label for='data-ee50b8a9-5d46-46a2-963d-974136eb0dcf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[1819.29797148,   59.43992481, 1183.39688835, ..., -107.4197494 ,\n",
        "         415.03908208,  129.50552922],\n",
        "       [ 148.67367019,  409.31383212,  382.00184306, ..., 1128.24072625,\n",
        "                  nan, 1473.24950052],\n",
@@ -990,19 +990,19 @@
        "       [ 589.55491051, 2742.88279749,           nan, ...,  640.40165626,\n",
        "        1489.76595498, 1610.25074264],\n",
        "       [2581.86142386, 1567.08121787, 3152.56127573, ..., 1947.17809874,\n",
-       "         259.38659739, 1635.91487651]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b2_area</span></div><div class='xr-var-dims'>(dim_0, trainId, sa3_pId)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.472e+03 1.472e+03 ... 1.472e+03</div><input id='attrs-63231584-2089-4d61-93cd-783c0a7d846e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-63231584-2089-4d61-93cd-783c0a7d846e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a740f135-9519-400d-98f0-c9ac4954d004' class='xr-var-data-in' type='checkbox'><label for='data-a740f135-9519-400d-98f0-c9ac4954d004' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[1472., 1472., 1472., ..., 1472., 1472., 1472.],\n",
+       "         259.38659739, 1635.91487651]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b2_area</span></div><div class='xr-var-dims'>(dim_0, trainId, sa3_pId)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.472e+03 1.472e+03 ... 1.472e+03</div><input id='attrs-9f35b855-345c-4d8a-955a-b021f830dec4' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9f35b855-345c-4d8a-955a-b021f830dec4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-de341448-b8a3-4406-b3ee-0054c6343774' class='xr-var-data-in' type='checkbox'><label for='data-de341448-b8a3-4406-b3ee-0054c6343774' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[1472., 1472., 1472., ..., 1472., 1472., 1472.],\n",
        "        [1472., 1472., 1472., ..., 1472.,   nan, 1472.],\n",
        "        [1472., 1472., 1472., ..., 1472., 1472.,   nan],\n",
        "        ...,\n",
        "        [1472., 1472., 1472., ..., 1472., 1472., 1472.],\n",
        "        [1472., 1472.,   nan, ..., 1472., 1472., 1472.],\n",
-       "        [1472., 1472., 1472., ..., 1472., 1472., 1472.]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b2_sat</span></div><div class='xr-var-dims'>(trainId, sa3_pId)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... nan 0.0 0.0 0.0</div><input id='attrs-ab010413-4b76-4c77-ada6-ff773fdfd09f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ab010413-4b76-4c77-ada6-ff773fdfd09f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-63ad7d0e-ac98-4258-8581-13ca6bb2d553' class='xr-var-data-in' type='checkbox'><label for='data-63ad7d0e-ac98-4258-8581-13ca6bb2d553' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "        [1472., 1472., 1472., ..., 1472., 1472., 1472.]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b2_sat</span></div><div class='xr-var-dims'>(trainId, sa3_pId)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... nan 0.0 0.0 0.0</div><input id='attrs-3a1d2fb8-2534-441f-ab7a-7a951d26acf0' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3a1d2fb8-2534-441f-ab7a-7a951d26acf0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-77212de0-1747-4145-9d77-36a71fb61e98' class='xr-var-data-in' type='checkbox'><label for='data-77212de0-1747-4145-9d77-36a71fb61e98' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
        "       [ 0.,  0.,  0., ...,  0., nan,  0.],\n",
        "       [ 0.,  0.,  0., ...,  0.,  0., nan],\n",
        "       ...,\n",
        "       [ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
        "       [ 0.,  0., nan, ...,  0.,  0.,  0.],\n",
-       "       [ 0.,  0.,  0., ...,  0.,  0.,  0.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b3</span></div><div class='xr-var-dims'>(trainId, sa3_pId)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>316.5 -153.4 14.88 ... -109.7 242.5</div><input id='attrs-15fb244f-7d72-4015-afa0-619b9681e15b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-15fb244f-7d72-4015-afa0-619b9681e15b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4d3ccdb9-06d6-449e-bed0-51c7e964db1d' class='xr-var-data-in' type='checkbox'><label for='data-4d3ccdb9-06d6-449e-bed0-51c7e964db1d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 3.16532278e+02, -1.53435032e+02,  1.48781640e+01, ...,\n",
+       "       [ 0.,  0.,  0., ...,  0.,  0.,  0.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b3</span></div><div class='xr-var-dims'>(trainId, sa3_pId)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>316.5 -153.4 14.88 ... -109.7 242.5</div><input id='attrs-880e98e7-5915-4e2a-a275-2ec73303b4c8' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-880e98e7-5915-4e2a-a275-2ec73303b4c8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-575f0d8c-700c-4176-8635-da4ad39c4207' class='xr-var-data-in' type='checkbox'><label for='data-575f0d8c-700c-4176-8635-da4ad39c4207' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 3.16532278e+02, -1.53435032e+02,  1.48781640e+01, ...,\n",
        "        -1.13440317e+02,  3.85722068e+01, -6.34933769e+01],\n",
        "       [-1.32063773e+02,  1.93817154e+00, -5.99406097e+01, ...,\n",
        "        -8.84851361e+01,             nan,  7.55904319e+01],\n",
@@ -1014,19 +1014,19 @@
        "       [-1.34755404e+02,  6.25885592e+02,             nan, ...,\n",
        "        -5.27324357e-01,  1.57071407e+02,  1.16731069e+02],\n",
        "       [ 5.03711922e+02,  1.67635178e+02,  3.65791497e+02, ...,\n",
-       "         2.53416198e+02, -1.09719819e+02,  2.42539783e+02]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b3_area</span></div><div class='xr-var-dims'>(dim_0, trainId, sa3_pId)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.472e+03 1.472e+03 ... 1.472e+03</div><input id='attrs-4c0d9b49-4217-4c52-9e4f-53bcc6b1cf9a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4c0d9b49-4217-4c52-9e4f-53bcc6b1cf9a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-119df552-1823-4264-8c10-2e612b166876' class='xr-var-data-in' type='checkbox'><label for='data-119df552-1823-4264-8c10-2e612b166876' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[1472., 1472., 1472., ..., 1472., 1472., 1472.],\n",
+       "         2.53416198e+02, -1.09719819e+02,  2.42539783e+02]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b3_area</span></div><div class='xr-var-dims'>(dim_0, trainId, sa3_pId)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.472e+03 1.472e+03 ... 1.472e+03</div><input id='attrs-daaebb5b-fbb4-44bd-8b4c-a81f5769e6cc' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-daaebb5b-fbb4-44bd-8b4c-a81f5769e6cc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bce34274-2e5c-4736-89d3-89f077a7f543' class='xr-var-data-in' type='checkbox'><label for='data-bce34274-2e5c-4736-89d3-89f077a7f543' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[1472., 1472., 1472., ..., 1472., 1472., 1472.],\n",
        "        [1472., 1472., 1472., ..., 1472.,   nan, 1472.],\n",
        "        [1472., 1472., 1472., ..., 1472., 1472.,   nan],\n",
        "        ...,\n",
        "        [1472., 1472., 1472., ..., 1472., 1472., 1472.],\n",
        "        [1472., 1472.,   nan, ..., 1472., 1472., 1472.],\n",
-       "        [1472., 1472., 1472., ..., 1472., 1472., 1472.]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b3_sat</span></div><div class='xr-var-dims'>(trainId, sa3_pId)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... nan 0.0 0.0 0.0</div><input id='attrs-a4764c8f-6f08-434d-aab7-85b4f5036d14' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a4764c8f-6f08-434d-aab7-85b4f5036d14' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-67622673-36db-4fef-81be-97ebb3e69c30' class='xr-var-data-in' type='checkbox'><label for='data-67622673-36db-4fef-81be-97ebb3e69c30' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "        [1472., 1472., 1472., ..., 1472., 1472., 1472.]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b3_sat</span></div><div class='xr-var-dims'>(trainId, sa3_pId)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... nan 0.0 0.0 0.0</div><input id='attrs-f9591da7-56b9-42a9-b73e-19d444f11cfe' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f9591da7-56b9-42a9-b73e-19d444f11cfe' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c6548103-3371-4ade-8a96-81a7d2e96e06' class='xr-var-data-in' type='checkbox'><label for='data-c6548103-3371-4ade-8a96-81a7d2e96e06' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
        "       [ 0.,  0.,  0., ...,  0., nan,  0.],\n",
        "       [ 0.,  0.,  0., ...,  0.,  0., nan],\n",
        "       ...,\n",
        "       [ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
        "       [ 0.,  0., nan, ...,  0.,  0.,  0.],\n",
-       "       [ 0.,  0.,  0., ...,  0.,  0.,  0.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b8</span></div><div class='xr-var-dims'>(trainId, sa3_pId)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>7.056 28.0 378.5 ... -121.0 132.9</div><input id='attrs-232136de-3c25-47d4-b34a-1c80f6bcc668' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-232136de-3c25-47d4-b34a-1c80f6bcc668' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d69bcd8d-1f30-4d2c-85a4-3b64a451d2e5' class='xr-var-data-in' type='checkbox'><label for='data-d69bcd8d-1f30-4d2c-85a4-3b64a451d2e5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 7.05594106e+00,  2.79953683e+01,  3.78541093e+02, ...,\n",
+       "       [ 0.,  0.,  0., ...,  0.,  0.,  0.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b8</span></div><div class='xr-var-dims'>(trainId, sa3_pId)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>7.056 28.0 378.5 ... -121.0 132.9</div><input id='attrs-ab932843-0fed-40bc-a7ce-6229c4ce5840' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ab932843-0fed-40bc-a7ce-6229c4ce5840' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2405a294-9b8c-4003-b02e-35e08751dd9b' class='xr-var-data-in' type='checkbox'><label for='data-2405a294-9b8c-4003-b02e-35e08751dd9b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 7.05594106e+00,  2.79953683e+01,  3.78541093e+02, ...,\n",
        "        -5.34852078e+01,  1.85552570e-01, -2.12946262e+01],\n",
        "       [-5.82690076e+01,  6.80018889e+01,  9.42235728e+01, ...,\n",
        "         3.52558703e+02,             nan,  1.49378826e+02],\n",
@@ -1038,19 +1038,19 @@
        "       [ 1.49649360e+02,  2.10604677e+02,             nan, ...,\n",
        "         1.35020513e+02,  9.13791289e+01,  6.46683239e+01],\n",
        "       [ 7.73762055e+01,  2.07170311e+02,  2.14378500e+02, ...,\n",
-       "        -2.71120045e+01, -1.21035809e+02,  1.32861446e+02]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b8_area</span></div><div class='xr-var-dims'>(dim_0, trainId, sa3_pId)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.472e+03 1.472e+03 ... 1.472e+03</div><input id='attrs-ff038caa-230c-41ed-9d54-683b6de05b99' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ff038caa-230c-41ed-9d54-683b6de05b99' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9dab18d0-1b99-487d-b5c7-a1a1f56d2956' class='xr-var-data-in' type='checkbox'><label for='data-9dab18d0-1b99-487d-b5c7-a1a1f56d2956' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[1472., 1472., 1472., ..., 1472., 1472., 1472.],\n",
+       "        -2.71120045e+01, -1.21035809e+02,  1.32861446e+02]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b8_area</span></div><div class='xr-var-dims'>(dim_0, trainId, sa3_pId)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.472e+03 1.472e+03 ... 1.472e+03</div><input id='attrs-795bb282-a771-43d8-9ce6-b6a2993f7eb7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-795bb282-a771-43d8-9ce6-b6a2993f7eb7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-eba8c45b-10e8-425b-8290-01ebd0fa38e6' class='xr-var-data-in' type='checkbox'><label for='data-eba8c45b-10e8-425b-8290-01ebd0fa38e6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[1472., 1472., 1472., ..., 1472., 1472., 1472.],\n",
        "        [1472., 1472., 1472., ..., 1472.,   nan, 1472.],\n",
        "        [1472., 1472., 1472., ..., 1472., 1472.,   nan],\n",
        "        ...,\n",
        "        [1472., 1472., 1472., ..., 1472., 1472., 1472.],\n",
        "        [1472., 1472.,   nan, ..., 1472., 1472., 1472.],\n",
-       "        [1472., 1472., 1472., ..., 1472., 1472., 1472.]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b8_sat</span></div><div class='xr-var-dims'>(trainId, sa3_pId)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... nan 0.0 0.0 0.0</div><input id='attrs-87812940-7b50-410b-9fd0-bf18c91c715e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-87812940-7b50-410b-9fd0-bf18c91c715e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f866edb3-731f-4af4-b632-549632b30462' class='xr-var-data-in' type='checkbox'><label for='data-f866edb3-731f-4af4-b632-549632b30462' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "        [1472., 1472., 1472., ..., 1472., 1472., 1472.]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b8_sat</span></div><div class='xr-var-dims'>(trainId, sa3_pId)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... nan 0.0 0.0 0.0</div><input id='attrs-330d85ed-b2b7-404e-ac97-22e13a607c77' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-330d85ed-b2b7-404e-ac97-22e13a607c77' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d0d97df0-25de-4971-ad72-df3f3ffbd747' class='xr-var-data-in' type='checkbox'><label for='data-d0d97df0-25de-4971-ad72-df3f3ffbd747' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
        "       [ 0.,  0.,  0., ...,  0., nan,  0.],\n",
        "       [ 0.,  0.,  0., ...,  0.,  0., nan],\n",
        "       ...,\n",
        "       [ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
        "       [ 0.,  0., nan, ...,  0.,  0.,  0.],\n",
-       "       [ 0.,  0.,  0., ...,  0.,  0.,  0.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b9</span></div><div class='xr-var-dims'>(trainId, sa3_pId)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>175.4 -0.8806 ... -212.7 572.8</div><input id='attrs-09c7b8ff-cb16-4674-b08d-e876daff42f3' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-09c7b8ff-cb16-4674-b08d-e876daff42f3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4d2ee57c-92fc-497f-8d9a-80272e6cee18' class='xr-var-data-in' type='checkbox'><label for='data-4d2ee57c-92fc-497f-8d9a-80272e6cee18' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 1.75412175e+02, -8.80615765e-01,  1.76157618e+03, ...,\n",
+       "       [ 0.,  0.,  0., ...,  0.,  0.,  0.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b9</span></div><div class='xr-var-dims'>(trainId, sa3_pId)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>175.4 -0.8806 ... -212.7 572.8</div><input id='attrs-e07f0ba6-5fa7-44d6-90c0-3b5df4139102' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e07f0ba6-5fa7-44d6-90c0-3b5df4139102' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fa9d5749-e42a-4fdd-81b8-ff07f0080353' class='xr-var-data-in' type='checkbox'><label for='data-fa9d5749-e42a-4fdd-81b8-ff07f0080353' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 1.75412175e+02, -8.80615765e-01,  1.76157618e+03, ...,\n",
        "        -1.48666677e+02,  1.83631320e+02, -3.88743876e+01],\n",
        "       [ 2.65255649e+02,  1.66131280e+02,  6.32115823e+02, ...,\n",
        "         2.02038528e+03,             nan,  1.25428572e+03],\n",
@@ -1062,50 +1062,50 @@
        "       [ 8.96297857e+02,  7.01218070e+02,             nan, ...,\n",
        "         2.56043371e+02,  4.92939926e+02,  1.09426398e+03],\n",
        "       [ 2.49355697e+02,  1.14627057e+03,  8.58486282e+02, ...,\n",
-       "         1.69375295e+02, -2.12731370e+02,  5.72841036e+02]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b9_area</span></div><div class='xr-var-dims'>(dim_0, trainId, sa3_pId)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.472e+03 1.472e+03 ... 1.472e+03</div><input id='attrs-beb802ba-8a27-4428-8b51-e807e68f088f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-beb802ba-8a27-4428-8b51-e807e68f088f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-adf7fca2-551f-412a-9a6e-13aef71c617a' class='xr-var-data-in' type='checkbox'><label for='data-adf7fca2-551f-412a-9a6e-13aef71c617a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[1472., 1472., 1472., ..., 1472., 1472., 1472.],\n",
+       "         1.69375295e+02, -2.12731370e+02,  5.72841036e+02]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b9_area</span></div><div class='xr-var-dims'>(dim_0, trainId, sa3_pId)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.472e+03 1.472e+03 ... 1.472e+03</div><input id='attrs-d7f9a30a-d929-4097-b082-902357a28dfa' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d7f9a30a-d929-4097-b082-902357a28dfa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-865e6e84-8da6-46a2-8351-110c853a7a3d' class='xr-var-data-in' type='checkbox'><label for='data-865e6e84-8da6-46a2-8351-110c853a7a3d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[1472., 1472., 1472., ..., 1472., 1472., 1472.],\n",
        "        [1472., 1472., 1472., ..., 1472.,   nan, 1472.],\n",
        "        [1472., 1472., 1472., ..., 1472., 1472.,   nan],\n",
        "        ...,\n",
        "        [1472., 1472., 1472., ..., 1472., 1472., 1472.],\n",
        "        [1472., 1472.,   nan, ..., 1472., 1472., 1472.],\n",
-       "        [1472., 1472., 1472., ..., 1472., 1472., 1472.]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b9_sat</span></div><div class='xr-var-dims'>(trainId, sa3_pId)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... nan 0.0 0.0 0.0</div><input id='attrs-3fb0cd17-4e17-4c4f-ab5b-1aee7ddb84a3' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3fb0cd17-4e17-4c4f-ab5b-1aee7ddb84a3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d01beaa3-743c-450f-bd40-feeec49369bc' class='xr-var-data-in' type='checkbox'><label for='data-d01beaa3-743c-450f-bd40-feeec49369bc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "        [1472., 1472., 1472., ..., 1472., 1472., 1472.]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b9_sat</span></div><div class='xr-var-dims'>(trainId, sa3_pId)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... nan 0.0 0.0 0.0</div><input id='attrs-4fb89f91-11b3-45dc-95bd-a3f82ea45d9d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4fb89f91-11b3-45dc-95bd-a3f82ea45d9d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4c839a19-25df-4e7c-863e-4a32f8f5b041' class='xr-var-data-in' type='checkbox'><label for='data-4c839a19-25df-4e7c-863e-4a32f8f5b041' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
        "       [ 0.,  0.,  0., ...,  0., nan,  0.],\n",
        "       [ 0.,  0.,  0., ...,  0.,  0., nan],\n",
        "       ...,\n",
        "       [ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
        "       [ 0.,  0., nan, ...,  0.,  0.,  0.],\n",
-       "       [ 0.,  0.,  0., ...,  0.,  0.,  0.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>bunchPatternTable</span></div><div class='xr-var-dims'>(trainId, pulse_slot)</div><div class='xr-var-dtype'>uint32</div><div class='xr-var-preview xr-preview'>2113321 0 2097193 0 ... 0 0 0 0</div><input id='attrs-b7d51dda-66f6-4b66-b2c7-eb4fed9b9f37' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b7d51dda-66f6-4b66-b2c7-eb4fed9b9f37' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-557f6047-8453-4877-9aeb-e50d46ffc80d' class='xr-var-data-in' type='checkbox'><label for='data-557f6047-8453-4877-9aeb-e50d46ffc80d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[2113321,       0, 2097193, ...,       0,       0,       0],\n",
+       "       [ 0.,  0.,  0., ...,  0.,  0.,  0.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>bunchPatternTable</span></div><div class='xr-var-dims'>(trainId, pulse_slot)</div><div class='xr-var-dtype'>uint32</div><div class='xr-var-preview xr-preview'>2113321 0 2097193 0 ... 0 0 0 0</div><input id='attrs-d6e9a245-70c9-449c-88a5-0acccf3608c5' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d6e9a245-70c9-449c-88a5-0acccf3608c5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fcd03df2-81de-4a03-a14c-9f02edd9cb4a' class='xr-var-data-in' type='checkbox'><label for='data-fcd03df2-81de-4a03-a14c-9f02edd9cb4a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[2113321,       0, 2097193, ...,       0,       0,       0],\n",
        "       [2113321,       0, 2097193, ...,       0,       0,       0],\n",
        "       [2113321,       0, 2097193, ...,       0,       0,       0],\n",
        "       ...,\n",
        "       [2113321,       0, 2097193, ...,       0,       0,       0],\n",
        "       [2113321,       0, 2097193, ...,       0,       0,       0],\n",
        "       [2113321,       0, 2097193, ...,       0,       0,       0]],\n",
-       "      dtype=uint32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>delay_mm</span></div><div class='xr-var-dims'>(trainId, sa3_pId)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-3.223 -3.222 ... -3.391 -3.381</div><input id='attrs-9e000a49-344d-418d-8337-b47b84d2aedb' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9e000a49-344d-418d-8337-b47b84d2aedb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b5e350e0-fbe7-4513-bfeb-a8cd97c04ee8' class='xr-var-data-in' type='checkbox'><label for='data-b5e350e0-fbe7-4513-bfeb-a8cd97c04ee8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-3.22272385, -3.22189428, -3.2213238 , ..., -3.20601151,\n",
-       "        -3.20579673, -3.19504498],\n",
-       "       [-3.22403896, -3.22313023, -3.22182999, ..., -3.20741934,\n",
-       "        -3.20889803, -3.20045236],\n",
-       "       [-3.21757465, -3.21663322, -3.2161192 , ..., -3.20333623,\n",
-       "        -3.20408289, -3.19408229],\n",
+       "      dtype=uint32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>delay_mm</span></div><div class='xr-var-dims'>(trainId, sa3_pId)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>7.526 7.525 7.524 ... 7.694 7.684</div><input id='attrs-317862f3-9b26-40e7-b882-bdb44ead0229' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-317862f3-9b26-40e7-b882-bdb44ead0229' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0fcd8159-af00-4b34-befa-0fcb7a1f9bf1' class='xr-var-data-in' type='checkbox'><label for='data-0fcd8159-af00-4b34-befa-0fcb7a1f9bf1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[7.52570068, 7.52487111, 7.52430063, ..., 7.50898834, 7.50877355,\n",
+       "        7.49802181],\n",
+       "       [7.52701579, 7.52610706, 7.52480682, ..., 7.51039617, 7.51187485,\n",
+       "        7.50342919],\n",
+       "       [7.52055148, 7.51961005, 7.51909602, ..., 7.50631306, 7.50705972,\n",
+       "        7.49705912],\n",
        "       ...,\n",
-       "       [-3.39661761, -3.39655364, -3.39623244, ..., -3.39703492,\n",
-       "        -3.3980117 , -3.39001999],\n",
-       "       [-3.39886134, -3.39811416, -3.39714773, ..., -3.39730698,\n",
-       "        -3.39838423, -3.38792786],\n",
-       "       [-3.39318893, -3.39258314, -3.39170242, ..., -3.38938001,\n",
-       "        -3.39082616, -3.38146205]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>delay_ps</span></div><div class='xr-var-dims'>(trainId, sa3_pId)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-21.48 -21.48 ... -22.61 -22.54</div><input id='attrs-e3ac71a0-25f7-4aa9-8cd4-842236648df8' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e3ac71a0-25f7-4aa9-8cd4-842236648df8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e02b3820-e04f-4ce5-9e5b-cdd3b2ada2ed' class='xr-var-data-in' type='checkbox'><label for='data-e02b3820-e04f-4ce5-9e5b-cdd3b2ada2ed' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-21.48482568, -21.47929523, -21.47549201, ..., -21.37341005,\n",
-       "        -21.37197817, -21.30029986],\n",
-       "       [-21.49359308, -21.48753486, -21.47886662, ..., -21.38279558,\n",
-       "        -21.3926535 , -21.33634905],\n",
-       "       [-21.45049765, -21.44422149, -21.44079464, ..., -21.35557487,\n",
-       "        -21.36055261, -21.29388195],\n",
+       "       [7.69959444, 7.69953046, 7.69920927, ..., 7.70001175, 7.70098852,\n",
+       "        7.69299682],\n",
+       "       [7.70183817, 7.70109099, 7.70012456, ..., 7.7002838 , 7.70136106,\n",
+       "        7.69090469],\n",
+       "       [7.69616576, 7.69555997, 7.69467925, ..., 7.69235684, 7.69380299,\n",
+       "        7.68443888]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>delay_ps</span></div><div class='xr-var-dims'>(trainId, sa3_pId)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>50.17 50.17 50.16 ... 51.29 51.23</div><input id='attrs-f32a2277-3b4b-4022-9974-e7df73c7353d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f32a2277-3b4b-4022-9974-e7df73c7353d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-58ca8550-59c0-48c5-aa70-23b71f09fd6b' class='xr-var-data-in' type='checkbox'><label for='data-58ca8550-59c0-48c5-aa70-23b71f09fd6b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[50.17133786, 50.16580742, 50.16200419, ..., 50.05992224,\n",
+       "        50.05849036, 49.98681205],\n",
+       "       [50.18010526, 50.17404705, 50.1653788 , ..., 50.06930777,\n",
+       "        50.07916569, 50.02286124],\n",
+       "       [50.13700984, 50.13073368, 50.12730683, ..., 50.04208706,\n",
+       "        50.04706479, 49.98039414],\n",
        "       ...,\n",
-       "       [-22.64411741, -22.64369091, -22.6415496 , ..., -22.64689948,\n",
-       "        -22.65341131, -22.60013328],\n",
-       "       [-22.65907563, -22.6540944 , -22.64765154, ..., -22.64871317,\n",
-       "        -22.65589489, -22.58618572],\n",
-       "       [-22.62125955, -22.61722092, -22.61134945, ..., -22.59586672,\n",
-       "        -22.60550775, -22.54308034]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>n</span></div><div class='xr-var-dims'>(trainId, sa3_pId)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.781e+05 7.225e+04 ... 2.486e+05</div><input id='attrs-c6c12d55-a435-4df0-8ad3-23ef3744e672' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c6c12d55-a435-4df0-8ad3-23ef3744e672' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a41b8d8d-7b79-4041-9a5a-1ac389ecdee7' class='xr-var-data-in' type='checkbox'><label for='data-a41b8d8d-7b79-4041-9a5a-1ac389ecdee7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[178118.40894944,  72252.07056782, 250646.03222019, ...,\n",
+       "       [51.33062959, 51.33020309, 51.32806178, ..., 51.33341167,\n",
+       "        51.33992349, 51.28664546],\n",
+       "       [51.34558782, 51.34060658, 51.33416372, ..., 51.33522536,\n",
+       "        51.34240707, 51.27269791],\n",
+       "       [51.30777174, 51.30373311, 51.29786163, ..., 51.28237891,\n",
+       "        51.29201993, 51.22959253]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>n</span></div><div class='xr-var-dims'>(trainId, sa3_pId)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.781e+05 7.225e+04 ... 2.486e+05</div><input id='attrs-c1bbad58-3708-4ee2-b93a-aae4bc58227b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c1bbad58-3708-4ee2-b93a-aae4bc58227b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6967f533-847e-4bc9-abbd-aa96e907a97b' class='xr-var-data-in' type='checkbox'><label for='data-6967f533-847e-4bc9-abbd-aa96e907a97b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[178118.40894944,  72252.07056782, 250646.03222019, ...,\n",
        "         24616.55351315, 131232.99260722,  70449.31172284],\n",
        "       [117048.66225181, 116453.34350092, 148136.78583358, ...,\n",
        "        295492.84995313,             nan, 280852.43621108],\n",
@@ -1117,20 +1117,20 @@
        "       [201086.38856229, 266286.79790054,             nan, ...,\n",
        "        158903.14152788, 263005.72804623, 273722.39925619],\n",
        "       [234804.48770294, 254350.7184164 , 322300.31577399, ...,\n",
-       "        245881.751503  ,  60492.74643918, 248587.84152461]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>n_area</span></div><div class='xr-var-dims'>(dim_0, trainId, sa3_pId)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>6.314e+03 6.314e+03 ... 6.314e+03</div><input id='attrs-9ec58d59-4e26-438c-a806-3d5ad1cc94d5' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9ec58d59-4e26-438c-a806-3d5ad1cc94d5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-47b81363-4da8-441a-a788-346b133bd784' class='xr-var-data-in' type='checkbox'><label for='data-47b81363-4da8-441a-a788-346b133bd784' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[6314., 6314., 6314., ..., 6314., 6314., 6314.],\n",
+       "        245881.751503  ,  60492.74643918, 248587.84152461]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>n_area</span></div><div class='xr-var-dims'>(dim_0, trainId, sa3_pId)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>6.314e+03 6.314e+03 ... 6.314e+03</div><input id='attrs-36965eed-c420-4188-8bc4-fe151693495b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-36965eed-c420-4188-8bc4-fe151693495b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c43914b0-eb4a-45cf-9631-d46f1d343dca' class='xr-var-data-in' type='checkbox'><label for='data-c43914b0-eb4a-45cf-9631-d46f1d343dca' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[6314., 6314., 6314., ..., 6314., 6314., 6314.],\n",
        "        [6314., 6314., 6314., ..., 6314.,   nan, 6314.],\n",
        "        [6314., 6314., 6314., ..., 6314., 6314.,   nan],\n",
        "        ...,\n",
        "        [6314., 6314., 6314., ..., 6314., 6314., 6314.],\n",
        "        [6314., 6314.,   nan, ..., 6314., 6314., 6314.],\n",
-       "        [6314., 6314., 6314., ..., 6314., 6314., 6314.]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>n_sat</span></div><div class='xr-var-dims'>(trainId, sa3_pId)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... nan 0.0 0.0 0.0</div><input id='attrs-27073a16-1478-47e1-8b26-0d47a031c6c3' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-27073a16-1478-47e1-8b26-0d47a031c6c3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8ef4eee8-3bb0-4c9c-8fe2-c2e8f792e5d3' class='xr-var-data-in' type='checkbox'><label for='data-8ef4eee8-3bb0-4c9c-8fe2-c2e8f792e5d3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "        [6314., 6314., 6314., ..., 6314., 6314., 6314.]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>n_sat</span></div><div class='xr-var-dims'>(trainId, sa3_pId)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... nan 0.0 0.0 0.0</div><input id='attrs-22205640-e8f7-4600-adcd-3358bba3a041' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-22205640-e8f7-4600-adcd-3358bba3a041' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2e16dbdb-d4fe-43b1-938b-fbe52e8dd76a' class='xr-var-data-in' type='checkbox'><label for='data-2e16dbdb-d4fe-43b1-938b-fbe52e8dd76a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
        "       [ 0.,  0.,  0., ...,  0., nan,  0.],\n",
        "       [ 0.,  0.,  0., ...,  0.,  0., nan],\n",
        "       ...,\n",
        "       [ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
        "       [ 0.,  0., nan, ...,  0.,  0.,  0.],\n",
-       "       [ 0.,  0.,  0., ...,  0.,  0.,  0.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nrj</span></div><div class='xr-var-dims'>(trainId)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>777.5 777.5 777.5 ... 777.5 777.5</div><input id='attrs-c77bb797-8a33-49f4-8097-a1a8eeaf3c2e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c77bb797-8a33-49f4-8097-a1a8eeaf3c2e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a9bb8660-4070-414b-bc53-f1bef2dcc6e8' class='xr-var-data-in' type='checkbox'><label for='data-a9bb8660-4070-414b-bc53-f1bef2dcc6e8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([777.53568622, 777.5084665 , 777.54475989, ..., 777.5084665 ,\n",
-       "       777.49939369, 777.5084665 ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>p</span></div><div class='xr-var-dims'>(trainId, sa3_pId)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.005e+05 8.077e+04 ... 2.764e+05</div><input id='attrs-8ab96cda-cc15-46d8-8033-c102e2ad92c2' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8ab96cda-cc15-46d8-8033-c102e2ad92c2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9df40d7a-922e-4cec-918f-07069dadaa0e' class='xr-var-data-in' type='checkbox'><label for='data-9df40d7a-922e-4cec-918f-07069dadaa0e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[200533.10655414,  80771.53758316, 280375.93871473, ...,\n",
+       "       [ 0.,  0.,  0., ...,  0.,  0.,  0.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nrj</span></div><div class='xr-var-dims'>(trainId)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>777.5 777.5 777.5 ... 777.5 777.5</div><input id='attrs-d9b7fc0d-ab1e-4223-8b7d-215a10ba91bf' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d9b7fc0d-ab1e-4223-8b7d-215a10ba91bf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-49154ff2-6ba1-4f6d-b74c-de7cfb18412e' class='xr-var-data-in' type='checkbox'><label for='data-49154ff2-6ba1-4f6d-b74c-de7cfb18412e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([777.53568622, 777.5084665 , 777.54475989, ..., 777.5084665 ,\n",
+       "       777.49939369, 777.5084665 ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>p</span></div><div class='xr-var-dims'>(trainId, sa3_pId)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.005e+05 8.077e+04 ... 2.764e+05</div><input id='attrs-a4f0cd0b-b6d0-47a3-ad5f-9a2438164ff7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a4f0cd0b-b6d0-47a3-ad5f-9a2438164ff7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-36cc34f2-c0c3-4f85-87c9-c2aa8a8dbaa6' class='xr-var-data-in' type='checkbox'><label for='data-36cc34f2-c0c3-4f85-87c9-c2aa8a8dbaa6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[200533.10655414,  80771.53758316, 280375.93871473, ...,\n",
        "         27768.44372068, 145838.67380114,  78357.452641  ],\n",
        "       [130187.67970119, 129737.23694618, 164732.09818882, ...,\n",
        "        327561.02889948,             nan, 311849.44461972],\n",
@@ -1142,19 +1142,19 @@
        "       [222145.18469876, 296756.85713576,             nan, ...,\n",
        "        175674.98084605, 291909.57393334, 304599.77525694],\n",
        "       [263369.11223412, 283128.54437693, 358930.990381  , ...,\n",
-       "        275035.5750391 ,  68789.13047689, 276391.5882273 ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>p_area</span></div><div class='xr-var-dims'>(dim_0, trainId, sa3_pId)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>6.396e+03 6.396e+03 ... 6.396e+03</div><input id='attrs-584bd467-2333-45cb-803c-a097f22335fd' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-584bd467-2333-45cb-803c-a097f22335fd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-16fd60ad-2a80-44be-a4f5-55f42ab04a34' class='xr-var-data-in' type='checkbox'><label for='data-16fd60ad-2a80-44be-a4f5-55f42ab04a34' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[6396., 6396., 6396., ..., 6396., 6396., 6396.],\n",
+       "        275035.5750391 ,  68789.13047689, 276391.5882273 ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>p_area</span></div><div class='xr-var-dims'>(dim_0, trainId, sa3_pId)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>6.396e+03 6.396e+03 ... 6.396e+03</div><input id='attrs-9a781d99-0718-44a8-a998-4eff86768267' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9a781d99-0718-44a8-a998-4eff86768267' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7f3b366b-e760-49b9-89e7-5449cd7999a1' class='xr-var-data-in' type='checkbox'><label for='data-7f3b366b-e760-49b9-89e7-5449cd7999a1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[6396., 6396., 6396., ..., 6396., 6396., 6396.],\n",
        "        [6396., 6396., 6396., ..., 6396.,   nan, 6396.],\n",
        "        [6396., 6396., 6396., ..., 6396., 6396.,   nan],\n",
        "        ...,\n",
        "        [6396., 6396., 6396., ..., 6396., 6396., 6396.],\n",
        "        [6396., 6396.,   nan, ..., 6396., 6396., 6396.],\n",
-       "        [6396., 6396., 6396., ..., 6396., 6396., 6396.]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>p_sat</span></div><div class='xr-var-dims'>(trainId, sa3_pId)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... nan 0.0 0.0 0.0</div><input id='attrs-84e5546b-c235-4e84-8191-5addd2b874cd' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-84e5546b-c235-4e84-8191-5addd2b874cd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4d9bfcb5-d76b-4301-b9d9-140b86ea6d8a' class='xr-var-data-in' type='checkbox'><label for='data-4d9bfcb5-d76b-4301-b9d9-140b86ea6d8a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "        [6396., 6396., 6396., ..., 6396., 6396., 6396.]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>p_sat</span></div><div class='xr-var-dims'>(trainId, sa3_pId)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... nan 0.0 0.0 0.0</div><input id='attrs-c9177944-1ddc-4897-bffa-c92273c36079' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c9177944-1ddc-4897-bffa-c92273c36079' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b969589d-b102-46ad-8155-25330cc17948' class='xr-var-data-in' type='checkbox'><label for='data-b969589d-b102-46ad-8155-25330cc17948' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
        "       [ 0.,  0.,  0., ...,  0., nan,  0.],\n",
        "       [ 0.,  0.,  0., ...,  0.,  0., nan],\n",
        "       ...,\n",
        "       [ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
        "       [ 0.,  0., nan, ...,  0.,  0.,  0.],\n",
-       "       [ 0.,  0.,  0., ...,  0.,  0.,  0.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sat</span></div><div class='xr-var-dims'>(trainId, sa3_pId)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>6.683e+05 2.911e+05 ... 9.526e+05</div><input id='attrs-468798e5-1a59-403b-bcb0-324e73cd8edc' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-468798e5-1a59-403b-bcb0-324e73cd8edc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9b9d680f-e025-4093-a2d9-23aa207907d4' class='xr-var-data-in' type='checkbox'><label for='data-9b9d680f-e025-4093-a2d9-23aa207907d4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 668336.12621134,  291147.5156115 , 1031467.7782629 , ...,\n",
+       "       [ 0.,  0.,  0., ...,  0.,  0.,  0.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sat</span></div><div class='xr-var-dims'>(trainId, sa3_pId)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>6.683e+05 2.911e+05 ... 9.526e+05</div><input id='attrs-c782135b-63ab-43d3-9c2b-59f455c20ca8' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c782135b-63ab-43d3-9c2b-59f455c20ca8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d33cf622-3847-404a-84e5-4f1a3a461f77' class='xr-var-data-in' type='checkbox'><label for='data-d33cf622-3847-404a-84e5-4f1a3a461f77' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 668336.12621134,  291147.5156115 , 1031467.7782629 , ...,\n",
        "          94409.53074486,  520873.75400582,  282059.51883769],\n",
        "       [ 472466.26058443,  446604.37714525,  587161.36797489, ...,\n",
        "        1166305.84041252,              nan, 1088635.57756074],\n",
@@ -1166,19 +1166,19 @@
        "       [ 787746.74282648, 1000144.90850493,              nan, ...,\n",
        "         613081.154502  ,  994348.00504197, 1077777.84301176],\n",
        "       [ 870620.83305617, 1003578.38107931, 1210465.733794  , ...,\n",
-       "         918189.04688581,  232259.17406303,  952552.53718519]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sat_area</span></div><div class='xr-var-dims'>(dim_0, trainId, sa3_pId)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.911e+04 1.911e+04 ... 1.911e+04</div><input id='attrs-1ba856a1-4578-4044-a480-aaa8ea653207' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-1ba856a1-4578-4044-a480-aaa8ea653207' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-00ea22a6-28ed-48dd-b0bc-c55a4e98de1f' class='xr-var-data-in' type='checkbox'><label for='data-00ea22a6-28ed-48dd-b0bc-c55a4e98de1f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[19106., 19106., 19106., ..., 19106., 19106., 19106.],\n",
+       "         918189.04688581,  232259.17406303,  952552.53718519]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sat_area</span></div><div class='xr-var-dims'>(dim_0, trainId, sa3_pId)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.911e+04 1.911e+04 ... 1.911e+04</div><input id='attrs-3378687c-77e0-4296-9cf8-afdec39e3653' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3378687c-77e0-4296-9cf8-afdec39e3653' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-84a5049d-8585-4709-9aa5-8d6f9eda1ffd' class='xr-var-data-in' type='checkbox'><label for='data-84a5049d-8585-4709-9aa5-8d6f9eda1ffd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[19106., 19106., 19106., ..., 19106., 19106., 19106.],\n",
        "        [19106., 19106., 19106., ..., 19106.,    nan, 19106.],\n",
        "        [19106., 19106., 19106., ..., 19106., 19106.,    nan],\n",
        "        ...,\n",
        "        [19106., 19106., 19106., ..., 19106., 19106., 19106.],\n",
        "        [19106., 19106.,    nan, ..., 19106., 19106., 19106.],\n",
-       "        [19106., 19106., 19106., ..., 19106., 19106., 19106.]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sat_sat</span></div><div class='xr-var-dims'>(trainId, sa3_pId)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... nan 0.0 0.0 0.0</div><input id='attrs-b211ccca-d61c-4ca8-bf95-417626684fd4' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b211ccca-d61c-4ca8-bf95-417626684fd4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c7a38b5a-bd0f-426a-9508-aa1d8fc04668' class='xr-var-data-in' type='checkbox'><label for='data-c7a38b5a-bd0f-426a-9508-aa1d8fc04668' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "        [19106., 19106., 19106., ..., 19106., 19106., 19106.]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sat_sat</span></div><div class='xr-var-dims'>(trainId, sa3_pId)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... nan 0.0 0.0 0.0</div><input id='attrs-79e2bb79-45d8-4cd1-83a8-bcf8a662d8d5' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-79e2bb79-45d8-4cd1-83a8-bcf8a662d8d5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5d48a074-8c9b-4be8-a915-2785aa51ba9f' class='xr-var-data-in' type='checkbox'><label for='data-5d48a074-8c9b-4be8-a915-2785aa51ba9f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
        "       [ 0.,  0.,  0., ...,  0., nan,  0.],\n",
        "       [ 0.,  0.,  0., ...,  0.,  0., nan],\n",
        "       ...,\n",
        "       [ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
        "       [ 0.,  0., nan, ...,  0.,  0.,  0.],\n",
-       "       [ 0.,  0.,  0., ...,  0.,  0.,  0.]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0c6ad33a-a1e5-4c6c-be13-3d66c022db5f' class='xr-section-summary-in' type='checkbox'  checked><label for='section-0c6ad33a-a1e5-4c6c-be13-3d66c022db5f' class='xr-section-summary' >Attributes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>runFolder :</span></dt><dd>/gpfs/exfel/exp/SCS/202122/p002937/raw/r0688</dd><dt><span>saturation (%) :</span></dt><dd>6.896367959334262</dd></dl></div></li></ul></div></div>"
+       "       [ 0.,  0.,  0., ...,  0.,  0.,  0.]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-1c10bbab-303f-4a0c-8821-a12f4946067f' class='xr-section-summary-in' type='checkbox'  checked><label for='section-1c10bbab-303f-4a0c-8821-a12f4946067f' class='xr-section-summary' >Attributes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>runFolder :</span></dt><dd>/gpfs/exfel/exp/SCS/202122/p002937/raw/r0688</dd><dt><span>saturation (%) :</span></dt><dd>6.896367959334262</dd></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.Dataset>\n",
@@ -1254,8 +1254,8 @@
        "    b9_area            (dim_0, trainId, sa3_pId) float64 1.472e+03 ... 1.472e+03\n",
        "    b9_sat             (trainId, sa3_pId) float64 0.0 0.0 0.0 ... 0.0 0.0 0.0\n",
        "    bunchPatternTable  (trainId, pulse_slot) uint32 2113321 0 2097193 ... 0 0 0\n",
-       "    delay_mm           (trainId, sa3_pId) float64 -3.223 -3.222 ... -3.381\n",
-       "    delay_ps           (trainId, sa3_pId) float64 -21.48 -21.48 ... -22.54\n",
+       "    delay_mm           (trainId, sa3_pId) float64 7.526 7.525 ... 7.694 7.684\n",
+       "    delay_ps           (trainId, sa3_pId) float64 50.17 50.17 ... 51.29 51.23\n",
        "    n                  (trainId, sa3_pId) float64 1.781e+05 ... 2.486e+05\n",
        "    n_area             (dim_0, trainId, sa3_pId) float64 6.314e+03 ... 6.314e+03\n",
        "    n_sat              (trainId, sa3_pId) float64 0.0 0.0 0.0 ... 0.0 0.0 0.0\n",
@@ -1286,16 +1286,23 @@
   {
    "cell_type": "code",
    "execution_count": 8,
-   "metadata": {
-    "scrolled": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "if xaxis == 'delay_mm':\n",
     "    bin_width = 0.05*0.15 #0.15mm is 1ps\n",
     "else:\n",
-    "    bin_width = 0.1\n",
-    "\n",
+    "    bin_width = 0.1"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {
+    "scrolled": false
+   },
+   "outputs": [],
+   "source": [
     "dXAS = tb.xas(ds, bin_width, Iokey = 'p', Itkey = 'n', nrjkey = xaxis, plot=False)\n",
     "XASp = tb.xas(ds, bin_width, Iokey = '0', Itkey = 'p', nrjkey = xaxis, plot=False)\n",
     "XASn = tb.xas(ds, bin_width, Iokey = '0', Itkey = 'n', nrjkey = xaxis, plot=False)"
@@ -1303,23 +1310,23 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [],
    "source": [
     "ph = ds['nrj'].mean().values\n",
-    "t0 = -3.27 #mm\n",
-    "t = -t0/.15 + ds['delay_ps'].mean().values"
+    "t0 = 7.57 #mm\n",
+    "t = -(ds['delay_ps'].mean().values - t0/.15)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -1341,8 +1348,9 @@
     "    ax.set_xlabel('delay (mm)')\n",
     "    ax.axvline(t0, c='k', alpha=0.5, ls='--')\n",
     "    ax.text(0.02, 0.85, f'E = {ph:.1f} eV', transform=ax.transAxes)\n",
-    "    secax = ax.secondary_xaxis('top', functions=(lambda x: (x - t0)/0.15,  lambda x: x*0.15 + t0))\n",
+    "    secax = ax.secondary_xaxis('top', functions=(lambda x: -(x - t0)/0.15,  lambda x: -x*0.15 + t0))\n",
     "    secax.set_xlabel('delay (ps)')\n",
+    "    ax.set_xlim([np.nanmax(dXAS['nrj']), np.nanmin(dXAS['nrj'])])\n",
     "if xaxis == 'nrj':\n",
     "    ax.set_xlabel('Energy (eV)')\n",
     "    ax.text(0.02, 0.85, f't = {t:.1f} ps', transform=ax.transAxes)\n",
@@ -1362,7 +1370,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 12,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1379,7 +1387,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 13,
    "metadata": {},
    "outputs": [
     {
@@ -1738,450 +1746,447 @@
        "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
        "Dimensions:      (delay_mm: 135)\n",
        "Coordinates:\n",
-       "  * delay_mm     (delay_mm) float64 -3.415 -3.408 -3.4 ... -2.425 -2.418 -2.41\n",
+       "  * delay_mm     (delay_mm) float64 6.712 6.719 6.727 ... 7.702 7.709 7.717\n",
        "Data variables:\n",
-       "    dXAS_muA     (delay_mm) float64 0.1055 0.1055 0.1062 ... 0.1096 0.1091 0.108\n",
-       "    dXAS_sterrA  (delay_mm) float64 0.0002289 0.0001111 ... 0.0005408 0.001243\n",
-       "    dXAS_sigmaA  (delay_mm) float64 0.005411 0.005504 ... 0.005131 0.004483\n",
-       "    dXAS_muIo    (delay_mm) float64 2.348e+05 2.385e+05 ... 2.462e+05 2.524e+05\n",
-       "    dXAS_counts  (delay_mm) int64 559 2454 3942 3570 2943 ... 237 516 363 90 13\n",
-       "    XASp_muA     (delay_mm) float64 0.4614 0.467 0.4642 ... 0.4735 0.4628 0.4603\n",
-       "    XASp_sterrA  (delay_mm) float64 0.002794 0.001362 ... 0.006087 0.0222\n",
-       "    XASp_sigmaA  (delay_mm) float64 0.06607 0.06746 0.06645 ... 0.05775 0.08006\n",
-       "    XASp_muIo    (delay_mm) float64 3.725e+05 3.805e+05 ... 3.911e+05 4e+05\n",
-       "    XASp_counts  (delay_mm) int64 559 2454 3942 3570 2943 ... 237 516 363 90 13\n",
-       "    XASn_muA     (delay_mm) float64 0.5668 0.5725 0.5704 ... 0.5719 0.5683\n",
-       "    XASn_sterrA  (delay_mm) float64 0.002671 0.001301 ... 0.005796 0.02121\n",
-       "    XASn_sigmaA  (delay_mm) float64 0.06316 0.06446 0.06346 ... 0.05499 0.07647\n",
-       "    XASn_muIo    (delay_mm) float64 3.725e+05 3.805e+05 ... 3.911e+05 4e+05\n",
-       "    XASn_counts  (delay_mm) int64 559 2454 3942 3570 2943 ... 237 516 363 90 13\n",
+       "    dXAS_muA     (delay_mm) float64 0.1079 0.1089 0.1093 ... 0.1056 0.1056\n",
+       "    dXAS_sterrA  (delay_mm) float64 0.001399 0.0005816 ... 0.0001039 0.0001789\n",
+       "    dXAS_sigmaA  (delay_mm) float64 0.003958 0.005202 ... 0.005568 0.005262\n",
+       "    dXAS_muIo    (delay_mm) float64 2.46e+05 2.531e+05 ... 2.384e+05 2.355e+05\n",
+       "    dXAS_counts  (delay_mm) int64 8 80 283 543 247 ... 3069 3387 3969 2872 865\n",
+       "    XASp_muA     (delay_mm) float64 0.4743 0.458 0.4746 ... 0.4642 0.4681 0.4612\n",
+       "    XASp_sterrA  (delay_mm) float64 0.02287 0.007049 ... 0.001269 0.002192\n",
+       "    XASp_sigmaA  (delay_mm) float64 0.06468 0.06305 0.06243 ... 0.06798 0.06447\n",
+       "    XASp_muIo    (delay_mm) float64 3.952e+05 4.001e+05 ... 3.807e+05 3.735e+05\n",
+       "    XASp_counts  (delay_mm) int64 8 80 283 543 247 ... 3069 3387 3969 2872 865\n",
+       "    XASn_muA     (delay_mm) float64 0.5822 0.5669 0.5839 ... 0.5736 0.5668\n",
+       "    XASn_sterrA  (delay_mm) float64 0.02177 0.006726 ... 0.001212 0.002094\n",
+       "    XASn_sigmaA  (delay_mm) float64 0.06158 0.06016 0.05893 ... 0.06497 0.06159\n",
+       "    XASn_muIo    (delay_mm) float64 3.952e+05 4.001e+05 ... 3.807e+05 3.735e+05\n",
+       "    XASn_counts  (delay_mm) int64 8 80 283 543 247 ... 3069 3387 3969 2872 865\n",
        "Attributes:\n",
-       "    runs:     688,690</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-f333546d-bb93-4fed-8db6-30398b8ac464' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-f333546d-bb93-4fed-8db6-30398b8ac464' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>delay_mm</span>: 135</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-8866eaaf-88b2-4241-970b-3f7463b651a0' class='xr-section-summary-in' type='checkbox'  checked><label for='section-8866eaaf-88b2-4241-970b-3f7463b651a0' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>delay_mm</span></div><div class='xr-var-dims'>(delay_mm)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-3.415 -3.408 -3.4 ... -2.418 -2.41</div><input id='attrs-91332a9c-be6a-4913-baf0-4df7881fb3f6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-91332a9c-be6a-4913-baf0-4df7881fb3f6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e4c43886-f7f2-42c2-ae18-e378985eafd3' class='xr-var-data-in' type='checkbox'><label for='data-e4c43886-f7f2-42c2-ae18-e378985eafd3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm</dd></dl></div><div class='xr-var-data'><pre>array([-3.415374, -3.407874, -3.400374, -3.392874, -3.385374, -3.377874,\n",
-       "       -3.370374, -3.362874, -3.355374, -3.347874, -3.340374, -3.332874,\n",
-       "       -3.325374, -3.317874, -3.310374, -3.302874, -3.295374, -3.287874,\n",
-       "       -3.280374, -3.272874, -3.265374, -3.257874, -3.250374, -3.242874,\n",
-       "       -3.235374, -3.227874, -3.220374, -3.212874, -3.205374, -3.197874,\n",
-       "       -3.190374, -3.182874, -3.175374, -3.167874, -3.160374, -3.152874,\n",
-       "       -3.145374, -3.137874, -3.130374, -3.122874, -3.115374, -3.107874,\n",
-       "       -3.100374, -3.092874, -3.085374, -3.077874, -3.070374, -3.062874,\n",
-       "       -3.055374, -3.047874, -3.040374, -3.032874, -3.025374, -3.017874,\n",
-       "       -3.010374, -3.002874, -2.995374, -2.987874, -2.980374, -2.972874,\n",
-       "       -2.965374, -2.957874, -2.950374, -2.942874, -2.935374, -2.927874,\n",
-       "       -2.920374, -2.912874, -2.905374, -2.897874, -2.890374, -2.882874,\n",
-       "       -2.875374, -2.867874, -2.860374, -2.852874, -2.845374, -2.837874,\n",
-       "       -2.830374, -2.822874, -2.815374, -2.807874, -2.800374, -2.792874,\n",
-       "       -2.785374, -2.777874, -2.770374, -2.762874, -2.755374, -2.747874,\n",
-       "       -2.740374, -2.732874, -2.725374, -2.717874, -2.710374, -2.702874,\n",
-       "       -2.695374, -2.687874, -2.680374, -2.672874, -2.665374, -2.657874,\n",
-       "       -2.650374, -2.642874, -2.635374, -2.627874, -2.620374, -2.612874,\n",
-       "       -2.605374, -2.597874, -2.590374, -2.582874, -2.575374, -2.567874,\n",
-       "       -2.560374, -2.552874, -2.545374, -2.537874, -2.530374, -2.522874,\n",
-       "       -2.515374, -2.507874, -2.500374, -2.492874, -2.485374, -2.477874,\n",
-       "       -2.470374, -2.462874, -2.455374, -2.447874, -2.440374, -2.432874,\n",
-       "       -2.425374, -2.417874, -2.410374])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3563607c-89af-4ae3-abaa-1639d4608e70' class='xr-section-summary-in' type='checkbox'  ><label for='section-3563607c-89af-4ae3-abaa-1639d4608e70' class='xr-section-summary' >Data variables: <span>(15)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>dXAS_muA</span></div><div class='xr-var-dims'>(delay_mm)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.1055 0.1055 ... 0.1091 0.108</div><input id='attrs-6174afbd-a005-4347-945b-d677a762bb74' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6174afbd-a005-4347-945b-d677a762bb74' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fe7b4110-e6e6-46a6-a212-22d97df7e68e' class='xr-var-data-in' type='checkbox'><label for='data-fe7b4110-e6e6-46a6-a212-22d97df7e68e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0.10546732, 0.10552303, 0.10617447, 0.10600532, 0.10640323,\n",
-       "       0.10602564, 0.106808  , 0.10664181, 0.1064312 , 0.10612135,\n",
-       "       0.10647084, 0.10673902, 0.10650077, 0.10604531, 0.10580004,\n",
-       "       0.10639675, 0.1067619 , 0.10643941, 0.10652325, 0.10665483,\n",
-       "       0.10691802, 0.10743176, 0.1089155 , 0.11003701, 0.11089903,\n",
-       "       0.11069093, 0.11001151, 0.10955776, 0.10921281, 0.10829719,\n",
-       "       0.10785245, 0.10743374, 0.1069549 , 0.10688218, 0.1072246 ,\n",
-       "       0.10669687, 0.10662457, 0.10699049, 0.1073512 , 0.10669328,\n",
-       "       0.10704186, 0.10744386, 0.10752   , 0.10723094, 0.10742213,\n",
-       "       0.10704043, 0.10721562, 0.10766977, 0.10731884, 0.10733801,\n",
-       "       0.10724212, 0.10712561, 0.10728241, 0.10762741, 0.10794618,\n",
-       "       0.10754987, 0.10766147, 0.10779429, 0.10751491, 0.10732526,\n",
-       "       0.10730875, 0.10745075, 0.10777035, 0.10764172, 0.10743859,\n",
-       "       0.10778288, 0.1075046 , 0.1073925 , 0.10752298, 0.1079185 ,\n",
-       "       0.10812271, 0.10780991, 0.10764117, 0.10770841, 0.10753432,\n",
-       "       0.10811699, 0.10790378, 0.10826539, 0.10823788, 0.10800494,\n",
-       "       0.10789437, 0.10833057, 0.10886265, 0.10878081, 0.10850667,\n",
-       "       0.10854697, 0.10832755, 0.10782869, 0.10795307, 0.10799443,\n",
-       "       0.10825666, 0.10855686, 0.1088991 , 0.10869047, 0.10832529,\n",
-       "       0.10813816, 0.1081607 , 0.10781874, 0.10904976, 0.10961221,\n",
-       "       0.10872671, 0.10965958, 0.10918467, 0.10864035, 0.10921579,\n",
-       "       0.10826525, 0.10886776, 0.10856281, 0.10892555, 0.10866313,\n",
-       "       0.10835943, 0.10816831, 0.10925528, 0.1099424 , 0.10980298,\n",
-       "       0.11034481, 0.10997129, 0.11017629, 0.11026839, 0.11090986,\n",
-       "       0.10887866, 0.10959619, 0.10813814, 0.10975029, 0.1086628 ,\n",
-       "       0.10891776, 0.10910872, 0.10932301, 0.10915777, 0.1086563 ,\n",
-       "       0.10903495, 0.1098304 , 0.10957646, 0.10908642, 0.10799202])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>dXAS_sterrA</span></div><div class='xr-var-dims'>(delay_mm)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0002289 0.0001111 ... 0.001243</div><input id='attrs-7334dbeb-e7f4-4bd5-ad6a-836fb1c4d6c1' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7334dbeb-e7f4-4bd5-ad6a-836fb1c4d6c1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5b4db5ef-1bb2-4bf8-b7a7-80292ce72d3f' class='xr-var-data-in' type='checkbox'><label for='data-5b4db5ef-1bb2-4bf8-b7a7-80292ce72d3f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([2.28867143e-04, 1.11112350e-04, 8.85161961e-05, 9.57937894e-05,\n",
-       "       1.02029457e-04, 9.75914927e-05, 9.90227936e-05, 1.03391776e-04,\n",
-       "       1.07202797e-04, 1.01785071e-04, 9.34350123e-05, 8.84739137e-05,\n",
-       "       8.87280452e-05, 8.93856734e-05, 9.33430651e-05, 9.28877741e-05,\n",
-       "       8.63472281e-05, 8.78366898e-05, 8.74442784e-05, 9.20370987e-05,\n",
-       "       9.46007400e-05, 9.13340763e-05, 8.76675984e-05, 9.32123239e-05,\n",
-       "       9.62307143e-05, 9.48807043e-05, 9.36370952e-05, 8.73498515e-05,\n",
-       "       8.45394572e-05, 8.50620893e-05, 8.48002838e-05, 8.44771620e-05,\n",
-       "       8.65745065e-05, 8.21833888e-05, 8.26300245e-05, 7.31873049e-05,\n",
-       "       6.99451260e-05, 7.32947333e-05, 7.30914117e-05, 7.22321889e-05,\n",
-       "       7.66883474e-05, 7.80900413e-05, 7.69735131e-05, 7.53202587e-05,\n",
-       "       7.38369121e-05, 7.32538479e-05, 7.61276670e-05, 7.68820289e-05,\n",
-       "       7.64267953e-05, 7.45245373e-05, 7.28659668e-05, 7.11510711e-05,\n",
-       "       6.95834413e-05, 7.51198961e-05, 7.57361269e-05, 7.62498477e-05,\n",
-       "       7.35340360e-05, 7.78444793e-05, 7.91071804e-05, 7.81248332e-05,\n",
-       "       8.07402615e-05, 7.85061581e-05, 7.06933369e-05, 7.15431166e-05,\n",
-       "       7.61429530e-05, 7.72649812e-05, 7.74880947e-05, 7.27457803e-05,\n",
-       "       7.44866693e-05, 7.14033664e-05, 7.40087053e-05, 7.75390635e-05,\n",
-       "       7.37693103e-05, 7.37638142e-05, 7.70675662e-05, 7.57070621e-05,\n",
-       "       7.49784308e-05, 7.41955707e-05, 7.57873582e-05, 7.46593032e-05,\n",
-       "       7.49430051e-05, 7.54167262e-05, 7.34499297e-05, 7.22769701e-05,\n",
-       "       8.21666975e-05, 7.13922069e-05, 7.10284902e-05, 7.87980022e-05,\n",
-       "       7.63478374e-05, 7.81238057e-05, 7.79192049e-05, 7.40630124e-05,\n",
-       "       7.62308711e-05, 7.53479866e-05, 7.65423876e-05, 9.38134310e-05,\n",
-       "       1.40814366e-04, 2.68961050e-04, 3.54003100e-04, 2.56951154e-04,\n",
-       "       3.67785928e-04, 3.15931573e-04, 3.46206065e-04, 4.78477779e-04,\n",
-       "       2.69491318e-04, 3.38458644e-04, 4.52423836e-04, 2.49899979e-04,\n",
-       "       4.28814629e-04, 3.56288372e-04, 2.72382937e-04, 4.29904810e-04,\n",
-       "       2.83045780e-04, 3.32286728e-04, 5.96141492e-04, 2.76914576e-04,\n",
-       "       3.10245575e-04, 4.41580626e-04, 2.67647619e-04, 4.23711796e-04,\n",
-       "       4.62157573e-04, 2.75337042e-04, 3.70224782e-04, 3.32516524e-04,\n",
-       "       2.76450679e-04, 4.35862901e-04, 3.30418917e-04, 2.98272943e-04,\n",
-       "       3.79900105e-04, 2.42360255e-04, 3.62555619e-04, 2.62747076e-04,\n",
-       "       3.24576439e-04, 5.40835846e-04, 1.24327858e-03])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>dXAS_sigmaA</span></div><div class='xr-var-dims'>(delay_mm)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.005411 0.005504 ... 0.004483</div><input id='attrs-84e4170a-7a3a-4a25-bc0e-0f156d2ce5d1' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-84e4170a-7a3a-4a25-bc0e-0f156d2ce5d1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c240ad77-5978-4952-8e3c-e4dff21bb465' class='xr-var-data-in' type='checkbox'><label for='data-c240ad77-5978-4952-8e3c-e4dff21bb465' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0.00541115, 0.00550427, 0.00555752, 0.00572363, 0.00553504,\n",
-       "       0.00563923, 0.00572451, 0.00572495, 0.00584427, 0.00561758,\n",
-       "       0.00564876, 0.00565541, 0.00559339, 0.00574159, 0.00575481,\n",
-       "       0.00573878, 0.00552352, 0.00550015, 0.00561825, 0.00573739,\n",
-       "       0.00585073, 0.00587882, 0.00601274, 0.00616682, 0.00638395,\n",
-       "       0.00630796, 0.00653517, 0.00615677, 0.00607979, 0.00597678,\n",
-       "       0.00600168, 0.00592245, 0.00589406, 0.00590349, 0.00595796,\n",
-       "       0.00583069, 0.00583445, 0.00586358, 0.00586556, 0.0057546 ,\n",
-       "       0.00594817, 0.0059661 , 0.00583934, 0.00587208, 0.00586713,\n",
-       "       0.00577266, 0.00587566, 0.00576718, 0.005822  , 0.0057837 ,\n",
-       "       0.00576148, 0.00571826, 0.005762  , 0.00589536, 0.00586503,\n",
-       "       0.00582201, 0.00575307, 0.00579772, 0.00571929, 0.00574523,\n",
-       "       0.00581049, 0.00580202, 0.00589982, 0.00581175, 0.00607142,\n",
-       "       0.00620818, 0.00576441, 0.00573032, 0.00568202, 0.00572831,\n",
-       "       0.00580579, 0.00578329, 0.00581328, 0.00580864, 0.00582765,\n",
-       "       0.00585593, 0.00585936, 0.00575243, 0.00590753, 0.00587251,\n",
-       "       0.00581907, 0.00592489, 0.00566946, 0.0057409 , 0.00589371,\n",
-       "       0.00570468, 0.005759  , 0.00590512, 0.00591979, 0.00586241,\n",
-       "       0.00572322, 0.00573833, 0.00570969, 0.00566214, 0.00582929,\n",
-       "       0.00585564, 0.0059493 , 0.00569283, 0.00529823, 0.00564708,\n",
-       "       0.00466668, 0.00580833, 0.00616402, 0.00501832, 0.00550976,\n",
-       "       0.00534079, 0.0054102 , 0.00537721, 0.00586395, 0.0055768 ,\n",
-       "       0.00572004, 0.00565451, 0.00535548, 0.00604543, 0.00596141,\n",
-       "       0.00571545, 0.0051914 , 0.00493702, 0.00553066, 0.00602208,\n",
-       "       0.00600805, 0.00565615, 0.00522266, 0.00602213, 0.00563851,\n",
-       "       0.00533821, 0.00613726, 0.00575288, 0.00559628, 0.00540849,\n",
-       "       0.00558147, 0.00596847, 0.00618401, 0.00513082, 0.0044827 ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>dXAS_muIo</span></div><div class='xr-var-dims'>(delay_mm)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.348e+05 2.385e+05 ... 2.524e+05</div><input id='attrs-78684c56-5b9a-4043-9965-766aa7ffb001' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-78684c56-5b9a-4043-9965-766aa7ffb001' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-318c79b3-ef4c-4339-adfa-aa722b0df86e' class='xr-var-data-in' type='checkbox'><label for='data-318c79b3-ef4c-4339-adfa-aa722b0df86e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([234823.51734565, 238508.8137852 , 237538.36284146, 239055.88761212,\n",
-       "       237339.94724512, 239779.00072785, 242305.58029697, 239603.40025205,\n",
-       "       235427.79551837, 238629.06427805, 234301.58972519, 233626.62459111,\n",
-       "       234501.40808945, 235784.99663532, 236607.31468647, 234706.45405729,\n",
-       "       235078.5689093 , 238837.99074071, 237010.28214364, 234773.56792456,\n",
-       "       236168.83508248, 237503.12740901, 232620.33615938, 233910.53275526,\n",
-       "       235038.48616618, 237278.31843366, 238608.67625323, 238797.41212378,\n",
-       "       235354.11585187, 235247.7755085 , 236349.01358491, 234531.76581133,\n",
-       "       235638.84351871, 236831.185728  , 235462.19859194, 235629.13223257,\n",
-       "       236630.56564205, 234625.27473469, 233383.33208842, 231795.99807018,\n",
-       "       236235.41067178, 234051.71702004, 236691.4288126 , 235163.87500518,\n",
-       "       235964.5790227 , 236189.78979891, 232426.54157982, 234222.77793351,\n",
-       "       234979.71342694, 234697.0477287 , 233551.54676856, 236225.39775908,\n",
-       "       234160.06034935, 231840.39681105, 234254.63250257, 234545.99036896,\n",
-       "       235583.35997518, 237345.10168358, 231298.23353814, 235922.87360953,\n",
-       "       235594.52900064, 235952.13511183, 232496.76482065, 236405.69496486,\n",
-       "       233072.84415379, 234687.78912443, 234103.20242469, 235117.90497618,\n",
-       "       234587.04325542, 233759.11286798, 235901.79789279, 231864.59136695,\n",
-       "       232040.37014115, 234871.2348839 , 231829.39763623, 233568.95358599,\n",
-       "       233164.68070344, 233161.29941872, 236912.16507621, 236877.85179319,\n",
-       "       238743.88306611, 235523.12308814, 234652.42412262, 236884.20595055,\n",
-       "       233645.00907588, 237065.10832673, 236141.32520413, 234419.76567994,\n",
-       "       236729.82283252, 234814.39289321, 235200.8148263 , 235734.07854451,\n",
-       "       234929.71452718, 236636.15289482, 234644.44842005, 234935.89580943,\n",
-       "       231733.68304042, 228788.39409001, 228831.13047621, 234806.80525401,\n",
-       "       237731.7907165 , 246474.76792879, 232791.82170348, 231158.85725476,\n",
-       "       224595.52170387, 234266.8095892 , 222139.70147299, 235336.17152836,\n",
-       "       229657.32680652, 236639.88141383, 231924.19096714, 246856.08070328,\n",
-       "       220338.96409513, 236796.16931096, 236903.70441076, 231837.90496843,\n",
-       "       237428.64873645, 246686.64282995, 232439.56387352, 223935.86690635,\n",
-       "       235525.29991778, 239660.74206749, 245358.980945  , 227156.60856338,\n",
-       "       228327.64346994, 241408.80426998, 237969.35061073, 235196.18952909,\n",
-       "       241513.45367624, 236971.47783009, 242838.36652419, 227646.52625877,\n",
-       "       234631.53327527, 246182.98081637, 252424.38097359])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>dXAS_counts</span></div><div class='xr-var-dims'>(delay_mm)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>559 2454 3942 3570 ... 363 90 13</div><input id='attrs-1003d43b-b704-4624-bf9c-62d13bee9a34' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-1003d43b-b704-4624-bf9c-62d13bee9a34' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-61638970-f5d9-4c86-a5c8-0b5e01915885' class='xr-var-data-in' type='checkbox'><label for='data-61638970-f5d9-4c86-a5c8-0b5e01915885' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 559, 2454, 3942, 3570, 2943, 3339, 3342, 3066, 2972, 3046, 3655,\n",
-       "       4086, 3974, 4126, 3801, 3817, 4092, 3921, 4128, 3886, 3825, 4143,\n",
-       "       4704, 4377, 4401, 4420, 4871, 4968, 5172, 4937, 5009, 4915, 4635,\n",
-       "       5160, 5199, 6347, 6958, 6400, 6440, 6347, 6016, 5837, 5755, 6078,\n",
-       "       6314, 6210, 5957, 5627, 5803, 6023, 6252, 6459, 6857, 6159, 5997,\n",
-       "       5830, 6121, 5547, 5227, 5408, 5179, 5462, 6965, 6599, 6358, 6456,\n",
-       "       5534, 6205, 5819, 6436, 6154, 5563, 6210, 6201, 5718, 5983, 6107,\n",
-       "       6011, 6076, 6187, 6029, 6172, 5958, 6309, 5145, 6385, 6574, 5616,\n",
-       "       6012, 5631, 5395, 6003, 5610, 5647, 5800, 3896, 1785,  448,  224,\n",
-       "        483,  161,  338,  317,  110,  418,  249,  143,  463,  187,  245,\n",
-       "        441,  173,  358,  331,  100,  426,  280,  125,  427,  202,  169,\n",
-       "        422,  199,  328,  416,  150,  345,  372,  217,  498,  237,  516,\n",
-       "        363,   90,   13])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>XASp_muA</span></div><div class='xr-var-dims'>(delay_mm)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.4614 0.467 ... 0.4628 0.4603</div><input id='attrs-d3cc21e2-5b1b-425d-8d68-c9c978168994' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d3cc21e2-5b1b-425d-8d68-c9c978168994' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-24bd5aea-4cd2-498c-aa3f-ca3ba3900c97' class='xr-var-data-in' type='checkbox'><label for='data-24bd5aea-4cd2-498c-aa3f-ca3ba3900c97' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0.46135296, 0.46699657, 0.46418738, 0.46677651, 0.46410812,\n",
-       "       0.46678384, 0.46459404, 0.46660417, 0.46879196, 0.46383349,\n",
-       "       0.46569179, 0.46673697, 0.468215  , 0.46656534, 0.4706566 ,\n",
-       "       0.4688784 , 0.46478372, 0.46843435, 0.46604697, 0.46544178,\n",
-       "       0.46660983, 0.46932044, 0.46783775, 0.46834446, 0.46643635,\n",
-       "       0.46748445, 0.46809417, 0.46789681, 0.46729376, 0.47036106,\n",
-       "       0.47032938, 0.47144852, 0.47156923, 0.47053993, 0.46625474,\n",
-       "       0.47236009, 0.47386758, 0.4739898 , 0.47282673, 0.47464627,\n",
-       "       0.47242056, 0.47375843, 0.474259  , 0.47305196, 0.47664776,\n",
-       "       0.47513544, 0.47521536, 0.47335255, 0.47224976, 0.4754005 ,\n",
-       "       0.47488987, 0.47259288, 0.47300294, 0.47321287, 0.47333224,\n",
-       "       0.47404966, 0.47310617, 0.4735856 , 0.47504788, 0.4729041 ,\n",
-       "       0.47279217, 0.47157863, 0.47264053, 0.47232559, 0.47246823,\n",
-       "       0.4718682 , 0.47332248, 0.47416658, 0.47304135, 0.47279425,\n",
-       "       0.4737194 , 0.47354702, 0.47251796, 0.47156271, 0.473046  ,\n",
-       "       0.47463271, 0.47450722, 0.47304744, 0.47166995, 0.46954493,\n",
-       "       0.46741759, 0.46820233, 0.46869439, 0.47163798, 0.47191867,\n",
-       "       0.47037534, 0.46794787, 0.46934797, 0.47081116, 0.47249235,\n",
-       "       0.46932862, 0.47179014, 0.47032199, 0.47029302, 0.47153245,\n",
-       "       0.46785217, 0.47052277, 0.47470736, 0.4820963 , 0.47902613,\n",
-       "       0.48010823, 0.46994132, 0.46921364, 0.4852235 , 0.48350308,\n",
-       "       0.48100643, 0.48880731, 0.48375203, 0.48400436, 0.47839339,\n",
-       "       0.48294094, 0.48845083, 0.47817324, 0.47081493, 0.48467085,\n",
-       "       0.48097438, 0.48323164, 0.47951622, 0.47655105, 0.47732171,\n",
-       "       0.48621809, 0.47983387, 0.47513237, 0.47575838, 0.48071248,\n",
-       "       0.48045411, 0.48173152, 0.47681651, 0.48180466, 0.48547897,\n",
-       "       0.48656903, 0.47956554, 0.47351869, 0.46280911, 0.46032994])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>XASp_sterrA</span></div><div class='xr-var-dims'>(delay_mm)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.002794 0.001362 ... 0.0222</div><input id='attrs-7a91ffc3-bd2f-406c-a91d-dc454e3b2f8e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7a91ffc3-bd2f-406c-a91d-dc454e3b2f8e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b0f1ea22-42a9-4935-b907-dad21489d7d1' class='xr-var-data-in' type='checkbox'><label for='data-b0f1ea22-42a9-4935-b907-dad21489d7d1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0.00279433, 0.00136171, 0.00105829, 0.00111742, 0.00120671,\n",
-       "       0.00111193, 0.00111676, 0.00120756, 0.00122829, 0.0012148 ,\n",
-       "       0.00109521, 0.00104937, 0.00105154, 0.00105003, 0.00108079,\n",
-       "       0.00109955, 0.0010431 , 0.00106111, 0.00104369, 0.00109827,\n",
-       "       0.00107834, 0.00103173, 0.00097676, 0.00100489, 0.00100822,\n",
-       "       0.00098111, 0.00097441, 0.00092913, 0.00094598, 0.00095945,\n",
-       "       0.00095525, 0.00095857, 0.00098045, 0.0009184 , 0.00091079,\n",
-       "       0.00085034, 0.00080704, 0.00084862, 0.0008449 , 0.00085123,\n",
-       "       0.00086355, 0.00089208, 0.00089891, 0.00085858, 0.00084081,\n",
-       "       0.00085583, 0.00088418, 0.00090451, 0.0008964 , 0.00087715,\n",
-       "       0.00085561, 0.00083901, 0.00080697, 0.00085408, 0.0008635 ,\n",
-       "       0.00088828, 0.00086257, 0.00090429, 0.00092664, 0.00089301,\n",
-       "       0.00094949, 0.00089516, 0.00082366, 0.00084078, 0.00084658,\n",
-       "       0.00084754, 0.00091712, 0.00087281, 0.0008954 , 0.00084386,\n",
-       "       0.00086217, 0.00090148, 0.0008659 , 0.00085871, 0.00088952,\n",
-       "       0.00087966, 0.00085367, 0.0008594 , 0.00087488, 0.00085126,\n",
-       "       0.00086537, 0.00085947, 0.00085471, 0.00084259, 0.00095181,\n",
-       "       0.00082912, 0.0008256 , 0.00090934, 0.00087018, 0.00089916,\n",
-       "       0.00092589, 0.00086743, 0.00089944, 0.00087811, 0.00087317,\n",
-       "       0.00107914, 0.00159498, 0.00328551, 0.00448938, 0.00305177,\n",
-       "       0.00541741, 0.00361521, 0.00373198, 0.00634779, 0.00319624,\n",
-       "       0.00447244, 0.0054991 , 0.00300834, 0.00516164, 0.00443504,\n",
-       "       0.00317244, 0.00500785, 0.0034654 , 0.00384238, 0.00710983,\n",
-       "       0.00340993, 0.00405701, 0.00549388, 0.00286448, 0.00455561,\n",
-       "       0.00536803, 0.00332622, 0.00465721, 0.00408426, 0.00342391,\n",
-       "       0.00516398, 0.00389882, 0.00370588, 0.00464154, 0.00294781,\n",
-       "       0.0042013 , 0.00299664, 0.00339203, 0.00608696, 0.02220453])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>XASp_sigmaA</span></div><div class='xr-var-dims'>(delay_mm)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.06607 0.06746 ... 0.05775 0.08006</div><input id='attrs-4cbbf8db-52df-44a7-8d33-c834643a9be1' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4cbbf8db-52df-44a7-8d33-c834643a9be1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8eef1d95-ba77-4412-8ac7-f47b93c2af12' class='xr-var-data-in' type='checkbox'><label for='data-8eef1d95-ba77-4412-8ac7-f47b93c2af12' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0.06606695, 0.0674563 , 0.06644531, 0.06676524, 0.06546343,\n",
-       "       0.06425159, 0.06456003, 0.0668644 , 0.06696137, 0.06704573,\n",
-       "       0.06621284, 0.06707776, 0.06628851, 0.06744759, 0.06663328,\n",
-       "       0.06793213, 0.06672607, 0.0664445 , 0.06705643, 0.06846369,\n",
-       "       0.06669193, 0.06640824, 0.06699202, 0.06648226, 0.06688509,\n",
-       "       0.06522712, 0.06800688, 0.06548902, 0.06803173, 0.06741437,\n",
-       "       0.06760686, 0.06720253, 0.06675009, 0.06597174, 0.06567139,\n",
-       "       0.0677452 , 0.06731891, 0.06788926, 0.06780322, 0.06781563,\n",
-       "       0.06697964, 0.068155  , 0.06819312, 0.06693594, 0.06681148,\n",
-       "       0.06744242, 0.06824268, 0.06785003, 0.06828527, 0.06807403,\n",
-       "       0.0676528 , 0.06742972, 0.06682253, 0.0670277 , 0.06686975,\n",
-       "       0.06782388, 0.06748443, 0.06734977, 0.06699414, 0.06567141,\n",
-       "       0.06833001, 0.06615676, 0.06874016, 0.06830015, 0.06750342,\n",
-       "       0.06809932, 0.06822525, 0.06875277, 0.0683032 , 0.06769857,\n",
-       "       0.06763484, 0.06723734, 0.06823563, 0.06762   , 0.06726324,\n",
-       "       0.06804188, 0.06671204, 0.06662988, 0.06819584, 0.06695776,\n",
-       "       0.0671933 , 0.06752138, 0.06597352, 0.06692623, 0.06827171,\n",
-       "       0.06625214, 0.06693962, 0.06814594, 0.06747118, 0.06747293,\n",
-       "       0.06800689, 0.0672074 , 0.06736763, 0.06598678, 0.06649844,\n",
-       "       0.06735748, 0.06738664, 0.06954117, 0.06719087, 0.06706946,\n",
-       "       0.06873919, 0.06646481, 0.06644596, 0.0665762 , 0.06534728,\n",
-       "       0.07057384, 0.06575963, 0.06473181, 0.07058442, 0.06941932,\n",
-       "       0.06662127, 0.06586796, 0.06556837, 0.06990601, 0.07109826,\n",
-       "       0.0703801 , 0.06788668, 0.06142344, 0.0591915 , 0.06474733,\n",
-       "       0.06978435, 0.06832939, 0.06569803, 0.07396906, 0.06983442,\n",
-       "       0.06324555, 0.0724173 , 0.07147639, 0.06837419, 0.0657831 ,\n",
-       "       0.06467814, 0.06807048, 0.06462681, 0.05774593, 0.08005958])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>XASp_muIo</span></div><div class='xr-var-dims'>(delay_mm)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>3.725e+05 3.805e+05 ... 4e+05</div><input id='attrs-784c986a-08fa-40a7-972f-b0cd26470ac1' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-784c986a-08fa-40a7-972f-b0cd26470ac1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-10299618-4f09-4451-a809-472edac00bad' class='xr-var-data-in' type='checkbox'><label for='data-10299618-4f09-4451-a809-472edac00bad' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([372481.43629307, 380468.28796538, 377857.26520674, 381257.06913016,\n",
-       "       377511.71673288, 382413.12675595, 385597.35130567, 382064.41888699,\n",
-       "       376228.33163983, 379457.95572199, 373269.58913396, 372583.50652573,\n",
-       "       374531.75338289, 375961.1068601 , 378818.98216316, 375108.00665112,\n",
-       "       374167.48329958, 381541.57159524, 377718.98542288, 373928.01036965,\n",
-       "       376589.89555145, 379745.47687942, 371387.28455779, 373636.41124427,\n",
-       "       374722.44934623, 378690.1202634 , 381045.59438071, 381271.74089867,\n",
-       "       375547.52130388, 376531.00027034, 378281.62610192, 375793.41441263,\n",
-       "       377612.87973905, 379133.17089903, 375329.80892284, 377896.06111071,\n",
-       "       380074.66204831, 376899.83524919, 374469.00595794, 372599.43454659,\n",
-       "       378891.30626959, 375891.49786403, 380321.25428213, 377410.92096989,\n",
-       "       380060.12406931, 379847.97842074, 373825.67727354, 376013.57787445,\n",
-       "       376812.96308846, 377547.36091673, 375512.84670199, 378940.53923471,\n",
-       "       375781.49276876, 372136.99742516, 376057.07773308, 376795.02987501,\n",
-       "       378104.64167477, 381114.86466486, 371948.65017992, 378573.04619218,\n",
-       "       378003.85801155, 378118.48380769, 372977.03270993, 379128.41196097,\n",
-       "       373836.77507832, 376201.26231313, 375810.31397215, 377757.96677747,\n",
-       "       376481.17821169, 375059.77188233, 378847.97498661, 372300.21611651,\n",
-       "       372199.24957319, 376380.32554575, 372057.25118065, 375444.27241144,\n",
-       "       374747.4049531 , 374195.32650753, 379691.62532564, 378830.75243888,\n",
-       "       381003.64927883, 376158.81204124, 374952.65308774, 379634.68081055,\n",
-       "       374548.60402722, 379445.19241863, 377050.19722771, 374825.78691715,\n",
-       "       379073.70527375, 376639.21211801, 376067.36895104, 377848.95541627,\n",
-       "       376007.22862318, 378727.42938579, 376005.52174837, 375089.57648195,\n",
-       "       370966.42609523, 367787.34259199, 370584.17283394, 379095.89909849,\n",
-       "       384233.84450304, 394335.0589267 , 372172.78441362, 375526.36135339,\n",
-       "       364236.79164809, 378973.81230441, 362170.02491667, 381750.41689938,\n",
-       "       372632.4983921 , 381813.73787959, 375910.65356562, 402323.43341619,\n",
-       "       355434.27214524, 379181.37513334, 384646.44935151, 375032.55043309,\n",
-       "       384944.35613381, 398471.1492022 , 374346.29715078, 360929.05540143,\n",
-       "       383000.55269742, 387245.25208741, 394592.95256809, 365548.17034923,\n",
-       "       369257.4530118 , 390311.79243054, 385242.65473194, 378886.4389188 ,\n",
-       "       391008.71245786, 385067.54265892, 395031.33572052, 367733.92198115,\n",
-       "       376732.36729757, 391069.07147545, 399990.84542574])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>XASp_counts</span></div><div class='xr-var-dims'>(delay_mm)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>559 2454 3942 3570 ... 363 90 13</div><input id='attrs-b5b7840a-fe18-4057-868a-18662b78970d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b5b7840a-fe18-4057-868a-18662b78970d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7ec92bbe-3c0f-4bd9-8244-e168f3dcffc9' class='xr-var-data-in' type='checkbox'><label for='data-7ec92bbe-3c0f-4bd9-8244-e168f3dcffc9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 559, 2454, 3942, 3570, 2943, 3339, 3342, 3066, 2972, 3046, 3655,\n",
-       "       4086, 3974, 4126, 3801, 3817, 4092, 3921, 4128, 3886, 3825, 4143,\n",
-       "       4704, 4377, 4401, 4420, 4871, 4968, 5172, 4937, 5009, 4915, 4635,\n",
-       "       5160, 5199, 6347, 6958, 6400, 6440, 6347, 6016, 5837, 5755, 6078,\n",
-       "       6314, 6210, 5957, 5627, 5803, 6023, 6252, 6459, 6857, 6159, 5997,\n",
-       "       5830, 6121, 5547, 5227, 5408, 5179, 5462, 6965, 6599, 6358, 6456,\n",
-       "       5534, 6205, 5819, 6436, 6154, 5563, 6210, 6201, 5718, 5983, 6107,\n",
-       "       6011, 6076, 6187, 6029, 6172, 5958, 6309, 5145, 6385, 6574, 5616,\n",
-       "       6012, 5631, 5395, 6003, 5610, 5647, 5800, 3896, 1785,  448,  224,\n",
-       "        483,  161,  338,  317,  110,  418,  249,  143,  463,  187,  245,\n",
-       "        441,  173,  358,  331,  100,  426,  280,  125,  427,  202,  169,\n",
-       "        422,  199,  328,  416,  150,  345,  372,  217,  498,  237,  516,\n",
-       "        363,   90,   13])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>XASn_muA</span></div><div class='xr-var-dims'>(delay_mm)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.5668 0.5725 ... 0.5719 0.5683</div><input id='attrs-b0807521-151f-4fc7-b322-d5f01c08eaef' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b0807521-151f-4fc7-b322-d5f01c08eaef' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b9db960b-daf8-4bcc-aa59-0aa0fe7c9177' class='xr-var-data-in' type='checkbox'><label for='data-b9db960b-daf8-4bcc-aa59-0aa0fe7c9177' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0.56682027, 0.57251959, 0.57036185, 0.57278183, 0.57051134,\n",
-       "       0.57280948, 0.57140203, 0.57324599, 0.57522316, 0.56995484,\n",
-       "       0.57216263, 0.57347599, 0.57471577, 0.57261065, 0.57645665,\n",
-       "       0.57527515, 0.57154562, 0.57487376, 0.57257022, 0.57209662,\n",
-       "       0.57352785, 0.5767522 , 0.57675324, 0.57838147, 0.57733538,\n",
-       "       0.57817538, 0.57810567, 0.57745456, 0.57650658, 0.57865825,\n",
-       "       0.57818183, 0.57888226, 0.57852413, 0.57742211, 0.57347934,\n",
-       "       0.57905697, 0.58049215, 0.58098029, 0.58017793, 0.58133955,\n",
-       "       0.57946243, 0.58120229, 0.581779  , 0.5802829 , 0.58406989,\n",
-       "       0.58217587, 0.58243098, 0.58102232, 0.5795686 , 0.58273851,\n",
-       "       0.58213199, 0.57971849, 0.58028535, 0.58084028, 0.58127842,\n",
-       "       0.58159953, 0.58076763, 0.5813799 , 0.58256278, 0.58022936,\n",
-       "       0.58010093, 0.57902938, 0.58041088, 0.57996731, 0.57990682,\n",
-       "       0.57965108, 0.58082708, 0.58155908, 0.58056433, 0.58071275,\n",
-       "       0.58184211, 0.58135693, 0.58015914, 0.57927112, 0.58058032,\n",
-       "       0.5827497 , 0.582411  , 0.58131283, 0.57990783, 0.57754987,\n",
-       "       0.57531196, 0.5765329 , 0.57755704, 0.58041879, 0.58042534,\n",
-       "       0.57892232, 0.57627541, 0.57717666, 0.57876422, 0.58048677,\n",
-       "       0.57758528, 0.580347  , 0.57922108, 0.57898349, 0.57985774,\n",
-       "       0.57599034, 0.57868346, 0.5825261 , 0.59114606, 0.58863835,\n",
-       "       0.58883494, 0.5796009 , 0.57839831, 0.59386385, 0.59271887,\n",
-       "       0.58927168, 0.59767508, 0.59231484, 0.59292991, 0.58705653,\n",
-       "       0.59130037, 0.59661913, 0.58742852, 0.58075732, 0.59447383,\n",
-       "       0.59131919, 0.59320293, 0.5896925 , 0.58681943, 0.58823157,\n",
-       "       0.59509676, 0.58943006, 0.58327051, 0.58550867, 0.58937527,\n",
-       "       0.58937186, 0.59084025, 0.58613952, 0.59096243, 0.59413526,\n",
-       "       0.59560398, 0.58939594, 0.58309516, 0.57189553, 0.56832195])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>XASn_sterrA</span></div><div class='xr-var-dims'>(delay_mm)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.002671 0.001301 ... 0.02121</div><input id='attrs-2d0159b2-ee8e-4b9d-8424-38e898a05320' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2d0159b2-ee8e-4b9d-8424-38e898a05320' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9ec707f5-67ce-4199-a787-c5afc3520f01' class='xr-var-data-in' type='checkbox'><label for='data-9ec707f5-67ce-4199-a787-c5afc3520f01' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0.00267117, 0.00130118, 0.00101082, 0.00106638, 0.00115009,\n",
-       "       0.00106008, 0.00106428, 0.00114624, 0.00116908, 0.00115735,\n",
-       "       0.00104405, 0.00100298, 0.00100333, 0.00100305, 0.00102826,\n",
-       "       0.00104607, 0.00099529, 0.0010126 , 0.00099614, 0.00104875,\n",
-       "       0.00102593, 0.00097887, 0.00092141, 0.00094396, 0.00094531,\n",
-       "       0.00092092, 0.00091519, 0.00087579, 0.00089301, 0.00090696,\n",
-       "       0.00090322, 0.00090773, 0.00092787, 0.00087143, 0.00086447,\n",
-       "       0.00080811, 0.0007662 , 0.00080744, 0.00080351, 0.00081272,\n",
-       "       0.00082233, 0.00084729, 0.00085507, 0.00081742, 0.000798  ,\n",
-       "       0.00081521, 0.00084086, 0.0008615 , 0.00085452, 0.00083521,\n",
-       "       0.00081433, 0.00079985, 0.00076821, 0.00081263, 0.00082241,\n",
-       "       0.00084417, 0.00082166, 0.00086078, 0.00088135, 0.00084727,\n",
-       "       0.00090222, 0.00085252, 0.000784  , 0.00080131, 0.00080846,\n",
-       "       0.00080588, 0.00087377, 0.00083172, 0.00085274, 0.00080388,\n",
-       "       0.00082048, 0.00085809, 0.00082517, 0.00081801, 0.00084621,\n",
-       "       0.00083737, 0.00081213, 0.00081658, 0.0008329 , 0.00081001,\n",
-       "       0.00082536, 0.00081848, 0.00081566, 0.00080246, 0.00090474,\n",
-       "       0.00079087, 0.00078672, 0.00086802, 0.0008286 , 0.00085617,\n",
-       "       0.00088357, 0.00082684, 0.00085672, 0.00083461, 0.00082824,\n",
-       "       0.00102662, 0.00151495, 0.0031271 , 0.0042779 , 0.00289002,\n",
-       "       0.00521569, 0.00341392, 0.00350446, 0.0060573 , 0.00304271,\n",
-       "       0.0042587 , 0.00526029, 0.00284839, 0.0048694 , 0.00421104,\n",
-       "       0.0030168 , 0.00476037, 0.00330562, 0.00362307, 0.00672942,\n",
-       "       0.00321894, 0.00385639, 0.00523636, 0.00271874, 0.00429816,\n",
-       "       0.00507734, 0.00316018, 0.00445514, 0.00387698, 0.00324555,\n",
-       "       0.00490177, 0.00367594, 0.00350728, 0.00439918, 0.00281176,\n",
-       "       0.00397922, 0.00283794, 0.00319827, 0.00579636, 0.02120916])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>XASn_sigmaA</span></div><div class='xr-var-dims'>(delay_mm)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.06316 0.06446 ... 0.05499 0.07647</div><input id='attrs-67b820e1-edcf-499b-9b40-490c78e1f1f6' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-67b820e1-edcf-499b-9b40-490c78e1f1f6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9d159d4b-f503-4669-9961-99f7c14ca06d' class='xr-var-data-in' type='checkbox'><label for='data-9d159d4b-f503-4669-9961-99f7c14ca06d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0.06315501, 0.06445753, 0.06346494, 0.06371563, 0.06239162,\n",
-       "       0.06125593, 0.06152604, 0.06346889, 0.06373367, 0.06387482,\n",
-       "       0.06311985, 0.06411251, 0.06324989, 0.0644299 , 0.06339456,\n",
-       "       0.06462844, 0.06366768, 0.06340662, 0.06400132, 0.06537672,\n",
-       "       0.06345042, 0.06300595, 0.06319589, 0.06245127, 0.06271159,\n",
-       "       0.0612253 , 0.0638734 , 0.06172909, 0.06422257, 0.06372616,\n",
-       "       0.06392457, 0.06363842, 0.06316984, 0.06259768, 0.06233174,\n",
-       "       0.06438022, 0.06391265, 0.06459497, 0.0644813 , 0.06474779,\n",
-       "       0.06378207, 0.06473312, 0.06486696, 0.06372716, 0.0634096 ,\n",
-       "       0.06424122, 0.06489893, 0.06462385, 0.06509507, 0.06481883,\n",
-       "       0.06438908, 0.06428215, 0.06361298, 0.06377464, 0.06368731,\n",
-       "       0.06445634, 0.06428401, 0.06410911, 0.0637197 , 0.06230719,\n",
-       "       0.06492823, 0.06300606, 0.06542972, 0.06509344, 0.06446431,\n",
-       "       0.06475173, 0.06500071, 0.06551576, 0.06504866, 0.06449094,\n",
-       "       0.06436474, 0.06400099, 0.06502642, 0.06441551, 0.06398847,\n",
-       "       0.06477043, 0.06346604, 0.06331033, 0.06492346, 0.06371325,\n",
-       "       0.06408649, 0.06430159, 0.06295909, 0.06373907, 0.06489607,\n",
-       "       0.06319556, 0.06378712, 0.06504974, 0.06424721, 0.06424707,\n",
-       "       0.06489875, 0.0640626 , 0.0641681 , 0.06271785, 0.06307687,\n",
-       "       0.06407965, 0.06400573, 0.06618822, 0.06402577, 0.06351474,\n",
-       "       0.06617972, 0.06276422, 0.06239516, 0.06352947, 0.06220841,\n",
-       "       0.0672011 , 0.06290396, 0.06128998, 0.06658805, 0.06591315,\n",
-       "       0.06335276, 0.06261286, 0.06254526, 0.06591597, 0.06729417,\n",
-       "       0.06643813, 0.06452968, 0.05854423, 0.05618002, 0.06108834,\n",
-       "       0.06600545, 0.06491846, 0.06284746, 0.07021508, 0.06619646,\n",
-       "       0.06003418, 0.06827747, 0.06764593, 0.06480394, 0.06274706,\n",
-       "       0.06125931, 0.06446567, 0.06093514, 0.05498909, 0.0764707 ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>XASn_muIo</span></div><div class='xr-var-dims'>(delay_mm)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>3.725e+05 3.805e+05 ... 4e+05</div><input id='attrs-54f9eb8c-bc4a-4d1e-86bb-eedcb276ae06' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-54f9eb8c-bc4a-4d1e-86bb-eedcb276ae06' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-972ab609-101b-4603-aae4-e62ef593829b' class='xr-var-data-in' type='checkbox'><label for='data-972ab609-101b-4603-aae4-e62ef593829b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([372481.43629307, 380468.28796538, 377857.26520674, 381257.06913016,\n",
-       "       377511.71673288, 382413.12675595, 385597.35130567, 382064.41888699,\n",
-       "       376228.33163983, 379457.95572199, 373269.58913396, 372583.50652573,\n",
-       "       374531.75338289, 375961.1068601 , 378818.98216316, 375108.00665112,\n",
-       "       374167.48329958, 381541.57159524, 377718.98542288, 373928.01036965,\n",
-       "       376589.89555145, 379745.47687942, 371387.28455779, 373636.41124427,\n",
-       "       374722.44934623, 378690.1202634 , 381045.59438071, 381271.74089867,\n",
-       "       375547.52130388, 376531.00027034, 378281.62610192, 375793.41441263,\n",
-       "       377612.87973905, 379133.17089903, 375329.80892284, 377896.06111071,\n",
-       "       380074.66204831, 376899.83524919, 374469.00595794, 372599.43454659,\n",
-       "       378891.30626959, 375891.49786403, 380321.25428213, 377410.92096989,\n",
-       "       380060.12406931, 379847.97842074, 373825.67727354, 376013.57787445,\n",
-       "       376812.96308846, 377547.36091673, 375512.84670199, 378940.53923471,\n",
-       "       375781.49276876, 372136.99742516, 376057.07773308, 376795.02987501,\n",
-       "       378104.64167477, 381114.86466486, 371948.65017992, 378573.04619218,\n",
-       "       378003.85801155, 378118.48380769, 372977.03270993, 379128.41196097,\n",
-       "       373836.77507832, 376201.26231313, 375810.31397215, 377757.96677747,\n",
-       "       376481.17821169, 375059.77188233, 378847.97498661, 372300.21611651,\n",
-       "       372199.24957319, 376380.32554575, 372057.25118065, 375444.27241144,\n",
-       "       374747.4049531 , 374195.32650753, 379691.62532564, 378830.75243888,\n",
-       "       381003.64927883, 376158.81204124, 374952.65308774, 379634.68081055,\n",
-       "       374548.60402722, 379445.19241863, 377050.19722771, 374825.78691715,\n",
-       "       379073.70527375, 376639.21211801, 376067.36895104, 377848.95541627,\n",
-       "       376007.22862318, 378727.42938579, 376005.52174837, 375089.57648195,\n",
-       "       370966.42609523, 367787.34259199, 370584.17283394, 379095.89909849,\n",
-       "       384233.84450304, 394335.0589267 , 372172.78441362, 375526.36135339,\n",
-       "       364236.79164809, 378973.81230441, 362170.02491667, 381750.41689938,\n",
-       "       372632.4983921 , 381813.73787959, 375910.65356562, 402323.43341619,\n",
-       "       355434.27214524, 379181.37513334, 384646.44935151, 375032.55043309,\n",
-       "       384944.35613381, 398471.1492022 , 374346.29715078, 360929.05540143,\n",
-       "       383000.55269742, 387245.25208741, 394592.95256809, 365548.17034923,\n",
-       "       369257.4530118 , 390311.79243054, 385242.65473194, 378886.4389188 ,\n",
-       "       391008.71245786, 385067.54265892, 395031.33572052, 367733.92198115,\n",
-       "       376732.36729757, 391069.07147545, 399990.84542574])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>XASn_counts</span></div><div class='xr-var-dims'>(delay_mm)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>559 2454 3942 3570 ... 363 90 13</div><input id='attrs-e0eee9e7-cf7f-48ba-a4cf-d96e48a375a6' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e0eee9e7-cf7f-48ba-a4cf-d96e48a375a6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8924bb5b-73a9-4c3a-87bd-691acbb9b0c6' class='xr-var-data-in' type='checkbox'><label for='data-8924bb5b-73a9-4c3a-87bd-691acbb9b0c6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 559, 2454, 3942, 3570, 2943, 3339, 3342, 3066, 2972, 3046, 3655,\n",
-       "       4086, 3974, 4126, 3801, 3817, 4092, 3921, 4128, 3886, 3825, 4143,\n",
-       "       4704, 4377, 4401, 4420, 4871, 4968, 5172, 4937, 5009, 4915, 4635,\n",
-       "       5160, 5199, 6347, 6958, 6400, 6440, 6347, 6016, 5837, 5755, 6078,\n",
-       "       6314, 6210, 5957, 5627, 5803, 6023, 6252, 6459, 6857, 6159, 5997,\n",
-       "       5830, 6121, 5547, 5227, 5408, 5179, 5462, 6965, 6599, 6358, 6456,\n",
-       "       5534, 6205, 5819, 6436, 6154, 5563, 6210, 6201, 5718, 5983, 6107,\n",
-       "       6011, 6076, 6187, 6029, 6172, 5958, 6309, 5145, 6385, 6574, 5616,\n",
-       "       6012, 5631, 5395, 6003, 5610, 5647, 5800, 3896, 1785,  448,  224,\n",
-       "        483,  161,  338,  317,  110,  418,  249,  143,  463,  187,  245,\n",
-       "        441,  173,  358,  331,  100,  426,  280,  125,  427,  202,  169,\n",
-       "        422,  199,  328,  416,  150,  345,  372,  217,  498,  237,  516,\n",
-       "        363,   90,   13])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d7573294-0679-44db-b940-3030d9a32386' class='xr-section-summary-in' type='checkbox'  checked><label for='section-d7573294-0679-44db-b940-3030d9a32386' class='xr-section-summary' >Attributes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>runs :</span></dt><dd>688,690</dd></dl></div></li></ul></div></div>"
+       "    runs:     688,690</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-cdb57af9-c465-4524-8064-f2f1a23c0b2e' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-cdb57af9-c465-4524-8064-f2f1a23c0b2e' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>delay_mm</span>: 135</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-cab2ebfb-2c8d-4740-b0aa-95cca6a9634e' class='xr-section-summary-in' type='checkbox'  checked><label for='section-cab2ebfb-2c8d-4740-b0aa-95cca6a9634e' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>delay_mm</span></div><div class='xr-var-dims'>(delay_mm)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>6.712 6.719 6.727 ... 7.709 7.717</div><input id='attrs-c0584231-f004-4e65-bb45-8fa64600a9fb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c0584231-f004-4e65-bb45-8fa64600a9fb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-db2397cb-d50e-412a-ac3c-78fc21358081' class='xr-var-data-in' type='checkbox'><label for='data-db2397cb-d50e-412a-ac3c-78fc21358081' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm</dd></dl></div><div class='xr-var-data'><pre>array([6.711826, 6.719326, 6.726826, 6.734326, 6.741826, 6.749326, 6.756826,\n",
+       "       6.764326, 6.771826, 6.779326, 6.786826, 6.794326, 6.801826, 6.809326,\n",
+       "       6.816826, 6.824326, 6.831826, 6.839326, 6.846826, 6.854326, 6.861826,\n",
+       "       6.869326, 6.876826, 6.884326, 6.891826, 6.899326, 6.906826, 6.914326,\n",
+       "       6.921826, 6.929326, 6.936826, 6.944326, 6.951826, 6.959326, 6.966826,\n",
+       "       6.974326, 6.981826, 6.989326, 6.996826, 7.004326, 7.011826, 7.019326,\n",
+       "       7.026826, 7.034326, 7.041826, 7.049326, 7.056826, 7.064326, 7.071826,\n",
+       "       7.079326, 7.086826, 7.094326, 7.101826, 7.109326, 7.116826, 7.124326,\n",
+       "       7.131826, 7.139326, 7.146826, 7.154326, 7.161826, 7.169326, 7.176826,\n",
+       "       7.184326, 7.191826, 7.199326, 7.206826, 7.214326, 7.221826, 7.229326,\n",
+       "       7.236826, 7.244326, 7.251826, 7.259326, 7.266826, 7.274326, 7.281826,\n",
+       "       7.289326, 7.296826, 7.304326, 7.311826, 7.319326, 7.326826, 7.334326,\n",
+       "       7.341826, 7.349326, 7.356826, 7.364326, 7.371826, 7.379326, 7.386826,\n",
+       "       7.394326, 7.401826, 7.409326, 7.416826, 7.424326, 7.431826, 7.439326,\n",
+       "       7.446826, 7.454326, 7.461826, 7.469326, 7.476826, 7.484326, 7.491826,\n",
+       "       7.499326, 7.506826, 7.514326, 7.521826, 7.529326, 7.536826, 7.544326,\n",
+       "       7.551826, 7.559326, 7.566826, 7.574326, 7.581826, 7.589326, 7.596826,\n",
+       "       7.604326, 7.611826, 7.619326, 7.626826, 7.634326, 7.641826, 7.649326,\n",
+       "       7.656826, 7.664326, 7.671826, 7.679326, 7.686826, 7.694326, 7.701826,\n",
+       "       7.709326, 7.716826])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-47988950-807a-424d-b049-ef90dd7f25d3' class='xr-section-summary-in' type='checkbox'  ><label for='section-47988950-807a-424d-b049-ef90dd7f25d3' class='xr-section-summary' >Data variables: <span>(15)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>dXAS_muA</span></div><div class='xr-var-dims'>(delay_mm)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.1079 0.1089 ... 0.1056 0.1056</div><input id='attrs-e38a3000-73f9-4b44-8721-fa806bd6288a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e38a3000-73f9-4b44-8721-fa806bd6288a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-64c3df0d-8edb-4800-aae6-a2fd12752e30' class='xr-var-data-in' type='checkbox'><label for='data-64c3df0d-8edb-4800-aae6-a2fd12752e30' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0.10789107, 0.10892429, 0.1092965 , 0.10975571, 0.10973757,\n",
+       "       0.10871936, 0.10921034, 0.10882702, 0.10935519, 0.10894561,\n",
+       "       0.10843901, 0.10953679, 0.10906828, 0.10918752, 0.109211  ,\n",
+       "       0.11055182, 0.11026592, 0.11029694, 0.11040037, 0.10986182,\n",
+       "       0.11042652, 0.10943619, 0.10977438, 0.10849041, 0.10867599,\n",
+       "       0.10798554, 0.10957129, 0.1085758 , 0.10853316, 0.10814986,\n",
+       "       0.10919288, 0.10900295, 0.10888491, 0.10939229, 0.10929008,\n",
+       "       0.10949332, 0.10928583, 0.1078414 , 0.10817823, 0.10807076,\n",
+       "       0.10834265, 0.10859579, 0.10886179, 0.10866052, 0.10830668,\n",
+       "       0.10803824, 0.10791328, 0.1078993 , 0.10816475, 0.10856855,\n",
+       "       0.10847166, 0.10862234, 0.10905185, 0.10841222, 0.10792995,\n",
+       "       0.10794576, 0.10819628, 0.10837487, 0.10788326, 0.10813225,\n",
+       "       0.1076758 , 0.10765659, 0.10761514, 0.10776674, 0.10807892,\n",
+       "       0.10795575, 0.10767091, 0.10741416, 0.10733808, 0.1078857 ,\n",
+       "       0.10745457, 0.10752516, 0.10782247, 0.10759125, 0.10728394,\n",
+       "       0.10738241, 0.10739614, 0.10768013, 0.10774261, 0.10749815,\n",
+       "       0.10788644, 0.10778216, 0.10739676, 0.10708243, 0.10714419,\n",
+       "       0.10746557, 0.10720809, 0.1077326 , 0.10728483, 0.10688067,\n",
+       "       0.10750885, 0.10718997, 0.107422  , 0.10750793, 0.10721918,\n",
+       "       0.10661252, 0.10719757, 0.10723555, 0.10659315, 0.10666526,\n",
+       "       0.10717095, 0.10697764, 0.10683848, 0.10738007, 0.1076908 ,\n",
+       "       0.10824491, 0.1089865 , 0.10948399, 0.11009372, 0.11038032,\n",
+       "       0.11095619, 0.11018081, 0.10917191, 0.10777524, 0.10702798,\n",
+       "       0.10660226, 0.10656094, 0.10638073, 0.10678371, 0.10649271,\n",
+       "       0.10587197, 0.10597629, 0.10638255, 0.10687518, 0.10648323,\n",
+       "       0.10606502, 0.10633029, 0.10668171, 0.10685435, 0.10607051,\n",
+       "       0.10630923, 0.1060922 , 0.10619749, 0.10556076, 0.10559292])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>dXAS_sterrA</span></div><div class='xr-var-dims'>(delay_mm)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.001399 0.0005816 ... 0.0001789</div><input id='attrs-1a870d86-c627-4225-9679-ed878e6b80e3' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-1a870d86-c627-4225-9679-ed878e6b80e3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a60e7914-c9e6-435f-a1cd-6ea8c7eb04a4' class='xr-var-data-in' type='checkbox'><label for='data-a60e7914-c9e6-435f-a1cd-6ea8c7eb04a4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([1.39928935e-03, 5.81582432e-04, 3.61692650e-04, 2.58005063e-04,\n",
+       "       3.67116344e-04, 2.56281199e-04, 3.20391081e-04, 3.28467154e-04,\n",
+       "       3.02981362e-04, 4.83012475e-04, 2.81068885e-04, 3.02659245e-04,\n",
+       "       4.22762917e-04, 2.70854665e-04, 4.07521178e-04, 4.74705948e-04,\n",
+       "       2.80301816e-04, 3.70418295e-04, 3.52492704e-04, 2.70196146e-04,\n",
+       "       4.44784249e-04, 3.87151920e-04, 2.75540220e-04, 4.37270519e-04,\n",
+       "       2.91190728e-04, 2.98293912e-04, 5.01539938e-04, 2.56555590e-04,\n",
+       "       3.68871226e-04, 3.68224193e-04, 2.63071495e-04, 4.38169003e-04,\n",
+       "       4.07405414e-04, 2.91124759e-04, 4.03797235e-04, 2.66164361e-04,\n",
+       "       3.08530098e-04, 3.31266101e-04, 1.56772852e-04, 9.87773394e-05,\n",
+       "       7.92294426e-05, 7.49539196e-05, 7.64594404e-05, 7.40222032e-05,\n",
+       "       7.57485189e-05, 7.88998055e-05, 7.67879282e-05, 8.03792168e-05,\n",
+       "       7.10621844e-05, 6.98363766e-05, 8.27405410e-05, 7.25469350e-05,\n",
+       "       7.43904280e-05, 7.51250681e-05, 7.35880951e-05, 7.62638602e-05,\n",
+       "       7.55039584e-05, 7.41637174e-05, 7.41269701e-05, 7.58537719e-05,\n",
+       "       7.71846462e-05, 7.44199575e-05, 7.32931401e-05, 7.77299706e-05,\n",
+       "       7.50098639e-05, 7.12330273e-05, 7.37095328e-05, 7.25350925e-05,\n",
+       "       7.67938480e-05, 7.81499617e-05, 7.58993834e-05, 7.24468240e-05,\n",
+       "       7.09690207e-05, 7.60547872e-05, 8.06927010e-05, 7.87890442e-05,\n",
+       "       8.00072101e-05, 7.80687948e-05, 7.31384587e-05, 7.56073415e-05,\n",
+       "       7.63805226e-05, 7.50310706e-05, 7.08750511e-05, 7.08450484e-05,\n",
+       "       7.28284258e-05, 7.31527502e-05, 7.68628399e-05, 7.62161133e-05,\n",
+       "       7.55254210e-05, 7.42780248e-05, 7.37552487e-05, 7.50241407e-05,\n",
+       "       7.73286365e-05, 7.63064029e-05, 7.92589878e-05, 7.20179391e-05,\n",
+       "       7.18559109e-05, 7.46687519e-05, 6.99931732e-05, 7.17382719e-05,\n",
+       "       8.13763380e-05, 8.30258982e-05, 8.56725617e-05, 8.47389745e-05,\n",
+       "       8.36720268e-05, 8.69955544e-05, 8.31416418e-05, 8.65578397e-05,\n",
+       "       9.36648887e-05, 9.50884544e-05, 9.56355058e-05, 9.31167516e-05,\n",
+       "       8.96769620e-05, 9.03642085e-05, 9.45230632e-05, 9.18659224e-05,\n",
+       "       8.85609216e-05, 8.64868609e-05, 8.69651461e-05, 9.18330771e-05,\n",
+       "       9.31754758e-05, 9.19612258e-05, 8.82533334e-05, 8.81380463e-05,\n",
+       "       8.97814812e-05, 1.03397505e-04, 1.05190310e-04, 1.05835733e-04,\n",
+       "       9.69414130e-05, 1.00138647e-04, 1.01188216e-04, 9.72852568e-05,\n",
+       "       8.83954440e-05, 1.03893962e-04, 1.78927405e-04])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>dXAS_sigmaA</span></div><div class='xr-var-dims'>(delay_mm)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.003958 0.005202 ... 0.005262</div><input id='attrs-2ca686a5-b404-4317-aaa1-3de3ef808a28' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2ca686a5-b404-4317-aaa1-3de3ef808a28' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2d979a1a-c7cf-4b7a-bab1-eb9a00fca43f' class='xr-var-data-in' type='checkbox'><label for='data-2d979a1a-c7cf-4b7a-bab1-eb9a00fca43f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0.00395779, 0.00520183, 0.00608461, 0.00601213, 0.00576969,\n",
+       "       0.00542445, 0.00545606, 0.00574583, 0.00611242, 0.00552833,\n",
+       "       0.00545737, 0.00604561, 0.00531405, 0.00563612, 0.00586321,\n",
+       "       0.00587179, 0.0058057 , 0.00481544, 0.00519254, 0.00566124,\n",
+       "       0.00559085, 0.00607224, 0.00564689, 0.00542638, 0.00592485,\n",
+       "       0.00520093, 0.00624412, 0.00530766, 0.00550842, 0.00506225,\n",
+       "       0.00559916, 0.00495732, 0.00625868, 0.00577866, 0.00496194,\n",
+       "       0.00569617, 0.0051627 , 0.0058607 , 0.00589516, 0.00582284,\n",
+       "       0.00590618, 0.00566981, 0.00571812, 0.00571123, 0.00567356,\n",
+       "       0.00579148, 0.00598207, 0.00595023, 0.00576305, 0.00565976,\n",
+       "       0.00594351, 0.00569759, 0.00575024, 0.00586601, 0.00578638,\n",
+       "       0.00592507, 0.00588786, 0.00579522, 0.00578855, 0.00586286,\n",
+       "       0.00586197, 0.00579951, 0.00579062, 0.00586076, 0.00578841,\n",
+       "       0.00574078, 0.00561887, 0.00577463, 0.00570553, 0.00615205,\n",
+       "       0.00615019, 0.00584265, 0.005832  , 0.00588184, 0.00578404,\n",
+       "       0.00579515, 0.00570525, 0.005766  , 0.00573846, 0.00582029,\n",
+       "       0.00585296, 0.00588982, 0.00580267, 0.00573932, 0.00576036,\n",
+       "       0.00574144, 0.00584208, 0.00574459, 0.00583748, 0.00577986,\n",
+       "       0.00586064, 0.00587301, 0.00589222, 0.00589538, 0.00601116,\n",
+       "       0.00572395, 0.00582077, 0.0058941 , 0.00583426, 0.00583202,\n",
+       "       0.00595328, 0.00589835, 0.00589587, 0.00591293, 0.0059613 ,\n",
+       "       0.00602974, 0.0060847 , 0.00606523, 0.00648862, 0.00643026,\n",
+       "       0.00635167, 0.00615487, 0.00610792, 0.00594827, 0.00583522,\n",
+       "       0.00572524, 0.00566721, 0.00542115, 0.00556917, 0.00568921,\n",
+       "       0.00578589, 0.00577162, 0.00559487, 0.00568268, 0.0055773 ,\n",
+       "       0.00568122, 0.00577973, 0.00576392, 0.00567832, 0.00567884,\n",
+       "       0.00560568, 0.0056618 , 0.00556891, 0.00556779, 0.00526241])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>dXAS_muIo</span></div><div class='xr-var-dims'>(delay_mm)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.46e+05 2.531e+05 ... 2.355e+05</div><input id='attrs-638eb22d-8ae0-43dc-a394-0631d7c06d2c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-638eb22d-8ae0-43dc-a394-0631d7c06d2c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c4e72549-11ce-44d7-abab-d33a9343495d' class='xr-var-data-in' type='checkbox'><label for='data-c4e72549-11ce-44d7-abab-d33a9343495d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([245972.63318917, 253064.95413145, 235432.24649039, 229168.56313796,\n",
+       "       237940.69719353, 234689.33282125, 246143.93354034, 230116.87817025,\n",
+       "       240031.37792332, 235349.08789337, 231470.01967562, 228491.40424086,\n",
+       "       235749.39050881, 245547.64678271, 228998.35572812, 235037.89562474,\n",
+       "       228763.65756837, 239747.78087509, 238816.2670934 , 231612.21637365,\n",
+       "       237090.14230499, 236511.82656656, 223238.4559234 , 247341.68750945,\n",
+       "       231127.27041048, 235568.57957997, 231720.28896274, 236921.06631255,\n",
+       "       222287.00975155, 233742.27266553, 228309.24769557, 223621.02252997,\n",
+       "       236663.40654889, 242500.09721565, 243296.65338454, 235081.18957855,\n",
+       "       227754.79541189, 231239.10756984, 232418.93014341, 233650.0964323 ,\n",
+       "       234690.0871308 , 236303.42323623, 235058.15369622, 234206.18664044,\n",
+       "       237137.62537336, 235254.88023625, 235793.89015283, 234779.85047773,\n",
+       "       236239.45079654, 236677.65257608, 233600.58812449, 237172.3953363 ,\n",
+       "       235192.58107506, 234017.40405027, 240217.01698148, 235564.01103393,\n",
+       "       237433.14103837, 233572.39540145, 233995.86196025, 233026.75491071,\n",
+       "       231291.79324321, 234660.48852302, 232424.98040717, 232877.36437448,\n",
+       "       234884.91189273, 233810.0338365 , 235288.54050769, 234053.7748331 ,\n",
+       "       234345.77684776, 234379.50093186, 233873.27596972, 235916.31082415,\n",
+       "       233892.12981095, 233839.38768684, 235985.53088664, 236841.33050489,\n",
+       "       232532.76995839, 234415.87364964, 236398.46768962, 234856.68712996,\n",
+       "       234448.40707707, 231082.76444107, 234453.18328525, 235918.11787737,\n",
+       "       233570.43319115, 234908.70769555, 235597.23340027, 234920.10854004,\n",
+       "       231247.25623349, 236446.74222417, 235764.12688758, 234826.11169128,\n",
+       "       237926.72129488, 233040.18851141, 236246.9082164 , 233738.03213812,\n",
+       "       232317.85684307, 235832.52267171, 233719.59029127, 237125.41219972,\n",
+       "       236081.24897328, 236059.23849834, 235077.57068602, 235994.75878336,\n",
+       "       235055.04726787, 235877.41700093, 235175.07387165, 238010.33430643,\n",
+       "       238582.00573354, 238019.34496081, 234934.8784123 , 234249.7521795 ,\n",
+       "       233157.93321298, 236066.74964028, 235683.3442403 , 236892.28648612,\n",
+       "       235848.41217902, 240366.20201458, 234640.31026572, 234824.88903861,\n",
+       "       234974.16533705, 237380.84482048, 234902.49623161, 233222.61247523,\n",
+       "       234012.02787022, 237229.4507354 , 236408.18846007, 239038.97371898,\n",
+       "       242879.9789108 , 240479.98305152, 235013.27674873, 239937.48233417,\n",
+       "       237656.14273269, 238418.00997708, 235502.39407558])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>dXAS_counts</span></div><div class='xr-var-dims'>(delay_mm)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>8 80 283 543 ... 3387 3969 2872 865</div><input id='attrs-ceb8563f-cdef-46bd-a76f-79e4a6811e02' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ceb8563f-cdef-46bd-a76f-79e4a6811e02' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ded448ae-89de-494a-985d-5b7b654105b4' class='xr-var-data-in' type='checkbox'><label for='data-ded448ae-89de-494a-985d-5b7b654105b4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([   8,   80,  283,  543,  247,  448,  290,  306,  407,  131,  377,\n",
+       "        399,  158,  433,  207,  153,  429,  169,  217,  439,  158,  246,\n",
+       "        420,  154,  414,  304,  155,  428,  223,  189,  453,  128,  236,\n",
+       "        394,  151,  458,  280,  313, 1414, 3475, 5557, 5722, 5593, 5953,\n",
+       "       5610, 5388, 6069, 5480, 6577, 6568, 5160, 6168, 5975, 6097, 6183,\n",
+       "       6036, 6081, 6106, 6098, 5974, 5768, 6073, 6242, 5685, 5955, 6495,\n",
+       "       5811, 6338, 5520, 6197, 6566, 6504, 6753, 5981, 5138, 5410, 5085,\n",
+       "       5455, 6156, 5926, 5872, 6162, 6703, 6563, 6256, 6160, 5777, 5681,\n",
+       "       5974, 6055, 6314, 6128, 5806, 5969, 5752, 6317, 6562, 6231, 6948,\n",
+       "       6609, 5352, 5047, 4736, 4869, 5076, 4804, 5356, 4910, 4799, 4573,\n",
+       "       4411, 4369, 4639, 4333, 3811, 3884, 4095, 3929, 4101, 3838, 3856,\n",
+       "       3939, 4019, 4157, 3859, 3019, 3019, 2966, 3431, 3216, 3069, 3387,\n",
+       "       3969, 2872,  865])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>XASp_muA</span></div><div class='xr-var-dims'>(delay_mm)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.4743 0.458 ... 0.4681 0.4612</div><input id='attrs-638ab48a-cc58-4e28-9fcd-5458fa44e529' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-638ab48a-cc58-4e28-9fcd-5458fa44e529' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-77a8a2fc-57c0-4a67-ae22-711562207535' class='xr-var-data-in' type='checkbox'><label for='data-77a8a2fc-57c0-4a67-ae22-711562207535' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0.47427044, 0.45797551, 0.47458456, 0.47750789, 0.4825403 ,\n",
+       "       0.48737967, 0.48075057, 0.48305269, 0.47857291, 0.47691591,\n",
+       "       0.48488462, 0.47452196, 0.46675082, 0.47950839, 0.4888966 ,\n",
+       "       0.47456544, 0.47799139, 0.48272213, 0.47563193, 0.48615138,\n",
+       "       0.47653874, 0.47854015, 0.47274406, 0.4859672 , 0.4816358 ,\n",
+       "       0.48325161, 0.47275438, 0.48348128, 0.49059611, 0.48265554,\n",
+       "       0.48235437, 0.48705042, 0.47557833, 0.46667375, 0.47813898,\n",
+       "       0.48003412, 0.47949191, 0.47590637, 0.47052769, 0.46836329,\n",
+       "       0.47088317, 0.47077829, 0.46989852, 0.47202456, 0.46929888,\n",
+       "       0.47171889, 0.47169981, 0.46925875, 0.467838  , 0.4710311 ,\n",
+       "       0.47097357, 0.47183681, 0.46957961, 0.46774721, 0.46739824,\n",
+       "       0.46971615, 0.47113194, 0.47263167, 0.47393297, 0.47467208,\n",
+       "       0.47291593, 0.47180672, 0.47370222, 0.47217317, 0.47391032,\n",
+       "       0.47361842, 0.47135077, 0.47506635, 0.47352897, 0.47126618,\n",
+       "       0.4730328 , 0.47308819, 0.47150895, 0.47147299, 0.47307588,\n",
+       "       0.47263276, 0.47490148, 0.47467304, 0.47215166, 0.47482847,\n",
+       "       0.47333301, 0.47326911, 0.47237701, 0.47344145, 0.47417065,\n",
+       "       0.47478495, 0.47341884, 0.47274353, 0.47504574, 0.47507728,\n",
+       "       0.47611031, 0.47398092, 0.47412091, 0.47422399, 0.47221702,\n",
+       "       0.47435286, 0.47368604, 0.47341418, 0.47370449, 0.47287901,\n",
+       "       0.46719377, 0.46931583, 0.47150386, 0.47100481, 0.47164147,\n",
+       "       0.47030702, 0.46765872, 0.46824351, 0.46682917, 0.46913163,\n",
+       "       0.46646327, 0.46835047, 0.4674862 , 0.46882069, 0.46685975,\n",
+       "       0.4665572 , 0.46488636, 0.4678184 , 0.46607517, 0.46764715,\n",
+       "       0.47052611, 0.46782491, 0.46708052, 0.46644258, 0.46678671,\n",
+       "       0.46439647, 0.46745232, 0.46665573, 0.46530601, 0.46532876,\n",
+       "       0.46531694, 0.46634705, 0.46423264, 0.46807711, 0.46116332])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>XASp_sterrA</span></div><div class='xr-var-dims'>(delay_mm)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.02287 0.007049 ... 0.002192</div><input id='attrs-0d01abcc-1e23-4acd-adca-e82f47670037' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0d01abcc-1e23-4acd-adca-e82f47670037' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ebecf538-99d4-4d38-830c-12802f72d4d3' class='xr-var-data-in' type='checkbox'><label for='data-ebecf538-99d4-4d38-830c-12802f72d4d3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0.02286723, 0.00704901, 0.003711  , 0.0029453 , 0.0042047 ,\n",
+       "       0.00306467, 0.00397155, 0.00412809, 0.00355189, 0.00565403,\n",
+       "       0.00351484, 0.0036733 , 0.00514115, 0.00327253, 0.0049257 ,\n",
+       "       0.00503684, 0.00293506, 0.0045199 , 0.00456703, 0.00333652,\n",
+       "       0.00558869, 0.0045504 , 0.00325173, 0.00519129, 0.00328445,\n",
+       "       0.00386071, 0.00582904, 0.0031603 , 0.00436936, 0.0050993 ,\n",
+       "       0.00310864, 0.0059679 , 0.00427125, 0.00337763, 0.00562845,\n",
+       "       0.00313499, 0.00390187, 0.00408271, 0.00179502, 0.00114305,\n",
+       "       0.00089402, 0.00087538, 0.00089128, 0.00087893, 0.00089576,\n",
+       "       0.00091955, 0.00086845, 0.00092625, 0.00082511, 0.00082218,\n",
+       "       0.00094533, 0.00085203, 0.00085312, 0.0008607 , 0.00085554,\n",
+       "       0.00086175, 0.00087424, 0.00085943, 0.000853  , 0.00087532,\n",
+       "       0.00088476, 0.00086716, 0.00086148, 0.00089885, 0.00088066,\n",
+       "       0.00083416, 0.00089036, 0.00086547, 0.00092085, 0.00086651,\n",
+       "       0.00083137, 0.00084744, 0.00083644, 0.0008641 , 0.00094871,\n",
+       "       0.0008966 , 0.00093696, 0.0009093 , 0.00085673, 0.00088378,\n",
+       "       0.00087304, 0.00085147, 0.00081915, 0.000831  , 0.00085531,\n",
+       "       0.00086141, 0.00090384, 0.00089662, 0.00088811, 0.00086938,\n",
+       "       0.00083916, 0.00085003, 0.00089952, 0.00087796, 0.00088805,\n",
+       "       0.00085217, 0.00083742, 0.0008547 , 0.00081443, 0.00083081,\n",
+       "       0.00089355, 0.00093317, 0.00096888, 0.00096174, 0.00094765,\n",
+       "       0.00098124, 0.00092517, 0.00093453, 0.00098026, 0.00097555,\n",
+       "       0.00100036, 0.00101102, 0.00097568, 0.00101362, 0.00107159,\n",
+       "       0.00110256, 0.0010412 , 0.00106635, 0.00104014, 0.00109645,\n",
+       "       0.00107563, 0.00106479, 0.00106249, 0.00103301, 0.001068  ,\n",
+       "       0.00122202, 0.00122359, 0.00122624, 0.00110555, 0.00113932,\n",
+       "       0.00118237, 0.00113849, 0.00105144, 0.00126858, 0.00219213])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>XASp_sigmaA</span></div><div class='xr-var-dims'>(delay_mm)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.06468 0.06305 ... 0.06798 0.06447</div><input id='attrs-0ff63b95-60e2-4512-9740-209061afabb0' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0ff63b95-60e2-4512-9740-209061afabb0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7129b7c3-a581-4447-99e2-f085633c5fd5' class='xr-var-data-in' type='checkbox'><label for='data-7129b7c3-a581-4447-99e2-f085633c5fd5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0.0646783 , 0.06304824, 0.06242871, 0.06863235, 0.06608212,\n",
+       "       0.06486673, 0.06763301, 0.07221205, 0.07165678, 0.06471335,\n",
+       "       0.06824586, 0.07337413, 0.06462322, 0.06809691, 0.07086849,\n",
+       "       0.06230227, 0.0607919 , 0.05875868, 0.06727657, 0.06990776,\n",
+       "       0.07024878, 0.07137031, 0.06664066, 0.06442225, 0.06682874,\n",
+       "       0.06731379, 0.07257096, 0.06538077, 0.06524853, 0.07010376,\n",
+       "       0.06616375, 0.06751903, 0.06561622, 0.06704398, 0.0691635 ,\n",
+       "       0.06709177, 0.06529072, 0.07223045, 0.06749841, 0.06738185,\n",
+       "       0.06664483, 0.06621694, 0.06665589, 0.06781409, 0.0670924 ,\n",
+       "       0.06749748, 0.06765572, 0.06856747, 0.06691517, 0.06663228,\n",
+       "       0.06790597, 0.06691583, 0.06594425, 0.06720657, 0.06727315,\n",
+       "       0.06695104, 0.06817358, 0.06715688, 0.06661028, 0.06765491,\n",
+       "       0.06719553, 0.06757717, 0.0680625 , 0.06777255, 0.06795955,\n",
+       "       0.06722637, 0.06787244, 0.06890144, 0.06841576, 0.06821225,\n",
+       "       0.06736651, 0.06834381, 0.06873549, 0.06682652, 0.0680037 ,\n",
+       "       0.0659476 , 0.0668136 , 0.06715882, 0.06721929, 0.06803376,\n",
+       "       0.06690024, 0.06683923, 0.06706525, 0.06732116, 0.06765061,\n",
+       "       0.06760826, 0.06869815, 0.0675801 , 0.06864314, 0.06764992,\n",
+       "       0.06668003, 0.06654168, 0.06854049, 0.06783092, 0.06735178,\n",
+       "       0.06773024, 0.06783646, 0.06746713, 0.06788658, 0.067541  ,\n",
+       "       0.0653696 , 0.06629441, 0.06667685, 0.06710877, 0.06751639,\n",
+       "       0.06801059, 0.06770794, 0.06548357, 0.06790753, 0.06597064,\n",
+       "       0.06643939, 0.06682707, 0.0664541 , 0.06672193, 0.06615289,\n",
+       "       0.06871333, 0.06662868, 0.06684044, 0.06660933, 0.06792659,\n",
+       "       0.06679277, 0.06682752, 0.06735726, 0.06660338, 0.06634498,\n",
+       "       0.06714421, 0.0672306 , 0.066782  , 0.06475757, 0.06461063,\n",
+       "       0.06550163, 0.06625753, 0.06624097, 0.06798442, 0.06447261])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>XASp_muIo</span></div><div class='xr-var-dims'>(delay_mm)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>3.952e+05 4.001e+05 ... 3.735e+05</div><input id='attrs-681e813a-9495-49d9-a157-4b7b560b3919' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-681e813a-9495-49d9-a157-4b7b560b3919' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5f4521bb-ce0d-40fb-8fb2-7f92ee3a6aea' class='xr-var-data-in' type='checkbox'><label for='data-5f4521bb-ce0d-40fb-8fb2-7f92ee3a6aea' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([395239.02887725, 400062.86552216, 378421.15145545, 369431.63648159,\n",
+       "       385507.93239214, 382084.70316487, 398085.58921961, 373022.98363147,\n",
+       "       387355.37899293, 379170.43605841, 375904.44773581, 367241.82196831,\n",
+       "       375974.06199413, 396628.23330342, 373385.50895542, 377780.07061968,\n",
+       "       368957.25633361, 388506.37752799, 384262.69864544, 376612.14696387,\n",
+       "       381831.40236778, 381663.12908971, 358161.70487998, 402114.92675977,\n",
+       "       374130.36572511, 381936.24172029, 371773.71449071, 384217.31377878,\n",
+       "       363059.05068065, 378749.35407475, 369834.43512868, 363945.15082706,\n",
+       "       380778.26990386, 386710.30979533, 392454.44782847, 379921.65675541,\n",
+       "       367881.73188513, 372172.9397728 , 372065.22162695, 373227.43081763,\n",
+       "       375834.55731566, 378378.47883153, 376053.51726473, 375487.96745755,\n",
+       "       379152.89943933, 377053.99950449, 377910.68710431, 375368.0544887 ,\n",
+       "       377165.43575302, 379073.53153365, 374123.64211038, 380172.11844585,\n",
+       "       376148.60248017, 373583.93289538, 383347.15668057, 376794.08156653,\n",
+       "       380321.90374179, 374699.26321363, 375867.39401718, 374587.47379238,\n",
+       "       371146.18519813, 376134.37652265, 373257.94622099, 373413.04030917,\n",
+       "       377286.92513963, 375450.78197085, 376969.15299414, 376386.76363657,\n",
+       "       376277.41282462, 375480.96434137, 375332.46565353, 378632.21284262,\n",
+       "       374791.16416492, 374693.17632527, 378738.64440411, 379943.73772933,\n",
+       "       373879.15853957, 376820.82606004, 379050.88626923, 377588.1125412 ,\n",
+       "       376368.44217921, 370941.75154747, 376016.4646521 , 378768.8912641 ,\n",
+       "       375273.21087257, 377655.31311399, 378245.15585384, 376903.43984681,\n",
+       "       371865.87813715, 380239.10248491, 379533.22720487, 377219.1107953 ,\n",
+       "       382253.36258922, 374441.24820572, 378832.62949822, 375610.9209162 ,\n",
+       "       373079.87745386, 378621.1448808 , 375337.85162236, 380493.14923094,\n",
+       "       376670.12167234, 377435.09124866, 376688.80972786, 377969.84197712,\n",
+       "       376704.55150999, 377518.3861871 , 375398.80819508, 380146.8416331 ,\n",
+       "       380521.33928005, 380499.01347746, 374567.35201641, 374180.51252018,\n",
+       "       372114.74078391, 377260.257515  , 375909.67762014, 377723.61496446,\n",
+       "       375431.35173577, 383746.43081083, 373952.55127127, 374835.48971796,\n",
+       "       376155.14634907, 378982.75561941, 374746.9641133 , 371829.71722224,\n",
+       "       373216.70181529, 377444.78235616, 377289.29175525, 381184.05267505,\n",
+       "       386786.71544421, 382973.43104455, 374263.07213427, 382498.77381998,\n",
+       "       378061.72894568, 380734.61771435, 373487.4496943 ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>XASp_counts</span></div><div class='xr-var-dims'>(delay_mm)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>8 80 283 543 ... 3387 3969 2872 865</div><input id='attrs-a28718b9-7a87-4fd6-be54-6726b2b509b5' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a28718b9-7a87-4fd6-be54-6726b2b509b5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c0ac6124-8493-4a2f-aa27-f3a17eced5e0' class='xr-var-data-in' type='checkbox'><label for='data-c0ac6124-8493-4a2f-aa27-f3a17eced5e0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([   8,   80,  283,  543,  247,  448,  290,  306,  407,  131,  377,\n",
+       "        399,  158,  433,  207,  153,  429,  169,  217,  439,  158,  246,\n",
+       "        420,  154,  414,  304,  155,  428,  223,  189,  453,  128,  236,\n",
+       "        394,  151,  458,  280,  313, 1414, 3475, 5557, 5722, 5593, 5953,\n",
+       "       5610, 5388, 6069, 5480, 6577, 6568, 5160, 6168, 5975, 6097, 6183,\n",
+       "       6036, 6081, 6106, 6098, 5974, 5768, 6073, 6242, 5685, 5955, 6495,\n",
+       "       5811, 6338, 5520, 6197, 6566, 6504, 6753, 5981, 5138, 5410, 5085,\n",
+       "       5455, 6156, 5926, 5872, 6162, 6703, 6563, 6256, 6160, 5777, 5681,\n",
+       "       5974, 6055, 6314, 6128, 5806, 5969, 5752, 6317, 6562, 6231, 6948,\n",
+       "       6609, 5352, 5047, 4736, 4869, 5076, 4804, 5356, 4910, 4799, 4573,\n",
+       "       4411, 4369, 4639, 4333, 3811, 3884, 4095, 3929, 4101, 3838, 3856,\n",
+       "       3939, 4019, 4157, 3859, 3019, 3019, 2966, 3431, 3216, 3069, 3387,\n",
+       "       3969, 2872,  865])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>XASn_muA</span></div><div class='xr-var-dims'>(delay_mm)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.5822 0.5669 ... 0.5736 0.5668</div><input id='attrs-c886cc44-99bd-4c20-a1fc-92838ea5ccc6' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c886cc44-99bd-4c20-a1fc-92838ea5ccc6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4e184a48-1d4c-4ae2-bc2f-d99d84a1df30' class='xr-var-data-in' type='checkbox'><label for='data-4e184a48-1d4c-4ae2-bc2f-d99d84a1df30' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0.5821615 , 0.56689979, 0.58388106, 0.5872636 , 0.59227787,\n",
+       "       0.59609903, 0.58996091, 0.59187971, 0.58792809, 0.58586152,\n",
+       "       0.59332363, 0.58405875, 0.5758191 , 0.58869592, 0.5981076 ,\n",
+       "       0.58511726, 0.58825731, 0.59301906, 0.5860323 , 0.5960132 ,\n",
+       "       0.58696526, 0.58797634, 0.58251844, 0.59445762, 0.59031179,\n",
+       "       0.59123715, 0.58232567, 0.59205709, 0.59912927, 0.5908054 ,\n",
+       "       0.59154725, 0.59605336, 0.58446324, 0.57606604, 0.58742906,\n",
+       "       0.58952744, 0.58877774, 0.58374776, 0.57870592, 0.57643405,\n",
+       "       0.57922582, 0.57937408, 0.57876031, 0.58068508, 0.57760557,\n",
+       "       0.57975713, 0.57961309, 0.57715805, 0.57600275, 0.57959965,\n",
+       "       0.57944523, 0.58045915, 0.57863146, 0.57615943, 0.57532819,\n",
+       "       0.57766191, 0.57932821, 0.58100653, 0.58181623, 0.58280432,\n",
+       "       0.58059172, 0.57946331, 0.58131736, 0.57993991, 0.58198924,\n",
+       "       0.58157418, 0.57902168, 0.5824805 , 0.58086705, 0.57915188,\n",
+       "       0.58048737, 0.58061335, 0.57933142, 0.57906424, 0.58035982,\n",
+       "       0.58001517, 0.58229762, 0.58235316, 0.57989427, 0.58232662,\n",
+       "       0.58121945, 0.58105127, 0.57977377, 0.58052388, 0.58131484,\n",
+       "       0.58225052, 0.58062693, 0.58047614, 0.58233056, 0.58195795,\n",
+       "       0.58361916, 0.58117089, 0.58154291, 0.58173192, 0.5794362 ,\n",
+       "       0.58096538, 0.5808836 , 0.58064973, 0.58029764, 0.57954427,\n",
+       "       0.57436472, 0.57629346, 0.57834234, 0.57838488, 0.57933227,\n",
+       "       0.57855194, 0.57664522, 0.5777275 , 0.57692289, 0.57951196,\n",
+       "       0.57741946, 0.57853128, 0.57665811, 0.57659592, 0.57388773,\n",
+       "       0.57315946, 0.5714473 , 0.57419913, 0.57285889, 0.57413986,\n",
+       "       0.57639807, 0.5738012 , 0.57346307, 0.57331777, 0.57326993,\n",
+       "       0.57046149, 0.57378261, 0.57333744, 0.57216036, 0.57139927,\n",
+       "       0.57162617, 0.57243924, 0.57043013, 0.57363788, 0.56675624])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>XASn_sterrA</span></div><div class='xr-var-dims'>(delay_mm)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.02177 0.006726 ... 0.002094</div><input id='attrs-d0e2ecda-0911-4cdf-b951-cb32e15102d1' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d0e2ecda-0911-4cdf-b951-cb32e15102d1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-479f85b6-e21c-45d2-8b33-177502e9641c' class='xr-var-data-in' type='checkbox'><label for='data-479f85b6-e21c-45d2-8b33-177502e9641c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0.02177151, 0.00672558, 0.0035032 , 0.00278405, 0.00398374,\n",
+       "       0.00291981, 0.00377938, 0.00390092, 0.00335218, 0.00537184,\n",
+       "       0.0033361 , 0.00347874, 0.00493352, 0.00311105, 0.00466629,\n",
+       "       0.00474288, 0.0027752 , 0.00433088, 0.00435028, 0.00314895,\n",
+       "       0.00530008, 0.00428582, 0.00309269, 0.00493533, 0.00311496,\n",
+       "       0.00368452, 0.00548541, 0.00299167, 0.00417187, 0.00487539,\n",
+       "       0.00295393, 0.00570883, 0.00400073, 0.00318427, 0.00541701,\n",
+       "       0.00296737, 0.00372505, 0.0038781 , 0.0017066 , 0.00108845,\n",
+       "       0.00084725, 0.00083206, 0.00084843, 0.00083825, 0.00085478,\n",
+       "       0.00087613, 0.00082689, 0.00088265, 0.00078638, 0.00078501,\n",
+       "       0.00089813, 0.00081161, 0.00081363, 0.00081969, 0.00081632,\n",
+       "       0.00081935, 0.00083296, 0.00081679, 0.00081151, 0.00083327,\n",
+       "       0.00084218, 0.00082506, 0.00082129, 0.00085535, 0.00083799,\n",
+       "       0.00079487, 0.0008484 , 0.00082416, 0.00087722, 0.00082406,\n",
+       "       0.00079329, 0.00080819, 0.00079658, 0.00082245, 0.0009027 ,\n",
+       "       0.00084958, 0.00089106, 0.0008657 , 0.00081583, 0.00084069,\n",
+       "       0.00083161, 0.00080953, 0.00077951, 0.00079221, 0.0008143 ,\n",
+       "       0.00081975, 0.00086198, 0.00085406, 0.00084529, 0.0008281 ,\n",
+       "       0.00079671, 0.00080915, 0.00085513, 0.00083413, 0.00084471,\n",
+       "       0.00081419, 0.00079709, 0.00081243, 0.00077413, 0.00078908,\n",
+       "       0.00084774, 0.00088624, 0.00091696, 0.00091037, 0.00089717,\n",
+       "       0.00092695, 0.00087385, 0.00088126, 0.00092072, 0.0009158 ,\n",
+       "       0.00093837, 0.00094947, 0.00091889, 0.00095986, 0.00101903,\n",
+       "       0.00105311, 0.00099243, 0.00101997, 0.00099164, 0.00104382,\n",
+       "       0.00102263, 0.00101566, 0.00101498, 0.00098701, 0.00101943,\n",
+       "       0.00116303, 0.00116561, 0.00116387, 0.00105349, 0.00108593,\n",
+       "       0.00112591, 0.00108698, 0.00100389, 0.00121235, 0.00209409])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>XASn_sigmaA</span></div><div class='xr-var-dims'>(delay_mm)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.06158 0.06016 ... 0.06497 0.06159</div><input id='attrs-e639a5a9-5a54-401b-885a-921e070c3e7b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e639a5a9-5a54-401b-885a-921e070c3e7b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-53564e87-ac78-484d-bded-7611e5744602' class='xr-var-data-in' type='checkbox'><label for='data-53564e87-ac78-484d-bded-7611e5744602' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0.06157912, 0.06015539, 0.05893293, 0.06487495, 0.06260943,\n",
+       "       0.06180064, 0.06436048, 0.06823829, 0.06762759, 0.06148353,\n",
+       "       0.06477541, 0.06948773, 0.06201332, 0.06473686, 0.06713619,\n",
+       "       0.05866625, 0.05748078, 0.05630144, 0.0640837 , 0.06597777,\n",
+       "       0.06662098, 0.06722042, 0.06338132, 0.06124583, 0.0633801 ,\n",
+       "       0.06424172, 0.06829275, 0.06189208, 0.06229935, 0.06702556,\n",
+       "       0.06287078, 0.06458799, 0.06146034, 0.06320592, 0.06656536,\n",
+       "       0.06350439, 0.06233205, 0.06861061, 0.06417363, 0.06416295,\n",
+       "       0.0631584 , 0.06293991, 0.06345069, 0.06467554, 0.06402306,\n",
+       "       0.06431072, 0.06441811, 0.06533983, 0.06377412, 0.06361959,\n",
+       "       0.06451545, 0.06374133, 0.06289246, 0.06400415, 0.06418875,\n",
+       "       0.06365662, 0.06495491, 0.063825  , 0.06337071, 0.06440476,\n",
+       "       0.06396166, 0.06429682, 0.06488717, 0.06449238, 0.06466671,\n",
+       "       0.06406009, 0.06467369, 0.06561231, 0.0651747 , 0.06487082,\n",
+       "       0.06428124, 0.06517809, 0.06546025, 0.06360606, 0.06470523,\n",
+       "       0.0624891 , 0.06354067, 0.06393877, 0.06401053, 0.06471678,\n",
+       "       0.06372524, 0.0635472 , 0.06381988, 0.0641784 , 0.06440717,\n",
+       "       0.06433865, 0.06551606, 0.06437258, 0.06533363, 0.06443752,\n",
+       "       0.06330705, 0.06334137, 0.06515825, 0.06444417, 0.06406452,\n",
+       "       0.06471115, 0.06456939, 0.06413024, 0.06452702, 0.06414923,\n",
+       "       0.0620184 , 0.06296029, 0.06310422, 0.06352426, 0.06392008,\n",
+       "       0.06424753, 0.06395276, 0.06175133, 0.06378302, 0.06193034,\n",
+       "       0.06232244, 0.06275846, 0.0625858 , 0.06318362, 0.06290801,\n",
+       "       0.06563154, 0.06350768, 0.06393376, 0.06350393, 0.0646663 ,\n",
+       "       0.0635022 , 0.06374408, 0.064345  , 0.06363714, 0.06332779,\n",
+       "       0.06390345, 0.06404497, 0.06338564, 0.0617077 , 0.06158263,\n",
+       "       0.06237377, 0.06326013, 0.06324527, 0.06497117, 0.06158889])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>XASn_muIo</span></div><div class='xr-var-dims'>(delay_mm)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>3.952e+05 4.001e+05 ... 3.735e+05</div><input id='attrs-fd76dba5-3f58-4fdd-b28f-cc8d8eb6b109' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-fd76dba5-3f58-4fdd-b28f-cc8d8eb6b109' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-78a7df73-a395-4b80-995b-8160568e09e3' class='xr-var-data-in' type='checkbox'><label for='data-78a7df73-a395-4b80-995b-8160568e09e3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([395239.02887725, 400062.86552216, 378421.15145545, 369431.63648159,\n",
+       "       385507.93239214, 382084.70316487, 398085.58921961, 373022.98363147,\n",
+       "       387355.37899293, 379170.43605841, 375904.44773581, 367241.82196831,\n",
+       "       375974.06199413, 396628.23330342, 373385.50895542, 377780.07061968,\n",
+       "       368957.25633361, 388506.37752799, 384262.69864544, 376612.14696387,\n",
+       "       381831.40236778, 381663.12908971, 358161.70487998, 402114.92675977,\n",
+       "       374130.36572511, 381936.24172029, 371773.71449071, 384217.31377878,\n",
+       "       363059.05068065, 378749.35407475, 369834.43512868, 363945.15082706,\n",
+       "       380778.26990386, 386710.30979533, 392454.44782847, 379921.65675541,\n",
+       "       367881.73188513, 372172.9397728 , 372065.22162695, 373227.43081763,\n",
+       "       375834.55731566, 378378.47883153, 376053.51726473, 375487.96745755,\n",
+       "       379152.89943933, 377053.99950449, 377910.68710431, 375368.0544887 ,\n",
+       "       377165.43575302, 379073.53153365, 374123.64211038, 380172.11844585,\n",
+       "       376148.60248017, 373583.93289538, 383347.15668057, 376794.08156653,\n",
+       "       380321.90374179, 374699.26321363, 375867.39401718, 374587.47379238,\n",
+       "       371146.18519813, 376134.37652265, 373257.94622099, 373413.04030917,\n",
+       "       377286.92513963, 375450.78197085, 376969.15299414, 376386.76363657,\n",
+       "       376277.41282462, 375480.96434137, 375332.46565353, 378632.21284262,\n",
+       "       374791.16416492, 374693.17632527, 378738.64440411, 379943.73772933,\n",
+       "       373879.15853957, 376820.82606004, 379050.88626923, 377588.1125412 ,\n",
+       "       376368.44217921, 370941.75154747, 376016.4646521 , 378768.8912641 ,\n",
+       "       375273.21087257, 377655.31311399, 378245.15585384, 376903.43984681,\n",
+       "       371865.87813715, 380239.10248491, 379533.22720487, 377219.1107953 ,\n",
+       "       382253.36258922, 374441.24820572, 378832.62949822, 375610.9209162 ,\n",
+       "       373079.87745386, 378621.1448808 , 375337.85162236, 380493.14923094,\n",
+       "       376670.12167234, 377435.09124866, 376688.80972786, 377969.84197712,\n",
+       "       376704.55150999, 377518.3861871 , 375398.80819508, 380146.8416331 ,\n",
+       "       380521.33928005, 380499.01347746, 374567.35201641, 374180.51252018,\n",
+       "       372114.74078391, 377260.257515  , 375909.67762014, 377723.61496446,\n",
+       "       375431.35173577, 383746.43081083, 373952.55127127, 374835.48971796,\n",
+       "       376155.14634907, 378982.75561941, 374746.9641133 , 371829.71722224,\n",
+       "       373216.70181529, 377444.78235616, 377289.29175525, 381184.05267505,\n",
+       "       386786.71544421, 382973.43104455, 374263.07213427, 382498.77381998,\n",
+       "       378061.72894568, 380734.61771435, 373487.4496943 ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>XASn_counts</span></div><div class='xr-var-dims'>(delay_mm)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>8 80 283 543 ... 3387 3969 2872 865</div><input id='attrs-0567d15b-49a7-4a2d-b9d8-bd54562453fe' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0567d15b-49a7-4a2d-b9d8-bd54562453fe' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-85555dad-5124-4fc6-872a-f4468e0a35c3' class='xr-var-data-in' type='checkbox'><label for='data-85555dad-5124-4fc6-872a-f4468e0a35c3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([   8,   80,  283,  543,  247,  448,  290,  306,  407,  131,  377,\n",
+       "        399,  158,  433,  207,  153,  429,  169,  217,  439,  158,  246,\n",
+       "        420,  154,  414,  304,  155,  428,  223,  189,  453,  128,  236,\n",
+       "        394,  151,  458,  280,  313, 1414, 3475, 5557, 5722, 5593, 5953,\n",
+       "       5610, 5388, 6069, 5480, 6577, 6568, 5160, 6168, 5975, 6097, 6183,\n",
+       "       6036, 6081, 6106, 6098, 5974, 5768, 6073, 6242, 5685, 5955, 6495,\n",
+       "       5811, 6338, 5520, 6197, 6566, 6504, 6753, 5981, 5138, 5410, 5085,\n",
+       "       5455, 6156, 5926, 5872, 6162, 6703, 6563, 6256, 6160, 5777, 5681,\n",
+       "       5974, 6055, 6314, 6128, 5806, 5969, 5752, 6317, 6562, 6231, 6948,\n",
+       "       6609, 5352, 5047, 4736, 4869, 5076, 4804, 5356, 4910, 4799, 4573,\n",
+       "       4411, 4369, 4639, 4333, 3811, 3884, 4095, 3929, 4101, 3838, 3856,\n",
+       "       3939, 4019, 4157, 3859, 3019, 3019, 2966, 3431, 3216, 3069, 3387,\n",
+       "       3969, 2872,  865])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-4359fbc4-8c3e-4835-9c2d-adad251c0cdd' class='xr-section-summary-in' type='checkbox'  checked><label for='section-4359fbc4-8c3e-4835-9c2d-adad251c0cdd' class='xr-section-summary' >Attributes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>runs :</span></dt><dd>688,690</dd></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.Dataset>\n",
        "Dimensions:      (delay_mm: 135)\n",
        "Coordinates:\n",
-       "  * delay_mm     (delay_mm) float64 -3.415 -3.408 -3.4 ... -2.425 -2.418 -2.41\n",
+       "  * delay_mm     (delay_mm) float64 6.712 6.719 6.727 ... 7.702 7.709 7.717\n",
        "Data variables:\n",
-       "    dXAS_muA     (delay_mm) float64 0.1055 0.1055 0.1062 ... 0.1096 0.1091 0.108\n",
-       "    dXAS_sterrA  (delay_mm) float64 0.0002289 0.0001111 ... 0.0005408 0.001243\n",
-       "    dXAS_sigmaA  (delay_mm) float64 0.005411 0.005504 ... 0.005131 0.004483\n",
-       "    dXAS_muIo    (delay_mm) float64 2.348e+05 2.385e+05 ... 2.462e+05 2.524e+05\n",
-       "    dXAS_counts  (delay_mm) int64 559 2454 3942 3570 2943 ... 237 516 363 90 13\n",
-       "    XASp_muA     (delay_mm) float64 0.4614 0.467 0.4642 ... 0.4735 0.4628 0.4603\n",
-       "    XASp_sterrA  (delay_mm) float64 0.002794 0.001362 ... 0.006087 0.0222\n",
-       "    XASp_sigmaA  (delay_mm) float64 0.06607 0.06746 0.06645 ... 0.05775 0.08006\n",
-       "    XASp_muIo    (delay_mm) float64 3.725e+05 3.805e+05 ... 3.911e+05 4e+05\n",
-       "    XASp_counts  (delay_mm) int64 559 2454 3942 3570 2943 ... 237 516 363 90 13\n",
-       "    XASn_muA     (delay_mm) float64 0.5668 0.5725 0.5704 ... 0.5719 0.5683\n",
-       "    XASn_sterrA  (delay_mm) float64 0.002671 0.001301 ... 0.005796 0.02121\n",
-       "    XASn_sigmaA  (delay_mm) float64 0.06316 0.06446 0.06346 ... 0.05499 0.07647\n",
-       "    XASn_muIo    (delay_mm) float64 3.725e+05 3.805e+05 ... 3.911e+05 4e+05\n",
-       "    XASn_counts  (delay_mm) int64 559 2454 3942 3570 2943 ... 237 516 363 90 13\n",
+       "    dXAS_muA     (delay_mm) float64 0.1079 0.1089 0.1093 ... 0.1056 0.1056\n",
+       "    dXAS_sterrA  (delay_mm) float64 0.001399 0.0005816 ... 0.0001039 0.0001789\n",
+       "    dXAS_sigmaA  (delay_mm) float64 0.003958 0.005202 ... 0.005568 0.005262\n",
+       "    dXAS_muIo    (delay_mm) float64 2.46e+05 2.531e+05 ... 2.384e+05 2.355e+05\n",
+       "    dXAS_counts  (delay_mm) int64 8 80 283 543 247 ... 3069 3387 3969 2872 865\n",
+       "    XASp_muA     (delay_mm) float64 0.4743 0.458 0.4746 ... 0.4642 0.4681 0.4612\n",
+       "    XASp_sterrA  (delay_mm) float64 0.02287 0.007049 ... 0.001269 0.002192\n",
+       "    XASp_sigmaA  (delay_mm) float64 0.06468 0.06305 0.06243 ... 0.06798 0.06447\n",
+       "    XASp_muIo    (delay_mm) float64 3.952e+05 4.001e+05 ... 3.807e+05 3.735e+05\n",
+       "    XASp_counts  (delay_mm) int64 8 80 283 543 247 ... 3069 3387 3969 2872 865\n",
+       "    XASn_muA     (delay_mm) float64 0.5822 0.5669 0.5839 ... 0.5736 0.5668\n",
+       "    XASn_sterrA  (delay_mm) float64 0.02177 0.006726 ... 0.001212 0.002094\n",
+       "    XASn_sigmaA  (delay_mm) float64 0.06158 0.06016 0.05893 ... 0.06497 0.06159\n",
+       "    XASn_muIo    (delay_mm) float64 3.952e+05 4.001e+05 ... 3.807e+05 3.735e+05\n",
+       "    XASn_counts  (delay_mm) int64 8 80 283 543 247 ... 3069 3387 3969 2872 865\n",
        "Attributes:\n",
        "    runs:     688,690"
       ]
      },
-     "execution_count": 12,
+     "execution_count": 13,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2206,7 +2211,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 14,
    "metadata": {},
    "outputs": [
     {
diff --git a/scripts/boz_parameters_job.sh b/scripts/boz_parameters_job.sh
index e180b0b..f66bac4 100644
--- a/scripts/boz_parameters_job.sh
+++ b/scripts/boz_parameters_job.sh
@@ -22,7 +22,7 @@ PDIR=$(find-proposal $PROPOSAL)
 RDIR="$PDIR/usr/processed_runs/r$(printf '%04d' $RUN)"
 mkdir $RDIR
 
-papermill 'BOZ analysis part I parameters determination.ipynb' \
+papermill 'BOZ analysis part I.a Correction determination.ipynb' \
 	$RDIR/output.ipynb \
  -p proposal $PROPOSAL -p darkrun $DARK -p run $RUN -p module $MODULE \
  -p gain $GAIN -p rois_th $ROISTH -p sat_level $SATLEVEL -k xfel
-- 
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