cache reference result in Amor simple notebook to avoid computing it many times

Author: nvaytet

docs/user-guide/amor/amor-reduction.ipynb

@@ -84,7 +84,10 @@
     "## Setting the reference run\n",
     "\n",
     "The reference represents the intensity reflected by the super-mirror.\n",
-    "The same run is used for normalizing all sample runs."
+    "The same run is used for normalizing all sample runs,\n",
+    "and it thus only needs to be reduced once.\n",
+    "\n",
+    "In this subsection, we reduce the reference run and cache it onto the workflow to speed-up subsequent processing."
    ]
   },
   {
@@ -96,7 +99,10 @@
     "workflow[Filename[ReferenceRun]] = amor.data.amor_run(614)\n",
     "\n",
     "# The sample rotation value in the file is slightly off, so we set it manually\n",
-    "workflow[SampleRotationOffset[ReferenceRun]] = sc.scalar(0.05, unit='deg')"
+    "workflow[SampleRotationOffset[ReferenceRun]] = sc.scalar(0.05, unit='deg')\n",
+    "\n",
+    "# Set the result back onto the pipeline to cache it\n",
+    "workflow[ReducedReference] = workflow.compute(ReducedReference)"
    ]
   },
   {