From 83ce167635141edbe206a602e2c4f1ff48bc0a6d Mon Sep 17 00:00:00 2001
From: ahmedk <karim.ahmed@xfel.eu>
Date: Thu, 13 Apr 2023 11:45:15 +0200
Subject: [PATCH] unpushed change for using st_modno
---
.../Jungfrau/Jungfrau_Gain_Correct_and_Verify_NBC.ipynb | 8 ++++++--
1 file changed, 6 insertions(+), 2 deletions(-)
diff --git a/notebooks/Jungfrau/Jungfrau_Gain_Correct_and_Verify_NBC.ipynb b/notebooks/Jungfrau/Jungfrau_Gain_Correct_and_Verify_NBC.ipynb
index 466589430..7c73286e3 100644
--- a/notebooks/Jungfrau/Jungfrau_Gain_Correct_and_Verify_NBC.ipynb
+++ b/notebooks/Jungfrau/Jungfrau_Gain_Correct_and_Verify_NBC.ipynb
@@ -73,6 +73,7 @@
"outputs": [],
"source": [
"import fnmatch\n",
+ "import multiprocessing\n",
"import sys\n",
"import warnings\n",
"from logging import warning\n",
@@ -662,6 +663,7 @@
"# Positions are given in pixels\n",
"mod_width = (256 * 4) + (2 * 3) # inc. 2px gaps between tiles\n",
"mod_height = (256 * 2) + 2\n",
+ "st_modno = 1\n",
"if karabo_id == \"SPB_IRDA_JF4M\":\n",
" # The first 4 modules are rotated 180 degrees relative to the others.\n",
" # We pass the bottom, beam-right corner of the module regardless of its\n",
@@ -684,6 +686,8 @@
" module_pos = ((-mod_width//2,-mod_height//2),)\n",
" orientations = None\n",
" nmods = 1\n",
+ " if karabo_id == \"FXE_XAD_JF500K\":\n",
+ " st_modno = 3\n",
"\n",
"geom = JUNGFRAUGeometry.from_module_positions(module_pos, orientations=orientations, asic_gap=0)"
]
@@ -703,7 +707,7 @@
" # Reading CORR data for plotting.\n",
" jf_corr = components.JUNGFRAU(\n",
" corr_dc,\n",
- " detector_name=karabo_id, n_modules=nmods,\n",
+ " detector_name=karabo_id, n_modules=nmods, st_modno=st_modno,\n",
" ).select_trains(np.s_[:plot_trains])\n",
" tid, jf_corr_data = next(iter(jf_corr.trains(require_all=True)))\n",
"\n",
@@ -723,7 +727,7 @@
"\n",
" # Reading RAW data for plotting.\n",
" jf_raw = components.JUNGFRAU(\n",
- " raw_dc, detector_name=karabo_id, n_modules=nmods).select_trains(\n",
+ " raw_dc, detector_name=karabo_id, n_modules=nmods, st_modno=st_modno).select_trains(\n",
" np.s_[:plot_trains]\n",
" )\n",
"\n",
--
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