diff --git a/notebooks/Jungfrau/Jungfrau_dark_analysis_all_gains_burst_mode_NBC.ipynb b/notebooks/Jungfrau/Jungfrau_dark_analysis_all_gains_burst_mode_NBC.ipynb
index 1b4530e295cd2f9f3adbc39939c87a7042f1c88e..273f01c7badceb5119f496a1875d3f6a8793e4d6 100644
--- a/notebooks/Jungfrau/Jungfrau_dark_analysis_all_gains_burst_mode_NBC.ipynb
+++ b/notebooks/Jungfrau/Jungfrau_dark_analysis_all_gains_burst_mode_NBC.ipynb
@@ -614,14 +614,15 @@
     "        with NamedTemporaryFile(dir=out_folder) as tempf:\n",
     "            ccv_root = write_ccv(\n",
     "                tempf.name,\n",
-    "                pdu,\n",
-    "                pdu_to_uuid[pdu],\n",
-    "                detector_info[\"detector_type\"],\n",
-    "                const_name,\n",
-    "                conditions,\n",
-    "                creation_time,\n",
-    "                proposal,[run_high, run_med, run_low],\n",
-    "                const_data,\n",
+    "                pdu_name=pdu,\n",
+    "                pdu_uuid=pdu_to_uuid[pdu],\n",
+    "                detector_type=detector_info[\"detector_type\"],\n",
+    "                calibration=const_name,\n",
+    "                conditions=conditions,\n",
+    "                created_at=creation_time,\n",
+    "                proposal=proposal,\n",
+    "                runs=[run_high, run_med, run_low],\n",
+    "                data=const_data,\n",
     "                dims=[\"fast_scan\", \"slow_scan\", \"cell\", \"gain\"],\n",
     "                deviations={\"integration_time\": time_limits},\n",
     "            )\n",
@@ -761,7 +762,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.8.10"
+   "version": "3.11.8"
   }
  },
  "nbformat": 4,