)
processing = Category(
name='processing',
cores=1,
runtime=900,
memory=1000
)
workflows = []
ttH = Workflow(
label='ttH',
dataset=cmssw.Dataset(
dataset='/ttHToNonbb_M125_13TeV_powheg_pythia8/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v1/MINIAODSIM',
lumis_per_task=20,
file_based=True
),
category=processing,
command='root -b -q -l script_macro.C @outputfiles @inputfiles',
extra_inputs=['script_macro.C'],
publish_label='test',
merge_command='hadd @outputfiles @inputfiles',
merge_size='3.5G',
outputs=['output.root']
)
workflows.append(ttH)
config = Config(
workdir='/tmpscratch/users/$USER/lobster_test_' + version,
processing = Category(name='processing', cores=1, runtime=3600, memory=1000)
workflows = []
#######################################################
#######################################################
############
############ signal
############
#######################################################
#######################################################
tth_nonbb_powheg_ = Workflow(
label='tth_nonbb_powheg_',
dataset=cmssw.Dataset(
dataset=
'/ttHToNonbb_M125_TuneCUETP8M2_ttHtranche3_13TeV-powheg-pythia8/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v1/MINIAODSIM',
events_per_task=20000),
category=processing,
pset='osTwoLep_cfg.py',
arguments=['skim=True'],
merge_size='2.0G',
)
workflows.append(tth_nonbb_powheg_)
tth_nonbb_aMCatNLO_ = Workflow(
label='tth_nonbb_aMCatNLO_',
dataset=cmssw.Dataset(
dataset=
'/ttHJetToNonbb_M125_13TeV_amcatnloFXFX_madspin_pythia8_mWCutfix/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6_ext1-v1/MINIAODSIM',
events_per_task=20000),
category=processing,
workflows = []
#######################################################
#######################################################
############
############ signal
############
#######################################################
#######################################################
tth_nonbb_powheg_ = Workflow(
label='tth_nonbb_powheg_',
dataset=cmssw.Dataset(
dataset='/ttHToNonbb_M125_13TeV_powheg_pythia8/RunIISpring16MiniAODv2-PUSpring16RAWAODSIM_reHLT_80X_mcRun2_asymptotic_v14-v1/MINIAODSIM',
events_per_task=20000
),
category=processing,
pset='osTwoLep_cfg.py',
arguments=['skim=True'],
merge_size='1.0G',
)
workflows.append(tth_nonbb_powheg_)
tth_nonbb_aMCatNLO_ = Workflow(
label='tth_nonbb_aMCatNLO_',
dataset=cmssw.Dataset(
dataset='/ttHJetToNonbb_M125_13TeV_amcatnloFXFX_madspin_pythia8_mWCutfix/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v1/MINIAODSIM',
events_per_task=20000
),
category=processing,
# Note the double-slash after the hostname!
"root://deepthought.crc.nd.edu//store/user/muell149/lobster_test_" +
version,
#"chirp://eddie.crc.nd.edu:9094/store/user/muell149/lobster_test_" + version,
"gsiftp://T3_US_NotreDame/store/user/muell149/lobster_test_" + version,
#"srm://T3_US_NotreDame/store/user/muell149/lobster_test_" + version
])
processing = Category(name='processing', cores=1, runtime=3600, memory=1000)
workflows = []
tth_nonbb_powheg_new = Workflow(
label='tth_nonbb_powheg',
dataset=cmssw.Dataset(
dataset=
'/ttHToNonbb_M125_TuneCUETP8M2_ttHtranche3_13TeV-powheg-pythia8/RunIISpring16MiniAODv2-premix_withHLT_80X_mcRun2_asymptotic_v14-v1/MINIAODSIM',
events_per_task=20000),
category=processing,
pset='osTwoLep_cfg.py',
merge_size='3.5G',
)
workflows.append(tth_nonbb_powheg_new)
# tth_nonbb_powheg_old = Workflow(
# label='tth_nonbb_powheg_old',
# dataset=cmssw.Dataset(
# dataset='/ttHToNonbb_M125_13TeV_powheg_pythia8/RunIISpring16MiniAODv2-PUSpring16RAWAODSIM_reHLT_80X_mcRun2_asymptotic_v14-v1/MINIAODSIM',
# events_per_task=20000
# ),
# category=processing,
# pset='osTwoLep_cfg.py',
ds = Dataset(
files=rel_path,
#files_per_task=5,
files_per_task=ds_helper.getData(sample_name, 'files_per_task'),
patterns=["*.root"])
if is_eft:
#merge_size = '256M' # EFT samples with many reweight points are O(25M)
merge_size = '4.0G'
else:
merge_size = '512K' # non-EFT samples are O(50-100k)
print "\tFullPath: {path}".format(path=full_path)
print "\tInputPath: {path}".format(path=input_path)
print "\tRelPath: {path}".format(path=rel_path)
elif das_mode:
ds = cmssw.Dataset(
dataset=sample_loc,
#events_per_task=100000
events_per_task=300000)
merge_size = '512K' # non-EFT sample sizes are O(40K)
#merge_size = -1
#cms_cmd = ['cmsRun','lobsterized_EFTGenReader_cfg.py'] # Uncomment this if want to run EFTGenReader not EFTGenHistsWithCuts
cms_cmd = [
'cmsRun', 'lobsterized_EFTGenHistsWithCuts_cfg.py'
] # Uncomment this if want to run EFTGenHistsWithCuts not EFTGenReader
cms_cmd.extend([
'datatier={tier}'.format(
tier=ds_helper.getData(sample_name, 'datatier')), 'minPtLep=10',
'minPtJet=30.0', 'maxEtaJet=2.5', 'maxEtaLep=2.5'
])
if not is_eft:
cms_cmd.extend(['iseft=False'])
# Note the double-slash after the hostname!
"root://deepthought.crc.nd.edu//store/user/muell149/lobster_test_" +
version,
#"chirp://eddie.crc.nd.edu:9094/store/user/muell149/lobster_test_" + version,
"gsiftp://T3_US_NotreDame/store/user/muell149/lobster_test_" + version,
"srm://T3_US_NotreDame/store/user/muell149/lobster_test_" + version
])
processing = Category(name='processing', cores=1, runtime=3600, memory=1000)
workflows = []
WZ_3lnu = Workflow(
label='WZ_to3lnu',
dataset=cmssw.Dataset(
dataset=
'/WZTo3LNu_TuneCUETP8M1_13TeV-powheg-pythia8/RunIISpring16MiniAODv2-PUSpring16_80X_mcRun2_asymptotic_2016_miniAODv2_v0-v1/MINIAODSIM',
events_per_task=20000),
category=processing,
pset='osTwoLep_cfg.py',
merge_size='3.5G',
arguments=['skim=True'],
)
workflows.append(WZ_3lnu)
ZZ_4l = Workflow(
label='ZZ_to4l',
dataset=cmssw.Dataset(
dataset=
'/ZZTo4L_13TeV_powheg_pythia8/RunIISpring16MiniAODv2-PUSpring16_80X_mcRun2_asymptotic_2016_miniAODv2_v0-v1/MINIAODSIM',
events_per_task=20000),
category=processing,
for path in lhe:
for dset in datasets:
if dset in path.split('/')[2]:
break
else:
raise ValueError("can't find dataset associated with {}".format(path))
part = counter.get(dset, 1)
counter[dset] = part + 1
aod = Workflow(
label='{}_aod_p{}'.format(dset, part),
pset='configs/' + dset + '_aod.py',
dataset=cmssw.Dataset(
dataset=path,
dbs_instance='phys03',
lumis_per_task=4
),
category=Category(
name='aod',
cores=2,
disk=1000,
memory=3000,
runtime=120 * 60
),
sandbox=[
cmssw.Sandbox(release='/afs/crc.nd.edu/user/m/mwolf3/work/ttH/mcgen/moriond17_part1/CMSSW_8_0_21'),
cmssw.Sandbox(release='/afs/crc.nd.edu/user/m/mwolf3/work/ttH/mcgen/moriond17_part1_rh7/CMSSW_8_0_21')
]
)
]
)
processing = Category(
name='processing',
cores=1,
runtime=900,
memory=1000
)
workflows = []
ttH = Workflow(
label='ttH',
dataset=cmssw.Dataset(
dataset='/ttHToNonbb_M125_13TeV_powheg_pythia8/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v1/MINIAODSIM',
events_per_task=50000
),
category=processing,
command='cmsRun simple_pset.py',
publish_label='test',
merge_size='3.5G',
outputs=['output.root']
)
workflows.append(ttH)
config = Config(
workdir='/tmpscratch/users/$USER/lobster_test_' + version,
plotdir='~/www/lobster/test_' + version,
storage=storage,
workflows=workflows,
#lumimask = 'https://cms-service-dqm.web.cern.ch/cms-service-dqm/CAF/certification/Collisions16/13TeV/ReReco/Final/Cert_271036-284044_13TeV_23Sep2016ReReco_Collisions16_JSON.txt'
lumimask = '/afs/crc.nd.edu/user/c/cmuelle2/CMSSW_8_0_26_patch1/src/ttH-13TeVMultiLeptons/TemplateMakers/data/JSON/Cert_271036-284044_13TeV_23Sep2016ReReco_Collisions16_JSON.txt'
#######################################################
#######################################################
############
############ signal
############
#######################################################
#######################################################
ttH_nonbb_powheg = Workflow(
label='ttH_nonbb_powheg',
dataset=cmssw.Dataset(
dataset='/ttHToNonbb_M125_TuneCUETP8M2_ttHtranche3_13TeV-powheg-pythia8/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v1/MINIAODSIM',
events_per_task=20000
),
category=processing,
pset='osTwoLep_cfg.py',
arguments=['skim=True'],
merge_size='2.0G',
)
workflows.append(ttH_nonbb_powheg)
ttH_nonbb_mWcutfix = Workflow(
label='ttH_nonbb_mWcutfix',
dataset=cmssw.Dataset(
dataset='/ttHJetToNonbb_M125_13TeV_amcatnloFXFX_madspin_pythia8_mWCutfix/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6_ext1-v1/MINIAODSIM',
events_per_task=20000
),
category=processing,
#"chirp://eddie.crc.nd.edu:9094/store/user/muell149/lobster_test_" + version,
"gsiftp://T3_US_NotreDame/store/user/muell149/lobster_test_" + version,
"srm://T3_US_NotreDame/store/user/muell149/lobster_test_" + version
])
processing = Category(name='processing', cores=1, runtime=3600, memory=1000)
workflows = []
###2016B
#dbs_instance='phys03'
SingleMu2016B = Workflow(
label='singleMu2016B',
dataset=cmssw.Dataset(dataset='/SingleMuon/Run2016B-23Sep2016-v3/MINIAOD',
events_per_task=150000,
lumi_mask=lumimask),
category=processing,
pset='osTwoLep_cfg.py',
merge_size='2.0G',
arguments=['skim=True', 'globalTag=80X_dataRun2_2016SeptRepro_v7'],
)
workflows.append(SingleMu2016B)
DoubleMu2016B = Workflow(
label='doubleMu2016B',
dataset=cmssw.Dataset(dataset='/DoubleMuon/Run2016B-23Sep2016-v3/MINIAOD',
events_per_task=150000,
lumi_mask=lumimask),
category=processing,
pset='osTwoLep_cfg.py',
processing = Category(name='processing', cores=1, runtime=3600, memory=1000)
workflows = []
#######################################################
#######################################################
############
############ signal
############
#######################################################
#######################################################
tth_nonbb_powheg_ = Workflow(
label='tth_nonbb_powheg_',
dataset=cmssw.Dataset(
dataset=
'/ttHToNonbb_M125_13TeV_powheg_pythia8/RunIISpring16MiniAODv2-PUSpring16RAWAODSIM_reHLT_80X_mcRun2_asymptotic_v14-v1/MINIAODSIM',
events_per_task=20000),
category=processing,
pset='osTwoLep_cfg.py',
arguments=['skim=True'],
merge_size='1.0G',
)
workflows.append(tth_nonbb_powheg_)
#######################################################
#######################################################
############
############ major backgrounds
############
#######################################################
#######################################################