def ReduceArbitary(self):
#try:
WB,Runs=self.getRuns()
print Runs, type(Runs)
iliad_setup(self.shortname)
mapfile=str(self.ui.mapfile.text())
cal_file=self.shortname+WB+self.exten
if self.sumRunsCheck==True:
#sum runs
Load(Filename=Runs[0],OutputWorkspace='SummedWksp',Cache=r'Never',LoadLogFiles='0')
SummedWksp=mtd['SummedWksp']
for i in range(1,len(Runs)):
Load(Filename=Runs[i],OutputWorkspace='tmp',Cache=r'Never',LoadLogFiles='0')
tmp=mtd['tmp']
SummedWksp=SummedWksp+tmp
DeleteWorkspace('tmp')
#overwrite the runs list with 1 entry corresponding to the summed data
Runs=['SummedWksp']
for Run in Runs:
if self.AutoEi==True:
ei,rebin_params,self.BkgdRange=autoEi(str(Run),BkgdGen=True,monspecin=int(self.ui.MonSpecNumber.text()))
else:
ei=double(self.ui.EiGuess.text())
rebin_params=str(-ei*.5)+','+str(ei*(2.5e-3))+','+str(ei*.95)
#w1=iliad(WB,Run,ei,rebin_params,mapfile,det_cal_file=cal_file,norm_method='current')
if self.BkgSwitch==True:
w1=iliad(WB,str(Run),ei,rebin_params,mapfile,det_cal_file=cal_file,norm_method=self.Normalisation,save_format='',background=self.BkgSwitch,bkgd_range=self.BkgdRange)
RenameWorkspace(InputWorkspace='w1',OutputWorkspace=str(Run)+'reduced')
else:
w1=iliad(WB,str(Run),ei,rebin_params,mapfile,det_cal_file=cal_file,norm_method=self.Normalisation,save_format='')
RenameWorkspace(InputWorkspace='w1',OutputWorkspace=str(Run)+'reduced')
WkspOut=str(self.ui.outputWksp.text())
if len(WkspOut)>0:
RenameWorkspace(InputWorkspace=str(Run)+'reduced',OutputWorkspace=str(self.ui.outputWksp.text()))
else:
RenameWorkspace(InputWorkspace=str(Run)+'reduced',OutputWorkspace='mar'+str(Run)+'reduced')
String=':) Run '+str(Run)+' reduced successfully ei guess ='+str(ei)+'meV'+' data rebinned with Emin,deltaE,Emax of '+rebin_params
self.ui.ReduceOutput.addItem(String)
from qtiGenie import * from PySlice2 import * from autoEi import * inst='mar' iliad_setup(inst) ext='.raw' mapfile='mari_res2012' #det_cal_file must be specified if the reduction sends out put to a workpsace #cal_file='MAR17578.raw' cal_file='MAR18040.raw' #load vanadium file run='18249' WB='18040' ei,rebin_params=autoEi(str(run)) w1=iliad(WB,run,ei,rebin_params,mapfile,det_cal_file=cal_file,norm_method='current') run='18313' WB='18040' ei,rebin_params=autoEi(str(run)) w2=iliad(WB,run,ei,rebin_params,mapfile,det_cal_file=cal_file,norm_method='current',save_format='') run='18322' WB='18040' ei,rebin_params=autoEi(str(run)) w3=iliad(WB,run,ei,rebin_params,mapfile,det_cal_file=cal_file,norm_method='current',save_format='') run='18069' WB='18040' ei,rebin_params=autoEi(str(run))
inst = 'mar'
iliad_setup(inst)
ext = '.raw'
#mapfile='mari_res2012'
mapfile = 'mari_res2013'
#det_cal_file must be specified if the reduction sends out put to a workspace
#cal_file='MAR17578.raw'
cal_file = 'MAR18622.raw'
#load vanadium file
run = '17690'
WB = '18622'
ei, rebin_params, BkgdRange = autoEi(str(run),
BkgdGen=True,
monspecin=2,
BkgdLevel=.4)
print "ei = ", ei
print "rebin_params = ", rebin_params
#print "BkgdRange = ",BkgdRange,bkgd_range = BkgdRange
w1 = iliad(WB,
run,
ei,
rebin_params,
mapfile,
det_cal_file=cal_file,
norm_method='current',
bkgd_range=[14500, 18000])
def ReduceArbitary(self):
#try:
WB,Runs=self.getRuns()
print Runs, type(Runs)
if Runs=='current':
#get live data
StartLiveData(UpdateEvery='0',Instrument='MARI',AccumulationMethod="Replace", OutputWorkspace='CurrentRun')
Runs=['CurrentRun']
dgreduce.setup(self.shortname)
mapfile=str(self.ui.mapfile.text())
cal_file=self.shortname+WB+self.exten
if self.sumRunsCheck==True:
#sum runs
Load(Filename=Runs[0],OutputWorkspace='SummedWksp',Cache=r'Never',LoadLogFiles='0')
SummedWksp=mtd['SummedWksp']
for i in range(1,len(Runs)):
Load(Filename=Runs[i],OutputWorkspace='tmp',Cache=r'Never',LoadLogFiles='0')
tmp=mtd['tmp']
SummedWksp=SummedWksp+tmp
DeleteWorkspace('tmp')
#overwrite the runs list with 1 entry corresponding to the summed data
Runs=['SummedWksp']
for Run in Runs:
if self.AutoEi==True:
ei,rebin_params,self.BkgdRange=autoEi(str(Run),BkgdGen=True,monspecin=int(self.ui.MonSpecNumber.text()))
else:
ei=self.EiVal
deltaEi=(ei*.01)/20.0
rebin_params=str(-ei*.5)+','+str(deltaEi)+','+str(ei*.95)
#w1=iliad(WB,Run,ei,rebin_params,mapfile,det_cal_file=cal_file,norm_method='current')
if self.FixEi == True:
if self.BkgSwitch==True:
w1=iliad(WB,str(Run),ei,rebin_params,mapfile,det_cal_file=cal_file,fixei=True,norm_method=self.Normalisation,save_format='',background=self.BkgSwitch,bkgd_range=self.BkgdRange)
RenameWorkspace(InputWorkspace='w1',OutputWorkspace=str(Run)+'reduced')
else:
w1=iliad(WB,str(Run),ei,rebin_params,mapfile,det_cal_file=cal_file,norm_method=self.Normalisation,background=False,fixei=True,save_format='')
RenameWorkspace(InputWorkspace='w1',OutputWorkspace=str(Run)+'reduced')
else:
if self.BkgSwitch==True:
w1=iliad(WB,str(Run),ei,rebin_params,mapfile,det_cal_file=cal_file,norm_method=self.Normalisation,save_format='',background=self.BkgSwitch,bkgd_range=self.BkgdRange)
RenameWorkspace(InputWorkspace='w1',OutputWorkspace=str(Run)+'reduced')
else:
w1=iliad(WB,str(Run),ei,rebin_params,mapfile,det_cal_file=cal_file,background=False,norm_method=self.Normalisation,save_format='')
RenameWorkspace(InputWorkspace='w1',OutputWorkspace=str(Run)+'reduced')
WkspOut=str(self.ui.outputWksp.text())
if len(WkspOut)>0:
RenameWorkspace(InputWorkspace=str(Run)+'reduced',OutputWorkspace=str(self.ui.outputWksp.text()))
else:
RenameWorkspace(InputWorkspace=str(Run)+'reduced',OutputWorkspace='mar'+str(Run)+'reduced')
String=':) Run '+str(Run)+' reduced successfully ei guess ='+str(ei)+'meV'+' data rebinned with Emin,deltaE,Emax of '+rebin_params
self.ui.ReduceOutput.addItem(String)
def ReduceArbsolute(self):
#absolute normalisation will be preformed
#try:
WB,Runs=self.getRuns()
print Runs, type(Runs)
iliad_setup(self.shortname)
mapfile=str(self.ui.mapfile.text())
cal_file=self.shortname+WB+self.exten
monoWB=str(self.ui.DetVanNum_2.text())
MonoRun=str(self.ui.MonoRunNum.text())
sampleMass=double(self.ui.sampleMass.text())
RMMmass=double(self.ui.RMMmass.text())
monovan_mapfile=mapfile
if self.sumRunsCheck==True:
#sum runs
Load(Filename=Runs[0],OutputWorkspace='SummedWksp',Cache=r'Never',LoadLogFiles='0')
SummedWksp=mtd['SummedWksp']
for i in range(1,len(Runs)):
Load(Filename=Runs[i],OutputWorkspace='tmp',Cache=r'Never',LoadLogFiles='0')
tmp=mtd['tmp']
SummedWksp=SummedWksp+tmp
DeleteWorkspace('tmp')
#overwrite the runs list with 1 entry corresponding to the summed data
Runs=['SummedWksp']
for Run in Runs:
if self.AutoEi==True:
ei,rebin_params,self.BkgdRange=autoEi(str(Run),BkgdGen=True,monspecin=int(self.ui.MonSpecNumber.text()))
#set the absolute van integration range
tmp=rebin_params.split(',')
monovanreb=[tmp[0],tmp[2]]
else:
ei=self.EiVal
deltaEi=(ei*.01)/20.0
rebin_params=str(-ei*.5)+','+str(deltaEi)+','+str(ei*.95)
tmp=rebin_params.split(',')
monovanreb=[tmp[0],tmp[2]]
if self.FixEi == True:
if self.BkgSwitch==True:
w1=iliad_abs(str(WB),str(Run),str(MonoRun),str(monoWB),RMMmass,sampleMass,ei,rebin_params,mapfile,monovan_mapfile,det_cal_file=cal_file,fixei=True,norm_method=self.Normalisation,save_format='',abs_units_van_range=monovanreb,background=True,bkgd_range=self.BkgdRange)
RenameWorkspace(InputWorkspace='w1',OutputWorkspace=str(Run)+'reduced')
else:
w1=iliad_abs(WB,str(Run),MonoRun,monoWB,RMMmass,sampleMass,ei,rebin_params,mapfile,monovan_mapfile,det_cal_file=cal_file,background=False,fixei=True,norm_method=self.Normalisation,save_format='',abs_units_van_range=monovanreb)
RenameWorkspace(InputWorkspace='w1',OutputWorkspace=str(Run)+'reduced')
else:
if self.BkgSwitch==True:
w1=iliad_abs(str(WB),str(Run),str(MonoRun),str(monoWB),RMMmass,sampleMass,ei,rebin_params,mapfile,monovan_mapfile,det_cal_file=cal_file,norm_method=self.Normalisation,save_format='',abs_units_van_range=monovanreb,background=True,bkgd_range=self.BkgdRange)
RenameWorkspace(InputWorkspace='w1',OutputWorkspace=str(Run)+'reduced')
else:
w1=iliad_abs(WB,str(Run),MonoRun,monoWB,RMMmass,sampleMass,ei,rebin_params,mapfile,monovan_mapfile,det_cal_file=cal_file,background=False,norm_method=self.Normalisation,save_format='',abs_units_van_range=monovanreb)
RenameWorkspace(InputWorkspace='w1',OutputWorkspace=str(Run)+'reduced')
WkspOut=str(self.ui.outputWksp.text())
if len(WkspOut)>0:
RenameWorkspace(InputWorkspace=str(Run)+'reduced',OutputWorkspace=str(self.ui.outputWksp.text()))
else:
RenameWorkspace(InputWorkspace=str(Run)+'reduced',OutputWorkspace='mar'+str(Run)+'reduced')
String=':) Run '+str(Run)+' reduced with absolute normalisation successfully ei guess ='+str(ei)+'meV'+' data rebinned with Emin,deltaE,Emax of '+rebin_params
self.ui.ReduceOutput.addItem(String)
def ReduceArbsolute(self):
#absolute normalisation will be preformed
#try:
WB,Runs=self.getRuns()
print Runs, type(Runs)
iliad_setup(self.shortname)
mapfile=str(self.ui.mapfile.text())
cal_file=self.shortname+WB+self.exten
monoWB=str(self.ui.DetVanNum_2.text())
MonoRun=str(self.ui.MonoRunNum.text())
sampleMass=double(self.ui.sampleMass.text())
RMMmass=double(self.ui.RMMmass.text())
monovan_mapfile=mapfile
if self.sumRunsCheck==True:
#sum runs
Load(Filename=Runs[0],OutputWorkspace='SummedWksp',Cache=r'Never',LoadLogFiles='0')
SummedWksp=mtd['SummedWksp']
for i in range(1,len(Runs)):
Load(Filename=Runs[i],OutputWorkspace='tmp',Cache=r'Never',LoadLogFiles='0')
tmp=mtd['tmp']
SummedWksp=SummedWksp+tmp
DeleteWorkspace('tmp')
#overwrite the runs list with 1 entry corresponding to the summed data
Runs=['SummedWksp']
for Run in Runs:
if self.AutoEi==True:
ei,rebin_params,self.BkgdRange=autoEi(str(Run),BkgdGen=True,monspecin=int(self.ui.MonSpecNumber.text()))
#set the absolute van integration range
tmp=rebin_params.split(',')
monovanreb=[tmp[0],tmp[2]]
else:
ei=double(self.ui.EiGuess.text())
rebin_params=str(-ei*.5)+','+str(ei*(2.5e-3))+','+str(ei*.95)
tmp=rebin_params.split(',')
monovanreb=[tmp[0],tmp[2]]
if self.BkgSwitch==True:
w1=iliad_abs(str(WB),str(Run),str(MonoRun),str(monoWB),RMMmass,sampleMass,ei,rebin_params,mapfile,monovan_mapfile,det_cal_file=cal_file,norm_method=self.Normalisation,save_format='',abs_units_van_range=monovanreb,background=self.BkgSwitch,bkgd_range=self.BkgdRange)
RenameWorkspace(InputWorkspace='w1',OutputWorkspace=str(Run)+'reduced')
else:
w1=iliad_abs(WB,str(Run),MonoRun,monoWB,RMMmass,sampleMass,ei,rebin_params,mapfile,monovan_mapfile,det_cal_file=cal_file,norm_method=self.Normalisation,save_format='',abs_units_van_range=monovanreb)
RenameWorkspace(InputWorkspace='w1',OutputWorkspace=str(Run)+'reduced')
WkspOut=str(self.ui.outputWksp.text())
if len(WkspOut)>0:
RenameWorkspace(InputWorkspace=str(Run)+'reduced',OutputWorkspace=str(self.ui.outputWksp.text()))
else:
RenameWorkspace(InputWorkspace=str(Run)+'reduced',OutputWorkspace='mar'+str(Run)+'reduced')
String=':) Run '+str(Run)+' reduced with absolute normalisation successfully ei guess ='+str(ei)+'meV'+' data rebinned with Emin,deltaE,Emax of '+rebin_params
self.ui.ReduceOutput.addItem(String)
def ReduceArbitary(self):
# try:
WB, Runs = self.getRuns()
print Runs, type(Runs)
if Runs == "current":
# get live data
StartLiveData(
UpdateEvery="0", Instrument="MARI", AccumulationMethod="Replace", OutputWorkspace="CurrentRun"
)
Runs = ["CurrentRun"]
dgreduce.setup(self.shortname)
mapfile = str(self.ui.mapfile.text())
cal_file = self.shortname + WB + self.exten
if self.sumRunsCheck == True:
# sum runs
Load(Filename=Runs[0], OutputWorkspace="SummedWksp", Cache=r"Never", LoadLogFiles="0")
SummedWksp = mtd["SummedWksp"]
for i in range(1, len(Runs)):
Load(Filename=Runs[i], OutputWorkspace="tmp", Cache=r"Never", LoadLogFiles="0")
tmp = mtd["tmp"]
SummedWksp = SummedWksp + tmp
DeleteWorkspace("tmp")
# overwrite the runs list with 1 entry corresponding to the summed data
Runs = ["SummedWksp"]
for Run in Runs:
if self.AutoEi == True:
ei, rebin_params, self.BkgdRange = autoEi(
str(Run), BkgdGen=True, monspecin=int(self.ui.MonSpecNumber.text())
)
else:
ei = self.EiVal
deltaEi = (ei * 0.01) / 20.0
rebin_params = str(-ei * 0.5) + "," + str(deltaEi) + "," + str(ei * 0.95)
# w1=iliad(WB,Run,ei,rebin_params,mapfile,det_cal_file=cal_file,norm_method='current')
if self.FixEi == True:
if self.BkgSwitch == True:
w1 = iliad(
WB,
str(Run),
ei,
rebin_params,
mapfile,
det_cal_file=cal_file,
fixei=True,
norm_method=self.Normalisation,
save_format="",
background=self.BkgSwitch,
bkgd_range=self.BkgdRange,
)
RenameWorkspace(InputWorkspace="w1", OutputWorkspace=str(Run) + "reduced")
else:
w1 = iliad(
WB,
str(Run),
ei,
rebin_params,
mapfile,
det_cal_file=cal_file,
norm_method=self.Normalisation,
background=False,
fixei=True,
save_format="",
)
RenameWorkspace(InputWorkspace="w1", OutputWorkspace=str(Run) + "reduced")
else:
if self.BkgSwitch == True:
w1 = iliad(
WB,
str(Run),
ei,
rebin_params,
mapfile,
det_cal_file=cal_file,
norm_method=self.Normalisation,
save_format="",
background=self.BkgSwitch,
bkgd_range=self.BkgdRange,
)
RenameWorkspace(InputWorkspace="w1", OutputWorkspace=str(Run) + "reduced")
else:
w1 = iliad(
WB,
str(Run),
ei,
rebin_params,
mapfile,
det_cal_file=cal_file,
background=False,
norm_method=self.Normalisation,
save_format="",
)
RenameWorkspace(InputWorkspace="w1", OutputWorkspace=str(Run) + "reduced")
WkspOut = str(self.ui.outputWksp.text())
if len(WkspOut) > 0:
RenameWorkspace(InputWorkspace=str(Run) + "reduced", OutputWorkspace=str(self.ui.outputWksp.text()))
else:
RenameWorkspace(InputWorkspace=str(Run) + "reduced", OutputWorkspace="mar" + str(Run) + "reduced")
String = (
":) Run "
+ str(Run)
+ " reduced successfully ei guess ="
+ str(ei)
+ "meV"
+ " data rebinned with Emin,deltaE,Emax of "
+ rebin_params
)
self.ui.ReduceOutput.addItem(String)
def ReduceArbsolute(self):
# absolute normalisation will be preformed
# try:
WB, Runs = self.getRuns()
print Runs, type(Runs)
iliad_setup(self.shortname)
mapfile = str(self.ui.mapfile.text())
cal_file = self.shortname + WB + self.exten
monoWB = str(self.ui.DetVanNum_2.text())
MonoRun = str(self.ui.MonoRunNum.text())
sampleMass = double(self.ui.sampleMass.text())
RMMmass = double(self.ui.RMMmass.text())
monovan_mapfile = mapfile
if self.sumRunsCheck == True:
# sum runs
Load(Filename=Runs[0], OutputWorkspace="SummedWksp", Cache=r"Never", LoadLogFiles="0")
SummedWksp = mtd["SummedWksp"]
for i in range(1, len(Runs)):
Load(Filename=Runs[i], OutputWorkspace="tmp", Cache=r"Never", LoadLogFiles="0")
tmp = mtd["tmp"]
SummedWksp = SummedWksp + tmp
DeleteWorkspace("tmp")
# overwrite the runs list with 1 entry corresponding to the summed data
Runs = ["SummedWksp"]
for Run in Runs:
if self.AutoEi == True:
ei, rebin_params, self.BkgdRange = autoEi(
str(Run), BkgdGen=True, monspecin=int(self.ui.MonSpecNumber.text())
)
# set the absolute van integration range
tmp = rebin_params.split(",")
monovanreb = [tmp[0], tmp[2]]
else:
ei = self.EiVal
deltaEi = (ei * 0.01) / 20.0
rebin_params = str(-ei * 0.5) + "," + str(deltaEi) + "," + str(ei * 0.95)
tmp = rebin_params.split(",")
monovanreb = [tmp[0], tmp[2]]
if self.FixEi == True:
if self.BkgSwitch == True:
w1 = iliad_abs(
str(WB),
str(Run),
str(MonoRun),
str(monoWB),
RMMmass,
sampleMass,
ei,
rebin_params,
mapfile,
monovan_mapfile,
det_cal_file=cal_file,
fixei=True,
norm_method=self.Normalisation,
save_format="",
abs_units_van_range=monovanreb,
background=True,
bkgd_range=self.BkgdRange,
)
RenameWorkspace(InputWorkspace="w1", OutputWorkspace=str(Run) + "reduced")
else:
w1 = iliad_abs(
WB,
str(Run),
MonoRun,
monoWB,
RMMmass,
sampleMass,
ei,
rebin_params,
mapfile,
monovan_mapfile,
det_cal_file=cal_file,
background=False,
fixei=True,
norm_method=self.Normalisation,
save_format="",
abs_units_van_range=monovanreb,
)
RenameWorkspace(InputWorkspace="w1", OutputWorkspace=str(Run) + "reduced")
else:
if self.BkgSwitch == True:
w1 = iliad_abs(
str(WB),
str(Run),
str(MonoRun),
str(monoWB),
RMMmass,
sampleMass,
ei,
rebin_params,
mapfile,
monovan_mapfile,
det_cal_file=cal_file,
norm_method=self.Normalisation,
save_format="",
abs_units_van_range=monovanreb,
background=True,
bkgd_range=self.BkgdRange,
)
RenameWorkspace(InputWorkspace="w1", OutputWorkspace=str(Run) + "reduced")
else:
w1 = iliad_abs(
WB,
str(Run),
MonoRun,
monoWB,
RMMmass,
sampleMass,
ei,
rebin_params,
mapfile,
monovan_mapfile,
det_cal_file=cal_file,
background=False,
norm_method=self.Normalisation,
save_format="",
abs_units_van_range=monovanreb,
)
RenameWorkspace(InputWorkspace="w1", OutputWorkspace=str(Run) + "reduced")
WkspOut = str(self.ui.outputWksp.text())
if len(WkspOut) > 0:
RenameWorkspace(InputWorkspace=str(Run) + "reduced", OutputWorkspace=str(self.ui.outputWksp.text()))
else:
RenameWorkspace(InputWorkspace=str(Run) + "reduced", OutputWorkspace="mar" + str(Run) + "reduced")
String = (
":) Run "
+ str(Run)
+ " reduced with absolute normalisation successfully ei guess ="
+ str(ei)
+ "meV"
+ " data rebinned with Emin,deltaE,Emax of "
+ rebin_params
)
self.ui.ReduceOutput.addItem(String)
#mono_sample.prop_man.sum_runs = True #mono_sample.prop_man.save_file_name = r'MAR11001.spe' #mono_sample.convert_to_energy(r'd:\Data\MantidSystemTests\Data\MAR11060.raw', [r'MAR11001.raw'], 12, None, None, [r'd:\Data\MantidSystemTests\Data\MAR11015.raw'], None) from qtiGenie import * from PySlice2 import * from autoEi import * inst='mar' iliad_setup(inst) ext='.raw' #mapfile='mari_res2012' mapfile='mari_res2013' #det_cal_file must be specified if the reduction sends out put to a workspace #cal_file='MAR17578.raw' cal_file='MAR18622.raw' #load vanadium file run='17690' WB='18622' ei,rebin_params,BkgdRange=autoEi(str(run),BkgdGen=True,monspecin=2,BkgdLevel=.4) print "ei = ",ei print "rebin_params = ",rebin_params #print "BkgdRange = ",BkgdRange,bkgd_range = BkgdRange w1=iliad(WB,run,ei,rebin_params,mapfile,det_cal_file=cal_file,norm_method='current',bkgd_range = [14500,18000])