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singleStopAnalyzer.py
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singleStopAnalyzer.py
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#!/usr/bin/env python
from PhysicsTools.NanoAODTools.postprocessing.framework.eventloop import Module
from PhysicsTools.NanoAODTools.postprocessing.framework.datamodel import Collection
from PhysicsTools.NanoAODTools.postprocessing.framework.postprocessor import PostProcessor
from importlib import import_module
import os
import sys
import ROOT
import glob
import argparse
from math import sqrt,fabs,copysign
from numpy import mean,std
from itertools import combinations
ROOT.PyConfig.IgnoreCommandLineOptions = True
class ExampleAnalysis(Module):
def __init__(self,isData,isSignal,MCCampaign,isSkimmed,isCR0b):
self.writeHistFile = True
self.isSignal = isSignal
self.MCCampaign = MCCampaign
self.isSkimmed = isSkimmed
self.isData = isData
self.isCR0b = isCR0b
def create2DHists(self,titles,labels,*args):
for i,title in enumerate(titles):
setattr(self,'h_{}'.format(title),ROOT.TH2D(title,'{}'.format(labels[i]),*args))
def fill2DHists(self,titles,xVals,yVals,genWeight):
for i,title in enumerate(titles):
getattr(self,'h_{}'.format(title)).Fill(xVals[i],yVals[i],genWeight)
def beginJob(self, histFile=None, histDirName=None):
Module.beginJob(self, histFile, histDirName)
self.h_nEventsPostPre = ROOT.TH1D('nEventsPostPre', ';N_{events} (post-preselection)', 1, 0, 1 )
self.h_cutflow = ROOT.TH1D('cutflow', ';Cut', 10, 0, 10 )
#-----------------------------------------------------------------------
# GEN
#-----------------------------------------------------------------------
# Gen-level (before parton showering)
self.h_HTLHE = ROOT.TH1F('HTLHE', ';H_{T,LHE} [GeV]', 150, 0, 3000 )
self.h_nQLHE = ROOT.TH1D('nQLHE', ';N_{q} (LHE)', 7, 0, 7 )
self.h_nGLHE = ROOT.TH1D('nGLHE', ';N_{g} (LHE)', 7, 0, 7 )
self.h_nJLHE = ROOT.TH1D('nJLHE', ';N_{j} (LHE)', 7, 0, 7 )
# Jet kinematics
self.h_pT1Gen = ROOT.TH1F('pT1Gen', ';p_{T,1}^{gen} [GeV]', 75, 0, 1500 )
self.h_pT2Gen = ROOT.TH1F('pT2Gen', ';p_{T,2}^{gen} [GeV]', 75, 0, 1500 )
self.h_pT3Gen = ROOT.TH1F('pT3GEn', ';p_{T,3}^{gen} [GeV]', 75, 0, 1500 )
self.h_pT4Gen = ROOT.TH1F('pT4Gen', ';p_{T,4}^{gen} [GeV]', 75, 0, 1500 )
self.h_eta1Gen = ROOT.TH1F('eta1Gen', ';#eta_{1}^{gen}', 80, -8, 8 )
self.h_eta2Gen = ROOT.TH1F('eta2Gen', ';#eta_{2}^{gen}', 80, -8, 8 )
self.h_eta3Gen = ROOT.TH1F('eta3Gen', ';#eta_{3}^{gen}', 80, -8, 8 )
self.h_eta4Gen = ROOT.TH1F('eta4Gen', ';#eta_{4}^{gen}', 80, -8, 8 )
# SUSY particle kinematics
self.h_pTStop = ROOT.TH1F('pTStop', ';p_{T,#tilde{t}} [GeV]', 75, 0, 1500 )
self.h_pTStopPlus = ROOT.TH1F('pTStopPlus', ';p_{T,#tilde{t}^{+2/3}} [GeV]', 75, 0, 1500 )
self.h_pTStopMinus = ROOT.TH1F('pTStopMinus', ';p_{T,#tilde{t}^{-2/3}} [GeV]', 75, 0, 1500 )
self.h_pTChi = ROOT.TH1F('pTChi', ';p_{T,#tilde{#chi}^{#pm}} [GeV]', 75, 0, 1500 )
self.h_pTChiPlus = ROOT.TH1F('pTChiPlus', ';p_{T,#chi^{+}} [GeV]', 75, 0, 1500 )
self.h_pTChiMinus = ROOT.TH1F('pTChiMinus', ';p_{T,#chi^{-}} [GeV]', 75, 0, 1500 )
self.h_pTBStop = ROOT.TH1F('pTBStop', ';p_{T,b from #tilde{t}} [GeV]', 75, 0, 1500 )
self.h_pTBStopPlus = ROOT.TH1F('pTBStopPlus', ';p_{T,b from #tilde{t}^{+2/3}} [GeV]', 75, 0, 1500 )
self.h_pTBStopMinus = ROOT.TH1F('pTBStopMinus', ';p_{T,b from #tilde{t}^{-2/3}} [GeV]', 75, 0, 1500 )
self.h_pTBChi = ROOT.TH1F('pTBChi', ';p_{T,b from #tilde{#chi}^{#pm}} [GeV]',75, 0, 1500 )
self.h_pTBChiPlus = ROOT.TH1F('pTBChiPlus', ';p_{T,b from #chi^{+}} [GeV]', 75, 0, 1500 )
self.h_pTBChiMinus = ROOT.TH1F('pTBChiMinus', ';p_{T,b from #chi^{-}} [GeV]', 75, 0, 1500 )
self.h_etaStop = ROOT.TH1F('etaStop', ';#eta_{#tilde{t}}', 80, -8, 8 )
self.h_etaStopPlus = ROOT.TH1F('etaStopPlus', ';#eta_{#tilde{t}^{+2/3}}', 80, -8, 8 )
self.h_etaStopMinus = ROOT.TH1F('etaStopMinus', ';eta_{#tilde{t}^{-2/3}}', 80, -8, 8 )
self.h_etaChi = ROOT.TH1F('etaChi', ';#eta_{#tilde{#chi}^{#pm}}', 80, -8, 8 )
self.h_etaChiPlus = ROOT.TH1F('etaChiPlus', ';#eta_{#chi^{+}}', 80, -8, 8 )
self.h_etaChiMinus = ROOT.TH1F('etaChiMinus', ';#eta_{#chi^{-}}', 80, -8, 8 )
self.h_etaBStop = ROOT.TH1F('etaBStop', ';eta_{b from #tilde{t}}', 80, -8, 8 )
self.h_etaBStopPlus = ROOT.TH1F('etaBStopPlus', ';eta_{b from #tilde{t}^{+2/3}}', 80, -8, 8 )
self.h_etaBStopMinus = ROOT.TH1F('etaBStopMinus', ';eta_{b from #tilde{t}^{-2/3}}', 80, -8, 8 )
self.h_etaBChi = ROOT.TH1F('etaBChi' , ';eta_{b from #tilde{#chi}^{#pm}}', 80, -8, 8 )
self.h_etaBChiPlus = ROOT.TH1F('etaBChiPlus', ';eta_{b from #chi^{+}}', 80, -8, 8 )
self.h_etaBChiMinus = ROOT.TH1F('etaBChiMinus', ';eta_{b from #chi^{-}}', 80, -8, 8 )
self.h_dEtaBChi = ROOT.TH1F('dEtaBChi', ';|#Delta#eta_{b,#tilde{#chi}^{#pm}}|', 50, 0, 5.0 )
self.h_dPhiBChi = ROOT.TH1F('dPhiBChi', ';|#Delta#phi_{b,#tilde{#chi}^{#pm}}|', 50, 0, 5.0 )
self.h_nJetsChiMerged = ROOT.TH1D('nJetsChiMerged', ';N_{j} matched with #tilde{#chi}^{#pm}',4, 0, 4 )
self.h_dRBB = ROOT.TH1F('dRBB', ';#DeltaR_{b,b}', 35, 0, 7 )
self.h_dEtaBB = ROOT.TH1F('dEtaBB', ';|#Delta#eta_{b,b}|', 50, 0, 5.0 )
self.h_dPhiBB = ROOT.TH1F('dPhiBB', ';|#Delta#phi_{b,b}|', 50, 0, 5.0 )
self.h_passDijet = ROOT.TH1D('passDijet', ';Pass Dijet Search Requirements', 2, 0, 2 )
self.h_dEtaWJs = ROOT.TH1F('dEtaWJs', ';|#Delta#eta_{j,j}| (wide jets)', 50, 0, 5.0 )
self.h_mWJs = ROOT.TH1F('mWJs', ';m_jj (wide jets) [GeV]', 150, 0, 3000 )
self.h_dRChiMax = ROOT.TH1F('dRChiMax', ';#Delta R_{#tilde{#chi}^{#pm},max}', 40, 0, 8 )
self.h_dRBChi = ROOT.TH1F('dRBChi', ';#Delta R_{b,#tilde{#chi}^{#pm}}', 35, 0, 7 )
self.h_pTBVsChi = ROOT.TH2F('pTBVsChi', ';p_{T,#tilde{#tilde{#chi}^{#pm}}} [GeV];p_{T,b} [GeV]', 75, 0, 1500, 75, 0, 1500 )
self.h_dEtaVsPTStop = ROOT.TH2F('dEtaVsPTStop', ';p_{T,#tilde{t}} [GeV];|#Delta#eta_{b,#tilde{#chi}^{#pm}}|', 75, 0, 1500, 80, 0, 8 )
self.h_dEtaVsPTStopRatio = ROOT.TH2F('dEtaVsPTStopRatio',';p_{T,#tilde{t}} / #Delta m_{#tilde{t},#tilde{#chi}^{#pm}};|#Delta#eta_{b,#tilde{#chi}^{#pm}}|',40,0,2,80,0,8)
# Trigger
self.h_L1_HTT450er = ROOT.TH1D('L1_HTT450er', ';L1_HTT450er', 2, 0, 2 )
#-----------------------------------------------------------------------
# RECO
#-----------------------------------------------------------------------
self.h_HT = ROOT.TH1F('HT', ';H_{T} [GeV]', 60, 0, 3000 )
self.h_MET = ROOT.TH1F('MET', ';p^{miss}_{T} [GeV]', 50, 0, 1000 )
self.h_nJets = ROOT.TH1D('nJets', ';N_{j}', 20, 0, 20 )
self.h_nbLoose = ROOT.TH1D('nbLoose', ';n_{b} (loose)', 7, 0, 7 )
self.h_nbMedium = ROOT.TH1D('nbMedium', ';n_{b} (medium)', 7, 0, 7 )
self.h_nbTight = ROOT.TH1D('nbTight', ';n_{b} (tight)', 7, 0, 7 )
self.h_ntLoose = ROOT.TH1D('ntLoose', ';n_{t} (loose)', 7, 0, 7 )
self.h_ntMedium = ROOT.TH1D('ntMedium', ';n_{t} (medium)', 7, 0, 7 )
self.h_ntTight = ROOT.TH1D('ntTight', ';n_{t} (tight)', 7, 0, 7 )
self.h_nWLoose = ROOT.TH1D('nWLoose', ';n_{W} (loose)', 7, 0, 7 )
self.h_nWMedium = ROOT.TH1D('nWMedium', ';n_{W} (medium)', 7, 0, 7 )
self.h_nWTight = ROOT.TH1D('nWTight', ';n_{W} (tight)', 7, 0, 7 )
self.h_ntDeepWP1 = ROOT.TH1D('ntDeepWP1', ';n_{t} (DeepJet WP 1)', 7, 0, 7 )
self.h_ntDeepWP2 = ROOT.TH1D('ntDeepWP2', ';n_{t} (DeepJet WP 2)', 7, 0, 7 )
self.h_ntDeepWP3 = ROOT.TH1D('ntDeepWP3', ';n_{t} (DeepJet WP 3)', 7, 0, 7 )
self.h_ntDeepWP4 = ROOT.TH1D('ntDeepWP4', ';n_{t} (DeepJet WP 4)', 7, 0, 7 )
self.h_nWDeepWP1 = ROOT.TH1D('nWDeepWP1', ';n_{W} (DeepJet WP 1)', 7, 0, 7 )
self.h_nWDeepWP2 = ROOT.TH1D('nWDeepWP2', ';n_{W} (DeepJet WP 2)', 7, 0, 7 )
self.h_nWDeepWP3 = ROOT.TH1D('nWDeepWP3', ';n_{W} (DeepJet WP 3)', 7, 0, 7 )
self.h_nWDeepWP4 = ROOT.TH1D('nWDeepWP4', ';n_{W} (DeepJet WP 4)', 7, 0, 7 )
self.h_mAll = ROOT.TH1F('mAll', ';m_{#sum j} [GeV]', 60, 0, 3000 )
self.h_m4 = ROOT.TH1F('m4', ';m_{4j} [GeV]', 60, 0, 3000 )
self.h_m3 = ROOT.TH1F('m3', ';m_{3j} [GeV]', 60, 0, 3000 )
self.h_m3NoLead = ROOT.TH1F('m3NoLead', ';m_{3j} (excl. leading) [GeV]', 60, 0, 3000 )
self.h_m3NoLeadOrSub = ROOT.TH1F('m3NoLeadOrSub', ';m_{3j} (excl. lead and sub) [GeV]', 60, 0, 3000 )
self.h_pT1 = ROOT.TH1F('pT1', ';p_{T,1} [GeV]', 75, 0, 1500 )
self.h_pT2 = ROOT.TH1F('pT2', ';p_{T,2} [GeV]', 75, 0, 1500 )
self.h_pT3 = ROOT.TH1F('pT3', ';p_{T,3} [GeV]', 75, 0, 1500 )
self.h_pT4 = ROOT.TH1F('pT4', ';p_{T,4} [GeV]', 75, 0, 1500 )
self.h_pTb1 = ROOT.TH1F('pTb1', ';p_{T,b_{1}} (loose) [GeV]', 75, 0, 1500 )
self.h_pTb2 = ROOT.TH1F('pTb2', ';p_{T,b_{2}} (loose) [GeV]', 75, 0, 1500 )
self.h_pTb3 = ROOT.TH1F('pTb3', ';p_{T,b_{3}} (loose) [GeV]', 75, 0, 1500 )
self.h_pTb4 = ROOT.TH1F('pTb4', ';p_{T,b_{4}} (loose) [GeV]', 75, 0, 1500 )
self.h_eta1 = ROOT.TH1F('eta1', ';#eta_{1}', 80, -8, 8 )
self.h_eta2 = ROOT.TH1F('eta2', ';#eta_{2}', 80, -8, 8 )
self.h_eta3 = ROOT.TH1F('eta3', ';#eta_{3}', 80, -8, 8 )
self.h_eta4 = ROOT.TH1F('eta4', ';#eta_{4}', 80, -8, 8 )
self.h_pT1Frac = ROOT.TH1F('pT1Frac', ';p_{T,1} / H_{T}', 20, 0, 1 )
self.h_pT2Frac = ROOT.TH1F('pT2Frac', ';p_{T,2} / H_{T}', 20, 0, 1 )
self.h_pT3Frac = ROOT.TH1F('pT3Frac', ';p_{T,3} / H_{T}', 20, 0, 1 )
self.h_pT4Frac = ROOT.TH1F('pT4Frac', ';p_{T,4} / H_{T}', 20, 0, 1 )
self.h_pT5Frac = ROOT.TH1F('pT5Frac', ';p_{T,5} / H_{T}', 20, 0, 1 )
self.h_pT1ETFracComp = ROOT.TH1F('pT1ETFracComp', ';p_{T,1} / E_{T,#tilde{#chi}^{#pm}} (compressed)', 60, 0, 3 )
self.h_pT2ETFracComp = ROOT.TH1F('pT2ETFracComp', ';p_{T,2} / E_{T,#tilde{#chi}^{#pm}} (compressed)', 60, 0, 3 )
self.h_pT3ETFracComp = ROOT.TH1F('pT3ETFracComp', ';p_{T,3} / E_{T,#tilde{#chi}^{#pm}} (compressed)', 60, 0, 3 )
self.h_pT4ETFracComp = ROOT.TH1F('pT4ETFracComp', ';p_{T,4} / E_{T,#tilde{#chi}^{#pm}} (compressed)', 60, 0, 3 )
self.h_pT5ETFracComp = ROOT.TH1F('pT5ETFracComp', ';p_{T,5} / E_{T,#tilde{#chi}^{#pm}} (compressed)', 60, 0, 3 )
self.h_pT1ETFracUncomp = ROOT.TH1F('pT1ETFracUncomp', ';p_{T,1} / E_{T,#tilde{#chi}^{#pm}} (uncompressed)', 60, 0, 3 )
self.h_pT2ETFracUncomp = ROOT.TH1F('pT2ETFracUncomp', ';p_{T,2} / E_{T,#tilde{#chi}^{#pm}} (uncompressed)', 60, 0, 3 )
self.h_pT3ETFracUncomp = ROOT.TH1F('pT3ETFracUncomp', ';p_{T,3} / E_{T,#tilde{#chi}^{#pm}} (uncompressed)', 60, 0, 3 )
self.h_pT4ETFracUncomp = ROOT.TH1F('pT4ETFracUncomp', ';p_{T,4} / E_{T,#tilde{#chi}^{#pm}} (uncompressed)', 60, 0, 3 )
self.h_pT5ETFracUncomp = ROOT.TH1F('pT5ETFracUncomp', ';p_{T,5} / E_{T,#tilde{#chi}^{#pm}} (uncompressed)', 60, 0, 3 )
self.h_pT1FracChiComp = ROOT.TH1F('pT1FracChiComp', ';p_{T,1} / H_{T,#tilde{#chi}^{#pm}} (compressed)', 40, 0, 2 )
self.h_pT2FracChiComp = ROOT.TH1F('pT2FracChiComp', ';p_{T,2} / H_{T,#tilde{#chi}^{#pm}} (compressed)', 40, 0, 2 )
self.h_pT3FracChiComp = ROOT.TH1F('pT3FracChiComp', ';p_{T,3} / H_{T,#tilde{#chi}^{#pm}} (compressed)', 40, 0, 2 )
self.h_pT4FracChiComp = ROOT.TH1F('pT4FracChiComp', ';p_{T,4} / H_{T,#tilde{#chi}^{#pm}} (compressed)', 40, 0, 2 )
self.h_pT5FracChiComp = ROOT.TH1F('pT5FracChiComp', ';p_{T,5} / H_{T,#tilde{#chi}^{#pm}} (compressed)', 40, 0, 2 )
self.h_pT1FracChiUncomp = ROOT.TH1F('pT1FracChiUncomp', ';p_{T,1} / H_{T,#tilde{#chi}^{#pm}} (uncompressed)',40, 0, 2 )
self.h_pT2FracChiUncomp = ROOT.TH1F('pT2FracChiUncomp', ';p_{T,2} / H_{T,#tilde{#chi}^{#pm}} (uncompressed)',40, 0, 2 )
self.h_pT3FracChiUncomp = ROOT.TH1F('pT3FracChiUncomp', ';p_{T,3} / H_{T,#tilde{#chi}^{#pm}} (uncompressed)',40, 0, 2 )
self.h_pT4FracChiUncomp = ROOT.TH1F('pT4FracChiUncomp', ';p_{T,4} / H_{T,#tilde{#chi}^{#pm}} (uncompressed)',40, 0, 2 )
self.h_pT5FracChiUncomp = ROOT.TH1F('pT5FracChiUncomp', ';p_{T,5} / H_{T,#tilde{#chi}^{#pm}} (uncompressed)',40, 0, 2 )
self.h_pTMeanComp = ROOT.TH1F('pTMeanComp', ';#mu(p_{T,1},p_{T,2},p_{T,3}) [GeV]', 50, 0, 1000 )
self.h_pTSDComp = ROOT.TH1F('pTSDComp', ';#sigma(p_{T,1},p_{T,2},p_{T,3}) [GeV]', 50, 0, 1000 )
self.h_pTSDMeanFracComp = ROOT.TH1F('pTSDMeanFracComp', ';#frac{#sigma}{#mu}(p_{T,1},p_{T,2},p_{T,3})', 30, 0, 1.5 )
self.h_pTMeanUncomp = ROOT.TH1F('pTMeanUncomp', ';#mu(p_{T,2},p_{T,3},p_{T,4}) [GeV]', 50, 0, 1000 )
self.h_pTSDUncomp = ROOT.TH1F('pTSDUncomp', ';#sigma(p_{T,2},p_{T,3},p_{T,4}) [GeV]', 50, 0, 1000 )
self.h_pTSDMeanFracUncomp = ROOT.TH1F('pTSDMeanFracUncomp', ';#frac{#sigma}{#mu}(p_{T,2},p_{T,3},p_{T,4})', 30, 0, 1.5 )
self.h_dEta12 = ROOT.TH1F('dEta12', ';|#Delta#eta_{1,2}|', 50, 0, 5 )
self.h_dEta13 = ROOT.TH1F('dEta13', ';|#Delta#eta_{1,3}|', 50, 0, 5 )
self.h_dEta14 = ROOT.TH1F('dEta14', ';|#Delta#eta_{1,4}|', 50, 0, 5 )
self.h_dEta15 = ROOT.TH1F('dEta15', ';|#Delta#eta_{1,5}|', 50, 0, 5 )
self.h_dEta23 = ROOT.TH1F('dEta23', ';|#Delta#eta_{2,3}|', 50, 0, 5 )
self.h_dEta24 = ROOT.TH1F('dEta24', ';|#Delta#eta_{2,4}|', 50, 0, 5 )
self.h_dEta25 = ROOT.TH1F('dEta25', ';|#Delta#eta_{2,5}|', 50, 0, 5 )
self.h_dEta34 = ROOT.TH1F('dEta34', ';|#Delta#eta_{3,4}|', 50, 0, 5 )
self.h_dEta35 = ROOT.TH1F('dEta35', ';|#Delta#eta_{3,5}|', 50, 0, 5 )
self.h_dEta45 = ROOT.TH1F('dEta45', ';|#Delta#eta_{4,5}|', 50, 0, 5 )
self.h_dPhi12 = ROOT.TH1F('dPhi12', ';|#Delta#phi_{1,2}|', 50, 0, 5 )
self.h_dPhi13 = ROOT.TH1F('dPhi13', ';|#Delta#phi_{1,3}|', 50, 0, 5 )
self.h_dPhi14 = ROOT.TH1F('dPhi14', ';|#Delta#phi_{1,4}|', 50, 0, 5 )
self.h_dPhi15 = ROOT.TH1F('dPhi15', ';|#Delta#phi_{1,5}|', 50, 0, 5 )
self.h_dPhi23 = ROOT.TH1F('dPhi23', ';|#Delta#phi_{2,3}|', 50, 0, 5 )
self.h_dPhi24 = ROOT.TH1F('dPhi24', ';|#Delta#phi_{2,4}|', 50, 0, 5 )
self.h_dPhi25 = ROOT.TH1F('dPhi25', ';|#Delta#phi_{2,5}|', 50, 0, 5 )
self.h_dPhi34 = ROOT.TH1F('dPhi34', ';|#Delta#phi_{3,4}|', 50, 0, 5 )
self.h_dPhi35 = ROOT.TH1F('dPhi35', ';|#Delta#phi_{3,5}|', 50, 0, 5 )
self.h_dPhi45 = ROOT.TH1F('dPhi45', ';|#Delta#phi_{4,5}|', 50, 0, 5 )
jetCombos2D = [[''.join(map(str,i)),''.join(map(str,j))] for i,j in combinations(combinations([1,2,3,4],2),2)]
self.create2DHists(['dPhi{}Vs{}'.format(i,j) for [i,j] in jetCombos2D],
[';|#Delta#phi_{{{}}}|;|#Delta#phi_{{{}}}|'.format(j,i) for [i,j] in jetCombos2D],
16,0,3.2,16,0,3.2)
self.h_dR12 = ROOT.TH1F('dR12', ';#Delta R_{1,2}', 35, 0, 7 )
self.h_dR13 = ROOT.TH1F('dR13', ';#Delta R_{1,3}', 35, 0, 7 )
self.h_dR14 = ROOT.TH1F('dR14', ';#Delta R_{1,4}', 35, 0, 7 )
self.h_dR15 = ROOT.TH1F('dR15', ';#Delta R_{1,5}', 35, 0, 7 )
self.h_dR23 = ROOT.TH1F('dR23', ';#Delta R_{2,3}', 35, 0, 7 )
self.h_dR24 = ROOT.TH1F('dR24', ';#Delta R_{2,4}', 35, 0, 7 )
self.h_dR25 = ROOT.TH1F('dR25', ';#Delta R_{2,5}', 35, 0, 7 )
self.h_dR34 = ROOT.TH1F('dR34', ';#Delta R_{3,4}', 35, 0, 7 )
self.h_dR35 = ROOT.TH1F('dR35', ';#Delta R_{3,5}', 35, 0, 7 )
self.h_dR45 = ROOT.TH1F('dR45', ';#Delta R_{4,5}', 35, 0, 7 )
self.h_dEtabb = ROOT.TH1F('dEtabb', ';|#Delta#eta_{b_{1},b_{2}}| (loose)', 50, 0, 5 )
self.h_dPhibb = ROOT.TH1F('dPhibb', ';|#Delta#phi_{b_{1},b_{2}}| (loose)', 50, 0, 5 )
self.h_dRbb = ROOT.TH1F('dRbb', ';#Delta R_{b_{1},b_{2}} (loose)', 35, 0, 7 )
self.h_dEtaRecoComp = ROOT.TH1F('dEtaRecoComp', ';|#Delta#eta_{#tilde{t},#tilde{#chi}^{#pm}}| (compressed)', 50, 0, 5 )
self.h_dPhiRecoComp = ROOT.TH1F('dPhiRecoComp', ';|#Delta#phi_{#tilde{t},#tilde{#chi}^{#pm}}| (compressed)', 50, 0, 5 )
self.h_dRRecoComp = ROOT.TH1F('dRRecoComp', ';#Delta R_{#tilde{t},#tilde{#chi}^{#pm}} (compressed)', 35, 0, 7 )
self.h_dEtaRecoUncomp = ROOT.TH1F('dEtaRecoUncomp', ';|#Delta#eta_{#tilde{t},#tilde{#chi}^{#pm}}| (uncompressed)',50, 0, 5 )
self.h_dPhiRecoUncomp = ROOT.TH1F('dPhiRecoUncomp', ';|#Delta#phi_{#tilde{t},#tilde{#chi}^{#pm}}| (uncompressed)',50, 0, 5 )
self.h_dRRecoUncomp = ROOT.TH1F('dRRecoUncomp', ';#Delta R_{#tilde{t},#tilde{#chi}^{#pm}} (uncompressed)', 35, 0, 7 )
# Fat jets (AK8)
self.h_pTFat1 = ROOT.TH1F('pTFat1', ';p_{T,FatJet 1} [GeV]', 100, 0, 2000 )
self.h_mSoftFat1 = ROOT.TH1F('mSoftFat1', ';m_{soft,FatJet 1} [GeV]', 100, 0, 2000 )
# 2D plots
self.h_m3Vsm4 = ROOT.TH2F('m3Vsm4', ';m_{4j} [GeV];m_{3j} [GeV]',150,0,3000,150,0,3000)
self.h_m3NoLeadVsm4 = ROOT.TH2F('m3NoLeadVsm4', ';m_{4j} [GeV];m_{3j} (excl. leading) [GeV]',150,0,3000,150,0,3000)
self.h_m3Fracm4Vsm4 = ROOT.TH2F('m3Fracm4Vsm4', ';m_{4j} [GeV];m_{3j} / m_{4j} [GeV]',150,0,3000,50,0,1)
self.h_m3NoLeadFracm4Vsm4 = ROOT.TH2F('m3NoLeadFracm4Vsm4',';m_{4j} [GeV];m_{3j} (excl. leading) / m_{4j} [GeV]',150,0,3000,50,0,1)
self.h_m3VsPTOther = ROOT.TH2F('m3VsPTOther', ';p_{T,j} (excluded jet) [GeV]; m_{3j} [GeV]',75,0,1500,150,0,3000)
self.h_m3VsDEtaOther = ROOT.TH2F('m3VsDEtaOther', ';#Delta#eta_{3j,other j}; m_{3j} [GeV]',50,0,5,150,0,3000)
self.h_m3VsDPhiOther = ROOT.TH2F('m3VsDPhiOther', ';#Delta#phi_{3j,other j}; m_{3j} [GeV]',50,0,5,150,0,3000)
self.h_m3VsDROther = ROOT.TH2F('m3VsDROther', ';#Delta R_{3j,other j}; m_{3j} [GeV]',35,0,7,150,0,3000)
self.h_m3NoLeadVsPTOther = ROOT.TH2F('m3NoLeadVsPTOther', ';p_{T,j} (excluded jet) [GeV]; m_{3j} (excl. leading) [GeV]',75,0,1500,150,0,3000)
self.h_m3NoLeadVsDEtaOther = ROOT.TH2F('m3NoLeadVsDEtaOther', ';#Delta#eta_{3j,other j}; m_{3j} (excl. leading) [GeV]',50,0,5,150,0,3000)
self.h_m3NoLeadVsDPhiOther = ROOT.TH2F('m3NoLeadVsDPhiOther', ';#Delta#phi_{3j,other j}; m_{3j} (excl. leading) [GeV]',50,0,5,150,0,3000)
self.h_m3NoLeadVsDROther = ROOT.TH2F('m3NoLeadVsDROther', ';#Delta R_{3j,other j}; m_{3j} (excl. leading) [GeV]',35,0,7,150,0,3000)
# Add histograms to analysis object
for h in list(vars(self)):
if h[0:2] == 'h_': self.addObject(getattr(self,h))
def analyze(self, event):
dRMatch = 0.1
# Get MC weight
if not self.isData: genWeight = 1 if event.genWeight > 0 else -1
else: genWeight = 1
# Fill histograms before selections (but after any pre-selections)
self.h_nEventsPostPre.Fill(0,genWeight)
try: self.h_HTLHE.Fill(event.LHE_HT,genWeight)
except RuntimeError: pass
# Set b tagging WPs
if self.MCCampaign == 'UL2016preVFP': bTagWPs = [0.0508,0.2598,0.6502]
elif self.MCCampaign == 'UL2016postVFP': bTagWPs = [0.0480,0.2489,0.6377]
elif self.MCCampaign == 'UL2017': bTagWPs = [0.0532,0.3040,0.7476]
elif self.MCCampaign == 'UL2018': bTagWPs = [0.0490,0.2783,0.7100]
# Get event collections
jets = filter(lambda x: x.pt > 30 and abs(x.eta) < 2.4,list(Collection(event,"Jet")))
fatJets = list(Collection(event,"FatJet"))
looseTs = filter(lambda x: x.particleNet_TvsQCD > 0.58,fatJets)
mediumTs = filter(lambda x: x.particleNet_TvsQCD > 0.80,fatJets)
tightTs = filter(lambda x: x.particleNet_TvsQCD > 0.97,fatJets)
looseWs = filter(lambda x: x.particleNet_WvsQCD > 0.70,fatJets)
mediumWs = filter(lambda x: x.particleNet_WvsQCD > 0.94,fatJets)
tightWs = filter(lambda x: x.particleNet_WvsQCD > 0.98,fatJets)
deepWP1Ts = filter(lambda x: x.deepTag_TvsQCD > 0.436,fatJets)
deepWP2Ts = filter(lambda x: x.deepTag_TvsQCD > 0.802,fatJets)
deepWP3Ts = filter(lambda x: x.deepTag_TvsQCD > 0.922,fatJets)
deepWP4Ts = filter(lambda x: x.deepTag_TvsQCD > 0.989,fatJets)
deepWP1Ws = filter(lambda x: x.deepTag_WvsQCD > 0.458,fatJets)
deepWP2Ws = filter(lambda x: x.deepTag_WvsQCD > 0.762,fatJets)
deepWP3Ws = filter(lambda x: x.deepTag_WvsQCD > 0.918,fatJets)
deepWP4Ws = filter(lambda x: x.deepTag_WvsQCD > 0.961,fatJets)
looseBs = filter(lambda x: x.btagDeepFlavB > bTagWPs[0],jets)
mediumBs = filter(lambda x: x.btagDeepFlavB > bTagWPs[1],jets)
tightBs = filter(lambda x: x.btagDeepFlavB > bTagWPs[2],jets)
MET = ROOT.TVector2()
MET.SetMagPhi(event.MET_pt,event.MET_phi)
if self.isSignal:
genParts = list(Collection(event,"GenPart"))
genAK4Jets = list(Collection(event,"GenJet"))
# Get only outgoing particles of the hardest subprocess
gens = filter(lambda x: (((x.statusFlags >> 13) & 1) and ((x.statusFlags >> 8) & 1)) and not (((abs(x.pdgId) == 1) or (abs(x.pdgId) == 3)) and ((x.statusFlags >> 11) & 1)), genParts)
if not self.isSkimmed:
goodElectrons = filter(lambda x: x.cutBased == 4 and x.miniPFRelIso_all < 0.1 and x.pt > 30 and abs(x.eta) < 2.4,list(Collection(event,"Electron")))
goodMuons = filter(lambda x: x.mediumId and x.miniPFRelIso_all < 0.2 and x.pt > 30 and abs(x.eta) < 2.4,list(Collection(event,"Muon")))
# Cuts
if not self.isSkimmed:
self.h_cutflow.Fill(0,genWeight)
if not (event.HLT_PFHT1050 or event.HLT_AK8PFJet400_TrimMass30): return False
self.h_cutflow.Fill(1,genWeight)
if len(jets) > 0 and not jets[0].pt > 300: return False
self.h_cutflow.Fill(2,genWeight)
if len(jets) < 4 or len(jets) > 6: return False
self.h_cutflow.Fill(3,genWeight)
if len(goodElectrons) != 0 or len(goodMuons) != 0: return False
self.h_cutflow.Fill(4,genWeight)
if not 2 < abs(jets[0].p4().DeltaR(jets[1].p4())) < 4: return False
self.h_cutflow.Fill(5,genWeight)
if not self.isCR0b:
if not self.isData and len(looseBs) < 2: return False
elif self.isData and len(looseBs) != 0: return False
self.h_cutflow.Fill(6,genWeight)
if not self.isData and abs(looseBs[0].p4().DeltaR(looseBs[1].p4())) < 1: return False
self.h_cutflow.Fill(7,genWeight)
elif len(looseBs) != 0: return False
self.h_cutflow.Fill(6,genWeight)
try:
self.h_nQLHE.Fill(event.LHE_Nuds + event.LHE_Nc + event.LHE_Nb,genWeight)
self.h_nGLHE.Fill(event.LHE_Nglu,genWeight)
self.h_nJLHE.Fill(event.LHE_Njets,genWeight)
except RuntimeError: pass
if self.isSignal:
# Triggers
self.h_L1_HTT450er.Fill(event.L1_HTT450er,genWeight)
# Match gens to particle
stopPlus = True
if True in (g.pdgId == 1000006 for g in gens):
for g in gens:
if g.pdgId == 1000006: genStop = g
elif g.pdgId == 1000024: genChi = g
elif g.pdgId == 5: genBStop = g
elif g.pdgId == -5: genBChi = g
elif g.pdgId == -1: genD = g
elif g.pdgId == -3: genS = g
else: print('WARNING: Unexpected particle with pdgId {}'.format(g.pdgId))
genStopPlus = genStop
genBStopPlus = genBStop
genChiPlus = genChi
genBChiPlus = genBChi
elif True in (g.pdgId == -1000006 for g in gens):
stopPlus = False
for g in gens:
if g.pdgId == -1000006: genStop = g
elif g.pdgId == -1000024: genChi = g
elif g.pdgId == -5: genBStop = g
elif g.pdgId == 5: genBChi = g
elif g.pdgId == 1: genD = g
elif g.pdgId == 3: genS = g
else: print('WARNING: Unexpected particle with pdgId {}'.format(g.pdgId))
genStopMinus = genStop
genBStopMinus = genBStop
genChiMinus = genChi
genBChiMinus = genBChi
genQuarks = [genBStop,genBChi,genD,genS]
else: print('WARNING: No stop found in event')
#-----------------------------------------------------------------------
# GEN
#-----------------------------------------------------------------------
# Gen kinematics
self.h_pTStop.Fill(genStop.pt,genWeight)
self.h_pTChi.Fill(genChi.pt,genWeight)
self.h_pTBStop.Fill(genBStop.pt,genWeight)
self.h_pTBChi.Fill(genBChi.pt,genWeight)
if stopPlus:
self.h_pTBStopPlus.Fill(genBStopPlus.pt,genWeight)
self.h_etaBStopPlus.Fill(genBStopPlus.eta,genWeight)
self.h_pTBChiPlus.Fill(genBChiPlus.pt,genWeight)
self.h_etaBChiPlus.Fill(genBChiPlus.eta,genWeight)
self.h_pTStopPlus.Fill(genStopPlus.pt,genWeight)
self.h_etaStopPlus.Fill(genStopPlus.eta,genWeight)
self.h_pTChiPlus.Fill(genChiPlus.pt,genWeight)
self.h_etaChiPlus.Fill(genChiPlus.eta,genWeight)
else:
self.h_pTBStopMinus.Fill(genBStopMinus.pt,genWeight)
self.h_etaBStopMinus.Fill(genBStopMinus.eta,genWeight)
self.h_pTBChiMinus.Fill(genBChiMinus.pt,genWeight)
self.h_etaBChiMinus.Fill(genBChiMinus.eta,genWeight)
self.h_pTStopMinus.Fill(genStopMinus.pt,genWeight)
self.h_etaStopMinus.Fill(genStopMinus.eta,genWeight)
self.h_pTChiMinus.Fill(genChiMinus.pt,genWeight)
self.h_etaChiMinus.Fill(genChiMinus.eta,genWeight)
dEtaBChi = abs(genBStop.eta - genChi.eta)
self.h_dEtaBChi.Fill(dEtaBChi,genWeight)
self.h_dPhiBChi.Fill(abs(genBStop.p4().DeltaPhi(genChi.p4())),genWeight)
self.h_dRBChi.Fill(abs(genBStop.p4().DeltaR(genChi.p4())),genWeight)
dRChiMax = max(genBChi.p4().DeltaR(genD.p4()),
genBChi.p4().DeltaR(genS.p4()),
genD.p4().DeltaR(genS.p4()))
self.h_dRChiMax.Fill(dRChiMax,genWeight)
self.h_dRBB.Fill(genBChi.p4().DeltaR(genBStop.p4()),genWeight)
self.h_dEtaBB.Fill(abs(genBChi.eta - genBStop.eta),genWeight)
self.h_dPhiBB.Fill(abs(genBChi.p4().DeltaPhi(genBStop.p4())),genWeight)
self.h_pTBVsChi.Fill(genChi.pt,genBStop.pt,genWeight)
self.h_dEtaVsPTStop.Fill(genChi.pt,abs(genChi.eta - genBStop.eta),genWeight)
self.h_dEtaVsPTStopRatio.Fill(genChi.pt / (genStop.p4().M() - genChi.p4().M()),abs(genChi.eta - genBStop.eta),genWeight)
self.h_passDijet.Fill(1 if (dRChiMax < 1.1 and dEtaBChi < 1.1) else 0,genWeight)
#pT and eta of the gen AK4 jets
for i,j in enumerate(genAK4Jets):
if i == 0:
self.h_pT1Gen.Fill(j.pt,genWeight)
self.h_eta1Gen.Fill(j.eta,genWeight)
if i == 1:
self.h_pT2Gen.Fill(j.pt,genWeight)
self.h_eta2Gen.Fill(j.eta,genWeight)
if i == 2:
self.h_pT3Gen.Fill(j.pt,genWeight)
self.h_eta3Gen.Fill(j.eta,genWeight)
if i == 3:
self.h_pT4Gen.Fill(j.pt,genWeight)
self.h_eta4Gen.Fill(j.eta,genWeight)
# Wide jets
if len(genAK4Jets) >= 2:
genJ1 = genAK4Jets[0].p4()
genJ2 = genAK4Jets[1].p4()
genWJ1 = genJ1
genWJ2 = genJ2
#passDijet = 1
for j in genAK4Jets[2:]:
j = j.p4()
dR1 = j.DeltaR(genJ1)
dR2 = j.DeltaR(genJ2)
if dR1 < 1.1 and dR1 < dR2: genWJ1 += j
elif dR2 < 1.1 and dR2 < dR1: genWJ2 += j
self.h_mWJs.Fill((genWJ1 + genWJ2).M(),genWeight)
dEtaWJ = abs(genWJ1.Eta() - genWJ2.Eta())
self.h_dEtaWJs.Fill(dEtaWJ,genWeight)
#-----------------------------------------------------------------------
# RECO
#-----------------------------------------------------------------------
sumJet = ROOT.TLorentzVector()
sumJet4 = ROOT.TLorentzVector()
sumJet3 = ROOT.TLorentzVector()
sumJet3NoLead = ROOT.TLorentzVector()
sumJet3NoLeadOrSub = ROOT.TLorentzVector()
# n jets
self.h_nJets.Fill(len(jets),genWeight)
self.h_ntLoose.Fill(len(looseTs),genWeight)
self.h_ntMedium.Fill(len(mediumTs),genWeight)
self.h_ntTight.Fill(len(tightTs),genWeight)
self.h_nWLoose.Fill(len(looseWs),genWeight)
self.h_nWMedium.Fill(len(mediumWs),genWeight)
self.h_nWTight.Fill(len(tightWs),genWeight)
self.h_nbLoose.Fill(len(looseBs),genWeight)
self.h_nbMedium.Fill(len(mediumBs),genWeight)
self.h_nbTight.Fill(len(tightBs),genWeight)
self.h_ntDeepWP1.Fill(len(deepWP1Ts),genWeight)
self.h_ntDeepWP2.Fill(len(deepWP2Ts),genWeight)
self.h_ntDeepWP3.Fill(len(deepWP3Ts),genWeight)
self.h_ntDeepWP4.Fill(len(deepWP4Ts),genWeight)
self.h_nWDeepWP1.Fill(len(deepWP1Ws),genWeight)
self.h_nWDeepWP2.Fill(len(deepWP2Ws),genWeight)
self.h_nWDeepWP3.Fill(len(deepWP3Ws),genWeight)
self.h_nWDeepWP4.Fill(len(deepWP4Ws),genWeight)
# Event characteristics
self.h_MET.Fill(MET.Mod(),genWeight)
# Loop over jets
HT = 0; HT3 = 0; HT3NoLead = 0; nbLoose = 0; nbMedium = 0; nbTight=0
for i,j in enumerate(jets):
sumJet += j.p4()
HT += j.pt
if i < 4:
sumJet4 += j.p4()
if i < 3:
sumJet3 += j.p4()
HT3 += j.pt
if i > 0 and i < 4:
sumJet3NoLead += j.p4()
HT3NoLead += j.pt
if i > 1 and i < 5: sumJet3NoLeadOrSub += j.p4()
if i == 0:
self.h_pT1.Fill(j.pt,genWeight)
self.h_eta1.Fill(j.eta,genWeight)
if i == 1:
self.h_pT2.Fill(j.pt,genWeight)
self.h_eta2.Fill(j.eta,genWeight)
if i == 2:
self.h_pT3.Fill(j.pt,genWeight)
self.h_eta3.Fill(j.eta,genWeight)
if i == 3:
self.h_pT4.Fill(j.pt,genWeight)
self.h_eta4.Fill(j.eta,genWeight)
if len(jets) >= 5:
self.h_m3NoLeadOrSub.Fill(sumJet3NoLeadOrSub.M(),genWeight)
self.h_dEta15.Fill(abs(jets[0].eta - jets[4].eta),genWeight)
self.h_dPhi15.Fill(abs(jets[0].p4().DeltaPhi(jets[4].p4())),genWeight)
self.h_dR15.Fill(abs(jets[0].p4().DeltaR(jets[4].p4())),genWeight)
self.h_dEta25.Fill(abs(jets[1].eta - jets[4].eta),genWeight)
self.h_dPhi25.Fill(abs(jets[1].p4().DeltaPhi(jets[4].p4())),genWeight)
self.h_dR25.Fill(abs(jets[1].p4().DeltaR(jets[4].p4())),genWeight)
self.h_dEta35.Fill(abs(jets[2].eta - jets[4].eta),genWeight)
self.h_dPhi35.Fill(abs(jets[2].p4().DeltaPhi(jets[4].p4())),genWeight)
self.h_dR35.Fill(abs(jets[2].p4().DeltaR(jets[4].p4())),genWeight)
self.h_dEta45.Fill(abs(jets[3].eta - jets[4].eta),genWeight)
self.h_dPhi45.Fill(abs(jets[3].p4().DeltaPhi(jets[4].p4())),genWeight)
self.h_dR45.Fill(abs(jets[3].p4().DeltaR(jets[4].p4())),genWeight)
self.h_pT5Frac.Fill(jets[4].pt / HT,genWeight)
self.h_pT5ETFracComp.Fill(jets[4].pt / sumJet3.Et(),genWeight)
self.h_pT5ETFracUncomp.Fill(jets[4].pt / sumJet3NoLead.Et(),genWeight)
self.h_pT5FracChiComp.Fill(jets[4].pt / HT3,genWeight)
self.h_pT5FracChiUncomp.Fill(jets[4].pt / HT3NoLead,genWeight)
if len(jets) >= 4:
self.h_m4.Fill(sumJet4.M(),genWeight)
self.h_m3NoLead.Fill(sumJet3NoLead.M(),genWeight)
self.h_m3Vsm4.Fill(sumJet4.M(),sumJet3.M(),genWeight)
self.h_m3NoLeadVsm4.Fill(sumJet4.M(),sumJet3NoLead.M(),genWeight)
self.h_m3Fracm4Vsm4.Fill(sumJet4.M(),sumJet3.M() / sumJet4.M(),genWeight)
self.h_m3NoLeadFracm4Vsm4.Fill(sumJet4.M(),sumJet3NoLead.M() / sumJet4.M(),genWeight)
self.h_m3VsPTOther.Fill(jets[3].pt,sumJet3.M(),genWeight)
self.h_m3VsDEtaOther.Fill(abs(jets[3].eta - sumJet3.Eta()),sumJet3.M(),genWeight)
self.h_m3VsDPhiOther.Fill(abs(jets[3].p4().DeltaPhi(sumJet3)),sumJet3.M(),genWeight)
self.h_m3VsDROther.Fill(abs(jets[3].p4().DeltaR(sumJet3)),sumJet3.M(),genWeight)
self.h_m3NoLeadVsPTOther.Fill(jets[0].pt,sumJet3NoLead.M(),genWeight)
self.h_m3NoLeadVsDEtaOther.Fill(abs(jets[0].eta - sumJet3NoLead.Eta()),sumJet3NoLead.M(),genWeight)
self.h_m3NoLeadVsDPhiOther.Fill(abs(jets[0].p4().DeltaPhi(sumJet3NoLead)),sumJet3NoLead.M(),genWeight)
self.h_m3NoLeadVsDROther.Fill(abs(jets[0].p4().DeltaR(sumJet3NoLead)),sumJet3NoLead.M(),genWeight)
self.h_dEta14.Fill(abs(jets[0].eta - jets[3].eta),genWeight)
self.h_dPhi14.Fill(abs(jets[0].p4().DeltaPhi(jets[3].p4())),genWeight)
self.h_dR14.Fill(abs(jets[0].p4().DeltaR(jets[3].p4())),genWeight)
self.h_dEta24.Fill(abs(jets[1].eta - jets[3].eta),genWeight)
self.h_dPhi24.Fill(abs(jets[1].p4().DeltaPhi(jets[3].p4())),genWeight)
self.h_dR24.Fill(abs(jets[1].p4().DeltaR(jets[3].p4())),genWeight)
self.h_dEta34.Fill(abs(jets[2].eta - jets[3].eta),genWeight)
self.h_dPhi34.Fill(abs(jets[2].p4().DeltaPhi(jets[3].p4())),genWeight)
self.h_dR34.Fill(abs(jets[2].p4().DeltaR(jets[3].p4())),genWeight)
self.h_pT4Frac.Fill(jets[3].pt / HT,genWeight)
self.h_pT4ETFracComp.Fill(jets[3].pt / sumJet3.Et(),genWeight)
self.h_pT4ETFracUncomp.Fill(jets[3].pt / sumJet3NoLead.Et(),genWeight)
self.h_pT4FracChiComp.Fill(jets[3].pt / HT3,genWeight)
self.h_pT4FracChiUncomp.Fill(jets[3].pt / HT3NoLead,genWeight)
pTMeanComp = mean([jets[0].pt,jets[1].pt,jets[2].pt])
pTSDComp = std([jets[0].pt,jets[1].pt,jets[2].pt])
pTMeanUncomp = mean([jets[1].pt,jets[2].pt,jets[3].pt])
pTSDUncomp = std([jets[1].pt,jets[2].pt,jets[3].pt])
self.h_pTMeanComp.Fill(pTMeanComp,genWeight)
self.h_pTSDComp.Fill(pTSDComp,genWeight)
self.h_pTSDMeanFracComp.Fill(pTSDComp / pTMeanComp,genWeight)
self.h_pTMeanUncomp.Fill(pTMeanUncomp,genWeight)
self.h_pTSDUncomp.Fill(pTSDUncomp,genWeight)
self.h_pTSDMeanFracUncomp.Fill(pTSDUncomp / pTMeanUncomp,genWeight)
if len(jets) >= 3:
self.h_m3.Fill(sumJet3.M(),genWeight)
self.h_dEta13.Fill(abs(jets[0].eta - jets[2].eta),genWeight)
self.h_dPhi13.Fill(abs(jets[0].p4().DeltaPhi(jets[2].p4())),genWeight)
self.h_dR13.Fill(abs(jets[0].p4().DeltaR(jets[2].p4())),genWeight)
self.h_dEta23.Fill(abs(jets[1].eta - jets[2].eta),genWeight)
self.h_dPhi23.Fill(abs(jets[1].p4().DeltaPhi(jets[2].p4())),genWeight)
self.h_dR23.Fill(abs(jets[1].p4().DeltaR(jets[2].p4())),genWeight)
self.h_pT3Frac.Fill(jets[2].pt / HT,genWeight)
self.h_pT3ETFracComp.Fill(jets[2].pt / sumJet3.Et(),genWeight)
self.h_pT3ETFracUncomp.Fill(jets[2].pt / sumJet3NoLead.Et(),genWeight)
self.h_pT3FracChiComp.Fill(jets[2].pt / HT3,genWeight)
self.h_pT3FracChiUncomp.Fill(jets[2].pt / HT3NoLead,genWeight)
if len(jets) >= 2:
self.h_dEta12.Fill(abs(jets[0].eta - jets[1].eta),genWeight)
self.h_dPhi12.Fill(abs(jets[0].p4().DeltaPhi(jets[1].p4())),genWeight)
self.h_dR12.Fill(abs(jets[0].p4().DeltaR(jets[1].p4())),genWeight)
self.h_pT2Frac.Fill(jets[1].pt / HT,genWeight)
self.h_pT2ETFracComp.Fill(jets[1].pt / sumJet3.Et(),genWeight)
self.h_pT2ETFracUncomp.Fill(jets[1].pt / sumJet3NoLead.Et(),genWeight)
self.h_pT2FracChiComp.Fill(jets[1].pt / HT3,genWeight)
self.h_pT2FracChiUncomp.Fill(jets[1].pt / HT3NoLead,genWeight)
if len(jets) >= 1:
self.h_HT.Fill(HT,genWeight)
self.h_mAll.Fill(sumJet.M(),genWeight)
self.h_pT1Frac.Fill(jets[0].pt / HT,genWeight)
self.h_pT1ETFracComp.Fill(jets[0].pt / sumJet3.Et(),genWeight)
self.h_pT1ETFracUncomp.Fill(jets[0].pt / sumJet3NoLead.Et(),genWeight)
self.h_pT1FracChiComp.Fill(jets[0].pt / HT3,genWeight)
self.h_pT1FracChiUncomp.Fill(jets[0].pt / HT3NoLead,genWeight)
jetCombos2D = [[''.join(map(str,i)),''.join(map(str,j))] for i,j in combinations(combinations([1,2,3,4],2),2)]
self.fill2DHists(['dPhi{}Vs{}'.format(i,j) for [i,j] in jetCombos2D],
[abs(jets[int(i)-1].p4().DeltaPhi(jets[int(j)-1].p4())) for i,j in [x[1] for x in jetCombos2D]],
[abs(jets[int(i)-1].p4().DeltaPhi(jets[int(j)-1].p4())) for i,j in [x[0] for x in jetCombos2D]],
genWeight)
# b jets
for i,b in enumerate(looseBs):
if i == 0: self.h_pTb1.Fill(b.pt,genWeight)
elif i == 1: self.h_pTb2.Fill(b.pt,genWeight)
elif i == 2: self.h_pTb3.Fill(b.pt,genWeight)
elif i == 3: self.h_pTb4.Fill(b.pt,genWeight)
if len(looseBs) >= 2:
self.h_dEtabb.Fill(abs(looseBs[0].eta - looseBs[1].eta),genWeight)
self.h_dPhibb.Fill(abs(looseBs[0].p4().DeltaPhi(looseBs[1].p4())),genWeight)
self.h_dRbb.Fill(abs(looseBs[0].p4().DeltaR(looseBs[1].p4())),genWeight)
self.h_dEtaRecoComp.Fill(abs(sumJet3.Eta() - sumJet4.Eta()),genWeight)
self.h_dPhiRecoComp.Fill(abs(sumJet3.DeltaPhi(sumJet4)),genWeight)
self.h_dRRecoComp.Fill(abs(sumJet3.DeltaR(sumJet4)),genWeight)
self.h_dEtaRecoUncomp.Fill(abs(sumJet3NoLead.Eta() - sumJet4.Eta()),genWeight)
self.h_dPhiRecoUncomp.Fill(abs(sumJet3NoLead.DeltaPhi(sumJet4)),genWeight)
self.h_dRRecoUncomp.Fill(abs(sumJet3NoLead.DeltaR(sumJet4)),genWeight)
# Fat jets (AK8)
if len(fatJets) >= 1:
self.h_pTFat1.Fill(fatJets[0].pt)
self.h_mSoftFat1.Fill(fatJets[0].msoftdrop)
return True
parser = argparse.ArgumentParser(description='Single Stop Analyzer')
parser.add_argument('--sample',type=str,default='signal',choices=['Data2018','signal','TT','TT2018','QCD','QCD2018','QCDInclusive2018','ZQQ2018','ST2018','WQQ2018','ZNuNu2018','Diboson2018'],help='Sample to run over')
parser.add_argument('--tag',type=str,default='test',help='Tag for output label')
parser.add_argument('-n',type=int,default=1,help='Sample index to run over for backgrounds')
parser.add_argument('--points',type=str,default='all',help='Signal point(s) to run over, comma separated in MSTOP_MCHI format; "all" to run over all available points')
parser.add_argument('--useskim',action='store_true',default=False,help='Flag to use NANOAODs skimmed with the nominal selections')
parser.add_argument('--CR0b',action='store_true',default=False,help='Flag to use the 0b CR selection')
args = parser.parse_args()
outputPath = 'output/{}'.format(args.tag)
if not os.path.exists(outputPath):
os.makedirs(outputPath)
if args.sample == 'TT': sampleFile = 'TTToHadronic.txt'
elif args.sample == 'TT2018': sampleFile = 'TTToHadronic2018.txt'
elif args.sample == 'QCD': sampleFile = 'QCDBEnriched.txt'
elif args.sample == 'QCD2018': sampleFile = 'QCDBEnriched2018.txt'
elif args.sample == 'QCDInclusive2018': sampleFile = 'QCDInclusive2018.txt'
elif args.sample == 'ZQQ2018': sampleFile = 'ZJetsToQQ2018.txt'
elif args.sample == 'ST2018': sampleFile = 'STHadronic2018.txt'
elif args.sample == 'WQQ2018': sampleFile = 'WJetsToQQ2018.txt'
elif args.sample == 'ZNuNu2018': sampleFile = 'ZJetsToNuNu2018.txt'
elif args.sample == 'Diboson2018': sampleFile = 'Diboson2018.txt'
elif args.sample == 'Data2018': sampleFile = 'Data2018.txt'
elif args.sample != 'signal': print('ERROR: Unexpected sample argument')
preselection = (
'(Jet_pt[3] > 30) &&'
'(Jet_pt[0] > 300) &&'
'(HLT_PFHT1050 || HLT_AK8PFJet400_TrimMass30)'
)
if args.sample == 'Data2018':
print('Running over {} files'.format(args.sample))
print('Blinding data, only using CR cuts (0 loose b\'s)')
print('Using UL 2018 campaign working points')
files = open('samples/{}'.format(sampleFile)).read().split('\n')
files = [['root://cmsxrootd.fnal.gov/' + x.replace('/eos/uscms','') for x in files][:-1][args.n - 1]]
if len(files) != 1: print('WARNING: Multiple files selected. All must be from the same MC campaign.')
if 'UL2016' in files[0]:
if 'preVFP' in files[0]: MCCampaign = 'UL2016preVFP'
else: MCCampaign = 'UL2016postVFP'
elif 'UL2017' in files[0]: MCCampaign = 'UL2017'
elif 'UL2018' in files[0]: MCCampaign = 'UL2018'
else:
print('ERROR: Unable to determine campaign of {}'.format(files[0]))
sys.exit()
p = PostProcessor(".", files, cut=preselection, branchsel=None,
modules=[ExampleAnalysis(isData=1,
isSignal=0,
MCCampaign=MCCampaign,
isSkimmed=False,
isCR0b=args.CR0b)],
noOut=True, histFileName='{}/{}-{}.root'.format(outputPath,args.sample,args.n), histDirName="plots",
maxEntries=None)
p.run()
elif args.sample == 'signal':
allPoints = ['1000_400','1000_600','1000_900',
'1200_400','1200_600','1200_1100',
'1300_400','1300_600','1300_1200',
'1400_400','1400_600','1400_1300',
'1500_400','1500_600','1500_900','1500_1400',
'2000_400','2000_600','2000_900','2000_1400','2000_1900']
if args.points == 'all':
print('Running over all available signal points...')
points = allPoints
elif '_' in args.points:
points = args.points.split(',')
if False in [x in allPoints for x in points]:
print('ERROR: Invalid --points argument provided. Available signal points: {}'.format(allPoints))
sys.exit()
else:
print('ERROR: Invalid --points arguement format provided')
sys.exit()
for masses in points:
files = glob.glob('/eos/uscms/store/user/dmahon/condor/RPVSingleStopMC/NANOAOD-ALL/NANOAOD-{}.root'.format(masses))
#files = glob.glob('/eos/uscms/store/user/dmahon/condor/RPVSingleStopMC/NANOAOD/NANOAOD-{}-*.root'.format(masses))
files = ['root://cmsxrootd.fnal.gov/' + x.replace('/eos/uscms','') for x in files]
#files = ['file:/uscms_data/d3/dmahon/RPVSingleStopRun3Patched/NANOAOD/CMSSW_12_4_5/test_2000_100-1.root']
#files = ['/uscms_data/d3/dmahon/RPVSingleStopRun3Patched/NANOAOD/files/NANOAOD-{}.root'.format(masses)]
p = PostProcessor(".", files, cut=preselection, branchsel=None,
modules=[ExampleAnalysis(isData=0,
isSignal=1,
MCCampaign='UL2018',
isSkimmed=False,
isCR0b=args.CR0b)],
noOut=True, histFileName='{}/{}_{}.root'.format(outputPath,args.sample,masses), histDirName="plots",
maxEntries=None)
p.run()
elif args.useskim:
print('Running over skimmed {} files'.format(args.sample))
print('Using UL 2018 MC campaign working points')
files = ['root://cmsxrootd.fnal.gov//store/user/ckapsiak/SingleStop/Skims/Skim_2023_23_03/{}.root'.format(args.sample)]
if len(files) != 1: print('WARNING: Multiple files selected. All must be from the same MC campaign.')
p = PostProcessor(".", files, cut='', branchsel=None,
modules=[ExampleAnalysis(isData=0,
isSignal=0,
MCCampaign='UL2018',
isSkimmed=True,
isCR0b=args.CR0b)],
noOut=True, histFileName='{}/{}-ALL.root'.format(outputPath,args.sample), histDirName="plots",
maxEntries=None)
p.run()
else:
print('Running over file index {} for sample {}'.format(args.n,args.sample))
files = open('samples/{}'.format(sampleFile)).read().split('\n')
files = [['root://cmsxrootd.fnal.gov/' + x.replace('/eos/uscms','') for x in files][:-1][args.n - 1]]
if len(files) != 1: print('WARNING: Multiple files selected. All must be from the same MC campaign.')
if 'UL16' in files[0]:
if 'preVFP' in files[0]: MCCampaign = 'UL2016preVFP'
else: MCCampaign = 'UL2016postVFP'
elif 'UL17' in files[0]: MCCampaign = 'UL2017'
elif 'UL18' in files[0]: MCCampaign = 'UL2018'
else:
print('ERROR: Unable to determine MC campaign of {}'.format(files[0]))
sys.exit()
p = PostProcessor(".", files, cut=preselection, branchsel=None,
modules=[ExampleAnalysis(isData=0,
isSignal=0,
MCCampaign=MCCampaign,
isSkimmed=False,
isCR0b=args.CR0b)],
noOut=True, histFileName='{}/{}-{}.root'.format(outputPath,args.sample,args.n), histDirName="plots",
maxEntries=None)
p.run()