skipCheck=True)
SMS_T8bbstausnu_mStop_200to1800_XCha0p5_XStau0p5 = FWLiteSample.fromDAS(
"SMS_T8bbstausnu_mStop_200to1800_XCha0p5_XStau0p5",
"/SMS-T8bbstausnu_mStop-200to1800_XCha0p5_XStau0p5_TuneCP2_13TeV-madgraphMLM-pythia8/RunIIFall17MiniAODv2-PUFall17Fast_94X_mc2017_realistic_v15-v1/MINIAODSIM",
dbFile=dbFile,
overwrite=ov,
prefix=redirector_global,
skipCheck=True)
SMS_T8bbstausnu_mStop_200to1800_XCha0p5_XStau0p75 = FWLiteSample.fromDAS(
"SMS_T8bbstausnu_mStop_200to1800_XCha0p5_XStau0p75",
"/SMS-T8bbstausnu_mStop-200to1800_XCha0p5_XStau0p75_TuneCP2_13TeV-madgraphMLM-pythia8/RunIIFall17MiniAODv2-PUFall17Fast_94X_mc2017_realistic_v15-v1/MINIAODSIM",
dbFile=dbFile,
overwrite=ov,
prefix=redirector_global,
skipCheck=True)
T8bbstausnu = [
SMS_T8bbstausnu_XCha0p5_mStop_200to1800_XStau0p25,
SMS_T8bbstausnu_mStop_200to1800_XCha0p5_XStau0p5,
SMS_T8bbstausnu_mStop_200to1800_XCha0p5_XStau0p75
]
## sum up
allSamples = T2tt + T2bW + T8bbllnunu + T8bbstausnu
for sample in allSamples:
sample.isData = False
from Samples.Tools.AutoClass import AutoClass
samples = AutoClass(allSamples)
JetHT_Run2017F_25Oct2019,
]
# MET
MET_Run2017B_25Oct2019 = Sample.nanoAODfromDAS("MET_Run2017B_25Oct2019", "/MET/schoef-TopNanoAODv6-1-2-6_MET_Run2017B-9721c24ccc7f925c513e24ff74941177/USER", dbFile=dbFile, redirector=redirector, instance="phys03", overwrite=ov)
MET_Run2017C_25Oct2019 = Sample.nanoAODfromDAS("MET_Run2017C_25Oct2019", "/MET/schoef-TopNanoAODv6-1-2-6_MET_Run2017C-9721c24ccc7f925c513e24ff74941177/USER", dbFile=dbFile, redirector=redirector, instance="phys03", overwrite=ov)
MET_Run2017D_25Oct2019 = Sample.nanoAODfromDAS("MET_Run2017D_25Oct2019", "/MET/schoef-TopNanoAODv6-1-2-6_MET_Run2017D-9721c24ccc7f925c513e24ff74941177/USER", dbFile=dbFile, redirector=redirector, instance="phys03", overwrite=ov)
MET_Run2017E_25Oct2019 = Sample.nanoAODfromDAS("MET_Run2017E_25Oct2019", "/MET/schoef-TopNanoAODv6-1-2-6_MET_Run2017E-9721c24ccc7f925c513e24ff74941177/USER", dbFile=dbFile, redirector=redirector, instance="phys03", overwrite=ov)
MET_Run2017F_25Oct2019 = Sample.nanoAODfromDAS("MET_Run2017F_25Oct2019", "/MET/schoef-TopNanoAODv6-1-2-6_MET_Run2017F-9721c24ccc7f925c513e24ff74941177/USER", dbFile=dbFile, redirector=redirector, instance="phys03", overwrite=ov)
MET = [
MET_Run2017B_25Oct2019,
MET_Run2017C_25Oct2019,
MET_Run2017D_25Oct2019,
MET_Run2017E_25Oct2019,
MET_Run2017F_25Oct2019,
]
allSamples = DoubleMuon + MuonEG + DoubleEG + SingleMuon + SingleElectron + JetHT + MET
for s in allSamples:
s.json = os.path.expandvars("$CMSSW_BASE/src/Samples/Tools/data/json/Cert_294927-306462_13TeV_EOY2017ReReco_Collisions17_JSON_v1.txt")
s.isData = True
from Samples.Tools.AutoClass import AutoClass
samples = AutoClass( allSamples )
if __name__=="__main__":
if options.check_completeness:
samples.check_completeness( cores=20 )