def process(self, cut):
configMgr.analysisName = "MonoJet_"+str(cut)+"GeV"
in_file_path = "data/"+configMgr.analysisName+".root"
configMgr.histBackupCacheFile = "data/"+configMgr.analysisName+"_template.root"
configMgr.outputFileName = "results/%s_Output.root"%configMgr.analysisName
# define unnecessary cuts
configMgr.cutsDict["SR"] = "1."
configMgr.cutsDict["WMUNU"] = "1."
configMgr.cutsDict["WENU"] = "1."
configMgr.cutsDict["ZMM"] = "1."
configMgr.weights = "1."
yield_mgr = SampleHist(cut)
# get systematics
yield_mgr.create_common_sys()
# create MC samples
yield_mgr.create_samples()
# define background-only
bkg = configMgr.addFitConfig("BkgOnly")
if self.use_stat:
bkg.statErrThreshold = 0.05
else:
bkg.statErrThreshold = None
all_samples = yield_mgr.bkg_samples[:]
all_samples.append(yield_mgr.data_sample)
bkg.addSamples(all_samples)
meas = bkg.addMeasurement(name="Normal", lumi=1.0, lumiErr=0.039)
meas.addPOI("mu")
meas.addParamSetting("Lumi", True, 1)
constraint_chan = []
for region in regions:
if "SR" in region:
continue
cstr_ch = bkg.addChannel("cuts", [region], 1, 0.5,1.5)
cstr_ch.minY = 1e-4
cstr_ch.maxY = 400
constraint_chan.append(cstr_ch)
bkg.setBkgConstrainChannels(constraint_chan)
#Discovery
if myFitType == FitType.Discovery:
discovery = configMgr.addFitConfigClone(bkg, "Discovery")
discovery.addSamples(yield_mgr.signal_sample)
discovery.setSignalSample(yield_mgr.signal_sample)
sig_channel = discovery.addChannel("cuts",["SR"], 1, 0.5, 1.5)
sig_channel.minY = 1e-4
sig_channel.maxY = 2500
discovery.setSignalChannels([sig_channel])
if myFitType == FitType.Exclusion:
print "In exclusion mode"
exclusion = configMgr.addFitConfigClone(bkg, "Exclusion")
exclusion.addSamples(yield_mgr.signal_sample)
exclusion.setSignalSample(yield_mgr.signal_sample)
sig_channel = exclusion.addChannel("cuts",["SR"], 1, 0.5, 1.5)
sig_channel.minY = 1e-4
sig_channel.maxY = 2500
exclusion.setSignalChannels([sig_channel])
if configMgr.executeHistFactory:
pass
# ------------------------------------------------------------------------------
# Configure exclusion fits
if myFitType == FitType.Exclusion:
print 'Setting up exclusion fit!'
# sig_sample_list=['sig_100', 'sig_200', 'sig_300', 'sig_400', 'sig_500',
# 'sig_600', 'sig_700', 'sig_800', 'sig_900', 'sig_1000']
sig_sample_list=['sig_400', 'sig_500', 'sig_600', 'sig_700', 'sig_800',
'sig_900', 'sig_1000', 'sig_1100']
# sig_sample_list=['sig_900']
sig_samples = []
for sig in sig_sample_list:
print 'setting up signal sample: ', sig
exclusion_sr_config = configMgr.addFitConfigClone(background_config,
"Sig_excl_%s" % sig)
sig_sample = Sample(sig, kViolet+5)
sig_sample.setStatConfig(use_stat)
sig_sample.setFileList(sig_files)
sig_sample.setNormByTheory()
sig_sample.setNormFactor("mu_SIG", 1., 0., 5.)
sig_sample.weights = [nominal_weight_sig]
# add baseline systematics to signal samples
addSystematic([sig_sample],
(btag_sf_uncert_sig_list +
jes_uncert_list +
[jer_uncert]))
if myFitType == FitType.Exclusion:
points = []
try:
sigSamples
except NameError:
sigSamples = None
for sid in sigSamples:
m3, mu = sid.split('_')
points.append((int(m3), int(mu)))
for (m3, mu) in points:
print "Adding fit config for sample (%d, %d)" % (m3, mu)
exclfit = configMgr.addFitConfigClone(fitconfig, "GGM_M3_mu_%d_%d" % (m3, mu))
sigSample = Sample("GGM_M3_mu_%d_%d" % (m3, mu), ROOT.kOrange+3)
sigSample.setNormByTheory()
sigSample.setStatConfig(useStat)
sigSample.setNormFactor("mu_SIG", 1., 0., 5.)
if do_signal_theory_unc:
configMgr.fixSigXSec = True
sigSample.addSystematic(sigXsec) #--- Special uncertainty. Theory variations (creates extra files)
exclfit.addSamples(sigSample)
exclfit.setSignalSample(sigSample)
exclfit.setSignalChannels(signal_channels)
#read the line
fName = aLine.split()[0]
sigName = ssUtil.guessSampleType(fName)
if (not sigName):
print "Cannot infer signal type from file name, skipping " + sigfName
continue
print "Add fitConfig for " + sigName
for cutVal in tarCutVals:
cutValStr = str(cutVal).replace('.', 'd')
for dm in tarDms:
for ch in tarChs:
cutName = "SR_%s_dm%s_Cut%s" % (ch, dm, cutValStr)
aSigExclusionFitConfig = configMgr.addFitConfigClone(
exclusionFitConfig, "Exclusion_%s_%s_dm%s_%s" %
(sigName, ch, dm, cutValStr))
srBin = aSigExclusionFitConfig.addChannel(
"cuts", [cutName], 1, 0.5, 1.5)
aSigExclusionFitConfig.addSignalChannels([srBin])
#aSigExclusionFitConfig.setSignalChannels([srnonISRBin, srISRBin])
sigSample = Sample(sigName, kCyan)
sigSample.setFileList([fName])
sigSample.setNormByTheory()
sigSample.setNormFactor("mu_SIG", 1., 0., 5.)
#set PRW off and overrides configMgr.weights
#sigWeights = ("ElSF","MuSF", "BtagSF","weight","1.0", "mcEvtW")
mm2Jl.addSystematic(jes)
# bkt.setValidationChannels([nJetSLVR2,metSLVR2,meffSLVR2,nBJetSLVR2,metmeffSLVR2,mm2J,srs1l2jTChannel])
bkt.setValidationChannels([nJetSLVR2,srs1l2jTChannel,mm2J,mm2Jl])
dataSample.buildHisto([0.,1.,6.,16.,3.,0.],"SS","metmeff2Jet",0.1,0.1)
dataSample.buildHisto([25.],"SR1sl2j","cuts",0.5)
dataSample.buildHisto([1.,6.,24.,37.,7.,0.],"SSloose","metmeff2Jet",0.1,0.1)
dataSample.buildHisto([403.,202.,93.,39.,11.,10.,4.,1.],"SLVR2","nJet",2)
#**************
# Discovery fit
#**************
if myFitType==FitType.Discovery:
discovery = configMgr.addFitConfigClone(bkt,"Discovery")
# s1l2jT = signal region/channel
ssChannel = discovery.addChannel("cuts",["SS"],srNBins,srBinLow,srBinHigh)
ssChannel.addSystematic(jes)
ssChannel.addDiscoverySamples(["SS"],[1.],[0.],[100.],[kMagenta])
discovery.setSignalChannels([ssChannel])
dataSample.buildHisto([26.],"SS","cuts",0.5)
#-----------------------------
# Exclusion fits (1-step simplified model in this case)
#-----------------------------
if myFitType==FitType.Exclusion:
sigSamples=["SM_GG_onestepCC_425_385_345"]
dataSample.buildHisto([1.,6.,16.,3.,0.],"SS","metmeff2Jet",0.2,0.1)
return counter
# ---------------------------------------------------------------- #
# Now add the channels
srCounter = addSR("cuts", channels, srCounter, srs, crList, 1, 0.5, 1.5)
tlx.setSignalChannels(srList)
userPrint("Setting up signal [END]")
# ---------------------------------------------------------------- #
doToys = userOpts.doToys
hasHippo = doToys and 'hippo' in userOpts.gridForToys
hasSig = doToys and signame in userOpts.gridForToys
if not doToys or hasHippo or hasSig:
exclusion = configMgr.addFitConfigClone(tlx,'TopLvlXML_Exclusion_%s'%s)
print '!!!--- in LOOP ', s
sigSample = Sample(s, kRed)
sigSample.setStatConfig(useStat)
if userOpts.splitMCSys:
sigSample.addSystematic(sysObj.AR_mcstat_SIG)
sigUncert = userOpts.sigUncert
sigSample.setFileList([userOpts.sigFile])
if sigUncert == "up":
sigSample.setWeights(("eventweight","syst_XSUP","1.0"))
elif sigUncert == "down":
sigSample.setWeights(("eventweight","syst_XSDOWN","1.0"))
# TODO
sigSample.addSystematic(sysObj.AR_all_JES_MC)
## Discovery fit
#discovery = configMgr.adFitConfigClone(bkgOnly,"SimpleChannel_Discovery")
#discovery.clearSystematics()
#sigSample = Sample("discoveryMode",kBlue)
#sigSample.setNormFactor("mu_SIG",1.0, 0.0, 5.0)
#sigSample.setNormByTheory()
#discovery.addSamples(sigSample)
#discovery.setSignalSample(sigSample)
## Exclusion fits (MSUGRA grid)
#sigSamples=["SU_180_360_0_10","SU_580_240_0_10","SU_740_330_0_10","SU_900_420_0_10","SU_1300_210_0_10"]
sigSamples = ["SU_680_310_0_10","SU_440_145_0_10","SU_200_160_0_10","SU_440_340_0_10","SU_440_100_0_10","SU_120_130_0_10","SU_600_280_0_10","SU_320_115_0_10","SU_360_175_0_10","SU_920_310_0_10","SU_280_205_0_10","SU_1080_340_0_10","SU_40_280_0_10","SU_760_160_0_10","SU_200_115_0_10","SU_280_280_0_10","SU_40_160_0_10","SU_520_280_0_10","SU_120_220_0_10","SU_680_220_0_10","SU_40_115_0_10","SU_920_190_0_10","SU_320_130_0_10","SU_440_280_0_10","SU_360_100_0_10","SU_120_160_0_10","SU_1080_190_0_10","SU_840_250_0_10","SU_120_100_0_10","SU_120_340_0_10","SU_840_280_0_10","SU_80_115_0_10","SU_840_130_0_10","SU_320_175_0_10","SU_120_205_0_10","SU_520_100_0_10","SU_400_130_0_10","SU_360_310_0_10","SU_160_115_0_10","SU_1000_310_0_10","SU_40_220_0_10","SU_440_130_0_10","SU_1000_190_0_10","SU_80_220_0_10","SU_840_160_0_10","SU_120_145_0_10","SU_440_175_0_10","SU_360_280_0_10","SU_320_145_0_10","SU_400_160_0_10","SU_1000_340_0_10","SU_600_310_0_10","SU_320_190_0_10","SU_840_310_0_10","SU_200_220_0_10","SU_440_205_0_10","SU_360_205_0_10","SU_120_280_0_10","SU_1080_130_0_10","SU_160_145_0_10","SU_520_250_0_10","SU_840_100_0_10","SU_160_220_0_10","SU_120_190_0_10","SU_40_205_0_10","SU_280_250_0_10","SU_80_145_0_10","SU_200_175_0_10","SU_840_190_0_10","SU_240_145_0_10","SU_160_205_0_10","SU_400_115_0_10","SU_440_250_0_10","SU_600_340_0_10","SU_80_100_0_10","SU_520_190_0_10","SU_1160_190_0_10","SU_80_130_0_10","SU_400_190_0_10","SU_400_175_0_10","SU_600_130_0_10","SU_1080_100_0_10","SU_200_340_0_10","SU_1160_310_0_10","SU_440_160_0_10","SU_240_220_0_10","SU_200_100_0_10","SU_240_130_0_10","SU_360_130_0_10","SU_1000_250_0_10","SU_920_130_0_10","SU_240_190_0_10","SU_520_340_0_10","SU_40_175_0_10","SU_240_100_0_10","SU_400_145_0_10","SU_40_145_0_10","SU_240_205_0_10","SU_1080_280_0_10","SU_600_250_0_10","SU_360_145_0_10","SU_520_130_0_10","SU_1000_130_0_10","SU_440_310_0_10","SU_600_160_0_10","SU_920_280_0_10","SU_760_280_0_10","SU_280_190_0_10","SU_280_175_0_10","SU_120_310_0_10","SU_440_220_0_10","SU_1000_220_0_10","SU_1160_250_0_10","SU_400_205_0_10","SU_160_160_0_10","SU_1000_280_0_10","SU_1000_160_0_10","SU_400_100_0_10","SU_760_190_0_10","SU_680_160_0_10","SU_840_220_0_10","SU_360_340_0_10","SU_1080_220_0_10","SU_360_250_0_10","SU_760_130_0_10","SU_440_115_0_10","SU_240_160_0_10","SU_200_310_0_10","SU_200_145_0_10","SU_600_220_0_10","SU_280_130_0_10","SU_520_220_0_10","SU_1080_160_0_10","SU_40_190_0_10","SU_1160_160_0_10","SU_280_310_0_10","SU_920_160_0_10","SU_80_190_0_10","SU_40_310_0_10","SU_1160_130_0_10","SU_40_250_0_10","SU_40_100_0_10","SU_400_220_0_10","SU_40_340_0_10","SU_1000_100_0_10","SU_120_175_0_10","SU_280_220_0_10","SU_760_340_0_10","SU_240_115_0_10","SU_440_190_0_10","SU_1160_340_0_10","SU_600_100_0_10","SU_200_250_0_10","SU_280_145_0_10","SU_200_190_0_10","SU_200_205_0_10","SU_760_250_0_10","SU_120_250_0_10","SU_80_175_0_10","SU_40_130_0_10","SU_920_250_0_10","SU_80_160_0_10","SU_240_175_0_10","SU_280_100_0_10","SU_1080_310_0_10","SU_920_340_0_10","SU_120_115_0_10","SU_1160_100_0_10","SU_280_340_0_10","SU_1160_220_0_10","SU_200_130_0_10","SU_160_175_0_10","SU_360_220_0_10"]
#if not 'sigSamples' in dir():
# sigSamples=["SU_680_310_0_10"]
for sig in sigSamples:
myTopLvl = configMgr.addFitConfigClone(bkgOnly,"SimpleChannel_%s"%sig)
#myTopLvl.removeSystematic(jes)
sigSample = Sample(sig,kBlue)
sigSample.setNormFactor("mu_SIG", 1.0, 0., 5.0)
sigXSSyst = Systematic("SigXSec",configMgr.weights,1.1,0.9,"user","overallSys")
sigSample.addSystematic(sigXSSyst)
#sigSample.addSystematic(jesSig)
sigSample.setNormByTheory()
myTopLvl.addSamples(sigSample)
myTopLvl.setSignalSample(sigSample)
ch = myTopLvl.getChannel("cuts",cutsRegions)
myTopLvl.addSignalChannels(ch)
fitconfig.addSamples(discovery_sample)
fitconfig.setSignalSample(discovery_sample)
if myFitType == FitType.Exclusion:
points = []
try:
sigSamples
except NameError:
sigSamples = None
for sig in sigSamples:
print "Adding fit config for sample %s" % sig
exclfit = configMgr.addFitConfigClone(fitconfig, sig)
sig_sample = Sample(sig, ROOT.kOrange + 3)
sig_sample.setNormByTheory()
sig_sample.setStatConfig(useStat)
sig_sample.setNormFactor("mu_SIG", 1., 0., 5.)
if do_signal_theory_unc:
configMgr.fixSigXSec = True
sig_sample.addSystematic(
sigXsec
) #--- Special uncertainty. Theory variations (creates extra files)
exclfit.addSamples(sig_sample)
exclfit.setSignalSample(sig_sample)
exclfit.setSignalChannels(signal_channels)
mm2Jl.addSystematic(jes)
# bkt.addValidationChannels([nJetSLVR2,metSLVR2,meffSLVR2,nBJetSLVR2,metmeffSLVR2,mm2J,srs1l2jTChannel])
bkt.addValidationChannels([nJetSLVR2,srs1l2jTChannel,mm2J,mm2Jl])
dataSample.buildHisto([0.,1.,6.,16.,3.,0.],"SS","metmeff2Jet",0.1,0.1)
dataSample.buildHisto([25.],"SR1sl2j","cuts",0.5)
dataSample.buildHisto([1.,6.,24.,37.,7.,0.],"SSloose","metmeff2Jet",0.1,0.1)
dataSample.buildHisto([403.,202.,93.,39.,11.,10.,4.,1.],"SLVR2","nJet",2)
#**************
# Discovery fit
#**************
if myFitType==FitType.Discovery:
discovery = configMgr.addFitConfigClone(bkt,"Discovery")
# s1l2jT = signal region/channel
ssChannel = discovery.addChannel("cuts",["SS"],srNBins,srBinLow,srBinHigh)
ssChannel.addSystematic(jes)
ssChannel.addDiscoverySamples(["SS"],[1.],[0.],[100.],[kMagenta])
discovery.addSignalChannels([ssChannel])
dataSample.buildHisto([26.],"SS","cuts",0.5)
#-----------------------------
# Exclusion fits (1-step simplified model in this case)
#-----------------------------
if myFitType==FitType.Exclusion:
sigSamples=["SM_GG_onestepCC_425_385_345"]
dataSample.buildHisto([1.,6.,16.,3.,0.],"SS","metmeff2Jet",0.2,0.1)
## Discovery fit
#discovery = configMgr.adFitConfigClone(bkgOnly,"SimpleChannel_Discovery")
#discovery.clearSystematics()
#sigSample = Sample("discoveryMode",kBlue)
#sigSample.setNormFactor("mu_SIG",0.5,0.,1.)
#sigSample.setNormByTheory()
#discovery.addSamples(sigSample)
#discovery.setSignalSample(sigSample)
## Exclusion fits (MSUGRA grid)
#sigSamples=["SU_180_360_0_10","SU_580_240_0_10","SU_740_330_0_10","SU_900_420_0_10","SU_1300_210_0_10"]
sigSamples = ["SU_680_310_0_10","SU_440_145_0_10","SU_200_160_0_10","SU_440_340_0_10","SU_440_100_0_10","SU_120_130_0_10","SU_600_280_0_10","SU_320_115_0_10","SU_360_175_0_10","SU_920_310_0_10","SU_280_205_0_10","SU_1080_340_0_10","SU_40_280_0_10","SU_760_160_0_10","SU_200_115_0_10","SU_280_280_0_10","SU_40_160_0_10","SU_520_280_0_10","SU_120_220_0_10","SU_680_220_0_10","SU_40_115_0_10","SU_920_190_0_10","SU_320_130_0_10","SU_440_280_0_10","SU_360_100_0_10","SU_120_160_0_10","SU_1080_190_0_10","SU_840_250_0_10","SU_120_100_0_10","SU_120_340_0_10","SU_840_280_0_10","SU_80_115_0_10","SU_840_130_0_10","SU_320_175_0_10","SU_120_205_0_10","SU_520_100_0_10","SU_400_130_0_10","SU_360_310_0_10","SU_160_115_0_10","SU_1000_310_0_10","SU_40_220_0_10","SU_440_130_0_10","SU_1000_190_0_10","SU_80_220_0_10","SU_840_160_0_10","SU_120_145_0_10","SU_440_175_0_10","SU_360_280_0_10","SU_320_145_0_10","SU_400_160_0_10","SU_1000_340_0_10","SU_600_310_0_10","SU_320_190_0_10","SU_840_310_0_10","SU_200_220_0_10","SU_440_205_0_10","SU_360_205_0_10","SU_120_280_0_10","SU_1080_130_0_10","SU_160_145_0_10","SU_520_250_0_10","SU_840_100_0_10","SU_160_220_0_10","SU_120_190_0_10","SU_40_205_0_10","SU_280_250_0_10","SU_80_145_0_10","SU_200_175_0_10","SU_840_190_0_10","SU_240_145_0_10","SU_160_205_0_10","SU_400_115_0_10","SU_440_250_0_10","SU_600_340_0_10","SU_80_100_0_10","SU_520_190_0_10","SU_1160_190_0_10","SU_80_130_0_10","SU_400_190_0_10","SU_400_175_0_10","SU_600_130_0_10","SU_1080_100_0_10","SU_200_340_0_10","SU_1160_310_0_10","SU_440_160_0_10","SU_240_220_0_10","SU_200_100_0_10","SU_240_130_0_10","SU_360_130_0_10","SU_1000_250_0_10","SU_920_130_0_10","SU_240_190_0_10","SU_520_340_0_10","SU_40_175_0_10","SU_240_100_0_10","SU_400_145_0_10","SU_40_145_0_10","SU_240_205_0_10","SU_1080_280_0_10","SU_600_250_0_10","SU_360_145_0_10","SU_520_130_0_10","SU_1000_130_0_10","SU_440_310_0_10","SU_600_160_0_10","SU_920_280_0_10","SU_760_280_0_10","SU_280_190_0_10","SU_280_175_0_10","SU_120_310_0_10","SU_440_220_0_10","SU_1000_220_0_10","SU_1160_250_0_10","SU_400_205_0_10","SU_160_160_0_10","SU_1000_280_0_10","SU_1000_160_0_10","SU_400_100_0_10","SU_760_190_0_10","SU_680_160_0_10","SU_840_220_0_10","SU_360_340_0_10","SU_1080_220_0_10","SU_360_250_0_10","SU_760_130_0_10","SU_440_115_0_10","SU_240_160_0_10","SU_200_310_0_10","SU_200_145_0_10","SU_600_220_0_10","SU_280_130_0_10","SU_520_220_0_10","SU_1080_160_0_10","SU_40_190_0_10","SU_1160_160_0_10","SU_280_310_0_10","SU_920_160_0_10","SU_80_190_0_10","SU_40_310_0_10","SU_1160_130_0_10","SU_40_250_0_10","SU_40_100_0_10","SU_400_220_0_10","SU_40_340_0_10","SU_1000_100_0_10","SU_120_175_0_10","SU_280_220_0_10","SU_760_340_0_10","SU_240_115_0_10","SU_440_190_0_10","SU_1160_340_0_10","SU_600_100_0_10","SU_200_250_0_10","SU_280_145_0_10","SU_200_190_0_10","SU_200_205_0_10","SU_760_250_0_10","SU_120_250_0_10","SU_80_175_0_10","SU_40_130_0_10","SU_920_250_0_10","SU_80_160_0_10","SU_240_175_0_10","SU_280_100_0_10","SU_1080_310_0_10","SU_920_340_0_10","SU_120_115_0_10","SU_1160_100_0_10","SU_280_340_0_10","SU_1160_220_0_10","SU_200_130_0_10","SU_160_175_0_10","SU_360_220_0_10"]
#if not 'sigSamples' in dir():
# sigSamples=["SU_680_310_0_10"]
for sig in sigSamples:
myTopLvl = configMgr.addFitConfigClone(bkgOnly,"SimpleChannel_%s"%sig)
#myTopLvl.removeSystematic(jes)
sigSample = Sample(sig,kBlue)
sigSample.setNormFactor("mu_SIG",0.5,0.,1.)
sigXSSyst = Systematic("SigXSec",configMgr.weights,1.1,0.9,"user","overallSys")
sigSample.addSystematic(sigXSSyst)
#sigSample.addSystematic(jesSig)
sigSample.setNormByTheory()
myTopLvl.addSamples(sigSample)
myTopLvl.setSignalSample(sigSample)
ch = myTopLvl.getChannel("cuts",cutsRegions)
myTopLvl.setSignalChannels(ch)
configMgr.runOnlyNominalXSec = not runOptions.doTheoryBand()
signals = signalGrid.getSampleList() # returns list of <Grid>_mX_mY
# userPrint(" !! Only running over first signal point !! ")
ok_samples = ["250.0_160.0", "225.0_135.0", "300.0_180.0", "300.0_150.0"]
for s in signals:
# use_this = False
# for oksampk in ok_samples :
# if oksampk in s : use_this = True
# if not use_this : continue
# if "225" not in s : continue
# if "135" not in s : continue
# s_ = s.replace(".0", "")
s_ = s
extlx = configMgr.addFitConfigClone(tlx, "Sig_%s" % s_)
userPrint(" > Adding signal sample to exclusion fit config : %s" % s)
sigSample_ = Sample(s, kPink)
sigSample_.setFileList(signal_files)
sigSample_.setNormByTheory()
sigSample_.setStatConfig(not runOptions.doSplitMCsys())
if runOptions.doSplitMCsys():
sigSample_.addSystematic(sysObj.mcstat_SIG)
## set the signal weight to be the weight with no PUPW
sigSample_.weights = ["eventweightNOPUPW"]
if runOptions.doTheoryBand(): ### TODO check if we need the configMgr setRunOnlyNominalXSec
sigXSSyst = Systematic(
"SigXSec", ["eventweightNOPUPW"], 1.07, 0.93, "user", "overallSys"
