Merge pull request #23004 from mantidproject/23002_IndirectElwinNormalize

Indirect - Data Analysis - Normalize by lowest temperature in ElasticWindowMultiple

Framework/PythonInterface/plugins/algorithms/WorkflowAlgorithms/ElasticWindowMultiple.py

@@ -4,8 +4,6 @@ from mantid.simpleapi import AppendSpectra, CloneWorkspace, ElasticWindow, LoadL
 from mantid.kernel import *
 from mantid.api import *
 
-import numpy as np
-
 
 def _normalize_by_index(workspace, index):
     """
@@ -210,7 +208,7 @@ class ElasticWindowMultiple(DataProcessorAlgorithm):
                 elt_workspace = CloneWorkspace(InputWorkspace=elf_workspace, OutputWorkspace="__cloned",
                                                StoreInADS=False, EnableLogging=False)
 
-            _normalize_by_index(elt_workspace, np.argmin(sample_param))
+            _normalize_by_index(elt_workspace, 0)
 
             self.setProperty('OutputELT', elt_workspace)
 

docs/source/release/v3.13.0/indirect_inelastic.rst

@@ -69,4 +69,4 @@ Bugfixes
 - The MSDFit algorithm now uses the fully specified model given in the interface; previously MSDFit only used the
   model specified in the 'Fit Type' drop-down menu.
 - Fixed a failure in the wavelength interpolation of :ref:`MonteCarloAbsorption <algm-MonteCarloAbsorption>` which occurred under certain input property combinations.
-
+- The ElasticWindowMultiple algorithm now normalizes the \*_elt workspace by the lowest temperature.