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VisionReduction.py
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# Mantid Repository : https://github.com/mantidproject/mantid
#
# Copyright © 2018 ISIS Rutherford Appleton Laboratory UKRI,
# NScD Oak Ridge National Laboratory, European Spallation Source,
# Institut Laue - Langevin & CSNS, Institute of High Energy Physics, CAS
# SPDX - License - Identifier: GPL - 3.0 +
#pylint: disable=no-init,invalid-name
#from mantid.api import AlgorithmFactory
#from mantid.simpleapi import PythonAlgorithm, WorkspaceProperty
# from mantid.kernel import Direction
from mantid.api import *
from mantid.kernel import *
from mantid.simpleapi import *
import csv
import os
from string import ascii_letters, digits # pylint: disable=deprecated-module
######################################################################
# Remove artifacts such as prompt pulse
######################################################################
def RemoveArtifact(WS,Xmin,Xmax,Xa,Delta):
CropWorkspace(InputWorkspace=WS,OutputWorkspace='__aux0',XMin=str(Xmin),XMax=str(Xa))
CropWorkspace(InputWorkspace=WS,OutputWorkspace='__aux3',XMin=str(Xa+Delta),XMax=str(Xmax))
CropWorkspace(InputWorkspace=WS,OutputWorkspace='__aux1',XMin=str(Xa-Delta),XMax=str(Xa))
CropWorkspace(InputWorkspace=WS,OutputWorkspace='__aux2',XMin=str(Xa+Delta),XMax=str(Xa+2*Delta ) )
ScaleX(InputWorkspace='__aux1',OutputWorkspace='__aux1',Factor=str(Delta),Operation='Add')
ScaleX(InputWorkspace='__aux2',OutputWorkspace='__aux2',Factor=str(-Delta),Operation='Add')
Scale(InputWorkspace='__aux1',OutputWorkspace='__aux1',Factor='0.5',Operation='Multiply')
Scale(InputWorkspace='__aux2',OutputWorkspace='__aux2',Factor='0.5',Operation='Multiply')
Plus(LHSWorkspace='__aux0',RHSWorkspace='__aux1',OutputWorkspace=WS)
Plus(LHSWorkspace=WS,RHSWorkspace='__aux2',OutputWorkspace=WS)
Plus(LHSWorkspace=WS,RHSWorkspace='__aux3',OutputWorkspace=WS)
class VisionReduction(PythonAlgorithm):
__CalFile='/SNS/VIS/shared/autoreduce/VIS_CalTab-03-03-2014.csv'
__MonFile = '/SNS/VIS/shared/autoreduce/VIS_5447-5450_MonitorL-corrected-hist.nxs'
# Pixels to be reduced
ListPX = []
ListPXF = []
ListPXB = []
# Binning parameters
#binT='10,1,33333'
binL='0.281,0.0002,8.199'
binE='-2,0.005,5,-0.001,1000'
def FormatFilename(self,s):
valid_chars = "-_.() %s%s" % (ascii_letters, digits)
outfilename = ''.join(c for c in s if c in valid_chars)
outfilename = outfilename.replace(' ','_')
return outfilename
def category(self):
return "Workflow\\Inelastic;Utility\\Development"
def name(self):
return "VisionReduction"
def summary(self):
return "This algorithm reduces the inelastic detectors on VISION. ** Under Development **"
def PyInit(self):
self.declareProperty(FileProperty("Filename", "", action=FileAction.Load, extensions=[".nxs.h5"]))
self.declareProperty(WorkspaceProperty("OutputWorkspace", "", direction=Direction.Output))
#pylint: disable=too-many-locals
def PyExec(self):
NexusFile = self.getProperty("Filename").value
FileName = NexusFile.split(os.sep)[-1]
#IPTS = NexusFile.split(os.sep)[-3]
RunNumber = int(FileName.strip('VIS_').replace('.nxs.h5',''))
#*********************************************************************
#*********************************************************************
#*********************************************************************
# Banks to be reduced
BanksForward=[2,3,4,5,6]
BanksBackward=[8,9,10,11,12,13,14]
Banks=BanksForward+BanksBackward
#*********************************************************************
#*********************************************************************
PXs=list(range(2*128+48,2*128+80))+ \
list(range(3*128+32,3*128+96))+ \
list(range(4*128+32,4*128+96))+ \
list(range(5*128+48,5*128+80))
for i in BanksForward:
offset=(i-1)*1024
self.ListPX=self.ListPX+[j+offset for j in PXs]
self.ListPXF=self.ListPXF+[j+offset for j in PXs]
for i in BanksBackward:
offset=(i-1)*1024
self.ListPX=self.ListPX+[j+offset for j in PXs]
self.ListPXB=self.ListPXB+[j+offset for j in PXs]
# Create a list of pixels to mask
# Inelastic Pixels = 0-14335
allPixels = set(range(14336))
toKeep = set(self.ListPX)
mask = allPixels.difference(toKeep)
MaskPX = list(mask)
# Read calibration table
CalTab = [[0 for _ in range(2)] for _ in range(1024*14)]
tab = list(csv.reader(open(self.__CalFile,'r')))
for i in range(0,len(tab)):
for j in [0,1]:
tab[i][j]=int(tab[i][j])
for j in [2,3]:
tab[i][j]=float(tab[i][j])
j=(tab[i][0]-1)*1024+tab[i][1]
CalTab[j][0]=tab[i][2]
CalTab[j][1]=tab[i][3]
logger.information('Loading inelastic banks from {}'.format(NexusFile))
bank_list = ["bank%d" % i for i in range(1, 15)]
bank_property = ",".join(bank_list)
LoadEventNexus(Filename=NexusFile, BankName=bank_property, OutputWorkspace='__IED_T', LoadMonitors='0')
LoadInstrument(Workspace='__IED_T',Filename='/SNS/VIS/shared/autoreduce/VISION_Definition_no_efixed.xml',RewriteSpectraMap=True)
MaskDetectors(Workspace='__IED_T', DetectorList=MaskPX)
logger.information('Title: {}'.format(mtd['__IED_T'].getTitle()))
logger.information('Proton charge: {}'.format(mtd['__IED_T'].getRun().getProtonCharge()))
if "Temperature" in mtd['__IED_T'].getTitle():
logger.error('Error: Non-equilibrium runs will not be reduced')
# sys.exit()
if mtd['__IED_T'].getRun().getProtonCharge() < 5.0:
logger.error('Error: Proton charge is too low')
# sys.exit()
NormaliseByCurrent(InputWorkspace='__IED_T',OutputWorkspace='__IED_T')
RemoveArtifact('__IED_T',10,33333,16660,240)
LoadNexusProcessed(Filename=self.__MonFile,OutputWorkspace='__DBM_L',LoadHistory=False)
for i,Pixel in enumerate(self.ListPX):
Ef=CalTab[Pixel][0]
Df=CalTab[Pixel][1]
Efe=(0.7317/Df)**2*Ef
mtd['__IED_T'].setEFixed(Pixel, Efe)
ConvertUnits(InputWorkspace='__IED_T',OutputWorkspace='__IED_L',EMode='Indirect',Target='Wavelength')
Rebin(InputWorkspace='__IED_L',OutputWorkspace='__IED_L',Params=self.binL,PreserveEvents='0')
InterpolatingRebin(InputWorkspace='__DBM_L',OutputWorkspace='__DBM_L',Params=self.binL)
#RebinToWorkspace(WorkspaceToRebin='__DBM_L',WorkspaceToMatch='__IED_L',OutputWorkspace='__DBM_L')
Divide(LHSWorkspace='__IED_L',RHSWorkspace='__DBM_L',OutputWorkspace='__IED_L')
for i,Pixel in enumerate(self.ListPX):
Ef=CalTab[Pixel][0]
mtd['__IED_L'].setEFixed(Pixel, Ef)
ConvertUnits(InputWorkspace='__IED_L',OutputWorkspace='__IED_E',EMode='Indirect',Target='DeltaE')
Rebin(InputWorkspace='__IED_E',OutputWorkspace='__IED_E',Params=self.binE,PreserveEvents='0',IgnoreBinErrors=True)
CorrectKiKf(InputWorkspace='__IED_E',OutputWorkspace='__IED_E',EMode='Indirect')
GroupDetectors(InputWorkspace='__IED_E',OutputWorkspace='__IED_E_Forward',DetectorList=self.ListPXF)
GroupDetectors(InputWorkspace='__IED_E',OutputWorkspace='__IED_E_Backward',DetectorList=self.ListPXB)
GroupDetectors(InputWorkspace='__IED_E',OutputWorkspace='__IED_E_Average',DetectorList=self.ListPX)
Scale(InputWorkspace='__IED_E_Forward',OutputWorkspace='__IED_E_Forward',Factor=str(1.0/len(BanksForward)),Operation='Multiply')
Scale(InputWorkspace='__IED_E_Backward',OutputWorkspace='__IED_E_Backward',Factor=str(1.0/len(BanksBackward)),Operation='Multiply')
Scale(InputWorkspace='__IED_E_Average',OutputWorkspace='__IED_E_Average',Factor=str(1.0/len(Banks)),Operation='Multiply')
AppendSpectra(InputWorkspace1='__IED_E_Backward',InputWorkspace2='__IED_E_Forward',OutputWorkspace='__IED_reduced')
AppendSpectra(InputWorkspace1='__IED_reduced',InputWorkspace2='__IED_E_Average',OutputWorkspace='__IED_reduced')
Title = mtd['__IED_reduced'].getTitle()
Note = Title.split('>')[0]
Note = self.FormatFilename(Note)
INS = str(RunNumber)+'_'+Note
ws = Scale(InputWorkspace='__IED_reduced',OutputWorkspace=INS,Factor='500',Operation='Multiply')
mtd[INS].setYUnitLabel('Normalized intensity')
RemoveLogs(INS)
RemoveWorkspaceHistory(INS)
self.setProperty("OutputWorkspace", ws)
DeleteWorkspace(INS)
# Register
AlgorithmFactory.subscribe(VisionReduction)