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create_root_csv_pp_WH.py
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create_root_csv_pp_WH.py
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#!/usr/bin/python
import sys
import ROOT
import numpy as np
from ROOT import TLorentzVector
import csv
import pandas as pd
from ROOT import TFile, TTree
from rootpy.io import root_open
from rootpy.tree import Tree, TreeChain
from rootpy.plotting import Hist
from rootpy.plotting import Hist2D
from rootpy.extern.six.moves import range
from root_numpy import hist2array, root2array
from itertools import combinations, permutations
if len(sys.argv) < 2:
print " Usage: Example1.py input_file"
sys.exit(1)
ROOT.gSystem.Load("/home/felipe/madanalysis5_1_5/tools/delphes/libDelphes")
inputFile = sys.argv[1]
# Create chain of root trees
chain1 = ROOT.TChain("Delphes")
chain1.Add(inputFile)
# Create object of class ExRootTreeReader
treeReader = ROOT.ExRootTreeReader(chain1)
numberOfEntries = treeReader.GetEntries()
# create new root file
root_name = raw_input("name of new root: ")
csv_name = raw_input("name of new csv: ")
f = root_open(root_name, "recreate")
tree = Tree("test")
tree.create_branches({'PT_l': 'F',
'MT_VH': 'F',
'PT_VH': 'F',
'PT_W': 'F',
'Cos_lw': 'F',
'DPHI_lmet': 'F',
'met': 'F',
'PT_b1': 'F',
'PT_b2': 'F',
'PT_lj1': 'F',
'PT_lj2': 'F',
'Eta_H': 'F',
'Phi_H': 'F',
'M_H': 'F',
'MT_W': 'F',
'Cos_Hb1': 'F',
'PT_H': 'F',
})
# Get pointers to branches used in this analysis
branchJet = treeReader.UseBranch("Jet")
branchElectron = treeReader.UseBranch("Electron")
branchMuon = treeReader.UseBranch("Muon")
branchPhoton = treeReader.UseBranch("Photon")
branchMET = treeReader.UseBranch("MissingET")
####################################################################
# Loop over all events
for entry in range(0, numberOfEntries):
# Load selected branches with data from specified event
treeReader.ReadEntry(entry)
##########################################################################################################
eletrons = sorted(branchElectron, key=lambda Electron: Electron.PT, reverse=True)
missing = sorted(branchMET, key=lambda MisingET: MisingET.MET, reverse=True)
elec1 = eletrons[0]
eletron1 = ROOT.TLorentzVector()
eletron1.SetPtEtaPhiE(elec1.PT,elec1.Eta,elec1.Phi,elec1.P4().E())
met = ROOT.TLorentzVector()
met.SetPtEtaPhiE(missing[0].P4().Pt(),missing[0].P4().Eta(),missing[0].P4().Phi(),missing[0].P4().E())
bjato1 = ROOT.TLorentzVector()
bjato2 = ROOT.TLorentzVector()
jato1 = ROOT.TLorentzVector()
jato2 = ROOT.TLorentzVector()
####################################################################################
bjets, ljets = [], []
for n in xrange(branchJet.GetEntries()):
if branchJet.At(n).BTag == 1:
bjets.append(branchJet.At(n))
else:
ljets.append(branchJet.At(n))
if len(bjets) >= 2:
bjets = sorted(bjets, key=lambda BJet: BJet.P4().Pt(), reverse=True)
else:
continue
if len(ljets) >= 2:
ljets = sorted(ljets, key=lambda Jet: Jet.P4().Pt(), reverse=True)
else:
continue
####################################################################################
jato1.SetPtEtaPhiE(ljets[0].P4().Pt(),ljets[0].P4().Eta(),ljets[0].P4().Phi(),ljets[0].P4().E())
jato2.SetPtEtaPhiE(ljets[1].P4().Pt(),ljets[1].P4().Eta(),ljets[1].P4().Phi(),ljets[1].P4().E())
####################################################################################
bjato1.SetPtEtaPhiE(bjets[0].P4().Pt(),bjets[0].P4().Eta(),bjets[0].P4().Phi(),bjets[0].P4().E())
bjato2.SetPtEtaPhiE(bjets[1].P4().Pt(),bjets[1].P4().Eta(),bjets[1].P4().Phi(),bjets[1].P4().E())
####################################################################################
if 115 < (bjato1 + bjato2).M() < 135:
tree.PT_l = (eletron1).Pt()
tree.met = np.abs(met.Mt())
tree.PT_b1 = (bjato1).Pt()
tree.PT_b2 = (bjato2).Pt()
tree.PT_lj1 = jato1.Pt()
tree.PT_lj2 = jato2.Pt()
tree.PT_H = (bjato1 + bjato2).Pt()
tree.Eta_H = (bjato1 + bjato2).Eta()
W = ROOT.TLorentzVector()
W = (eletron1 + met)
tree.DPHI_lmet = np.abs(eletron1.DeltaPhi(met))
tree.MT_W = np.sqrt(2*np.abs(met.Et())*np.abs(eletron1.Pt())*(1-np.cos(eletron1.DeltaPhi(met))))
tree.PT_W = W.Pt()
H = ROOT.TLorentzVector()
H = (bjato1 + bjato2)
tree.MT_VH = (W + H).Mt() #H.Mt() + np.sqrt(2*np.abs(met.Et())*np.abs(eletron1.Pt())*(1-np.cos(eletron1.DeltaPhi(met))))
tree.PT_VH = ((bjato1 + bjato2) + (eletron1 + met)).Pt()
tree.Phi_H = H.Phi()
tree.M_H = H.M()
#########################boosted objects#########################################################
Wtob = ROOT.TLorentzVector()
Wtob.SetPxPyPzE(W.Px(),W.Py(),W.Pz(),W.E())
Wboost = ROOT.TVector3()
Wboost = Wtob.BoostVector()
v = Wboost.Unit()
Htob = ROOT.TLorentzVector()
Htob.SetPxPyPzE(H.Px(),H.Py(),H.Pz(),H.E())
Hboost = ROOT.TVector3()
Hboost = Htob.BoostVector()
ang = Hboost.Unit()
bjato1.Boost(-Hboost)
tree.Cos_Hb1 = np.cos(bjato1.Angle(ang))
eletron1.Boost(-Wboost)
tree.Cos_lw = np.cos(eletron1.Angle(v))
tree.Fill()
###############################################
tree.write()
f.close()
#create the csv output
to_convert = root2array(root_name,'test')
df_conv = pd.DataFrame(to_convert)
df_conv.to_csv( csv_name + '.csv', index=False, header= df_conv.keys(), mode='w', sep=' ')