-
Notifications
You must be signed in to change notification settings - Fork 122
/
VisionReduction.py
190 lines (153 loc) · 8.67 KB
/
VisionReduction.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
# 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)