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samples_HHbbmm.py
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samples_HHbbmm.py
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import yaml
import os
import ROOT as R
from Htautau import *
# The name of the TTree in the ntuple.
make_link = False
get_weight = False
input_path = 'fixbtag_nprebtagjets_newgensum_DR_ttbar'
run_fakes = True
pure_MC = True
samples_name = "sample_database/datasets.yaml"
samples_f = open(samples_name, "r")
samples_list = yaml.load(samples_f, Loader = yaml.Loader)
"""
Xsec: dictionary with key: nick name, value: dictionary of 'xsec', 'era', 'nevents', 'nfiles', 'sample_type'
"""
scope = "mt"
lumi = 59.8e3
treename = 'ntuple'
# default_colors = [632, 814, 596, 870, 800, 840, 902, 797, 891, 401, 434, 838,
# 872, 420, 403, 893, 881, 804, 599, 615, 831, 403, 593, 810]
input_pattern = [input_path + '/%s*root']
def get_samples(channel, signal_overlay=True, **kwargs):
sf_lumi = 1.
sf_zjb = kwargs.get('sf_zjb', 1.)
##########################################
samples = {}
## for the first run, set rerun = True
for nick in samples_list:
xsec = samples_list[nick]['xsec']
sample_type = samples_list[nick]['sample_type']
if os.path.exists(input_path):
if run_fakes:
pass
# if "ttbar" in sample_type:
# continue
# if "wjets" in sample_type:
# continue
else:
if "fakes" in sample_type:
continue
if sample_type == 'data':
continue
if pure_MC:
if 'embedding' in sample_type:
continue
else:
if "DYJets" in nick:
continue
# if "ttbar" in sample_type:
# continue
# if "wjets" in sample_type:
# continue
if sample_type == 'embedding':
samples[nick] = ['1', 1, sample_type , [nick] , 0 ]
elif sample_type == 'fakes':
samples[nick] = ['1', 1/59.8e3, sample_type , [nick] , 0 ]
elif sample_type == 'ttbar':
samples[nick] = ['1', 0.8, sample_type , [nick] , 0 ]
else:
# sumofweight = getnickweight(input_path,nick, rerun = get_weight)
# if sumofweight != 0:
if "rem" in sample_type or 'electroweak_boson' in sample_type or 'vbf' in sample_type or 'diboson' in sample_type or 'ggh_hbb' in sample_type or 'singletop' in sample_type :
samples[nick] = ['1', 1, 'other' , [nick] , 0 ]
else:
samples[nick] = ['1', 1, sample_type , [nick] , 0 ]
# if signal_overlay:
# samples.update({
# 'HHbbmmC3m05_0': ["weight>-99", 1.*sf_lumi*0.01, 'HHbbmm(C3m05_0)*0.01', ['HHbbmmC3m05_0'],1],
# })
samples.update({
# 'Data': ["1", 1, 'Data', ['SingleMuon'],0],
'Data': ["1", 1, 'Data', ['SingleMuon_Run2018'],0],
})
return samples
def getsampletype(samples_list):
"""
take samples_list = yaml.load(samples_f, Loader = yaml.FullLoader) as input
return a list of sample type
"""
sampletype = []
for nick in samples_list:
if samples_list[nick]['sample_type'] not in sampletype:
sampletype.append(samples_list[nick]['sample_type'])
else:
continue
return sampletype
def checknoevents(input_file_name):
if not os.path.exists(input_path):
return 0
f = R.TFile.Open(input_file_name, "READ")
try:
tree = f.Get("ntuple")
except:
if not tree:
print(input_file_name)
return 0
if tree:
return 1
# weights_f = open('sample_database/datasets.yaml', "r")
# samples_list = yaml.safe_load(weights_f)
# print(getsampletype(samples_list))