def get_files(datasets):
sample = DBSSample(dataset=dataset)
files = sample.get_files()
xrd_files = []
for file in files:
print file
xrd_files.append("root://cmsxrootd.fnal.gov//" + str(file).split()[1])
return xrd_files
def test_dasgoclient(self):
dsname = "/DoubleMuon/Run2018A-17Sep2018-v2/MINIAOD"
dbssamp = DBSSample(dataset=dsname, dasgoclient=True)
self.assertEqual(dbssamp.get_nevents(), 75499908)
self.assertEqual(dbssamp.get_globaltag(),
"102X_dataRun2_Sep2018Rereco_v1")
self.assertEqual(dbssamp.get_native_cmssw(), "CMSSW_10_2_4_patch1")
self.assertEqual(len(dbssamp.get_files()), 1260)
def get_tasks():
pds = [
"MuonEG", "SingleElectron", "MET", "SinglePhoton", "SingleMuon",
"DoubleMuon", "JetHT", "DoubleEG", "HTMHT"
]
letters = list("BCDEF")
# pds = ["DoubleEG","MuonEG","DoubleMuon"]
# pds = ["DoubleEG"]
# letters = list("BCDEF")
# letters = list("D")
dataset_names = []
for pd in pds:
for letter in letters:
dataset_names.append("/{}/Run2017{}-31Mar2018-v1/MINIAOD".format(
pd, letter))
# dataset_names = []
# FIXME FIXME
# dataset_names = ["/MET/Run2017B-31Mar2018-v1/MINIAOD"]
# dataset_names = ["/HTMHT/Run2017F-31Mar2018-v1/MINIAOD"]
# dataset_names = [
# "/SingleMuon/Run2017C-31Mar2018-v1/MINIAOD",
# "/SingleElectron/Run2017E-31Mar2018-v1/MINIAOD",
# ]
tasks = []
for dsname in dataset_names:
cmsswver = "CMSSW_9_4_9"
tarfile = "/nfs-7/userdata/libCMS3/lib_CMS4_V09-04-19_949.tar.gz"
pset = "psets/pset_data2017_94x_v2.py"
scramarch = "slc6_amd64_gcc630"
task = CMSSWTask(
sample=DBSSample(dataset=dsname),
open_dataset=False,
events_per_output=400e3,
output_name="merged_ntuple.root",
# tag = "CMS4_V09-04-17",
tag="CMS4_V09-04-19",
pset=pset,
pset_args="data=True prompt=False",
scram_arch=scramarch,
cmssw_version=cmsswver,
condor_submit_params={"use_xrootd": True},
tarfile=tarfile,
is_data=True,
publish_to_dis=True,
snt_dir=True,
special_dir="run2_data2017/",
)
tasks.append(task)
return tasks
def getDBSFileList(dsinfos, dslist=None):
if dslist == None:
dslist = dsinfos.keys()
ds_flists = {}
for dsname in dslist:
dsinfo = dsinfos[dsname].split('|')
dataset = dsinfo[0]
sample = DBSSample(dataset=dataset)
nevts = dsinfo[1] if len(dsinfo) > 1 else sample.get_nevents()
ds_flists[dsname] = ([ef.get_name()
for ef in sample.get_files()], nevts)
return ds_flists
def make_fileset(datasets, year=2018, redirector=redirector_ucsd, small=False, n_max=1):
fileset = {}
nano_mappings = nano_mapping(year)
for dataset in datasets:
for nano_sample in nano_mappings[dataset]:
dbs_files = DBSSample(dataset=nano_sample).get_files()
files = [ redirector+x.name for x in dbs_files ]
if not small:
fileset.update({nano_sample: files})
else:
fileset.update({nano_sample: files[:n_max]})
return fileset
def get_tasks():
pds = [
"MuonEG","SingleElectron","MET","SinglePhoton","SingleMuon","DoubleMuon","JetHT","DoubleEG","HTMHT"
]
out = dis.query("/*/Run2016*-17Jul2018*/MINIAOD")
all_names = out["response"]["payload"]
all_names = sorted([ds for ds in all_names if any("/{}/".format(pd) in ds for pd in pds)])
out = dis.query("/*/Run2016*-17Jul2018*/MINIAOD,cms3tag=*17 | grep dataset_name",typ="snt")
already_done = out["response"]["payload"]
already_done = sorted([ds for ds in already_done if any("/{}/".format(pd) in ds for pd in pds)])
dataset_names = list(set(all_names)-set(already_done))
# dataset_names = [ds for ds in dataset_names if ds not in ["/MET/Run2016H-17Jul2018-v1/MINIAOD"]]
# dataset_names = []
# dataset_names += ["/MET/Run2016B-17Jul2018_ver1-v1/MINIAOD"]
# dataset_names += ["/SingleMuon/Run2016B-17Jul2018_ver2-v1/MINIAOD"] # deleted a corruption and want to make sure this gets redone
# dataset_names += ["/SinglePhoton/Run2016E-17Jul2018-v1/MINIAOD"] # deleted a corruption and want to make sure this gets redone
# dataset_names = []
# dataset_names += ["/JetHT/Run2016B-17Jul2018_ver2-v2/MINIAOD"] # deleted a corruption and want to make sure this gets redone
tasks = []
for dsname in dataset_names:
cmsswver = "CMSSW_9_4_9"
tarfile = "/nfs-7/userdata/libCMS3/lib_CMS4_V09-04-17_949.tar.gz"
pset = "psets/pset_data2016_94x_v2.py"
scramarch = "slc6_amd64_gcc630"
task = CMSSWTask(
sample = DBSSample(dataset=dsname),
open_dataset = False,
events_per_output = 400e3,
output_name = "merged_ntuple.root",
tag = "CMS4_V09-04-17",
pset = pset,
pset_args = "data=True prompt=False name=DQM",
scram_arch = scramarch,
cmssw_version = cmsswver,
condor_submit_params = {"use_xrootd":True},
tarfile = tarfile,
is_data = True,
publish_to_dis = True,
snt_dir = True,
special_dir = "run2_data2016_94x/",
)
tasks.append(task)
return tasks
def getDict(sample):
sample_dict = {}
#print ("Will get info now.")
# First, get the name
name = getName(sample[0])
print("Started with: %s" % name)
year, era, isData, isFastSim = getYearFromDAS(sample[0])
# local/private sample?
local = (sample[0].count('hadoop') + sample[0].count('home'))
#print ("Is local?", local)
#print (sample[0])
if local:
sample_dict['path'] = sample[0]
metis_sample = DirectorySample(dataset=name, location=sample[0])
else:
sample_dict['path'] = None
metis_sample = DBSSample(dataset=sample[0])
allFiles = [f.name for f in metis_sample.get_files()]
split_factor = getSplitFactor(metis_sample, target=1e6)
#
#print (allFiles)
sample_dict['files'] = len(allFiles)
if not isData:
nEvents, sumw, sumw2 = getSampleNorm(allFiles,
local=local,
redirector=redirector_fnal)
else:
nEvents, sumw, sumw2 = metis_sample.get_nevents(), 0, 0
#print (nEvents, sumw, sumw2)
sample_dict.update({
'sumWeight': float(sumw),
'nEvents': int(nEvents),
'xsec': float(sample[1]),
'name': name,
'split': split_factor
})
print("Done with: %s" % name)
return sample_dict
def make_fileset(datasets, samples, redirector=redirector_ucsd, small=False):
fileset = {}
for dataset in datasets:
for nano_sample in nano_mapping[dataset]:
files = [
redirector + x.name
for x in DBSSample(dataset=nano_sample).get_files()
]
if not small:
fileset.update({nano_sample: files})
else:
fileset.update({nano_sample: files[:1]})
return fileset
def test_queries(self):
dsname = "/DoubleMuon/Run2018A-17Sep2018-v2/MINIAOD"
dbssamp = DBSSample(dataset=dsname)
# make initial queries
self.assertEqual(dbssamp.get_nevents(), 75499908)
dbssamp.info["gtag"] = None # reset so we don't pull from cache
self.assertEqual(dbssamp.get_globaltag(),
"102X_dataRun2_Sep2018Rereco_v1")
self.assertEqual(dbssamp.get_native_cmssw(), "CMSSW_10_2_4_patch1")
self.assertEqual(len(dbssamp.get_files()), 1260)
# pull from cache
self.assertEqual(dbssamp.get_nevents(), 75499908)
self.assertEqual(dbssamp.get_globaltag(),
"102X_dataRun2_Sep2018Rereco_v1")
self.assertEqual(dbssamp.get_native_cmssw(), "CMSSW_10_2_4_patch1")
self.assertEqual(len(dbssamp.get_files()), 1260)
def get_tasks():
pds = [
"SingleElectron", "MET", "SinglePhoton", "SingleMuon", "DoubleMuon",
"JetHT", "DoubleEG", "HTMHT"
]
out = dis.query("/*/Run2016*-17Jul2018*/MINIAOD")
dataset_names = out["response"]["payload"]
dataset_names = sorted([
ds for ds in dataset_names
if any("/{}/".format(pd) in ds for pd in pds)
])
tasks = []
for dsname in dataset_names:
cmsswver = "CMSSW_9_4_9"
tarfile = "/nfs-7/userdata/libCMS3/lib_CMS4_V09-04-17_949.tar.gz"
pset = "psets_cms4/main_pset_V09-04-17.py"
scramarch = "slc6_amd64_gcc630"
task = CMSSWTask(
sample=DBSSample(dataset=dsname),
open_dataset=False,
events_per_output=400e3,
output_name="merged_ntuple.root",
tag="CMS4_V09-04-17",
pset=pset,
pset_args="data=True prompt=False name=DQM",
scram_arch=scramarch,
cmssw_version=cmsswver,
condor_submit_params={"use_xrootd": True},
tarfile=tarfile,
is_data=True,
publish_to_dis=True,
snt_dir=True,
special_dir="run2_data2016_94x/",
)
tasks.append(task)
return tasks
def submit(which):
total_summary = {}
tag = "ZMuMuSkim_v0"
task = CMSSWTask(
sample = DBSSample(dataset="/SingleMuon/Run2017F-ZMu-17Nov2017-v1/RAW-RECO"),
events_per_output = 10000,
pset = "/home/users/mcitron/CMSSW_9_4_17/src/cms_lpc_llp/llp_ntupler/python/displacedJetMuon_ntupler_Data_2017_RAWRECO.py",
cmssw_version = "CMSSW_9_4_17",
scram_arch = "slc6_amd64_gcc700",
tag = tag,
# dont_check_tree = True,
executable = "/home/users/mcitron/exeForMetis/condor_genprod_exe.sh",
condor_submit_params = {
"container": "/cvmfs/singularity.opensciencegrid.org/cmssw/cms:rhel6-m202006",
},
recopy_inputs=True
)
task.process()
total_summary[task.get_sample().get_datasetname()] = task.get_task_summary()
StatsParser(data=total_summary, webdir="~/public_html/dump/metis_test/").do()
def get_bg_tasks(tag, extra_args=""):
samples = [
# DBSSample(dataset="/JpsiToMuMu_JpsiPt8_TuneCP5_13TeV-pythia8/RunIIAutumn18DRPremix-102X_upgrade2018_realistic_v15-v1/AODSIM")
DBSSample(
dataset=
"/BuToKJpsi_ToMuMu_MuFilter_SoftQCDnonD_TuneCP5_13TeV-pythia8-evtgen/RunIIAutumn18DR-PUPoissonAve20_102X_upgrade2018_realistic_v15-v2/AODSIM"
)
]
tasks = []
for sample in samples:
task = CondorTask(
sample=sample,
output_name="output.root",
executable="executables/scouting_exe.sh",
tarfile="package.tar.gz",
events_per_output=500e3,
condor_submit_params={
"sites":
"T2_US_UCSD",
"classads": [
["metis_extraargs", extra_args],
[
"JobBatchName",
sample.get_datasetname().split("/")[1].split("_")[0] +
"_" + tag
],
],
"requirements_line":
'Requirements = ((HAS_SINGULARITY=?=True) && (HAS_CVMFS_cms_cern_ch =?= true) && {extra_requirements})'
.format(extra_requirements=extra_requirements),
},
cmssw_version="CMSSW_10_2_5",
scram_arch="slc6_amd64_gcc700",
tag=tag,
)
tasks.append(task)
return tasks
if __name__ == "__main__":
# specify which samples to run over
all_2016 = False
all_2017 = False
all_2018 = False
all_mc = False
all_data = False
all_mc_data = True
# Specify a dataset name and a short name for the output root file on nfs
samples2016BG = [
# 2016 BG MC
DBSSample(
dataset=
"/TTJets_TuneCUETP8M2T4_13TeV-amcatnloFXFX-pythia8/RunIISummer16NanoAODv7-PUMoriond17_Nano02Apr2020_102X_mcRun2_asymptotic_v8-v1/NANOAODSIM",
xsec="831.762",
),
DBSSample(
dataset=
"/TTToSemilepton_TuneCUETP8M2_ttHtranche3_13TeV-powheg-pythia8/RunIISummer16NanoAODv7-PUMoriond17_Nano02Apr2020_102X_mcRun2_asymptotic_v8-v1/NANOAODSIM",
xsec="364.35",
),
DBSSample(
dataset=
"/TTTo2L2Nu_TuneCUETP8M2_ttHtranche3_13TeV-powheg-pythia8/RunIISummer16NanoAODv7-PUMoriond17_Nano02Apr2020_102X_mcRun2_asymptotic_v8-v1/NANOAODSIM",
xsec="87.31",
),
DBSSample(
dataset=
"/DYJetsToLL_M-10to50_TuneCUETP8M1_13TeV-madgraphMLM-pythia8/RunIISummer16NanoAODv7-PUMoriond17_Nano02Apr2020_102X_mcRun2_asymptotic_v8-v1/NANOAODSIM",
os.system("rm package.tar.gz")
os.system(
"XZ_OPT='-3e -T24' tar -Jc --exclude='.git' --exclude='*.root' --exclude='*.tar*' --exclude='*.out' --exclude='*.err' --exclude='*.log' --exclude '*.nfs*' -f package.tar.gz ../../%s"
% cmssw_ver)
#os.system("cp package.tar.gz /hadoop/cms/store/user/smay/FCNC/tarballs/%s" % tar_path)
#os.system("hadoop fs -setrep -R 30 /cms/store/user/smay/FCNC/tarballs/%s" % tar_path)
total_summary = {}
while True:
allcomplete = True
# Loop through central samples
for ds, fpo, args in dsdefs[:]:
if (job_filter != "") and (args not in job_filter): continue
sample = DBSSample(dataset=ds)
print(ds, args)
task = CondorTask(
sample=sample,
open_dataset=False,
files_per_output=fpo,
output_name="test_rawreco.root",
tag=job_tag,
cmssw_version=cmssw_ver,
executable=exec_path,
tarfile="./package.tar.gz",
condor_submit_params={
"sites":
"T2_US_UCSD",
"container":
import os
from metis.Sample import DBSSample, DirectorySample
from metis.CondorTask import CondorTask
from metis.StatsParser import StatsParser
if __name__ == "__main__":
# Specify a dataset name and a short name for the output root file on nfs
samples = [
DBSSample(
dataset=
"/WJetsToLNu_TuneCUETP8M1_13TeV-madgraphMLM-pythia8/RunIISummer16NanoAODv6-PUMoriond17_Nano25Oct2019_102X_mcRun2_asymptotic_v7_ext2-v1/NANOAODSIM"
),
DBSSample(
dataset=
"/DYJetsToLL_M-10to50_TuneCUETP8M1_13TeV-amcatnloFXFX-pythia8/RunIISummer16NanoAODv6-PUMoriond17_Nano25Oct2019_102X_mcRun2_asymptotic_v7_ext1-v1/NANOAODSIM"
),
DBSSample(
dataset=
"/DYJetsToLL_M-50_TuneCUETP8M1_13TeV-amcatnloFXFX-pythia8/RunIISummer16NanoAODv6-PUMoriond17_Nano25Oct2019_102X_mcRun2_asymptotic_v7_ext2-v1/NANOAODSIM"
),
DBSSample(
dataset=
"/TTJets_DiLept_TuneCUETP8M1_13TeV-madgraphMLM-pythia8/RunIISummer16NanoAODv6-PUMoriond17_Nano25Oct2019_102X_mcRun2_asymptotic_v7-v1/NANOAODSIM"
),
DBSSample(
dataset=
"/TTJets_SingleLeptFromT_TuneCUETP8M1_13TeV-madgraphMLM-pythia8/RunIISummer16NanoAODv6-PUMoriond17_Nano25Oct2019_102X_mcRun2_asymptotic_v7-v1/NANOAODSIM"
),
DBSSample(
for key, dict in mc_samples.iteritems():
if not dict["sum_of_weights"] <= 0:
continue
#if "QCD_Pt-30toInf_DoubleEMEnriched_MGG-40to80_TuneCUETP8M1" in key:
# continue # this sample doesn't work for some reason, but shouldn't matter since we never go below m_gg of ~100
#if dict["n_events_neg"] + dict["n_events_pos"] == dict["n_events_tot"]:
#print "%s has trustworthy n_events data, skipping\n\n" % key
#continue
#elif dict["n_events_tot"] > 0 and dict["n_events_pos"] > 0:
# print "%s has already had n_event info calculated, but n_neg + n_pos != n_total" % key
# print "Probably want to check it manually"
# continue
print "Calculating n_events for %s\n\n" % key
sample = DBSSample(dataset=key)
files = sample.get_files()
n_events = 0
for file in files:
n_events += file.get_nevents()
dict["n_events_tot"] = n_events
#dict["n_events_neg"], dict["n_events_pos"] = get_negative_events(files)
dict["sum_of_weights"], dummy = get_sum_of_weights(files)
#if dict["n_events_neg"] + dict["n_events_pos"] == dict["n_events_tot"]:
#print "%s has: \n Total events: %d \n Positive Events: %d \n Negative Events: %d \n" % (key, dict["n_events_tot"], dict["n_events_pos"], dict["n_events_neg"])
#else:
#print "Some issue calculating n_events for %s: \n Total events: %d \n Positive Events: %d \n Negative Events: %d \n" % (key, dict["n_events_tot"], dict["n_events_pos"], dict["n_events_neg"])
with open(output_json, "w") as f_out:
json.dump(mc_samples, f_out, indent=4, sort_keys=True)
local_sets = [
nanoAOD6 = getChild(miniAOD, DataVersion6)
nanoAOD7 = getChild(miniAOD, DataVersion7)
isData = True
isFast = False
if not (nanoAOD6 or nanoAOD7):
#missingNano.append(miniAOD)
print "No nanoAOD sample found, exiting..."
missing_samples.append(s)
continue
#raise NotImplementedError
print nanoAOD6
print nanoAOD7
print "Data: %s, Fast: %s" % (isData, isFast)
if nanoAOD6:
sample6 = DBSSample(dataset=nanoAOD6)
if nanoAOD7:
sample7 = DBSSample(dataset=nanoAOD7)
sample_mAOD = DBSSample(dataset=miniAOD)
nAOD_events6 = 0
nAOD_events7 = 0
skip = False
try:
mAOD_events = sample_mAOD.get_nevents()
if nanoAOD6:
nAOD_events6 = sample6.get_nevents()
if nanoAOD7:
nAOD_events7 = sample7.get_nevents()
except TypeError:
# for dsname in dataset_names:
for info in infos:
dsname = info.split("|")[0].strip()
xsec = float(info.split("|")[1].strip())
kfact = float(info.split("|")[2].strip())
efact = float(info.split("|")[3].strip())
cmsswver = "CMSSW_9_2_8"
tarfile = "/nfs-7/userdata/libCMS3/lib_CMS4_V00-00-06_928.tar.gz"
try:
task = CMSSWTask(
sample = DBSSample(
dataset=dsname,
xsec=xsec,
kfact=kfact,
efact=efact,
),
events_per_output = 450e3,
output_name = "merged_ntuple.root",
tag = "CMS4_V00-00-06",
global_tag = "", # if global tag blank, one from DBS is used
pset = "main_pset.py",
pset_args = "data=False",
condor_submit_params = {"use_xrootd":True},
cmssw_version = cmsswver,
tarfile = tarfile,
publish_to_dis = publish_to_dis,
)
task.process()
# "/MuonEG/Run2017F-02Apr2020-v1/NANOAOD": "MuonEG2017F_baby"
# }
# 2018
sample_map = {
"/MuonEG/Run2018A-02Apr2020-v1/NANOAOD": "MuonEG2018A_baby",
"/MuonEG/Run2018B-02Apr2020-v1/NANOAOD": "MuonEG2018B_baby",
"/MuonEG/Run2018C-02Apr2020-v1/NANOAOD": "MuonEG2018C_baby",
"/MuonEG/Run2018D-02Apr2020-v1/NANOAOD": "MuonEG2018D_baby"
}
# Submission tag
tag = "baby_v6-1-0"
# Loop over samples
for dsname, shortname in sample_map.items():
task = CondorTask(
sample=DBSSample(
dataset=dsname,
),
files_per_output=1,
output_name="output.root",
tag=tag,
condor_submit_params={"use_xrootd":True},
cmssw_version="CMSSW_10_2_18",
input_executable="inputs/condor_executable_metis.sh", # your condor executable here
tarfile="inputs/package.tar.xz", # your tarfile with assorted goodies here
special_dir="ttbarCR/babies/MuonEG", # output files into /hadoop/cms/store/<user>/<special_dir>
)
# Straightforward logic
if not task.complete():
task.process()
else:
if not merge_task.complete():
def get_tasks():
infos = [
"/DYJetsToLL_M-10to50_TuneCUETP8M1_13TeV-amcatnloFXFX-pythia8/RunIISummer16MiniAODv3-PUMoriond17_94X_mcRun2_asymptotic_v3_ext1-v2/MINIAODSIM|18610.0|1.11|1.0",
"/DYJetsToLL_M-50_TuneCUETP8M1_13TeV-amcatnloFXFX-pythia8/RunIISummer16MiniAODv3-PUMoriond17_94X_mcRun2_asymptotic_v3_ext2-v1/MINIAODSIM|6104.0|0.9871|1",
"/DYJetsToLL_M-50_TuneCUETP8M1_13TeV-madgraphMLM-pythia8/RunIISummer16MiniAODv3-PUMoriond17_94X_mcRun2_asymptotic_v3_ext1-v2/MINIAODSIM|4895.0|1.23|1.0",
"/DYJetsToLL_M-50_TuneCUETP8M1_13TeV-madgraphMLM-pythia8/RunIISummer16MiniAODv3-PUMoriond17_94X_mcRun2_asymptotic_v3_ext2-v2/MINIAODSIM|4895.0|1.23|1.0",
"/ST_tW_antitop_5f_NoFullyHadronicDecays_13TeV-powheg_TuneCUETP8M1/RunIISummer16MiniAODv3-PUMoriond17_94X_mcRun2_asymptotic_v3_ext1-v2/MINIAODSIM|38.09|0.5135|1.0",
"/ST_tW_antitop_5f_inclusiveDecays_13TeV-powheg-pythia8_TuneCUETP8M1/RunIISummer16MiniAODv3-PUMoriond17_94X_mcRun2_asymptotic_v3_ext1-v1/MINIAODSIM|38.09|0.9346|1.0",
"/ST_tW_top_5f_NoFullyHadronicDecays_13TeV-powheg_TuneCUETP8M1/RunIISummer16MiniAODv3-PUMoriond17_94X_mcRun2_asymptotic_v3_ext1-v2/MINIAODSIM|38.09|0.5135|1.0",
"/ST_tW_top_5f_inclusiveDecays_13TeV-powheg-pythia8_TuneCUETP8M1/RunIISummer16MiniAODv3-PUMoriond17_94X_mcRun2_asymptotic_v3_ext1-v1/MINIAODSIM|38.09|0.9346|1.0",
"/ST_tWll_5f_LO_13TeV-MadGraph-pythia8/RunIISummer16MiniAODv3-PUMoriond17_94X_mcRun2_asymptotic_v3-v1/MINIAODSIM|0.01123|1.0|1.0",
"/TTGJets_TuneCUETP8M1_13TeV-amcatnloFXFX-madspin-pythia8/RunIISummer16MiniAODv3-PUMoriond17_94X_mcRun2_asymptotic_v3_ext1-v2/MINIAODSIM|3.697|1.0|1.0",
"/TTGamma_Dilept_TuneCUETP8M2T4_13TeV-amcatnlo-pythia8/RunIISummer16MiniAODv3-PUMoriond17_94X_mcRun2_asymptotic_v3-v1/MINIAODSIM|0.632|1|1",
"/TTGamma_SingleLeptFromTbar_TuneCUETP8M2T4_13TeV-amcatnlo-pythia8/RunIISummer16MiniAODv3-PUMoriond17_94X_mcRun2_asymptotic_v3-v1/MINIAODSIM|0.769|1.0|1.0",
"/TTJets_DiLept_TuneCUETP8M1_13TeV-madgraphMLM-pythia8/RunIISummer16MiniAODv3-PUMoriond17_94X_mcRun2_asymptotic_v3-v2/MINIAODSIM|57.35|1.5225|1.0",
"/TTJets_DiLept_TuneCUETP8M1_13TeV-madgraphMLM-pythia8/RunIISummer16MiniAODv3-PUMoriond17_94X_mcRun2_asymptotic_v3_ext1-v2/MINIAODSIM|57.35|1.5225|1.0",
"/TTJets_Dilept_TuneCUETP8M2T4_13TeV-amcatnloFXFX-pythia8/RunIISummer16MiniAODv3-PUMoriond17_94X_mcRun2_asymptotic_v3-v1/MINIAODSIM|57.35|1.5225|1",
"/TTJets_SingleLeptFromT_TuneCUETP8M1_13TeV-madgraphMLM-pythia8/RunIISummer16MiniAODv3-PUMoriond17_94X_mcRun2_asymptotic_v3-v2/MINIAODSIM|114.6|1.594|1.0",
"/TTJets_SingleLeptFromT_TuneCUETP8M1_13TeV-madgraphMLM-pythia8/RunIISummer16MiniAODv3-PUMoriond17_94X_mcRun2_asymptotic_v3_ext1-v2/MINIAODSIM|114.6|1.594|1.0",
"/TTJets_SingleLeptFromTbar_TuneCUETP8M1_13TeV-madgraphMLM-pythia8/RunIISummer16MiniAODv3-PUMoriond17_94X_mcRun2_asymptotic_v3-v2/MINIAODSIM|114.6|1.594|1.0",
"/TTJets_SingleLeptFromTbar_TuneCUETP8M1_13TeV-madgraphMLM-pythia8/RunIISummer16MiniAODv3-PUMoriond17_94X_mcRun2_asymptotic_v3_ext1-v2/MINIAODSIM|114.6|1.594|1.0",
"/TTTT_TuneCUETP8M2T4_13TeV-amcatnlo-pythia8/RunIISummer16MiniAODv3-PUMoriond17_94X_mcRun2_asymptotic_v3-v1/MINIAODSIM|0.009103|1|1",
"/TTTo2L2Nu_TuneCUETP8M2_ttHtranche3_13TeV-powheg-pythia8/RunIISummer16MiniAODv3-PUMoriond17_94X_mcRun2_asymptotic_v3-v2/MINIAODSIM|76.7|1.0|1.0",
"/TTWJetsToLNu_TuneCUETP8M1_13TeV-amcatnloFXFX-madspin-pythia8/RunIISummer16MiniAODv3-PUMoriond17_94X_mcRun2_asymptotic_v3_ext2-v1/MINIAODSIM|0.2043|1.0|1.0",
"/TTZToLLNuNu_M-10_TuneCUETP8M1_13TeV-amcatnlo-pythia8/RunIISummer16MiniAODv3-PUMoriond17_94X_mcRun2_asymptotic_v3_ext2-v1/MINIAODSIM|0.2529|1|1",
"/TT_TuneCUETP8M2T4_13TeV-powheg-pythia8/RunIISummer16MiniAODv3-PUMoriond17_94X_mcRun2_asymptotic_v3-v1/MINIAODSIM|730.0|1.139397|1",
"/VHToNonbb_M125_13TeV_amcatnloFXFX_madspin_pythia8/RunIISummer16MiniAODv3-PUMoriond17_94X_mcRun2_asymptotic_v3-v2/MINIAODSIM|1.0|1.0|1.0",
"/W1JetsToLNu_TuneCUETP8M1_13TeV-madgraphMLM-pythia8/RunIISummer16MiniAODv3-PUMoriond17_94X_mcRun2_asymptotic_v3-v1/MINIAODSIM|9493.0|1.238|1.0",
"/W2JetsToLNu_TuneCUETP8M1_13TeV-madgraphMLM-pythia8/RunIISummer16MiniAODv3-PUMoriond17_94X_mcRun2_asymptotic_v3_ext1-v2/MINIAODSIM|3120.0|1.231|1.0",
"/W4JetsToLNu_TuneCUETP8M1_13TeV-madgraphMLM-pythia8/RunIISummer16MiniAODv3-PUMoriond17_94X_mcRun2_asymptotic_v3_ext2-v1/MINIAODSIM|524.2|1.144|1.0",
"/WGToLNuG_TuneCUETP8M1_13TeV-amcatnloFXFX-pythia8/RunIISummer16MiniAODv3-PUMoriond17_94X_mcRun2_asymptotic_v3_ext1-v1/MINIAODSIM|489|1.0482618|1",
"/WJetsToLNu_TuneCUETP8M1_13TeV-madgraphMLM-pythia8/RunIISummer16MiniAODv3-PUMoriond17_94X_mcRun2_asymptotic_v3_ext2-v2/MINIAODSIM|50690.0|1.21|1.0",
"/WWTo2L2Nu_DoubleScattering_13TeV-pythia8/RunIISummer16MiniAODv3-PUMoriond17_94X_mcRun2_asymptotic_v3-v2/MINIAODSIM|0.16975|1.0|1.0",
"/WWW_4F_TuneCUETP8M1_13TeV-amcatnlo-pythia8/RunIISummer16MiniAODv3-PUMoriond17_94X_mcRun2_asymptotic_v3-v2/MINIAODSIM|0.2086|1.0|1.0",
"/WWZ_TuneCUETP8M1_13TeV-amcatnlo-pythia8/RunIISummer16MiniAODv3-PUMoriond17_94X_mcRun2_asymptotic_v3-v2/MINIAODSIM|0.1651|1.0|1.0",
"/WW_TuneCUETP8M1_13TeV-pythia8/RunIISummer16MiniAODv3-PUMoriond17_94X_mcRun2_asymptotic_v3_ext1-v2/MINIAODSIM|63.21|1.878|1.0",
"/WZTo3LNu_TuneCUETP8M1_13TeV-amcatnloFXFX-pythia8/RunIISummer16MiniAODv3-PUMoriond17_94X_mcRun2_asymptotic_v3-v2/MINIAODSIM|4.4297|1|1",
"/WZZ_TuneCUETP8M1_13TeV-amcatnlo-pythia8/RunIISummer16MiniAODv3-PUMoriond17_94X_mcRun2_asymptotic_v3-v2/MINIAODSIM|0.05565|1.0|1.0",
"/WZ_TuneCUETP8M1_13TeV-pythia8/RunIISummer16MiniAODv3-PUMoriond17_94X_mcRun2_asymptotic_v3_ext1-v2/MINIAODSIM|22.82|1.0|1.0",
"/WpWpJJ_EWK-QCD_TuneCUETP8M1_13TeV-madgraph-pythia8/RunIISummer16MiniAODv3-PUMoriond17_94X_mcRun2_asymptotic_v3-v1/MINIAODSIM|0.03711|1|1",
"/ZGTo2LG_TuneCUETP8M1_13TeV-amcatnloFXFX-pythia8/RunIISummer16MiniAODv3-PUMoriond17_94X_mcRun2_asymptotic_v3_ext1-v1/MINIAODSIM|117.864|1.051212|1",
"/ZZTo4L_13TeV_powheg_pythia8/RunIISummer16MiniAODv3-PUMoriond17_94X_mcRun2_asymptotic_v3-v1/MINIAODSIM|1.256|1|1",
"/ZZZ_TuneCUETP8M1_13TeV-amcatnlo-pythia8/RunIISummer16MiniAODv3-PUMoriond17_94X_mcRun2_asymptotic_v3-v2/MINIAODSIM|0.01398|1.0|1.0",
"/tZq_ll_4f_13TeV-amcatnlo-pythia8/RunIISummer16MiniAODv3-PUMoriond17_94X_mcRun2_asymptotic_v3_ext1-v1/MINIAODSIM|0.0758|1.0|1.0",
"/ttHToNonbb_M125_TuneCUETP8M2_ttHtranche3_13TeV-powheg-pythia8/RunIISummer16MiniAODv3-PUMoriond17_94X_mcRun2_asymptotic_v3-v2/MINIAODSIM|0.215|1.0|1.0",
"/ttZJets_13TeV_madgraphMLM-pythia8/RunIISummer16MiniAODv3-PUMoriond17_94X_mcRun2_asymptotic_v3-v1/MINIAODSIM|0.7826|1|1",
]
tasks = []
for info in infos:
dsname = info.split("|")[0].strip()
xsec = float(info.split("|")[1].strip())
kfact = float(info.split("|")[2].strip())
efact = float(info.split("|")[3].strip())
cmsswver = "CMSSW_9_4_9"
tarfile = "/nfs-7/userdata/libCMS3/lib_CMS4_V09-04-17_949.tar.gz"
pset = "psets/pset_mc2016_94x_v3.py"
scramarch = "slc6_amd64_gcc630"
allow_invalid_files = False
events_per_output = 300e3
# allow_invalid_files = any(x in dsname for x in [
# "/TTGJets_TuneCP5_13TeV-amcatnloFXFX-madspin-pythia8",
# "/WGToLNuG_01J_5f_TuneCP5_13TeV-amcatnloFXFX-pythia8",
# "/ZGToLLG_01J_5f_TuneCP5_13TeV-amcatnloFXFX-pythia8",
# "/ST_tWll_5f_LO_TuneCP5_PSweights_13TeV-madgraph-pythia8",
# "_HToTT_",
# "/SMS-T1tttt_mGluino",
# ])
task = CMSSWTask(
sample=DBSSample(
dataset=dsname,
xsec=xsec,
kfact=kfact,
efact=efact,
allow_invalid_files=allow_invalid_files,
),
events_per_output=events_per_output,
output_name="merged_ntuple.root",
tag="CMS4_V09-04-17",
pset=pset,
pset_args="data=False",
scram_arch=scramarch,
# condor_submit_params = {"use_xrootd":True},
cmssw_version=cmsswver,
tarfile=tarfile,
# min_completion_fraction = 0.90,
# min_completion_fraction = 0.84,
publish_to_dis=True,
snt_dir=True,
special_dir="run2_mc2016_94x/",
)
tasks.append(task)
return tasks
import os
from metis.Sample import DBSSample, DirectorySample
from metis.CondorTask import CondorTask
if __name__ == "__main__":
# Specify a dataset name and a short name for the output root file on nfs
samples = [
DBSSample(
dataset=
"/TTJets_DiLept_TuneCP5_13TeV-madgraphMLM-pythia8/RunIIFall17NanoAODv6-PU2017_12Apr2018_Nano25Oct2019_102X_mc2017_realistic_v7-v1/NANOAODSIM"
),
DBSSample(
dataset=
"/TTJets_SingleLeptFromT_TuneCP5_13TeV-madgraphMLM-pythia8/RunIIFall17NanoAODv6-PU2017_12Apr2018_Nano25Oct2019_ext_102X_mc2017_realistic_v7-v1/NANOAODSIM"
),
DBSSample(
dataset=
"/TTJets_SingleLeptFromTbar_TuneCP5_13TeV-madgraphMLM-pythia8/RunIIFall17NanoAODv6-PU2017_12Apr2018_Nano25Oct2019_102X_mc2017_realistic_v7-v1/NANOAODSIM"
),
DBSSample(
dataset=
"/TTWJetsToLNu_TuneCP5_13TeV-amcatnloFXFX-madspin-pythia8/RunIIFall17NanoAODv7-PU2017_12Apr2018_Nano02Apr2020_102X_mc2017_realistic_v8-v1/NANOAODSIM"
),
DBSSample(
dataset=
"/TTZToLLNuNu_M-10_TuneCP5_13TeV-amcatnlo-pythia8/RunIIFall17NanoAODv7-PU2017_12Apr2018_Nano02Apr2020_EXT_102X_mc2017_realistic_v8-v1/NANOAODSIM"
),
DBSSample(
dataset=
def get_tasks():
pds = ["MuonEG", "DoubleMuon", "EGamma", "JetHT", "MET", "SingleMuon"]
# pds = ["MuonEG","DoubleMuon","EGamma"] #, "JetHT", "MET", "SingleMuon"]
# pds = ["EGamma"]
proc_vers = [
("Run2018A", "v1"),
("Run2018A", "v2"),
("Run2018A", "v3"),
("Run2018B", "v1"),
("Run2018B", "v2"),
("Run2018C", "v1"),
("Run2018C", "v2"),
("Run2018C", "v3"),
# ("Run2018C","v1"),
# ("Run2018D","v1"), # very short, not in golden json, most PDs are missing on DAS
# ("Run2018D","v2"),
]
dataset_names = [
"/{0}/{1}-17Sep2018-{2}/MINIAOD".format(x[0], x[1][0], x[1][1])
for x in itertools.product(pds, proc_vers)
]
# skip datasets that aren't on das
# out = dis.query("/*/Run2018*-17Sep2018*/MINIAOD")
# NOTE Screw it, just get all the datasets and pretend they are open. Comp/ops people allow production->valid flag if
# the dataset is 99% complete to not "block their distribution" even though it's stupid.
# See https://hypernews.cern.ch/HyperNews/CMS/get/physics-validation/3267/1/1/1/1/2/2.html
out = dis.query("/*/Run2018*-17Sep2018*/MINIAOD,all")
dis_names = out["response"]["payload"]
dis_names = [
ds for ds in dis_names if any("/{}/".format(pd) in ds for pd in pds)
]
dataset_names = list(set(dataset_names) & set(dis_names))
# print dataset_names
# blah
tasks = []
for dsname in dataset_names:
scram_arch = "slc6_amd64_gcc700"
cmsswver = "CMSSW_10_2_4_patch1"
pset = "psets/pset_data2018_102x.py"
tarfile = "/nfs-7/userdata/libCMS3/lib_CMS4_V10-02-01_1024p1.tar.xz"
task = CMSSWTask(
sample=DBSSample(dataset=dsname),
open_dataset=True,
# flush = True,
# flush = ((i+1)%48==0),
# flush = ((i)%48==0),
events_per_output=300e3,
output_name="merged_ntuple.root",
tag="CMS4_V10-02-01",
scram_arch=scram_arch,
pset=pset,
pset_args=
"data=True prompt=True", # NOTE, this isn't actually prompt. but just read the NtupleMaker 10x branch readme, ok?
cmssw_version=cmsswver,
# condor_submit_params = {"use_xrootd":True},
tarfile=tarfile,
is_data=True,
publish_to_dis=True,
snt_dir=True,
special_dir="run2_data2018/",
)
tasks.append(task)
return tasks
"/TTJets_SingleLeptFromTbar_TuneCUETP8M1_13TeV-madgraphMLM-pythia8/RunIISummer16NanoAODv6-PUMoriond17_Nano25Oct2019_102X_mcRun2_asymptotic_v7-v1/NANOAODSIM" : "tt1l_antitop",
"/TTWJetsToLNu_TuneCP5_PSweights_13TeV-amcatnloFXFX-madspin-pythia8/RunIISummer16NanoAODv6-PUMoriond17_Nano25Oct2019_102X_mcRun2_asymptotic_v7-v1/NANOAODSIM" : "ttwlv",
"/TTZToLLNuNu_M-10_TuneCP5_PSweights_13TeV-amcatnlo-pythia8/RunIISummer16NanoAODv6-PUMoriond17_Nano25Oct2019_102X_mcRun2_asymptotic_v7-v1/NANOAODSIM" : "ttzllvv",
"/ttHTobb_ttToSemiLep_M125_TuneCP5_13TeV-powheg-pythia8/RunIISummer16NanoAODv6-PUMoriond17_Nano25Oct2019_102X_mcRun2_asymptotic_v7-v1/NANOAODSIM" : "tthbb",
"/WpWpJJ_EWK-QCD_TuneCUETP8M1_13TeV-madgraph-pythia8/RunIISummer16NanoAODv6-PUMoriond17_Nano25Oct2019_102X_mcRun2_asymptotic_v7-v1/NANOAODSIM" : "ssww",
"/WZTo3LNu_TuneCUETP8M1_13TeV-powheg-pythia8/RunIISummer16NanoAODv6-PUMoriond17_Nano25Oct2019_102X_mcRun2_asymptotic_v7-v1/NANOAODSIM" : "wz3lv",
}
# submission tag
tag = "v8"
for dsname, shortname in sample_map.items():
task = CondorTask(
sample = DBSSample(
dataset=dsname,
# tag="CMS4_V09-04-13", # if not specified, get latest CMS4 tag
),
files_per_output = 1,
output_name = "output.root",
tag = tag,
condor_submit_params = {"sites": "T2_US_UCSD", "use_xrootd":True},
cmssw_version = "CMSSW_10_5_0",
input_executable = "condor_executable_metis.sh", # your condor executable here
tarfile = "/nfs-7/userdata/phchang/VBSHWWNanoSkimmer_v1.package.tar.gz", # your tarfile with assorted goodies here
special_dir = "VBSHWWNanoSkim/{}".format(tag), # output files into /hadoop/cms/store/<user>/<special_dir>
)
# Straightforward logic
if not task.complete():
task.process()
break
merge_tasks = []
sample_list = samples.keys() if not args.small else samples.keys()[:2]
sample_list = [x for x in samples.keys() if args.only in x] #
print("Will run over the following samples:")
print(sample_list)
print()
for s in sample_list:
if samples[s]['path'] is not None:
sample = DirectorySample(dataset=samples[s]['name'],
location=samples[s]['path'])
else:
sample = DBSSample(dataset=s) # should we make use of the files??
year, era, isData, isFastSim = getYearFromDAS(s)
print("Now working on sample: %s" % s)
print("- has %s files" % len(sample.get_files()))
print("- is %s, corresponding to year %s. %s simulation is used." %
('Data' if isData else 'MC', year, 'Fast' if isFastSim else 'Full'))
if isData:
print("The era is: %s" % era)
# merge three files into one for all MC samples except ones where we expect a high efficiency of the skim
signal_string = re.compile("TTW.*EWK")
mergeFactor = min(4, samples[s]['split']) if not (
samples[s]['name'].count('tW_scattering')
or re.search(signal_string, samples[s]['name'])
) else samples[s][
"/DYJetsToLL_M-50_TuneCP5_13TeV-madgraphMLM-pythia8/RunIIFall18MiniAOD-102X_upgrade2018_realistic_v12_ext1-v1/MINIAODSIM",
#"/RelValZEE_13/CMSSW_10_2_5-PU25ns_102X_upgrade2018_realistic_v15_HS-v1/MINIAODSIM",
"/RelValZEE_13/CMSSW_10_2_5-102X_upgrade2018_realistic_v15_Autumn18_HS-v1/MINIAODSIM"
]
cmsswver = "CMSSW_10_2_5"
tarfile = tar_name
for i in range(10000):
total_summary = {}
total_counts = {}
for dsname in mc_samples:
open_dataset = False
task = CMSSWTask(
sample=DBSSample(dataset=dsname),
open_dataset=open_dataset,
flush=((i + 1) % 48 == 0),
# flush = ((i)%48==0),
events_per_output=100e3,
output_name="merged_ntuple.root",
tag="CMS4_V10-02-01_allPfCands",
#tag = "CMS4_V00-00-06_allPfCands",
global_tag="", # if global tag blank, one from DBS is used
#pset = "/home/users/sjmay/Commissioning2017/Commissioning2017_MET/BabyMaker/CMSSW_10_1_0/src/CMS3/NtupleMaker/test/main_pset.py",
pset=cmsswver + "/src/CMS3/NtupleMaker/test/main_pset.py",
pset_args="data=False prompt=False relval=True"
if "RelVal" in dsname else "data=False prompt=False",
cmssw_version=cmsswver,
publish_to_dis=False,
def get_tasks():
pds = ["MuonEG", "DoubleMuon", "EGamma", "JetHT", "MET", "SingleMuon"]
proc_vers = [
("Run2018A", "v1"),
("Run2018A", "v2"),
("Run2018A", "v3"),
("Run2018B", "v1"),
("Run2018B", "v2"),
("Run2018C", "v1"),
("Run2018C", "v2"),
("Run2018C", "v3"),
("Run2018D",
"v1"), # very short, not in golden json, most PDs are missing on DAS
("Run2018D", "v2"),
]
dataset_names = [
"/{0}/{1}-PromptReco-{2}/MINIAOD".format(x[0], x[1][0], x[1][1])
for x in itertools.product(pds, proc_vers)
]
# skip datasets that aren't on das
out = dis.query("/*/Run2018*-PromptReco*/MINIAOD")
dis_names = out["response"]["payload"]
dis_names = [
ds for ds in dis_names if any("/{}/".format(pd) in ds for pd in pds)
]
dataset_names = list(set(dataset_names) & set(dis_names))
tasks = []
for dsname in dataset_names:
cmsswver, tarfile = None, None
scram_arch = "slc6_amd64_gcc630"
pset = "psets/pset_prompt10x_data_1.py"
if "Run2018A-PromptReco-v1" in dsname:
cmsswver = "CMSSW_10_1_2_patch2"
tarfile = "/nfs-7/userdata/libCMS3/lib_CMS4_V10_01_00_1012p2.tar.gz"
elif "Run2018A-PromptReco-v2" in dsname:
cmsswver = "CMSSW_10_1_5"
tarfile = "/nfs-7/userdata/libCMS3/lib_CMS4_V10_01_00_1015.tar.gz"
elif "Run2018A-PromptReco-v3" in dsname:
cmsswver = "CMSSW_10_1_5"
tarfile = "/nfs-7/userdata/libCMS3/lib_CMS4_V10_01_00_1015.tar.gz"
elif "Run2018B-PromptReco-v1" in dsname:
cmsswver = "CMSSW_10_1_5"
tarfile = "/nfs-7/userdata/libCMS3/lib_CMS4_V10_01_00_1015.tar.gz"
elif "Run2018B-PromptReco-v2" in dsname:
cmsswver = "CMSSW_10_1_7"
tarfile = "/nfs-7/userdata/libCMS3/lib_CMS4_V10_01_00_1017.tar.gz"
elif ("Run2018C-PromptReco-" in dsname) or ("Run2018D-PromptReco-"
in dsname):
cmsswver = "CMSSW_10_2_1"
tarfile = "/nfs-7/userdata/libCMS3/lib_CMS4_V10_01_00_1021_nodeepak8.tar.gz"
scram_arch = "slc6_amd64_gcc700"
pset = "psets/pset_prompt10x_data_2.py"
task = CMSSWTask(
sample=DBSSample(dataset=dsname),
open_dataset=False,
# flush = ((i+1)%48==0),
# flush = ((i)%48==0),
events_per_output=350e3,
output_name="merged_ntuple.root",
recopy_inputs=False,
tag="CMS4_V10-01-00",
scram_arch=scram_arch,
# global_tag = "", # if global tag blank, one from DBS is used
pset=pset,
pset_args="data=True prompt=True",
cmssw_version=cmsswver,
# condor_submit_params = {"use_xrootd":True},
tarfile=tarfile,
is_data=True,
publish_to_dis=True,
snt_dir=True,
special_dir="run2_data2018_prompt/",
)
tasks.append(task)
return tasks
def get_tasks():
# put metadata names into text file and then do
# cat samples.txt | pyline.py '"\"{0}|{1}|{2}|{3}\",".format(*map(lambda a,b=json.load(open(x)): b[a],["dataset","xsec","kfact","efact"]))'
infos = [
# "/WZTo3LNu_2Jets_MLL-50_TuneCUETP8M1_13TeV-madgraphMLM-pythia8/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v1/MINIAODSIM|0.07684|1|1",
# "/WZTo3LNu_1Jets_MLL-50_TuneCUETP8M1_13TeV-madgraphMLM-pythia8/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v1/MINIAODSIM|0.3446|1|1",
# "/WZTo3LNu_0Jets_MLL-50_TuneCUETP8M1_13TeV-madgraphMLM-pythia8/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v1/MINIAODSIM|0.5771|1|1",
# "/WZTo3LNu_3Jets_MLL-50_TuneCUETP8M1_13TeV-madgraphMLM-pythia8/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v1/MINIAODSIM|0.1112|1|1",
# "/WZTo3LNu_1Jets_MLL-4To50_TuneCUETP8M1_13TeV-madgraphMLM-pythia8/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v2/MINIAODSIM|0.5291|1|1",
# "/WZTo3LNu_0Jets_MLL-4To50_TuneCUETP8M1_13TeV-madgraphMLM-pythia8/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v2/MINIAODSIM|2.3011|1|1",
# "/WZTo3LNu_2Jets_MLL-4To50_TuneCUETP8M1_13TeV-madgraphMLM-pythia8/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v2/MINIAODSIM|0.08196|1|1",
# "/WZTo3LNu_3Jets_MLL-4To50_TuneCUETP8M1_13TeV-madgraphMLM-pythia8/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v1/MINIAODSIM|0.09482|1|1",
# "/SMS-T1tbs_RPV_mGluino1000to1200_TuneCUETP8M1_13TeV-madgraphMLM-pythia8/RunIISpring16MiniAODv2-pLHE_PUSpring16Fast_80X_mcRun2_asymptotic_2016_miniAODv2_v0-v1/MINIAODSIM|1|1|1|mGluino",
# "/TTTo2L2Nu_HT500Njet7_TuneCUETP8M2T4_13TeV-powheg-pythia8/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v1/MINIAODSIM|1|1|1",
# "/TTToSemiLepton_HT500Njet9_TuneCUETP8M2T4_13TeV-powheg-pythia8/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v1/MINIAODSIM|1|1|1",
# "/TTWJetsToLNu_TuneCUETP8M1_13TeV-amcatnloFXFX-madspin-pythia8/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6_ext2-v1/MINIAODSIM|0.2043|1.0|1.0",
# "/ZJetsToQQ_HT600toInf_13TeV-madgraph/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v1/MINIAODSIM|5.67|1|1",
# "/DYJetsToQQ_HT180_13TeV-madgraphMLM-pythia8/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v1/MINIAODSIM|1187|1|1",
# "/WJetsToQQ_HT-600ToInf_TuneCUETP8M1_13TeV-madgraphMLM-pythia8/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v1/MINIAODSIM|95.14|1|1",
# "/WJetsToQQ_HT180_13TeV-madgraphMLM-pythia8/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v1/MINIAODSIM|2788|1|1",
# "/TT_FCNC-TtoHJ_aThadronic_HToaa_eta_hut-MadGraph5-pythia8/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v2/MINIAODSIM|1|1|1",
# "/TT_FCNC-TtoHJ_aTleptonic_HToWWZZtautau_eta_hut-MadGraph5-pythia8/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v1/MINIAODSIM|1|1|1",
# "/TT_FCNC-TtoHJ_aTleptonic_HToaa_eta_hut-MadGraph5-pythia8/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v1/MINIAODSIM|1|1|1",
# "/TT_FCNC-TtoHJ_aTleptonic_HTobb_eta_hut-MadGraph5-pythia8/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v1/MINIAODSIM|1|1|1",
# "/TT_FCNC-aTtoHJ_Thadronic_HToaa_eta_hut-MadGraph5-pythia8/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v1/MINIAODSIM|1|1|1",
# "/TT_FCNC-aTtoHJ_Tleptonic_HToWWZZtautau_eta_hut-MadGraph5-pythia8/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v1/MINIAODSIM|1|1|1",
# "/TT_FCNC-aTtoHJ_Tleptonic_HToaa_eta_hut-MadGraph5-pythia8/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v1/MINIAODSIM|1|1|1",
# "/TT_FCNC-aTtoHJ_Tleptonic_HTobb_eta_hut-MadGraph5-pythia8/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v1/MINIAODSIM|1|1|1",
# "/VBF-C1N2_WZ_TuneCUETP8M1_13TeV-madgraphMLM-pythia8/RunIISummer16MiniAODv2-PUSummer16Fast_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v1/MINIAODSIM|1|1|1|mChi,mLSP",
# "/DYJetsToLL_M-50_TuneCUETP8M1_13TeV-madgraphMLM-pythia8/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6_ext1-v2/MINIAODSIM|4895.0|1.23|1.0",
# "/TTGamma_Dilept_TuneCUETP8M2T4_13TeV-amcatnlo-pythia8/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v2/MINIAODSIM|0.632|1.0|1.0",
# "/TT_TuneCUETP8M2T4_13TeV-powheg-pythia8/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v1/MINIAODSIM|730.0|1.139397|1.0",
# "/WJetsToLNu_TuneCUETP8M1_13TeV-madgraphMLM-pythia8/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v1/MINIAODSIM|50690.0|1.21|1.0",
# "/tZq_ll_4f_13TeV-amcatnlo-pythia8/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6_ext1-v1/MINIAODSIM|0.0758|1.0|1.0",
# "/Sphaleron_NNPDF30_lo_as_0118_0_pythia8TuneCUETP8M1/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v1/MINIAODSIM|1|1|1",
# "/TTGJets_TuneCUETP8M1_13TeV-amcatnloFXFX-madspin-pythia8/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v1/MINIAODSIM|3.697|1|1",
# "/TTJets_TuneCUETP8M1_13TeV-madgraphMLM-pythia8/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v1/MINIAODSIM|831.76|1.0|1.0",
# "/GluGluHToBB_M125_13TeV_powheg_pythia8/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v1/MINIAODSIM|1|1|1",
# "/GluGluHToBB_M125_13TeV_powheg_pythia8/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6_ext1-v1/MINIAODSIM|1|1|1",
# "/WLLJJ_WToLNu_EWK_TuneCUETP8M1_13TeV_madgraph-madspin-pythia8/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v1/MINIAODSIM|0.01763|1|1",
# "/WJetsToLNu_TuneCUETP8M1_13TeV-madgraphMLM-pythia8/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v1/MINIAODSIM|50690.0|1.21|1.0",
# "/WZTo1L1Nu2Q_13TeV_amcatnloFXFX_madspin_pythia8/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v3/MINIAODSIM|10.96|0.9781|1.0",
# "/SMS-ResonantSmu_TuneCUETP8M1_13TeV-madgraphMLM-pythia8/RunIISpring16MiniAODv2-PUSpring16Fast_80X_mcRun2_asymptotic_2016_miniAODv2_v0-v1/MINIAODSIM|1|1|1|mGluino,mLSP",
# "/SMS-ResonantSneu_x0p1_TuneCUETP8M1_13TeV-madgraphMLM-pythia8/RunIISpring16MiniAODv2-PUSpring16Fast_80X_mcRun2_asymptotic_2016_miniAODv2_v0-v1/MINIAODSIM|1|1|1|mGluino,mLSP",
# "/SMS-ResonantSneu_x0p5_TuneCUETP8M1_13TeV-madgraphMLM-pythia8/RunIISpring16MiniAODv2-PUSpring16Fast_80X_mcRun2_asymptotic_2016_miniAODv2_v0-v1/MINIAODSIM|1|1|1|mGluino,mLSP",
# "/SMS-ResonantSneu_x0p9_TuneCUETP8M1_13TeV-madgraphMLM-pythia8/RunIISpring16MiniAODv2-PUSpring16Fast_80X_mcRun2_asymptotic_2016_miniAODv2_v0-v1/MINIAODSIM|1|1|1|mGluino,mLSP",
# "/SMS-TChiHH_HToWWZZTauTau_HToWWZZTauTau_TuneCUETP8M1_13TeV-madgraphMLM-pythia8/RunIISpring16MiniAODv2-PUSpring16Fast_80X_mcRun2_asymptotic_2016_miniAODv2_v0-v2/MINIAODSIM|1|1|1|mGluino",
# "/VBF-C1N2_leptonicDecays_TuneCUETP8M1_13TeV-madgraphMLM-pythia8/RunIISummer16MiniAODv2-PUSummer16Fast_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v1/MINIAODSIM|1|1|1|mGluino,mLSP",
# "/GluGluHToWWToLNuQQ_M125_13TeV_powheg_JHUGenV628_pythia8/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v1/MINIAODSIM|1|1|1",
# "/VBFHToWWToLNuQQ_M125_13TeV_powheg_JHUGenV628_pythia8/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v1/MINIAODSIM|1|1|1",
# "/DYJetsToLL_M-10to50_TuneCUETP8M1_13TeV-madgraphMLM-pythia8/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v1/MINIAODSIM|18610.0|1.11|1.0",
# "/DYJetsToLL_M-50_HT-600to800_TuneCUETP8M1_13TeV-madgraphMLM-pythia8/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v2/MINIAODSIM|1.367|1.23|1.0",
# "/ST_t-channel_antitop_4f_inclusiveDecays_13TeV-powhegV2-madspin-pythia8_TuneCUETP8M1/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v1/MINIAODSIM|80.95|1.0|1.0",
# "/ST_t-channel_top_4f_inclusiveDecays_13TeV-powhegV2-madspin-pythia8_TuneCUETP8M1/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v1/MINIAODSIM|136.02|1.0|1.0",
# "/TTJets_DiLept_TuneCUETP8M1_13TeV-madgraphMLM-pythia8/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6_ext1-v1/MINIAODSIM|57.35|1.5225|1.0",
# "/TTJets_SingleLeptFromT_TuneCUETP8M1_13TeV-madgraphMLM-pythia8/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6_ext1-v1/MINIAODSIM|114.6|1.594|1.0",
# "/TTJets_SingleLeptFromTbar_TuneCUETP8M1_13TeV-madgraphMLM-pythia8/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6_ext1-v1/MINIAODSIM|114.6|1.594|1.0",
# "/WGToLNuG_TuneCUETP8M1_13TeV-madgraphMLM-pythia8/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v1/MINIAODSIM|405.271|1.0|1.0",
# "/WJetsToLNu_HT-100To200_TuneCUETP8M1_13TeV-madgraphMLM-pythia8/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6_ext1-v1/MINIAODSIM|1345.0|1.21|1.0",
# "/WJetsToLNu_HT-2500ToInf_TuneCUETP8M1_13TeV-madgraphMLM-pythia8/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6_ext1-v1/MINIAODSIM|0.03216|1.21|1.0",
# "/WJetsToLNu_HT-400To600_TuneCUETP8M1_13TeV-madgraphMLM-pythia8/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6_ext1-v1/MINIAODSIM|48.91|1.21|1.0",
# "/WJetsToLNu_HT-600To800_TuneCUETP8M1_13TeV-madgraphMLM-pythia8/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6_ext1-v1/MINIAODSIM|12.05|1.21|1.0",
# "/WZTo1L3Nu_13TeV_amcatnloFXFX_madspin_pythia8/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v1/MINIAODSIM|3.05|1.00262|1.0",
# "/ZZTo2L2Nu_13TeV_powheg_pythia8/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v1/MINIAODSIM|0.5644|1.0|1.0",
# "/ZZTo2L2Q_13TeV_amcatnloFXFX_madspin_pythia8/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v1/MINIAODSIM|3.38|0.95296|1.0",
# "/ZZTo2Q2Nu_13TeV_amcatnloFXFX_madspin_pythia8/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v1/MINIAODSIM|4.072|1.1628|1.0",
# "/ttWJets_13TeV_madgraphMLM/RunIISummer16MiniAODv2-80X_mcRun2_asymptotic_2016_TrancheIV_v6-v1/MINIAODSIM|0.6105|1.0|1.0",
# "/ttZJets_13TeV_madgraphMLM/RunIISummer16MiniAODv2-80X_mcRun2_asymptotic_2016_TrancheIV_v6-v1/MINIAODSIM|0.7826|1.0|1.0",
# "/GluGluZH_HToWW_M125_13TeV_powheg_pythia8/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v1/MINIAODSIM|0.06961|1|1",
# "/HWminusJ_HToWW_M125_13TeV_powheg_pythia8/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v1/MINIAODSIM|0.1734|1|1",
# "/HWplusJ_HToWW_M125_13TeV_powheg_pythia8/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v1/MINIAODSIM|0.851|1|1",
# "/HZJ_HToWW_M125_13TeV_powheg_pythia8/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v1/MINIAODSIM|0.752|1|1",
# "/DoublyChargedHiggsGMmodel_HWW_M800_13TeV-madgraph/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v2/MINIAODSIM|1|1|1",
# "/DoublyChargedHiggsGMmodel_HWW_M300_13TeV-madgraph/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v2/MINIAODSIM|1|1|1",
# "/DoublyChargedHiggsGMmodel_HWW_M500_13TeV-madgraph/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v2/MINIAODSIM|1|1|1",
# "/DoublyChargedHiggsGMmodel_HWW_M700_13TeV-madgraph/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v3/MINIAODSIM|1|1|1",
# "/DoublyChargedHiggsGMmodel_HWW_M200_13TeV-madgraph/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v2/MINIAODSIM|1|1|1",
# "/DoublyChargedHiggsGMmodel_HWW_M1000_13TeV-madgraph/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v2/MINIAODSIM|1|1|1",
# "/DoublyChargedHiggsGMmodel_HWW_M400_13TeV-madgraph/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v2/MINIAODSIM|1|1|1",
# "/DoublyChargedHiggsGMmodel_HWW_M600_13TeV-madgraph/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v2/MINIAODSIM|1|1|1",
# "/DoublyChargedHiggsGMmodel_HWW_M900_13TeV-madgraph/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v2/MINIAODSIM|1|1|1",
# "/DoublyChargedHiggsGMmodel_HWW_M2000_13TeV-madgraph/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v2/MINIAODSIM|1|1|1",
# "/DoublyChargedHiggsGMmodel_HWW_M1500_13TeV-madgraph/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v2/MINIAODSIM|1|1|1",
# "/SMS-TChiWH_WToLNu_HToVVTauTau_TuneCUETP8M1_13TeV-madgraphMLM-pythia8/RunIISpring16MiniAODv2-PUSpring16Fast_80X_mcRun2_asymptotic_2016_miniAODv2_v0-v1/MINIAODSIM|1|1|1|mChi,mLSP",
# "/WprimeToWHToWhadHinc_narrow_M-6000_TuneCUETP8M2T4_13TeV-madgraph-pythia8/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v1/MINIAODSIM|1|1|1",
# "/WprimeToWHToWhadHinc_narrow_M-600_TuneCUETP8M2T4_13TeV-madgraph-pythia8/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v1/MINIAODSIM|1|1|1",
# "/WprimeToWHToWhadHinc_narrow_M-800_TuneCUETP8M2T4_13TeV-madgraph-pythia8/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v1/MINIAODSIM|1|1|1",
# "/WprimeToWHToWhadHinc_narrow_M-1000_TuneCUETP8M2T4_13TeV-madgraph-pythia8/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v1/MINIAODSIM|1|1|1",
# "/WprimeToWHToWhadHinc_narrow_M-1200_TuneCUETP8M2T4_13TeV-madgraph-pythia8/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v1/MINIAODSIM|1|1|1",
# "/WprimeToWHToWhadHinc_narrow_M-1400_TuneCUETP8M2T4_13TeV-madgraph-pythia8/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v1/MINIAODSIM|1|1|1",
# "/WprimeToWHToWhadHinc_narrow_M-1600_TuneCUETP8M2T4_13TeV-madgraph-pythia8/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v1/MINIAODSIM|1|1|1",
# "/WprimeToWHToWhadHinc_narrow_M-1800_TuneCUETP8M2T4_13TeV-madgraph-pythia8/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v1/MINIAODSIM|1|1|1",
# "/WprimeToWHToWhadHinc_narrow_M-2000_TuneCUETP8M2T4_13TeV-madgraph-pythia8/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v1/MINIAODSIM|1|1|1",
# "/WprimeToWHToWhadHinc_narrow_M-2500_TuneCUETP8M2T4_13TeV-madgraph-pythia8/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v1/MINIAODSIM|1|1|1",
# "/WprimeToWHToWhadHinc_narrow_M-3000_TuneCUETP8M2T4_13TeV-madgraph-pythia8/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v1/MINIAODSIM|1|1|1",
# "/WprimeToWHToWhadHinc_narrow_M-3500_TuneCUETP8M2T4_13TeV-madgraph-pythia8/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v1/MINIAODSIM|1|1|1",
# "/WprimeToWHToWhadHinc_narrow_M-4000_TuneCUETP8M2T4_13TeV-madgraph-pythia8/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v1/MINIAODSIM|1|1|1",
# "/WprimeToWHToWhadHinc_narrow_M-4500_TuneCUETP8M2T4_13TeV-madgraph-pythia8/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v1/MINIAODSIM|1|1|1",
# "/WprimeToWHToWhadHinc_narrow_M-5000_TuneCUETP8M2T4_13TeV-madgraph-pythia8/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v1/MINIAODSIM|1|1|1",
# "/WprimeToWHToWhadHinc_narrow_M-5500_TuneCUETP8M2T4_13TeV-madgraph-pythia8/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v1/MINIAODSIM|1|1|1",
# "/WprimeToWHToWlepHinc_narrow_M-600_TuneCUETP8M2T4_13TeV-madgraph-pythia8/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v1/MINIAODSIM|1|1|1",
# "/WprimeToWHToWlepHinc_narrow_M-800_TuneCUETP8M2T4_13TeV-madgraph-pythia8/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v1/MINIAODSIM|1|1|1",
# "/WprimeToWHToWlepHinc_narrow_M-1000_TuneCUETP8M2T4_13TeV-madgraph-pythia8/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v1/MINIAODSIM|1|1|1",
# "/WprimeToWHToWlepHinc_narrow_M-1200_TuneCUETP8M2T4_13TeV-madgraph-pythia8/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v1/MINIAODSIM|1|1|1",
# "/WprimeToWHToWlepHinc_narrow_M-1400_TuneCUETP8M2T4_13TeV-madgraph-pythia8/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v1/MINIAODSIM|1|1|1",
# "/WprimeToWHToWlepHinc_narrow_M-1600_TuneCUETP8M2T4_13TeV-madgraph-pythia8/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v1/MINIAODSIM|1|1|1",
# "/WprimeToWHToWlepHinc_narrow_M-1800_TuneCUETP8M2T4_13TeV-madgraph-pythia8/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v1/MINIAODSIM|1|1|1",
# "/WprimeToWHToWlepHinc_narrow_M-2000_TuneCUETP8M2T4_13TeV-madgraph-pythia8/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v1/MINIAODSIM|1|1|1",
# "/WprimeToWHToWlepHinc_narrow_M-2500_TuneCUETP8M2T4_13TeV-madgraph-pythia8/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v1/MINIAODSIM|1|1|1",
# "/WprimeToWHToWlepHinc_narrow_M-3500_TuneCUETP8M2T4_13TeV-madgraph-pythia8/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v1/MINIAODSIM|1|1|1",
# "/WprimeToWHToWlepHinc_narrow_M-4000_TuneCUETP8M2T4_13TeV-madgraph-pythia8/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v1/MINIAODSIM|1|1|1",
# "/WprimeToWHToWlepHinc_narrow_M-4500_TuneCUETP8M2T4_13TeV-madgraph-pythia8/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v1/MINIAODSIM|1|1|1",
# "/WprimeToWHToWlepHinc_narrow_M-5000_TuneCUETP8M2T4_13TeV-madgraph-pythia8/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v1/MINIAODSIM|1|1|1",
# "/WprimeToWHToWlepHinc_narrow_M-5500_TuneCUETP8M2T4_13TeV-madgraph-pythia8/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v1/MINIAODSIM|1|1|1",
# "/WprimeToWHToWlepHinc_narrow_M-6000_TuneCUETP8M2T4_13TeV-madgraph-pythia8/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v1/MINIAODSIM|1|1|1",
# "/TTTT_TuneCUETP8M2T4_13TeV-amcatnlo-isrdown-pythia8/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v1/MINIAODSIM|0.009103|1|1",
# "/TTTT_TuneCUETP8M2T4_13TeV-amcatnlo-fsrdown-pythia8/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v1/MINIAODSIM|0.009103|1|1",
# "/TTTT_TuneCUETP8M2T4_13TeV-amcatnlo-fsrup-pythia8/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v1/MINIAODSIM|0.009103|1|1",
# "/TTTT_TuneCUETP8M2T4_13TeV-amcatnlo-isrup-pythia8/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v1/MINIAODSIM|0.009103|1|1",
# "/TTWW_TuneCUETP8M2T4_13TeV-madgraph-pythia8/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v2/MINIAODSIM|0.011500|1|1",
# "/TTWH_TuneCUETP8M2T4_13TeV-madgraph-pythia8/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v2/MINIAODSIM|0.001582|1|1",
# "/TTWZ_TuneCUETP8M2T4_13TeV-madgraph-pythia8/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v2/MINIAODSIM|0.003884|1|1",
# "/TTZZ_TuneCUETP8M2T4_13TeV-madgraph-pythia8/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v2/MINIAODSIM|0.001982|1|1",
# "/TTHH_TuneCUETP8M2T4_13TeV-madgraph-pythia8/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v2/MINIAODSIM|0.000757|1|1",
# "/TTTJ_TuneCUETP8M2T4_13TeV-madgraph-pythia8/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v2/MINIAODSIM|0.000474|1|1",
# "/TTZH_TuneCUETP8M2T4_13TeV-madgraph-pythia8/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v2/MINIAODSIM|0.001535|1|1",
# "/TTTW_TuneCUETP8M2T4_13TeV-madgraph-pythia8/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v2/MINIAODSIM|0.000788|1|1",
# "/TTWZ_TuneCUETP8M2T4_13TeV-madgraph-pythia8/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v2/MINIAODSIM|0.003884|1|1",
# "/TTTJ_TuneCUETP8M2T4_13TeV-madgraph-pythia8/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v2/MINIAODSIM|0.000474|1|1",
# "/TTHH_TuneCUETP8M2T4_13TeV-madgraph-pythia8/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v2/MINIAODSIM|0.000757|1|1",
# "/TTZH_TuneCUETP8M2T4_13TeV-madgraph-pythia8/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v2/MINIAODSIM|0.001535|1|1",
# "/TTZZ_TuneCUETP8M2T4_13TeV-madgraph-pythia8/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v2/MINIAODSIM|0.001982|1|1",
# "/TT_TuneCUETP8M2T4_13TeV-powheg-pythia8/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v1/MINIAODSIM|730.0|1.139397|1",
# "/ttHToNonbb_M125_TuneCUETP8M2_ttHtranche3_13TeV-powheg-pythia8/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v1/MINIAODSIM|0.215|1|1",
# "/LQLQToTopTau_M-1400_TuneCUETP8M1_13TeV_pythia8/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v1/MINIAODSIM|1.0|1.0|1.0",
# "/ttHJetToGG_M125_13TeV_amcatnloFXFX_madspin_pythia8_v2/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v1/MINIAODSIM|1.0|1.0|1.0",
# "/GluGluHToGG_M125_13TeV_amcatnloFXFX_pythia8/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6_ext2-v1/MINIAODSIM|1.0|1.0|1.0",
# "/VHToGG_M125_13TeV_amcatnloFXFX_madspin_pythia8/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v1/MINIAODSIM|1.0|1.0|1.0",
# "/VBFHToGG_M125_13TeV_amcatnlo_pythia8/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6_ext2-v1/MINIAODSIM|1.0|1.0|1.0",
# "/VBFHToGG_M125_13TeV_amcatnlo_pythia8/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6_ext1-v1/MINIAODSIM|1.0|1.0|1.0",
# "/GJet_Pt-40toInf_DoubleEMEnriched_MGG-80toInf_TuneCUETP8M1_13TeV_Pythia8/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v1/MINIAODSIM|1.0|1.0|1.0",
# "/QCD_Pt-40toInf_DoubleEMEnriched_MGG-80toInf_TuneCUETP8M1_13TeV_Pythia8/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v1/MINIAODSIM|1.0|1.0|1.0",
# "/QCD_Pt-30toInf_DoubleEMEnriched_MGG-40to80_TuneCUETP8M1_13TeV_Pythia8/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v1/MINIAODSIM|1.0|1.0|1.0",
# "/QCD_Pt-30to40_DoubleEMEnriched_MGG-80toInf_TuneCUETP8M1_13TeV_Pythia8/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v1/MINIAODSIM|1.0|1.0|1.0",
# "/GJet_Pt-20toInf_DoubleEMEnriched_MGG-40to80_TuneCUETP8M1_13TeV_Pythia8/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v1/MINIAODSIM|1.0|1.0|1.0",
# "/GJet_Pt-20to40_DoubleEMEnriched_MGG-80toInf_TuneCUETP8M1_13TeV_Pythia8/RunIISummer16MiniAODv2-PUMoriond17_backup_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v1/MINIAODSIM|1.0|1.0|1.0",
# "/DiPhotonJetsBox_M40_80-Sherpa/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v1/MINIAODSIM|1.0|1.0|1.0",
# "/DiPhotonJetsBox_MGG-80toInf_13TeV-Sherpa/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v1/MINIAODSIM|1.0|1.0|1.0",
# "/DiPhotonJetsBox1BJet_MGG-80toInf_13TeV-Sherpa/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v1/MINIAODSIM|1.0|1.0|1.0",
# "/DiPhotonJetsBox2BJets_MGG-80toInf_13TeV-Sherpa/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v1/MINIAODSIM|1.0|1.0|1.0",
# "/DiPhotonJetsBox_M40_80-Sherpa/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v1/MINIAODSIM|1.0|1.0|1.0",
# "/DiPhotonJetsBox_MGG-80toInf_13TeV-Sherpa/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v1/MINIAODSIM|1.0|1.0|1.0",
# "/DiPhotonJetsBox1BJet_MGG-80toInf_13TeV-Sherpa/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v1/MINIAODSIM|1.0|1.0|1.0",
# "/DiPhotonJetsBox2BJets_MGG-80toInf_13TeV-Sherpa/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v1/MINIAODSIM|1.0|1.0|1.0",
# "/TTGG_0Jets_TuneCUETP8M1_13TeV_amcatnlo_madspin_pythia8/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v1/MINIAODSIM|1.0|1.0|1.0",
# "/SMS-T8bbstausnu_XCha0p5_XStau0p25_TuneCUETP8M1_13TeV-madgraphMLM-pythia8/RunIISummer16MiniAODv2-PUSummer16Fast_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v1/MINIAODSIM|1|1|1|mGluino,mLSP",
# "/SMS-T8bbstausnu_XCha0p5_XStau0p5_TuneCUETP8M1_13TeV-madgraphMLM-pythia8/RunIISummer16MiniAODv2-PUSummer16Fast_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v1/MINIAODSIM|1|1|1|mGluino,mLSP",
# "/SMS-T8bbstausnu_XCha0p5_XStau0p75_TuneCUETP8M1_13TeV-madgraphMLM-pythia8/RunIISummer16MiniAODv2-PUSummer16Fast_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v1/MINIAODSIM|1|1|1|mGluino,mLSP",
# "/SMS-T1tttt_TuneCUETP8M1_13TeV-madgraphMLM-pythia8/RunIISpring16MiniAODv2-PUSpring16Fast_80X_mcRun2_asymptotic_2016_miniAODv2_v0-v1/MINIAODSIM|1|1|1|mGluino,mLSP",
# "/SMS-T2bb_TuneCUETP8M1_13TeV-madgraphMLM-pythia8/RunIISpring16MiniAODv2-PUSpring16Fast_80X_mcRun2_asymptotic_2016_miniAODv2_v0-v1/MINIAODSIM|1|1|1|mSbottom,mLSP",
# "/SMS-T5ZZ_TuneCUETP8M1_13TeV-madgraphMLM-pythia8/RunIISpring16MiniAODv2-PUSpring16Fast_80X_mcRun2_asymptotic_2016_miniAODv2_v0-v1/MINIAODSIM|1|1|1|mChi,mLSP",
# "/SMS-TChiSlepSnu_x0p5_TuneCUETP8M1_13TeV-madgraphMLM-pythia8/RunIISpring16MiniAODv2-PUSpring16Fast_80X_mcRun2_asymptotic_2016_miniAODv2_v0-v1/MINIAODSIM|1|1|1|mChi,mLSP",
# "/SMS-TChiWG_TuneCUETP8M1_13TeV-madgraphMLM-pythia8/RunIISpring16MiniAODv2-PUSpring16Fast_80X_mcRun2_asymptotic_2016_miniAODv2_v0-v1/MINIAODSIM|1|1|1|mChi",
# "/SMS-T5qqqqVV_dM20_TuneCUETP8M1_13TeV-madgraphMLM-pythia8/RunIISpring16MiniAODv2-PUSpring16Fast_80X_mcRun2_asymptotic_2016_miniAODv2_v0-v1/MINIAODSIM|1|1|1|mGluino,mLSP",
# "/SMS-T2tt_mStop-400to1200_TuneCUETP8M1_13TeV-madgraphMLM-pythia8/RunIISpring16MiniAODv2-PUSpring16Fast_80X_mcRun2_asymptotic_2016_miniAODv2_v0-v1/MINIAODSIM|1|1|1|mStop,mLSP",
# "/SMS-T2bW_TuneCUETP8M1_13TeV-madgraphMLM-pythia8/RunIISpring16MiniAODv2-PUSpring16Fast_80X_mcRun2_asymptotic_2016_miniAODv2_v0-v1/MINIAODSIM|1|1|1|mStop,mLSP",
# "/SMS-TChiSlepSnu_x0p05_TuneCUETP8M1_13TeV-madgraphMLM-pythia8/RunIISpring16MiniAODv2-PUSpring16Fast_80X_mcRun2_asymptotic_2016_miniAODv2_v0-v2/MINIAODSIM|1|1|1|mChi,mLSP",
# "/SMS-T1bbbb_TuneCUETP8M1_13TeV-madgraphMLM-pythia8/RunIISpring16MiniAODv2-PUSpring16Fast_80X_mcRun2_asymptotic_2016_miniAODv2_v0-v1/MINIAODSIM|1|1|1|mGluino,mLSP",
# "/SMS-T2tt_mStop-150to250_TuneCUETP8M1_13TeV-madgraphMLM-pythia8/RunIISpring16MiniAODv2-PUSpring16Fast_80X_mcRun2_asymptotic_2016_miniAODv2_v0-v1/MINIAODSIM|1|1|1|mStop,mLSP",
# "/SMS-T2tt_mStop-250to350_TuneCUETP8M1_13TeV-madgraphMLM-pythia8/RunIISpring16MiniAODv2-PUSpring16Fast_80X_mcRun2_asymptotic_2016_miniAODv2_v0-v1/MINIAODSIM|1|1|1|mStop,mLSP",
# "/SMS-T2tt_mStop-350to400_TuneCUETP8M1_13TeV-madgraphMLM-pythia8/RunIISpring16MiniAODv2-PUSpring16Fast_80X_mcRun2_asymptotic_2016_miniAODv2_v0-v1/MINIAODSIM|1|1|1|mStop,mLSP",
# "/SMS-T2tt_dM-10to80_2Lfilter_TuneCUETP8M1_13TeV-madgraphMLM-pythia8/RunIISpring16MiniAODv2-PUSpring16Fast_80X_mcRun2_asymptotic_2016_miniAODv2_v0-v1/MINIAODSIM|1|1|1|mStop,mLSP",
# "/SMS-T1qqqq_TuneCUETP8M1_13TeV-madgraphMLM-pythia8/RunIISpring16MiniAODv2-PUSpring16Fast_80X_mcRun2_asymptotic_2016_miniAODv2_v0-v1/MINIAODSIM|1|1|1|mGluino,mLSP",
# "/SMS-T5qqqqVV_TuneCUETP8M1_13TeV-madgraphMLM-pythia8/RunIISpring16MiniAODv2-PUSpring16Fast_80X_mcRun2_asymptotic_2016_miniAODv2_v0-v1/MINIAODSIM|1|1|1|mGluino,mLSP",
# "/SMS-TChiWZ_ZToLL_TuneCUETP8M1_13TeV-madgraphMLM-pythia8/RunIISpring16MiniAODv2-PUSpring16Fast_80X_mcRun2_asymptotic_2016_miniAODv2_v0-v2/MINIAODSIM|1|1|1|mChi,mLSP",
# "/SMS-TChiWH_WToLNu_HToBB_TuneCUETP8M1_13TeV-madgraphMLM-pythia8/RunIISpring16MiniAODv2-PUSpring16Fast_80X_mcRun2_asymptotic_2016_miniAODv2_v0-v1/MINIAODSIM|1|1|1|mChi,mLSP",
# "/SMS-T5ttcc_TuneCUETP8M1_13TeV-madgraphMLM-pythia8/RunIISpring16MiniAODv2-PUSpring16Fast_80X_mcRun2_asymptotic_2016_miniAODv2_v0-v3/MINIAODSIM|1|1|1|mGluino,mLSP",
# "/SMS-T2qq_TuneCUETP8M1_13TeV-madgraphMLM-pythia8/RunIISpring16MiniAODv2-PUSpring16Fast_80X_mcRun2_asymptotic_2016_miniAODv2_v0-v1/MINIAODSIM|1|1|1|mSquark,mLSP",
# "/SMS-T2cc_genHT-160_genMET-80_TuneCUETP8M1_13TeV-madgraphMLM-pythia8/RunIISpring16MiniAODv2-PUSpring16Fast_80X_mcRun2_asymptotic_2016_miniAODv2_v0-v1/MINIAODSIM|1|1|1|mSquark,mLSP",
# "/SMS-T5tttt_dM175_TuneCUETP8M1_13TeV-madgraphMLM-pythia8/RunIISpring16MiniAODv2-PUSpring16Fast_80X_mcRun2_asymptotic_2016_miniAODv2_v0-v1/MINIAODSIM|1|1|1|mGluino,mLSP",
# "/SMS-T6ttWW_TuneCUETP8M1_13TeV-madgraphMLM-pythia8/RunIISpring16MiniAODv2-PUSpring16Fast_80X_mcRun2_asymptotic_2016_miniAODv2_v0-v1/MINIAODSIM|1|1|1|mStop,mLSP",
# "/SMS-T2tt_dM-10to80_genHT-160_genMET-80_TuneCUETP8M1_13TeV-madgraphMLM-pythia8/RunIISpring16MiniAODv2-PUSpring16Fast_80X_mcRun2_asymptotic_2016_miniAODv2_v0-v1/MINIAODSIM|1|1|1|mStop,mLSP",
# "/SMS-T2bt_TuneCUETP8M1_13TeV-madgraphMLM-pythia8/RunIISpring16MiniAODv2-PUSpring16Fast_80X_mcRun2_asymptotic_2016_miniAODv2_v0-v1/MINIAODSIM|1|1|1|mStop,mLSP",
# "/SMS-T1ttbb_TuneCUETP8M1_13TeV-madgraphMLM-pythia8/RunIISpring16MiniAODv2-PUSpring16Fast_80X_mcRun2_asymptotic_2016_miniAODv2_v0-v1/MINIAODSIM|1|1|1|mGluino,mLSP",
# "/SMS-T5ZZ_mGluino-1850to2100_TuneCUETP8M1_13TeV-madgraphMLM-pythia8/RunIISpring16MiniAODv2-PUSpring16Fast_80X_mcRun2_asymptotic_2016_miniAODv2_v0-v1/MINIAODSIM|1|1|1|mGluino,mLSP",
# "/SMS-T6bbllslepton_mSbottom-400To950_mLSP-120To140_TuneCUETP8M1_13TeV-madgraphMLM-pythia8/RunIISpring16MiniAODv2-PUSpring16Fast_80X_mcRun2_asymptotic_2016_miniAODv2_v0-v1/MINIAODSIM|1|1|1|mSbottom,mLSP",
# "/SMS-T6bbllslepton_mSbottom-1000To1500_mLSP-120To1450_TuneCUETP8M1_13TeV-madgraphMLM-pythia8/RunIISpring16MiniAODv2-PUSpring16Fast_80X_mcRun2_asymptotic_2016_miniAODv2_v0-v1/MINIAODSIM|1|1|1|mSbottom,mLSP",
# "/SMS-T6qqWW_dM10_TuneCUETP8M1_13TeV-madgraphMLM-pythia8/RunIISpring16MiniAODv2-PUSpring16Fast_80X_mcRun2_asymptotic_2016_miniAODv2_v0-v1/MINIAODSIM|1|1|1|mGluino,mLSP",
# "/SMS-T2tt_dM-10to80_genHT-160_genMET-80_TuneCUETP8M1_13TeV-madgraphMLM-pythia8/RunIISpring16MiniAODv2-PUSpring16Fast_80X_mcRun2_asymptotic_2016_miniAODv2_v0-v1/MINIAODSIM|1|1|1|mStop,mLSP",
# "/SMS-T2cc_genHT-160_genMET-80_TuneCUETP8M1_13TeV-madgraphMLM-pythia8/RunIISpring16MiniAODv2-PUSpring16Fast_80X_mcRun2_asymptotic_2016_miniAODv2_v0-v1/MINIAODSIM|1|1|1|mSquark,mLSP",
# "/SMS-T6qqWW_dM5_TuneCUETP8M1_13TeV-madgraphMLM-pythia8/RunIISpring16MiniAODv2-PUSpring16Fast_80X_mcRun2_asymptotic_2016_miniAODv2_v0-v1/MINIAODSIM|1|1|1|mGluino,mLSP",
# "/SMS-T6qqWW_dM20_TuneCUETP8M1_13TeV-madgraphMLM-pythia8/RunIISpring16MiniAODv2-PUSpring16Fast_80X_mcRun2_asymptotic_2016_miniAODv2_v0-v1/MINIAODSIM|1|1|1|mGluino,mLSP",
# "/SMS-TChiHZ_HToBB_ZToLL_TuneCUETP8M1_13TeV-madgraphMLM-pythia8/RunIISpring16MiniAODv2-PUSpring16Fast_80X_mcRun2_asymptotic_2016_miniAODv2_v0-v3/MINIAODSIM|1|1|1|mChi",
# "/SMS-TChiZZ_ZToLL_TuneCUETP8M1_13TeV-madgraphMLM-pythia8/RunIISpring16MiniAODv2-PUSpring16Fast_80X_mcRun2_asymptotic_2016_miniAODv2_v0-v2/MINIAODSIM|1|1|1|mChi",
# "/SMS-TChiHH_HToBB_HToBB_TuneCUETP8M1_13TeV-madgraphMLM-pythia8/RunIISpring16MiniAODv2-PUSpring16Fast_80X_mcRun2_asymptotic_2016_miniAODv2_v0-v2/MINIAODSIM|1|1|1|mChi,mLSP",
# "/SMS-TStauStau_TuneCUETP8M1_13TeV-madgraphMLM-pythia8/RunIISpring16MiniAODv2-PUSpring16Fast_80X_mcRun2_asymptotic_2016_miniAODv2_v0-v2/MINIAODSIM|1|1|1|mStau,mLSP",
# "/SMS-TChipmSlepSnu_TuneCUETP8M1_13TeV-madgraphMLM-pythia8/RunIISpring16MiniAODv2-PUSpring16Fast_80X_mcRun2_asymptotic_2016_miniAODv2_v0-v2/MINIAODSIM|1|1|1|mChi,mLSP",
# "/GJets_DR-0p4_HT-600ToInf_TuneCUETP8M1_13TeV-madgraphMLM-pythia8/RunIISummer16MiniAODv2-PUMoriond17_qcut19_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v1/MINIAODSIM|43.36|1|1",
# "/TTGamma_SingleLeptFromT_TuneCUETP8M2T4_13TeV-amcatnlo-pythia8/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v2/MINIAODSIM|0.77|1|1",
# "/TTWJetsToQQ_TuneCUETP8M1_13TeV-amcatnloFXFX-madspin-pythia8/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v1/MINIAODSIM|0.4062|1|1",
# "/WmWmJJ_13TeV-powheg-pythia8_TuneCUETP8M1/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v1/MINIAODSIM|0.007868|1|1",
# "/WpWpJJ_13TeV-powheg-pythia8_TuneCUETP8M1/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v1/MINIAODSIM|0.007868|1|1",
# "/ZH_ZToEE_HToInvisible_M800_13TeV_powheg_pythia8/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v2/MINIAODSIM|0.00002637|1.0|1.0",
# "/WminusH_HToInvisible_WToQQ_M300_13TeV_powheg_pythia8/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v1/MINIAODSIM|0.01602|1.0|1.0",
# "/WminusH_HToInvisible_WToQQ_M800_13TeV_powheg_pythia8/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v1/MINIAODSIM|0.0002112|1.0|1.0",
# "/WplusH_HToInvisible_WToQQ_M110_13TeV_powheg_pythia8/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v1/MINIAODSIM|0.8999|1.0|1.0",
# "/WplusH_HToInvisible_WToQQ_M150_13TeV_powheg_pythia8/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v1/MINIAODSIM|0.3395|1.0|1.0",
# "/WplusH_HToInvisible_WToQQ_M200_13TeV_powheg_pythia8/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v1/MINIAODSIM|0.1280|1.0|1.0",
# "/WplusH_HToInvisible_WToQQ_M300_13TeV_powheg_pythia8/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v1/MINIAODSIM|0.0293|1.0|1.0",
# "/WplusH_HToInvisible_WToQQ_M400_13TeV_powheg_pythia8/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v1/MINIAODSIM|0.009653|1.0|1.0",
# "/WplusH_HToInvisible_WToQQ_M500_13TeV_powheg_pythia8/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v1/MINIAODSIM|0.003927|1.0|1.0",
# "/WplusH_HToInvisible_WToQQ_M600_13TeV_powheg_pythia8/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v1/MINIAODSIM|0.001826|1.0|1.0",
# "/WplusH_HToInvisible_WToQQ_M800_13TeV_powheg_pythia8/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v1/MINIAODSIM|0.0005086|1.0|1.0",
# "/WplusH_HToInvisible_WToQQ_M1000_13TeV_powheg_pythia8/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v1/MINIAODSIM|0.0001743|1.0|1.0",
]
tasks = []
for info in infos:
dsname = info.split("|")[0].strip()
xsec = float(info.split("|")[1].strip())
kfact = float(info.split("|")[2].strip())
efact = float(info.split("|")[3].strip())
sparms = []
pset_args = "data=False"
if info.count("|") == 4:
sparms = info.split("|")[4].split(",")
pset_args = "data=False fastsim=True"
# break
cmsswver = "CMSSW_8_0_26_patch1"
tarfile = "/nfs-7/userdata/libCMS3/lib_CMS4_V00-00-02_2017Sep27.tar.gz"
# allow_invalid_files = any(x in dsname for x in ["TTWW","TTWH","TTTW"])
task = CMSSWTask(
sample = DBSSample(
dataset=dsname,
xsec=xsec,
kfact=kfact,
efact=efact,
# allow_invalid_files=allow_invalid_files,
allow_invalid_files=False,
),
events_per_output = 350e3,
output_name = "merged_ntuple.root",
tag = "CMS4_V00-00-02_2017Sep27",
global_tag = "", # if global tag blank, one from DBS is used
pset = "psets/pset_moriondremc.py",
pset_args = pset_args,
condor_submit_params = {"use_xrootd":True},
# condor_submit_params = {"sites":"UCSB"},
# condor_submit_params = {"sites":"T2_US_Nebraska,T2_US_Purdue,T2_US_MIT"},
cmssw_version = cmsswver,
tarfile = tarfile,
special_dir = "run2_moriond17_cms4/ProjectMetis",
# min_completion_fraction = 0.94,
publish_to_dis = True,
sparms = sparms,
)
tasks.append(task)
return tasks
def get_tasks():
infos = [
"/DYJetsToLL_M-50_TuneCP5_13TeV-madgraphMLM-pythia8/RunIIAutumn18MiniAOD-102X_upgrade2018_realistic_v15-v1/MINIAODSIM|4895|1.23|1",
"/TTHH_TuneCP5_13TeV-madgraph-pythia8/RunIIAutumn18MiniAOD-102X_upgrade2018_realistic_v15_ext1-v2/MINIAODSIM|0.000757|1.0|1.0",
"/TTWZ_TuneCP5_13TeV-madgraph-pythia8/RunIIAutumn18MiniAOD-102X_upgrade2018_realistic_v15_ext1-v2/MINIAODSIM|0.003884|1.0|1.0",
"/WZZ_TuneCP5_13TeV-amcatnlo-pythia8/RunIIAutumn18MiniAOD-102X_upgrade2018_realistic_v15_ext1-v2/MINIAODSIM|0.05565|1.0|1.0",
"/ZZZ_TuneCP5_13TeV-amcatnlo-pythia8/RunIIAutumn18MiniAOD-102X_upgrade2018_realistic_v15_ext1-v2/MINIAODSIM|0.01398|1.0|1.0",
"/WWZ_TuneCP5_13TeV-amcatnlo-pythia8/RunIIAutumn18MiniAOD-102X_upgrade2018_realistic_v15_ext1-v2/MINIAODSIM|0.1651|1|1",
"/WW_TuneCP5_13TeV-pythia8/RunIIAutumn18MiniAOD-102X_upgrade2018_realistic_v15-v2/MINIAODSIM|63.21|1.878|1.0",
"/DYJetsToLL_M-50_Zpt-150toInf_TuneCP5_13TeV-madgraphMLM-pythia8/RunIIAutumn18MiniAOD-102X_upgrade2018_realistic_v15-v1/MINIAODSIM|202.9|1|1",
"/DYJetsToLL_M-50_TuneCP5_13TeV-amcatnloFXFX-pythia8/RunIIAutumn18MiniAOD-102X_upgrade2018_realistic_v15-v1/MINIAODSIM|4895|1.23|1",
"/TTTo2L2Nu_TuneCP5_13TeV-powheg-pythia8/RunIIAutumn18MiniAOD-102X_upgrade2018_realistic_v15-v1/MINIAODSIM|72.1|1.0|1.0",
"/W2JetsToLNu_TuneCP5_13TeV-madgraphMLM-pythia8/RunIIAutumn18MiniAOD-102X_upgrade2018_realistic_v15-v2/MINIAODSIM|3489|1|1",
"/QCD_Pt-15to20_EMEnriched_TuneCP5_13TeV_pythia8/RunIIAutumn18MiniAOD-102X_upgrade2018_realistic_v15_ext1-v2/MINIAODSIM|841200000.0|1|0.0016",
"/QCD_Pt-120to170_EMEnriched_TuneCP5_13TeV_pythia8/RunIIAutumn18MiniAOD-102X_upgrade2018_realistic_v15-v1/MINIAODSIM|407300|1.0|0.1636",
"/QCD_Pt-170to300_EMEnriched_TuneCP5_13TeV_pythia8/RunIIAutumn18MiniAOD-102X_upgrade2018_realistic_v15-v1/MINIAODSIM|122700|1.0|0.17",
"/QCD_Pt-20to30_EMEnriched_TuneCP5_13TeV_pythia8/RunIIAutumn18MiniAOD-102X_upgrade2018_realistic_v15-v1/MINIAODSIM|399100000|1.0|0.0124",
"/QCD_Pt-300to470_MuEnrichedPt5_TuneCP5_13TeV_pythia8/RunIIAutumn18MiniAOD-102X_upgrade2018_realistic_v15-v3/MINIAODSIM|6834|1.0|0.09182",
"/QCD_Pt-300toInf_EMEnriched_TuneCP5_13TeV_pythia8/RunIIAutumn18MiniAOD-102X_upgrade2018_realistic_v15-v1/MINIAODSIM|9000|1.0|0.15",
"/QCD_Pt-30to50_EMEnriched_TuneCP5_13TeV_pythia8/RunIIAutumn18MiniAOD-102X_upgrade2018_realistic_v15_ext1-v2/MINIAODSIM|107200000.0|1.0|0.059",
"/QCD_Pt-470to600_MuEnrichedPt5_TuneCP5_13TeV_pythia8/RunIIAutumn18MiniAOD-102X_upgrade2018_realistic_v15-v1/MINIAODSIM|547.3|1.0|0.1035",
"/QCD_Pt-50to80_EMEnriched_TuneCP5_13TeV_pythia8/RunIIAutumn18MiniAOD-102X_upgrade2018_realistic_v15-v1/MINIAODSIM|15680000|1.0|0.1152",
"/QCD_Pt-600to800_MuEnrichedPt5_TuneCP5_13TeV_pythia8/RunIIAutumn18MiniAOD-102X_upgrade2018_realistic_v15-v1/MINIAODSIM|187.109|1.0|0.13412",
"/QCD_Pt-80to120_EMEnriched_TuneCP5_13TeV_pythia8/RunIIAutumn18MiniAOD-102X_upgrade2018_realistic_v15-v1/MINIAODSIM|2349000|1.0|0.162",
"/QCD_Pt-80to120_MuEnrichedPt5_TuneCP5_13TeV_pythia8/RunIIAutumn18MiniAOD-102X_upgrade2018_realistic_v15-v1/MINIAODSIM|2335000|1.0|0.03513",
"/QCD_Pt-120to170_MuEnrichedPt5_TuneCP5_13TeV_pythia8/RunIIAutumn18MiniAOD-102X_upgrade2018_realistic_v15-v1/MINIAODSIM|479500.0|1.0|0.04958",
"/QCD_Pt-20to30_MuEnrichedPt5_TuneCP5_13TeV_pythia8/RunIIAutumn18MiniAOD-102X_upgrade2018_realistic_v15-v4/MINIAODSIM|562700000.0|1.0|0.007087",
"/QCD_Pt-120to170_MuEnrichedPt5_TuneCP5_13TeV_pythia8/RunIIAutumn18MiniAOD-102X_upgrade2018_realistic_v15_ext1-v2/MINIAODSIM|410800.0|1.0|0.04773",
"/W4JetsToLNu_TuneCP5_13TeV-madgraphMLM-pythia8/RunIIAutumn18MiniAOD-102X_upgrade2018_realistic_v15-v2/MINIAODSIM|524.2|1.0|1.0",
"/TT_DiLept_TuneCP5_13TeV-amcatnlo-pythia8/RunIIAutumn18MiniAOD-102X_upgrade2018_realistic_v15_ext1-v2/MINIAODSIM|81.32|1|1",
"/TTPlus1Jet_DiLept_TuneCP5_13TeV-amcatnloFXFX-pythia8/RunIIFall17MiniAODv2-PU2017_12Apr2018_94X_mc2017_realistic_v14-v2/MINIAODSIM|72.48|1|1",
"/ZJetsToNuNu_HT-800To1200_13TeV-madgraph/RunIIAutumn18MiniAOD-102X_upgrade2018_realistic_v15-v1/MINIAODSIM|1.474|1.0|1.0",
"/GJets_HT-40To100_TuneCP5_13TeV-madgraphMLM-pythia8/RunIIAutumn18MiniAOD-102X_upgrade2018_realistic_v15-v1/MINIAODSIM|20790|1.0|1.0",
"/GJets_HT-200To400_TuneCP5_13TeV-madgraphMLM-pythia8/RunIIAutumn18MiniAOD-102X_upgrade2018_realistic_v15-v1/MINIAODSIM|2305|1.0|1.0",
"/GJets_HT-400To600_TuneCP5_13TeV-madgraphMLM-pythia8/RunIIAutumn18MiniAOD-102X_upgrade2018_realistic_v15-v1/MINIAODSIM|274.4|1.0|1.0",
"/GJets_HT-600ToInf_TuneCP5_13TeV-madgraphMLM-pythia8/RunIIAutumn18MiniAOD-102X_upgrade2018_realistic_v15_ext1-v2/MINIAODSIM|93.46|1.0|1.0",
"/QCD_HT500to700_TuneCP5_13TeV-madgraphMLM-pythia8/RunIIAutumn18MiniAOD-102X_upgrade2018_realistic_v15-v1/MINIAODSIM|29070|1.0|1.0",
]
tasks = []
for info in infos:
dsname = info.split("|")[0].strip()
xsec = float(info.split("|")[1].strip())
kfact = float(info.split("|")[2].strip())
efact = float(info.split("|")[3].strip())
cmsswver = "CMSSW_10_2_5"
tarfile = "/nfs-7/userdata/libCMS3/lib_CMS4_V10-02-02_1025.tar.xz"
pset = "psets/pset_mc2018_102x_v1.py"
scramarch = "slc6_amd64_gcc700"
events_per_output = 300e3
allow_invalid_files = any(x in dsname for x in [
])
if any(x in dsname for x in [
]):
events_per_output = 130e3
task = CMSSWTask(
sample = DBSSample(
dataset=dsname,
xsec=xsec,
kfact=kfact,
efact=efact,
allow_invalid_files=allow_invalid_files,
),
events_per_output = events_per_output,
output_name = "merged_ntuple.root",
tag = "CMS4_V10-02-02",
pset = pset,
pset_args = "data=False setup=2018",
scram_arch = scramarch,
# condor_submit_params = {"use_xrootd":True},
cmssw_version = cmsswver,
tarfile = tarfile,
# min_completion_fraction = 0.90,
publish_to_dis = True,
snt_dir = True,
special_dir = "run2_mc2018/",
)
tasks.append(task)
return tasks
# "tarfile" : "/nfs-7/userdata/libCMS3/lib_CMS4_V09-04-19_949.tar.gz",
# "tag" : "CMS4_V09-04-19",
# "pset" : "NtupleTools/MetisScripts/psets/pset_mc2017_94x_v2.py",
# "special_dir" : "run2_94x_cms4_www/ProjectMetis",
# },
#########################
# MC 2016 80X #
#########################
{
"sample":
DBSSample(
dataset=
"/TT_TuneCUETP8M2T4_13TeV-powheg-pythia8/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v1/MINIAODSIM",
xsec=730.0,
kfact=1.139397,
efact=1.0,
# allow_invalid_files=allow_invalid_files,
allow_invalid_files=False,
),
"pset_args":
"data=False",
"cmsswver":
"CMSSW_8_0_26_patch1",
"tarfile":
"/nfs-7/userdata/libCMS3/lib_CMS4_V08-00-06_826p1.tar.gz",
"tag":
"CMS4_V08-00-06_826p1_AllPF",
"pset":
"pset_moriondremc.py",
"special_dir":
from metis.CMSSWTask import CMSSWTask
from metis.Sample import DBSSample
from metis.StatsParser import StatsParser
import time
if __name__ == "__main__":
total_summary = {}
for _ in range(10000):
nano = CMSSWTask(
sample=DBSSample(
dataset=
"/DYJetsToLL_M-50_TuneCP5_13TeV-madgraphMLM-pythia8/RunIIAutumn18MiniAOD-102X_upgrade2018_realistic_v15-v1/MINIAODSIM",
),
events_per_output=150e3,
output_name="output.root",
tag="v1",
pset="../scratch/pset_nano.py",
cmssw_version="CMSSW_10_2_11",
scram_arch="slc6_amd64_gcc700",
)
nano.process()
total_summary[
nano.get_sample().get_datasetname()] = nano.get_task_summary()
StatsParser(data=total_summary,
webdir="~/public_html/dump/metis_nano/").do()
time.sleep(30 * 60)