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skimm_tree.py
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#from utils import wps_years
import ROOT
import shutil
import sys, os, re, shlex
#from subprocess import Popen, PIPE
#ROOT.ROOT.EnableImplicitMT()
#os.environ["MKL_NUM_THREADS"] = "1"
#os.environ["OMP_NUM_THREADS"] = "1"
import shutil,subprocess
import time
import os.path
from os import path
#from root_numpy import tree2array, array2tree
#import numpy as np
#import pandas
import glob
import gc
#import tdrstyle,CMS_lumi
ROOT.gROOT.SetBatch(ROOT.kTRUE)
ROOT.ROOT.EnableImplicitMT()
from utils import histograms_dict, wps_years, wps, tags, luminosities, hlt_paths, triggersCorrections, hist_properties, init_mhhh, addMHHH, clean_variables, initialise_df, save_variables, init_get_max_prob, init_get_max_cat
from machinelearning import init_bdt, add_bdt, init_bdt_boosted, add_bdt_boosted
from calibrations import btag_init, addBTagSF, addBTagEffSF
from hhh_variables import add_hhh_variables
from optparse import OptionParser
parser = OptionParser()
parser.add_option("--base_folder ", type="string", dest="base", help="Folder in where to look for the categories", default='/isilon/data/users/mstamenk/eos-triple-h/v27-spanet-boosted-classification-variables/mva-inputs-2018/')
parser.add_option("--category ", type="string", dest="category", help="Category to compute it. if no argument is given will do all", default='none')
parser.add_option("--skip_do_trees", action="store_true", dest="skip_do_trees", help="Write...", default=False)
parser.add_option("--skip_do_histograms", action="store_true", dest="skip_do_histograms", help="Write...", default=False)
parser.add_option("--skip_do_plots", action="store_true", dest="skip_do_plots", help="Write...", default=False)
parser.add_option("--do_SR", action="store_true", dest="do_SR", help="Write...", default=False)
parser.add_option("--do_CR", action="store_true", dest="do_CR", help="Write...", default=False)
parser.add_option("--process ", type="string", dest="process_to_compute", help="Process to compute it. if no argument is given will do all", default='none')
parser.add_option("--do_limit_input ", type="string", dest="do_limit_input", help="If given it will do the histograms only in that variable with all the uncertainties", default='none')
## separate SR_CR as an option, this option would add _SR and _CR to the subfolder name
## add option to enter a process and if that is given to make the trees and histos only to it
## add option to add BDT computation here -- or not, we leave this only to MVA input variables -- the prefit plots already do data/MC
(options, args) = parser.parse_args()
do_limit_input = options.do_limit_input ## X: to implement
process_to_compute = options.process_to_compute
do_SR = options.do_SR
do_CR = options.do_CR
skip_do_trees = options.skip_do_trees
skip_do_histograms = options.skip_do_histograms
skip_do_plots = options.skip_do_plots
input_tree = options.base
cat = options.category
if do_SR and do_CR :
print("You should chose to signal region OR control region")
exit()
#define a function to find the highest prob for each event
compareProb='''
int compareProb(double ProbHHH,double ProbQCD,double ProbTT,double ProbVJets,double ProbVV){
if (ProbHHH>ProbQCD & ProbHHH>ProbTT & ProbHHH>ProbVJets & ProbHHH>ProbVV)
return 0;
else if (ProbQCD>ProbHHH & ProbQCD>ProbTT & ProbQCD>ProbVJets & ProbQCD>ProbVV)
return 1;
else if (ProbTT>ProbHHH & ProbTT>ProbQCD & ProbTT>ProbVJets & ProbTT>ProbVV)
return 2;
else
return 3;
}
'''
ROOT.gInterpreter.Declare(compareProb)
selections = {
#"final_selection_jetMultiplicity" : "(nbtags > 4 && nfatjets == 0) || (nbtags > 2 && nfatjets > 0)",
########################### categories for resolved ###############################
# SR for resolved 6L (bdt > 0.6 can change)
"gt5bloose_0PFfat" : {
"sel" : "(nloosebtags > 5 && nprobejets == 0 && nleps == 0 && ntaus ==0 && mva[0] > 0.6)",
"label" : "Resolved 6L",
"doSR" : "&& (h_fit_mass > 80 && h_fit_mass < 150)",
"doCR" : "&& !(h_fit_mass > 80 && h_fit_mass < 150)",
"dataset" : "resolved",
},
#SR for resolved 6L(exclude 6M from it) in order to combine 6L(veto 6M) and 6M
"gt5bloose_0PFfat_orthogonal" : {
"sel" : "(nloosebtags > 5 && nmediumbtags <6 && nleps == 0 && ntaus ==0 && nprobejets == 0 && mva[0] > 0.6 )",
"label" : "Resolved 6L(orthogonal)",
"doSR" : "&& (h_fit_mass > 80 && h_fit_mass < 150)",
"doCR" : "&& !(h_fit_mass > 80 && h_fit_mass < 150)",
"dataset" : "resolved",
},
#SR for resolved 6M in order to combine 6L(veto 6M) and 6M
"gt5bmedium_0PFfat" : {
"sel" : "(nmediumbtags > 5 && nleps == 0 && ntaus ==0 && nprobejets == 0 && mva[0] > 0.6 )",
"label" : "Resolved 6M",
"doSR" : "&& (h_fit_mass > 80 && h_fit_mass < 150)",
"doCR" : "&& !(h_fit_mass > 80 && h_fit_mass < 150)",
"dataset" : "resolved",
},
#CR for purer ttbar need at least 2 leptons (still need some cut to make it purer)
"6l_mt2l" : {
"sel" : "(nloosebtags >= 6 && nprobejets == 0 && nleps >= 2 && ntaus ==0)",
"label" : "6l_mt2l",
"doSR" : "&& (h_fit_mass > 80 && h_fit_mass < 150)",
"doCR" : "&& !(h_fit_mass > 80 && h_fit_mass < 150)",
"dataset" : "resolved",
},
#CR for ttbar need at least one lepton (the cut is loose than 6l_mt2l)
"6l_mt1l" : {
"sel" : "(nloosebtags >= 6 && nprobejets == 0 && nleps >= 1 && ntaus ==0 )",
"label" : "6l_mt1l",
"doSR" : "&& (h_fit_mass > 80 && h_fit_mass < 150)",
"doCR" : "&& !(h_fit_mass > 80 && h_fit_mass < 150)",
"dataset" : "resolved",
},
#CR for W +jets need 1 lepton (still need cut for met to make it purer)
"6l_1l" : {
"sel" : "(nloosebtags >= 6 && nprobejets == 0 && nleps == 1 && ntaus ==0 )",
"label" : "6l_1l",
"doSR" : "&& (h_fit_mass > 80 && h_fit_mass < 150)",
"doCR" : "&& !(h_fit_mass > 80 && h_fit_mass < 150)",
"dataset" : "resolved",
},
#CR for Z + jets need 2 lepton (need cut for met to distinguish it from ttbar)
"6l_2l" : {
"sel" : "(nloosebtags >= 6 && nprobejets == 0 && nleps == 2 && ntaus ==0 )",
"label" : "6l_2l",
"doSR" : "&& (h_fit_mass > 80 && h_fit_mass < 150)",
"doCR" : "&& !(h_fit_mass > 80 && h_fit_mass < 150)",
"dataset" : "resolved",
},
##6L(excluded 6M)category
"gt5bloose_0PFfat_" : {
"sel" : "(nloosebtags > 5 && nprobejets == 0 && nmediumbtags < 6)",
"label" : "Resolved 6L(exclude 6M)",
"doSR" : "&& (h_fit_mass > 80 && h_fit_mass < 150)",
"doCR" : "&& !(h_fit_mass > 80 && h_fit_mass < 150)",
"dataset" : "resolved",
},
######multiclass categories
"gt5bloose_0PFfat_multiclass_HHH" : {
"sel" : "(nloosebtags > 5 && nprobejets == 0 && nmediumbtags < 6 && compareProb(ProbHHH, ProbQCD, ProbTT, ProbVJets, ProbVV) == 0)",
"label" : "Resolved 6L(exclude 6M) HHH enriched",
"doSR" : "&& (h_fit_mass > 80 && h_fit_mass < 150)",
"doCR" : "&& !(h_fit_mass > 80 && h_fit_mass < 150)",
"dataset" : "resolved",
},
"gt5bloose_0PFfat_multiclass_QCD" : {
"sel" : "(nloosebtags > 5 && nprobejets == 0 && nmediumbtags < 6 && compareProb(ProbHHH, ProbQCD, ProbTT, ProbVJets, ProbVV) == 1)",
"label" : "Resolved 6L(exclude 6M) QCD enriched",
"doSR" : "&& (h_fit_mass > 80 && h_fit_mass < 150)",
"doCR" : "&& !(h_fit_mass > 80 && h_fit_mass < 150)",
"dataset" : "resolved",
},
"gt5bloose_0PFfat_multiclass_TT" : {
"sel" : "(nloosebtags > 5 && nprobejets == 0 && nmediumbtags < 6 && compareProb(ProbHHH, ProbQCD, ProbTT, ProbVJets, ProbVV) == 2)",
"label" : "Resolved 6L(exclude 6M) TT enriched",
"doSR" : "&& (h_fit_mass > 80 && h_fit_mass < 150)",
"doCR" : "&& !(h_fit_mass > 80 && h_fit_mass < 150)",
"dataset" : "resolved",
},
"gt5bloose_0PFfat_multiclass_rest" : {
"sel" : "(nloosebtags > 5 && nprobejets == 0 && nmediumbtags < 6 && compareProb(ProbHHH, ProbQCD, ProbTT, ProbVJets, ProbVV) == 3)",
"label" : "Resolved 6L(exclude 6M) VJets+VV enriched",
"doSR" : "&& (h_fit_mass > 80 && h_fit_mass < 150)",
"doCR" : "&& !(h_fit_mass > 80 && h_fit_mass < 150)",
"dataset" : "resolved",
},
"gt5bmedium_0PFfat_multiclass_HHH" : {
"sel" : "(nmediumbtags > 5 && nprobejets == 0 && compareProb(ProbHHH, ProbQCD, ProbTT, ProbVJets, ProbVV) == 0)",
"label" : "Resolved 6M HHH enriched",
"doSR" : "&& (h_fit_mass > 80 && h_fit_mass < 150)",
"doCR" : "&& !(h_fit_mass > 80 && h_fit_mass < 150)",
"dataset" : "resolved",
},
"gt5bmedium_0PFfat_multiclass_QCD" : {
"sel" : "(nmediumbtags > 5 && nprobejets == 0 && compareProb(ProbHHH, ProbQCD, ProbTT, ProbVJets, ProbVV) == 1)",
"label" : "Resolved 6M QCD enriched",
"doSR" : "&& (h_fit_mass > 80 && h_fit_mass < 150)",
"doCR" : "&& !(h_fit_mass > 80 && h_fit_mass < 150)",
"dataset" : "resolved",
},
"gt5bmedium_0PFfat_multiclass_TT" : {
"sel" : "(nmediumbtags > 5 && nprobejets == 0 && compareProb(ProbHHH, ProbQCD, ProbTT, ProbVJets, ProbVV) == 2)",
"label" : "Resolved 6M TT enriched",
"doSR" : "&& (h_fit_mass > 80 && h_fit_mass < 150)",
"doCR" : "&& !(h_fit_mass > 80 && h_fit_mass < 150)",
"dataset" : "resolved",
},
"gt5bmedium_0PFfat_multiclass_rest" : {
"sel" : "(nmediumbtags > 5 && nprobejets == 0 && compareProb(ProbHHH, ProbQCD, ProbTT, ProbVJets, ProbVV) == 3)",
"label" : "Resolved 6M VJets+VV enriched",
"doSR" : "&& (h_fit_mass > 80 && h_fit_mass < 150)",
"doCR" : "&& !(h_fit_mass > 80 && h_fit_mass < 150)",
"dataset" : "resolved",
},
#########################boosted categories####################
"1PFfat" : {
"sel" : "(nprobejets == 1)",
"label" : "Boosted (1 PN fat jet)",
"doSR" : "&& (fatJet1Mass > 80 && fatJet1Mass < 150)",
"doCR" : "&& !(fatJet1Mass > 80 && fatJet1Mass < 150)",
"dataset" : "boosted",
},
"gt1PFfat" : {
"sel" : "(nprobejets > 1)",
"label" : "Boosted (> 1 PN fat jet)",
"doSR" : "&& (fatJet1Mass > 80 && fatJet1Mass < 150)",
"doCR" : "&& !(fatJet1Mass > 80 && fatJet1Mass < 150)",
"dataset" : "boosted",
},
#"gt0PFfat" : {
# "sel" : "(nprobejets > 0)",
# "label" : "Boosted (> 0 PN fat jet)",
# "doSR" : "&& (fatJet1Mass > 80 && fatJet1Mass < 150)",
# "doCR" : "&& !(fatJet1Mass > 80 && fatJet1Mass < 150)",
# },
"1PNfatLoose" : {
"sel" : "(nprobejets == 1 && fatJet1PNetXbb > 0.95)",
"label" : "Boosted (1 PN fat jet) with PNet Xbb > 0.95",
"doSR" : "&& (fatJet1Mass > 80 && fatJet1Mass < 150)",
"doCR" : "&& !(fatJet1Mass > 80 && fatJet1Mass < 150)",
"dataset" : "boosted",
},
"gt1PNfatLoose" : {
"sel" : "(nprobejets > 1 && fatJet1PNetXbb > 0.95)",
"label" : "Boosted (> 1 PN fat jet) with PNet Xbb > 0.95",
"doSR" : "&& (fatJet1Mass > 80 && fatJet1Mass < 150)",
"doCR" : "&& !(fatJet1Mass > 80 && fatJet1Mass < 150)",
"dataset" : "boosted",
},
"1PNfatMedium" : {
"sel" : "(nprobejets == 1 && fatJet1PNetXbb > 0.975)",
"label" : "Boosted (1 PN fat jet) with PNet Xbb > 0.975",
"doSR" : "&& (fatJet1Mass > 80 && fatJet1Mass < 150)",
"doCR" : "&& !(fatJet1Mass > 80 && fatJet1Mass < 150)",
"dataset" : "boosted",
},
"gt1PNfatMedium" : {
"sel" : "(nprobejets > 1 && fatJet1PNetXbb > 0.975)",
"label" : "Boosted (> 1 PN fat jet) with PNet Xbb > 0.975",
"doSR" : "&& (fatJet1Mass > 80 && fatJet1Mass < 150)",
"doCR" : "&& !(fatJet1Mass > 80 && fatJet1Mass < 150)",
"dataset" : "boosted",
},
"1PNfatTight" : {
"sel" : "(nprobejets == 1 && fatJet1PNetXbb > 0.985)",
"label" : "Boosted (1 PN fat jet) with PNet Xbb > 0.985",
"doSR" : "&& (fatJet1Mass > 80 && fatJet1Mass < 150)",
"doCR" : "&& !(fatJet1Mass > 80 && fatJet1Mass < 150)",
"dataset" : "boosted",
},
"gt1PNfatTight" : {
"sel" : "(nprobejets > 1 && fatJet1PNetXbb > 0.985)",
"label" : "Boosted (> 1 PN fat jet) with PNet Xbb > 0.985",
"doSR" : "&& (fatJet1Mass > 80 && fatJet1Mass < 150)",
"doCR" : "&& !(fatJet1Mass > 80 && fatJet1Mass < 150)",
"dataset" : "boosted",
},
# nprobejets >= 1
"gt0PFfat_cat1" : {
"sel" : "(nprobejets > 0 && mvaBoosted[0] > 0.45 && fatJet1PNetXbb > 0.985)",
"label" : "Boosted category 1",
"doSR" : "&& (fatJet1Mass > 70)",
"doCR" : "&& !(fatJet1Mass > 80 && fatJet1Mass < 150)",
"dataset" : "boosted_mvacut0-run2-training",
},
"gt0PFfat_cat2" : {
"sel" : "(nprobejets > 0 && mvaBoosted[0] > 0.24 && mvaBoosted[0] < 0.45 && fatJet1PNetXbb > 0.985)",
"label" : "Boosted category 2",
"doSR" : "&& (fatJet1Mass > 70)",
"doCR" : "&& !(fatJet1Mass > 80 && fatJet1Mass < 150)",
"dataset" : "boosted_mvacut0-run2-training",
},
"gt0PFfat_cat3" : {
"sel" : "(nprobejets > 0 && mvaBoosted[0] > 0.45 && fatJet1PNetXbb < 0.985)",
"label" : "Boosted category 3",
"doSR" : "&& (fatJet1Mass > 70)",
"doCR" : "&& !(fatJet1Mass > 80 && fatJet1Mass < 150)",
"dataset" : "boosted_mvacut0-run2-training",
},
"gt0PFfat_cat4" : {
"sel" : "(nprobejets > 0 && mvaBoosted[0] > 0.15 && mvaBoosted[0] < 0.24 && fatJet1PNetXbb < 0.985)",
"label" : "Boosted category 4",
"doSR" : "&& (fatJet1Mass > 70)",
"doCR" : "&& !(fatJet1Mass > 80 && fatJet1Mass < 150)",
"dataset" : "boosted_mvacut0-run2-training-decorrelated",
},
"gt0PFfat_cat5" : {
"sel" : "(nprobejets > 0 && mvaBoosted[0] > 0.10 && mvaBoosted[0] < 0.24)",
"label" : "Boosted category 5",
"doSR" : "&& (fatJet1Mass > 70)",
"doCR" : "&& !(fatJet1Mass > 80 && fatJet1Mass < 150)",
"dataset" : "boosted_mvacut0-run2-training",
},
# nprobejets == 1
"1PFfat_cat1" : {
"sel" : "(nprobejets == 1 && mvaBoosted[0] > 0.45 && fatJet1PNetXbb > 0.985)",
"label" : "Boosted category 1",
"doSR" : "&& (fatJet1Mass > 70)",
"doCR" : "&& !(fatJet1Mass > 80 && fatJet1Mass < 150)",
"dataset" : "boosted_mvacut0-run2-training",
},
"1PFfat_cat2" : {
"sel" : "(nprobejets == 1 && mvaBoosted[0] > 0.25 && mvaBoosted[0] < 0.45 && fatJet1PNetXbb > 0.985)",
"label" : "Boosted category 2",
"doSR" : "&& (fatJet1Mass > 70)",
"doCR" : "&& !(fatJet1Mass > 80 && fatJet1Mass < 150)",
"dataset" : "boosted_mvacut0-run2-training",
},
"1PFfat_cat3" : {
"sel" : "(nprobejets == 1 && mvaBoosted[0] > 0.45 && fatJet1PNetXbb < 0.985)",
"label" : "Boosted category 3",
"doSR" : "&& (fatJet1Mass > 70)",
"doCR" : "&& !(fatJet1Mass > 80 && fatJet1Mass < 150)",
"dataset" : "boosted_mvacut0-run2-training",
},
"1PFfat_cat4" : {
"sel" : "(nprobejets == 1 && mvaBoosted[0] > 0.15 && mvaBoosted[0] < 0.25 && fatJet1PNetXbb < 0.985)",
"label" : "Boosted category 4",
"doSR" : "&& (fatJet1Mass > 70)",
"doCR" : "&& !(fatJet1Mass > 80 && fatJet1Mass < 150)",
"dataset" : "boosted_mvacut0-run2-training",
},
"1PFfat_cat5" : {
"sel" : "(nprobejets == 1 && mvaBoosted[0] > 0. && (mvaBoosted[0] < 0.25 || (mvaBoosted[0] < 0.45 && fatJet1PNetXbb < 0.985)))",
"label" : "Boosted category 5",
"doSR" : "&& (fatJet1Mass > 70)",
"doCR" : "&& !(fatJet1Mass > 80 && fatJet1Mass < 150)",
"dataset" : "boosted_mvacut0-run2-training",
},
# nprobejets >= 1
"gt1PFfat_cat1" : {
"sel" : "(nprobejets > 1 && mvaBoosted[0] > 0.43 && fatJet1PNetXbb > 0.975)",
"label" : "Boosted category 1",
"doSR" : "&& (fatJet1Mass > 70)",
"doCR" : "&& !(fatJet1Mass > 80 && fatJet1Mass < 150)",
"dataset" : "boosted_mvacut0-run2-training",
},
"gt1PFfat_cat2" : {
"sel" : "(nprobejets > 1 && mvaBoosted[0] > 0.25 && mvaBoosted[0] < 0.43 && fatJet1PNetXbb > 0.975)",
"label" : "Boosted category 2",
"doSR" : "&& (fatJet1Mass > 70)",
"doCR" : "&& !(fatJet1Mass > 80 && fatJet1Mass < 150)",
"dataset" : "boosted_mvacut0-run2-training",
},
"gt1PFfat_cat3" : {
"sel" : "(nprobejets > 1 && mvaBoosted[0] > 0.43 && fatJet1PNetXbb < 0.975)",
"label" : "Boosted category 3",
"doSR" : "&& (fatJet1Mass > 70)",
"doCR" : "&& !(fatJet1Mass > 80 && fatJet1Mass < 150)",
"dataset" : "boosted_mvacut0-run2-training",
},
"gt1PFfat_cat4" : {
"sel" : "(nprobejets > 1 && mvaBoosted[0] > 0.10 && mvaBoosted[0] < 0.19 && fatJet1PNetXbb < 0.985)",
"label" : "Boosted category 4",
"doSR" : "&& (fatJet1Mass > 70)",
"doCR" : "&& !(fatJet1Mass > 80 && fatJet1Mass < 150)",
"dataset" : "boosted_mvacut0-run2-training",
},
"gt1PFfat_cat5" : {
"sel" : "(nprobejets > 1 && mvaBoosted[0] > 0.0 && (mvaBoosted[0] < 0.25 || (mvaBoosted[0] < 0.43 && fatJet1PNetXbb < 0.975)))",
"label" : "Boosted category 5",
"doSR" : "&& (fatJet1Mass > 70)",
"doCR" : "&& !(fatJet1Mass > 80 && fatJet1Mass < 150)",
"dataset" : "boosted_mvacut0-run2-training",
},
# inclusive boosted category
"gt0PFfat" : {
"sel" : "(nprobejets > 0 && mvaBoosted[0] > 0.0 && fatJet1PNetXbb > 0.95)",
"label" : "Boosted category 3",
"doSR" : "&& (fatJet1Mass > 0)",
"doCR" : "&& !(fatJet1Mass > 80 && fatJet1Mass < 150)",
"dataset" : "boosted",
},
"1PFfat" : {
"sel" : "(nprobejets == 1 && mvaBoosted[0] > 0.0 && fatJet1PNetXbb > 0.95)",
"label" : "Boosted category 3",
"doSR" : "&& (fatJet1Mass > 0)",
"doCR" : "&& !(fatJet1Mass > 80 && fatJet1Mass < 150)",
"dataset" : "boosted_mvacut0-new",
},
"gt1PFfat" : {
"sel" : "(nprobejets > 1 && mvaBoosted[0] > 0.0 && fatJet1PNetXbb > 0.95)",
"label" : "Boosted category 3",
"doSR" : "&& (fatJet1Mass > 0)",
"doCR" : "&& !(fatJet1Mass > 80 && fatJet1Mass < 150)",
"dataset" : "boosted_mvacut0-new",
},
"gt0PFfat_PNetTight" : {
"sel" : "(nprobejets > 0 && mvaBoosted[0] > 0.0 && fatJet1PNetXbb > 0.985)",
"label" : "Boosted category 3",
"doSR" : "&& (fatJet1Mass > 0)",
"doCR" : "&& !(fatJet1Mass > 80 && fatJet1Mass < 150)",
"dataset" : "boosted",
},
"gt0PFfat_inclusive_0taus" : {
"sel" : "(nprobejets > 0 && ntaus == 0)",
"label" : ">= 1 AK8 and 0 had taus",
"doSR" : "&& (fatJet1Mass > 0)",
"doCR" : "&& !(fatJet1Mass > 80 && fatJet1Mass < 150)",
"dataset" : "boosted-weights",
},
"gt0PFfat_inclusive_0taus_resolved" : {
"sel" : "(nprobejets == 0 && ntaus == 0)",
"label" : ">= 1 AK8 and 0 had taus",
"doSR" : "&& (fatJet1Mass > 0)",
"doCR" : "&& !(fatJet1Mass > 80 && fatJet1Mass < 150)",
"dataset" : "resolved-weights",
},
"gt0PFfat_inclusive_1taus" : {
"sel" : "(nprobejets > 0 && ntaus == 1)",
"label" : ">= 1 AK8 and 1 had taus",
"doSR" : "&& (fatJet1Mass > 0)",
"doCR" : "&& !(fatJet1Mass > 80 && fatJet1Mass < 150)",
"dataset" : "boosted-weights",
},
"gt0PFfat_inclusive_2ptaus" : {
"sel" : "(nprobejets > 0 && ntaus >= 2)",
"label" : ">= 1 AK8 and >=2 had taus",
"doSR" : "&& (fatJet1Mass > 0)",
"doCR" : "&& !(fatJet1Mass > 80 && fatJet1Mass < 150)",
"dataset" : "boosted-weights",
},
"gt0PFfat_inclusive_0taus_PNetMedium" : {
"sel" : "(nprobejets > 0 && ntaus == 0 && (fatJet1PNetXbb / (fatJet1PNetXbb + fatJet1PNetQCD) > 0.9714))",
"label" : ">= 1 AK8 and 0 had taus",
"doSR" : "&& (fatJet1Mass > 0)",
"doCR" : "&& !(fatJet1Mass > 80 && fatJet1Mass < 150)",
"dataset" : "boosted-weights",
},
"gt0PFfat_inclusive_1taus_PNetMedium" : {
"sel" : "(nprobejets > 0 && ntaus == 1 && (fatJet1PNetXbb / (fatJet1PNetXbb + fatJet1PNetQCD) > 0.9714))",
"label" : ">= 1 AK8 and 1 had taus",
"doSR" : "&& (fatJet1Mass > 0)",
"doCR" : "&& !(fatJet1Mass > 80 && fatJet1Mass < 150)",
"dataset" : "boosted-weights",
},
"gt0PFfat_inclusive_2ptaus_PNetMedium" : {
"sel" : "(nprobejets > 0 && ntaus >= 2 && (fatJet1PNetXbb / (fatJet1PNetXbb + fatJet1PNetQCD) > 0.9714))",
"label" : ">= 1 AK8 and >=2 had taus",
"doSR" : "&& (fatJet1Mass > 0)",
"doCR" : "&& !(fatJet1Mass > 80 && fatJet1Mass < 150)",
"dataset" : "boosted-weights",
},
"gt0PFfat_inclusive_0taus_PNetTight" : {
"sel" : "(nprobejets > 0 && ntaus == 0 && (fatJet1PNetXbb / (fatJet1PNetXbb + fatJet1PNetQCD) > 0.988))",
"label" : ">= 1 AK8 and 0 had taus",
"doSR" : "&& (fatJet1Mass > 0)",
"doCR" : "&& !(fatJet1Mass > 80 && fatJet1Mass < 150)",
"dataset" : "boosted-weights",
},
"gt0PFfat_inclusive_1taus_PNetTight" : {
"sel" : "(nprobejets > 0 && ntaus == 1 && (fatJet1PNetXbb / (fatJet1PNetXbb + fatJet1PNetQCD) > 0.988))",
"label" : ">= 1 AK8 and 1 had taus",
"doSR" : "&& (fatJet1Mass > 0)",
"doCR" : "&& !(fatJet1Mass > 80 && fatJet1Mass < 150)",
"dataset" : "boosted-weights",
},
"gt0PFfat_inclusive_2ptaus_PNetTight" : {
"sel" : "(nprobejets > 0 && ntaus >= 2 && (fatJet1PNetXbb / (fatJet1PNetXbb + fatJet1PNetQCD) > 0.988))",
"label" : ">= 1 AK8 and >=2 had taus",
"doSR" : "&& (fatJet1Mass > 0)",
"doCR" : "&& !(fatJet1Mass > 80 && fatJet1Mass < 150)",
"dataset" : "boosted-weights",
},
"gt0PFfat_inclusive_0taus_PNetTight_mvacut02" : {
"sel" : "(nprobejets > 0 && ntaus == 0 && (fatJet1PNetXbb / (fatJet1PNetXbb + fatJet1PNetQCD) > 0.988) && mvaBoosted[0] > 0.2)",
"label" : ">= 1 AK8 and 0 had taus",
"doSR" : "&& (fatJet1Mass > 0)",
"doCR" : "&& !(fatJet1Mass > 80 && fatJet1Mass < 150)",
"dataset" : "boosted-weights",
},
"gt0PFfat_inclusive_1taus_PNetTight_mvacut02" : {
"sel" : "(nprobejets > 0 && ntaus == 1 && (fatJet1PNetXbb / (fatJet1PNetXbb + fatJet1PNetQCD) > 0.988) && mvaBoosted[0] > 0.2)",
"label" : ">= 1 AK8 and 1 had taus",
"doSR" : "&& (fatJet1Mass > 0)",
"doCR" : "&& !(fatJet1Mass > 80 && fatJet1Mass < 150)",
"dataset" : "boosted-weights",
},
"gt0PFfat_inclusive_2ptaus_PNetTight_mvacut02" : {
"sel" : "(nprobejets > 0 && ntaus >= 2 && (fatJet1PNetXbb / (fatJet1PNetXbb + fatJet1PNetQCD) > 0.988) && mvaBoosted[0] > 0.2)",
"label" : ">= 1 AK8 and >=2 had taus",
"doSR" : "&& (fatJet1Mass > 0)",
"doCR" : "&& !(fatJet1Mass > 80 && fatJet1Mass < 150)",
"dataset" : "boosted-weights",
},
"gt0PFfat_inclusive_0taus_0leps" : {
"sel" : "(nprobejets > 0 && ntaus == 0 && nleps == 0)",
"label" : ">= 1 AK8 and 0 had taus",
"doSR" : "&& (fatJet1Mass > 0)",
"doCR" : "&& !(fatJet1Mass > 80 && fatJet1Mass < 150)",
"dataset" : "boosted-weights",
},
"gt0PFfat_inclusive_1taus_1leps" : {
"sel" : "(nprobejets > 0 && ntaus == 1 && nleps == 1)",
"label" : ">= 1 AK8 and 1 had taus",
"doSR" : "&& (fatJet1Mass > 0)",
"doCR" : "&& !(fatJet1Mass > 80 && fatJet1Mass < 150)",
"dataset" : "boosted-weights",
},
"gt0PFfat_inclusive_2ptaus_0leps" : {
"sel" : "(nprobejets > 0 && ntaus >= 2 && nleps == 0)",
"label" : ">= 1 AK8 and >=2 had taus",
"doSR" : "&& (fatJet1Mass > 0)",
"doCR" : "&& !(fatJet1Mass > 80 && fatJet1Mass < 150)",
"dataset" : "boosted-weights",
},
"gt0PFfat_inclusive_0taus_0leps_mvacut0" : {
"sel" : "(nprobejets > 0 && ntaus == 0 && nleps == 0 && mvaBoosted[0] > 0.0)",
"label" : ">= 1 AK8 and 0 had taus",
"doSR" : "&& (fatJet1Mass > 0)",
"doCR" : "&& !(fatJet1Mass > 80 && fatJet1Mass < 150)",
"dataset" : "boosted-weights",
},
"gt0PFfat_inclusive_1taus_1leps_mvacut0" : {
"sel" : "(nprobejets > 0 && ntaus == 1 && nleps == 1 && mvaBoosted[0] > 0.0)",
"label" : ">= 1 AK8 and 1 had taus",
"doSR" : "&& (fatJet1Mass > 0)",
"doCR" : "&& !(fatJet1Mass > 80 && fatJet1Mass < 150)",
"dataset" : "boosted-weights",
},
"gt0PFfat_inclusive_2ptaus_0leps_mvacut0" : {
"sel" : "(nprobejets > 0 && ntaus >= 2 && nleps == 0 && mvaBoosted[0] > 0.0)",
"label" : ">= 1 AK8 and >=2 had taus",
"doSR" : "&& (fatJet1Mass > 0)",
"doCR" : "&& !(fatJet1Mass > 80 && fatJet1Mass < 150)",
"dataset" : "boosted-weights",
},
"1PFfat_inclusive_mvacut0" : {
"sel" : "(nprobejets == 1 && mvaBoosted[0] > 0.0 && fatJet1Pt < 450)",
"label" : ">= 1 AK8 ",
"doSR" : "&& (fatJet1Mass > 0)",
"doCR" : "&& !(fatJet1Mass > 80 && fatJet1Mass < 150)",
"dataset" : "boosted-weights",
},
"1PFfat_inclusive_mvacut0_pt450" : {
"sel" : "(nprobejets == 1 && mvaBoosted[0] > 0.0 && fatJet1Pt > 450)",
"label" : ">= 1 AK8 ",
"doSR" : "&& (fatJet1Mass > 0)",
"doCR" : "&& !(fatJet1Mass > 80 && fatJet1Mass < 150)",
"dataset" : "boosted-weights",
},
"gt1PFfat_inclusive_mvacut0" : {
"sel" : "(nprobejets > 1 && mvaBoosted[0] > 0.0 && fatJet1Pt < 450)",
"label" : ">= 1 AK8",
"doSR" : "&& (fatJet1Mass > 0)",
"doCR" : "&& !(fatJet1Mass > 80 && fatJet1Mass < 150)",
"dataset" : "boosted-weights",
},
"gt1PFfat_inclusive_mvacut0_pt450" : {
"sel" : "(nprobejets > 1 && mvaBoosted[0] > 0.0 && fatJet1Pt > 450)",
"label" : ">= 1 AK8",
"doSR" : "&& (fatJet1Mass > 0)",
"doCR" : "&& !(fatJet1Mass > 80 && fatJet1Mass < 150)",
"dataset" : "boosted-weights",
},
# resolved
"5bloose_0PFfat_cat1" : {
"sel" : "(nloosebtags == 5 && nprobejets == 0 && mva[0] > 0.42)",
"label" : "Resolved 5L",
"doSR" : "&& (h1_t3_mass > 70)",
"doCR" : "&& !(h_fit_mass > 80 && h_fit_mass < 150)",
"dataset" : "resolved-mvacut0-run2-training-MVA-resolved",
},
"5bloose_0PFfat_cat2" : {
"sel" : "(nloosebtags == 5 && nprobejets == 0 && mva[0] > 0.25 && mva[0] < 0.42)",
"label" : "Resolved 5L",
"doSR" : "&& (h1_t3_mass > 70)",
"doCR" : "&& !(h_fit_mass > 80 && h_fit_mass < 150)",
"dataset" : "resolved-mvacut0-run2-training-MVA-resolved",
},
"5bloose_0PFfat_cat3" : {
"sel" : "(nloosebtags == 5 && nprobejets == 0 && mva[0] < 0.25)",
"label" : "Resolved 5L",
"doSR" : "&& (h1_t3_mass > 70)",
"doCR" : "&& !(h_fit_mass > 80 && h_fit_mass < 150)",
"dataset" : "resolved-mvacut0-run2-training-MVA-resolved",
},
"gt5bloose_0PFfat_cat1" : {
"sel" : "(nloosebtags > 5 && nprobejets == 0 && mva[0] > 0.42)",
"label" : "Resolved 6L",
"doSR" : "&& (h1_t3_mass > 70)",
"doCR" : "&& !(h_fit_mass > 80 && h_fit_mass < 150)",
"dataset" : "resolved-mvacut0-run2-training-MVA-resolved",
},
"gt5bloose_0PFfat_cat2" : {
"sel" : "(nloosebtags > 5 && nprobejets == 0 && mva[0] > 0.25 && mva[0] < 0.42)",
"label" : "Resolved 6L",
"doSR" : "&& (h1_t3_mass > 70)",
"doCR" : "&& !(h_fit_mass > 80 && h_fit_mass < 150)",
"dataset" : "resolved-mvacut0-run2-training-MVA-resolved",
},
"gt5bloose_0PFfat_cat3" : {
"sel" : "(nloosebtags > 5 && nprobejets == 0 && mva[0] < 0.25)",
"label" : "Resolved 6L",
"doSR" : "&& (h1_t3_mass > 70)",
"doCR" : "&& !(h_fit_mass > 80 && h_fit_mass < 150)",
"dataset" : "resolved-mvacut0-run2-training-MVA-resolved",
},
"mva4b" : {
"sel" : "(nloosebtags > 4 && nprobejets == 0 )",
"label" : "Resolved 6L",
"doSR" : "&& (h1_t3_mass > 70)",
"doCR" : "&& !(h_fit_mass > 80 && h_fit_mass < 150)",
"dataset" : "resolved-mvacut0-run2-training-boostedMVA",
},
"mva5b" : {
"sel" : "(nloosebtags == 5 && nprobejets == 0 )",
"label" : "Resolved 6L",
"doSR" : "&& (h1_t3_mass > 70)",
"doCR" : "&& !(h_fit_mass > 80 && h_fit_mass < 150)",
"dataset" : "resolved-mvacut0-run2-training-boostedMVA",
},
"mva6b" : {
"sel" : "(nloosebtags > 5 && nprobejets == 0 )",
"label" : "Resolved 6L",
"doSR" : "&& (h1_t3_mass > 70)",
"doCR" : "&& !(h_fit_mass > 80 && h_fit_mass < 150)",
"dataset" : "resolved-mvacut0-run2-training-boostedMVA",
},
"ProbHHH_single" : {
"sel" : "(nprobejets == 1)",
"label" : "ProbHHH single",
"doSR" : "&& (ProbMultiH > 0.2)",
"doCR" : "&& !(ProbHHH > 0.2)",
"dataset" : "boosted-weights",
},
"ProbHHH_double" : {
"sel" : "(nprobejets >= 2)",
"label" : "ProbHHH double",
"doSR" : "&& (ProbMultiH > 0.2)",
"doCR" : "&& !(ProbHHH > 0.2)",
"dataset" : "boosted-weights",
},
"ProbHHH_inclusive" : {
"sel" : "(nprobejets >= 1)",
"label" : "ProbHHH inclusive",
"doSR" : "&& (ProbMultiH > 0.2)",
"doCR" : "&& !(ProbHHH > 0.2)",
"dataset" : "boosted-weights",
},
"ProbHHH_resolved" : {
"sel" : "(nprobejets == 0)",
"label" : "ProbHHH single",
"doSR" : "&& (ProbMultiH > 0.2)",
"doCR" : "&& !(h_fit_mass > 80 && h_fit_mass < 150)",
"dataset" : "resolved-weights",
},
"ProbHHH_single_0tau" : {
"sel" : "(nprobejets == 1 && ntaus == 0)",
"label" : "ProbHHH single",
"doSR" : "&& (ProbMultiH > 0.2)",
"doCR" : "&& !(ProbHHH > 0.2)",
"dataset" : "boosted-weights",
},
"ProbHHH_double_0tau" : {
"sel" : "(nprobejets >= 2 && ntaus == 0)",
"label" : "ProbHHH double",
"doSR" : "&& (ProbMultiH > 0.2)",
"doCR" : "&& !(ProbHHH > 0.2)",
"dataset" : "boosted-weights",
},
"ProbHHH_inclusive_0tau" : {
"sel" : "(nprobejets >= 1 && ntaus == 0)",
"label" : "ProbHHH inclusive",
"doSR" : "&& (ProbMultiH > 0.2)",
"doCR" : "&& !(ProbHHH > 0.2)",
"dataset" : "boosted-weights",
},
"ProbHHH_resolved_0tau" : {
"sel" : "(nprobejets == 0 && ntaus == 0)",
"label" : "ProbHHH single",
"doSR" : "&& (ProbMultiH > 0.2)",
"doCR" : "&& !(h_fit_mass > 80 && h_fit_mass < 150)",
"dataset" : "resolved-weights",
},
"ProbHHH_single_1tau" : {
"sel" : "(nprobejets == 1 && ntaus == 1)",
"label" : "ProbHHH single",
"doSR" : "&& (ProbMultiH > 0.2)",
"doCR" : "&& !(ProbHHH > 0.2)",
"dataset" : "boosted-weights",
},
"ProbHHH_double_1tau" : {
"sel" : "(nprobejets >= 2 && ntaus == 1)",
"label" : "ProbHHH double",
"doSR" : "&& (ProbMultiH > 0.2)",
"doCR" : "&& !(ProbHHH > 0.2)",
"dataset" : "boosted-weights",
},
"ProbHHH_inclusive_1tau" : {
"sel" : "(nprobejets >= 1 && ntaus == 1)",
"label" : "ProbHHH inclusive",
"doSR" : "&& (ProbMultiH > 0.2)",
"doCR" : "&& !(ProbHHH > 0.2)",
"dataset" : "boosted-weights",
},
"ProbHHH_resolved_1tau" : {
"sel" : "(nprobejets == 0 && ntaus == 1)",
"label" : "ProbHHH single",
"doSR" : "&& (ProbMultiH > 0.2)",
"doCR" : "&& !(h_fit_mass > 80 && h_fit_mass < 150)",
"dataset" : "resolved-weights",
},
"ProbHHH_single_2tau" : {
"sel" : "(nprobejets == 1 && ntaus == 2)",
"label" : "ProbHHH single",
"doSR" : "&& (ProbMultiH > 0.2)",
"doCR" : "&& !(ProbHHH > 0.2)",
"dataset" : "boosted-weights",
},
"ProbHHH_double_2tau" : {
"sel" : "(nprobejets >= 2 && ntaus == 2)",
"label" : "ProbHHH double",
"doSR" : "&& (ProbMultiH > 0.2)",
"doCR" : "&& !(ProbHHH > 0.2)",
"dataset" : "boosted-weights",
},
"ProbHHH_inclusive_2tau" : {
"sel" : "(nprobejets >= 1 && ntaus == 2)",
"label" : "ProbHHH inclusive",
"doSR" : "&& (ProbMultiH > 0.2)",
"doCR" : "&& !(ProbHHH > 0.2)",
"dataset" : "boosted-weights",
},
"ProbHHH_resolved_2tau" : {
"sel" : "(nprobejets == 0 && ntaus == 2)",
"label" : "ProbHHH single",
"doSR" : "&& (ProbMultiH > 0.2)",
"doCR" : "&& !(h_fit_mass > 80 && h_fit_mass < 150)",
"dataset" : "resolved-weights",
},
"ProbHHH_double_0tau_jets" : {
"sel" : "(nprobejets >= 2 && ntaus == 0)",
"label" : "ProbHHH double",
"doSR" : "&& (ProbMultiH > 0.2 && (ProbHHH + ProbHHH4b2tau) > (ProbHH4b + ProbHH2b2tau))",
"doCR" : "&& (ProbHHH > 0.2 && (ProbHHH + ProbHHH4b2tau) < (ProbHH4b + ProbHH2b2tau))",
"dataset" : "boosted-weights",
},
"ProbHHH_single_0tau_jets" : {
"sel" : "(nprobejets == 1 && ntaus == 0)",
"label" : "ProbHHH double",
"doSR" : "&& (ProbMultiH > 0.2 && (ProbHHH + ProbHHH4b2tau) > (ProbHH4b + ProbHH2b2tau))",
"doCR" : "&& (ProbHHH > 0.2 && (ProbHHH + ProbHHH4b2tau) < (ProbHH4b + ProbHH2b2tau))",
"dataset" : "boosted-weights",
},
"ProbHHH_double_1tau_jets" : {
"sel" : "(nprobejets >= 2 && ntaus == 1 && nleps == 1)",
"label" : "ProbHHH double",
"doSR" : "&& (ProbMultiH > 0.2)",
"doCR" : "&& (ProbHHH > 0.2)",
"dataset" : "boosted-weights",
},
"ProbHHH_single_1tau_jets" : {
"sel" : "(nprobejets == 1 && ntaus == 1 && nleps == 1)",
"label" : "ProbHHH double",
"doSR" : "&& (ProbMultiH > 0.2)",
"doCR" : "&& (ProbHHH > 0.2)",
"dataset" : "boosted-weights",
},
"ProbHHH_inclusive_1tau_jets" : {
"sel" : "(nprobejets >= 1 && ntaus == 1)",
"label" : "ProbHHH double",
"doSR" : "&& (ProbMultiH > 0.2 && nleps == 1)",
"doCR" : "&& (ProbHHH > 0.2 && nleps != 1)",
"dataset" : "boosted-weights",
},
"ProbHHH_inclusive_2tau_jets" : {
"sel" : "(nprobejets >= 1 && ntaus > 1 )",
"label" : "ProbHHH double",
"doSR" : "&& (ProbMultiH > 0.2 && nleps == 0)",
"doCR" : "&& (ProbHHH > 0.2 && nleps != 0)",
"dataset" : "boosted-weights",
},
"ProbHHH6b_3bh0h_inclusive" : {
"sel" : "(IndexMaxProb == 1 && IndexMaxCat == 1 )",
"label" : "ProbHHH ",
"doSR" : "&& ProbHHH > 0.0 ",
"doCR" : "&& (ProbHHH > 0.2)",
"dataset" : "-weights",
},
"ProbHHH6b_2bh1h_inclusive" : {
"sel" : "(IndexMaxProb == 1 && IndexMaxCat == 2 )",
"label" : "ProbHHH ",
"doSR" : "&& ProbHHH > 0.0 ",
"doCR" : "&& (ProbHHH > 0.2)",
"dataset" : "-weights",
},
"ProbHHH6b_1bh2h_inclusive" : {
"sel" : "(IndexMaxProb == 1 && IndexMaxCat == 3 )",
"label" : "ProbHHH ",
"doSR" : "&& ProbHHH > 0.0 ",
"doCR" : "&& (ProbHHH > 0.2)",
"dataset" : "-weights",
},
"ProbHHH6b_0bh3h_inclusive" : {
"sel" : "(IndexMaxProb == 1 && IndexMaxCat == 4 )",
"label" : "ProbHHH ",
"doSR" : "&& ProbHHH > 0.0 ",
"doCR" : "&& (ProbHHH > 0.2)",
"dataset" : "-weights",
},
"ProbHHH6b_2bh0h_inclusive" : {
"sel" : "(IndexMaxProb == 1 && IndexMaxCat == 5)",
"label" : "ProbHHH ",
"doSR" : "&& ProbHHH > 0.0 ",
"doCR" : "&& (ProbHHH > 0.2)",
"dataset" : "-weights",
},
"ProbHHH6b_1bh1h_inclusive" : {
"sel" : "(IndexMaxProb == 1 && IndexMaxCat == 6)",
"label" : "ProbHHH ",
"doSR" : "&& ProbHHH > 0.0 ",
"doCR" : "&& (ProbHHH > 0.2)",
"dataset" : "-weights",
},
"ProbHHH6b_0bh2h_inclusive" : {
"sel" : "(IndexMaxProb == 1 && IndexMaxCat == 7)",
"label" : "ProbHHH ",
"doSR" : "&& ProbHHH > 0.0 ",
"doCR" : "&& (ProbHHH > 0.2)",
"dataset" : "-weights",
},
"ProbHHH6b_1bh0h_inclusive" : {
"sel" : "(IndexMaxProb == 1 && IndexMaxCat == 8)",
"label" : "ProbHHH ",
"doSR" : "&& ProbHHH > 0.0 ",
"doCR" : "&& (ProbHHH > 0.2)",
"dataset" : "-weights",
},
"ProbHHH6b_0bh1h_inclusive" : {
"sel" : "(IndexMaxProb == 1 && IndexMaxCat == 9)",
"label" : "ProbHHH ",
"doSR" : "&& ProbHHH > 0.0 ",
"doCR" : "&& (ProbHHH > 0.2)",
"dataset" : "-weights",
},
"ProbHHH6b_0bh0h_inclusive" : {
"sel" : "(IndexMaxProb == 1 && IndexMaxCat == 0)",
"label" : "ProbHHH ",
"doSR" : "&& ProbHHH > 0.0 ",
"doCR" : "&& (ProbHHH > 0.2)",
"dataset" : "-weights",
},
"ProbHHH6b_3Higgs_inclusive" : {
"sel" : "(IndexMaxProb == 1 && (IndexMaxCat == 1 || IndexMaxCat == 2 || IndexMaxCat == 3 || IndexMaxCat == 4))",
"label" : "ProbHHH ",
"doSR" : "&& ProbHHH > 0.0 ",
"doCR" : "&& (ProbHHH > 0.2)",
"dataset" : "-weights",
},
"ProbHHH6b_2Higgs_inclusive" : {
"sel" : "(IndexMaxProb == 1 && (IndexMaxCat == 5 || IndexMaxCat == 6 || IndexMaxCat == 7 ))",
"label" : "ProbHHH ",
"doSR" : "&& ProbHHH > 0.0 ",
"doCR" : "&& (ProbHHH > 0.2)",
"dataset" : "-weights",
},
"ProbHHH6b_1Higgs_inclusive" : {
"sel" : "(IndexMaxProb == 1 && (IndexMaxCat == 8 || IndexMaxCat == 9 ))",
"label" : "ProbHHH ",
"doSR" : "&& ProbHHH > 0.0 ",
"doCR" : "&& (ProbHHH > 0.2)",
"dataset" : "-weights",
},
# HH
"ProbHH4b_3bh0h_inclusive" : {
"sel" : "(IndexMaxProb == 7 && IndexMaxCat == 1 )",
"label" : "ProbHHH ",
"doSR" : "&& ProbHHH > 0.0 ",
"doCR" : "&& (ProbHHH > 0.0 && nmediumbtags >= 4)",
"dataset" : "-weights",
},
"ProbHH4b_2bh1h_inclusive" : {
"sel" : "(IndexMaxProb == 7 && IndexMaxCat == 2 )",
"label" : "ProbHHH ",
"doSR" : "&& ProbHHH > 0.0 ",
"doCR" : "&& (ProbHHH > 0. && nmediumbtags >= 4)",
"dataset" : "-weights",
},
"ProbHH4b_1bh2h_inclusive" : {
"sel" : "(IndexMaxProb == 7 && IndexMaxCat == 3 )",
"label" : "ProbHHH ",
"doSR" : "&& ProbHHH > 0.0 ",