/
Signal_plotter.py
executable file
·723 lines (576 loc) · 30.6 KB
/
Signal_plotter.py
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#!/bin/env python
from DukePlotALot import *
from DukePlotALot2D import *
from plotlib import HistStorage,getColorList,getDictValue,HistStorageContainer
import matplotlib.pyplot as plt
from configobj import ConfigObj
try:
from collections import OrderedDict
except ImportError:
from ordered import OrderedDict
from rootpy.plotting.views import ScaleView
from rootpy.io import root_open
from rootpy.plotting import Graph
import style_class as sc
from object_plotting import *
import ROOT as r
def eff_rebinner(input_eff, rebinfac):
all_hist = input_eff.GetCopyTotalHisto()
pass_hist = input_eff.GetCopyPassedHisto()
all_hist.Rebin(rebinfac)
pass_hist.Rebin(rebinfac)
output_eff = r.TEfficiency(pass_hist, all_hist)
return output_eff
def make_individual_res_plot():
pass
def main():
basedir="/disk1/erdweg/television/SIGNAL/merged/"
# lumi=19712
# xs= ConfigObj("/disk1/erdweg/plotting/xs_Phys14.cfg")
# bghists=HistStorage(xs,lumi,path=basedir,isData=True)
colors = ['lime', 'deepskyblue', 'magenta', 'orangered']
bglist=OrderedDict()
bglist = [
'RPVresonantToEMu_M-200_LLE_LQD-001_13TeV_CA-skimid1965',
'RPVresonantToEMu_M-300_LLE_LQD-001_13TeV_CA-skimid1829',
'RPVresonantToEMu_M-400_LLE_LQD-001_13TeV_CA-skimid1954',
'RPVresonantToEMu_M-500_LLE_LQD-001_13TeV_CA-skimid1827',
'RPVresonantToEMu_M-600_LLE_LQD-001_13TeV_CA-skimid1888',
'RPVresonantToEMu_M-700_LLE_LQD-001_13TeV_CA-skimid1884',
'RPVresonantToEMu_M-800_LLE_LQD-001_13TeV_CA-skimid1935',
'RPVresonantToEMu_M-900_LLE_LQD-001_13TeV_CA-skimid1966',
'RPVresonantToEMu_M-1000_LLE_LQD-001_13TeV_CA-skimid1891',
'RPVresonantToEMu_M-1200_LLE_LQD-001_13TeV_CA-skimid1892',
'RPVresonantToEMu_M-1400_LLE_LQD-001_13TeV_CA-skimid1857',
'RPVresonantToEMu_M-1600_LLE_LQD-001_13TeV_CA-skimid1859',
'RPVresonantToEMu_M-1800_LLE_LQD-001_13TeV_CA-skimid1834',
'RPVresonantToEMu_M-2000_LLE_LQD-001_13TeV_CA-skimid1831',
'RPVresonantToEMu_M-2500_LLE_LQD-001_13TeV_CA-skimid1974',
'RPVresonantToEMu_M-3000_LLE_LQD-01_13TeV_CA-skimid1835',
'RPVresonantToEMu_M-3000_LLE_LQD-001_13TeV_CA-skimid1960',
'RPVresonantToEMu_M-3500_LLE_LQD-001_13TeV_CA-skimid1889',
'RPVresonantToEMu_M-3500_LLE_LQD-01_13TeV_CA-skimid2064',
'RPVresonantToEMu_M-4000_LLE_LQD-001_13TeV_CA-skimid1833',
'RPVresonantToEMu_M-4000_LLE_LQD-01_13TeV_CA-skimid1984',
'RPVresonantToEMu_M-4000_LLE_LQD-02_13TeV_CA-skimid1929',
'RPVresonantToEMu_M-4000_LLE_LQD-05_13TeV_CA-skimid1976',
'RPVresonantToEMu_M-4500_LLE_LQD-001_13TeV_CA-skimid1832',
'RPVresonantToEMu_M-4500_LLE_LQD-02_13TeV_CA-skimid1964',
'RPVresonantToEMu_M-4500_LLE_LQD-05_13TeV_CA-skimid1977',
'RPVresonantToEMu_M-5000_LLE_LQD-001_13TeV_CA-skimid1983',
'RPVresonantToEMu_M-5000_LLE_LQD-02_13TeV_CA-skimid1975',
'RPVresonantToEMu_M-5000_LLE_LQD-05_13TeV_CA-skimid1828',
'RPVresonantToEMu_M-5500_LLE_LQD-001_13TeV_CA-skimid1869',
'RPVresonantToEMu_M-5500_LLE_LQD-02_13TeV_CA-skimid1858',
'RPVresonantToEMu_M-5500_LLE_LQD-05_13TeV_CA-skimid1830',
'RPVresonantToEMu_M-6000_LLE_LQD-001_13TeV_CA-skimid1887',
'RPVresonantToEMu_M-6000_LLE_LQD-02_13TeV_CA-skimid1927',
'RPVresonantToEMu_M-6000_LLE_LQD-05_13TeV_CA-skimid1890',
'RPVresonantToEMu_M-6500_LLE_LQD-001_13TeV_CA-skimid1967',
'RPVresonantToEMu_M-6500_LLE_LQD-02_13TeV_CA-skimid1873',
'RPVresonantToEMu_M-6500_LLE_LQD-05_13TeV_CA-skimid1886',
]
colorList={}
colorList['RPVresonantToEMu_M-200_LLE_LQD-001_13TeV_CA-skimid1965'] = 'lightblue'
colorList['RPVresonantToEMu_M-300_LLE_LQD-001_13TeV_CA-skimid1829'] = 'lightblue'
colorList['RPVresonantToEMu_M-400_LLE_LQD-001_13TeV_CA-skimid1954'] = 'lightblue'
colorList['RPVresonantToEMu_M-500_LLE_LQD-001_13TeV_CA-skimid1827'] = 'lightblue'
colorList['RPVresonantToEMu_M-600_LLE_LQD-001_13TeV_CA-skimid1888'] = 'lightblue'
colorList['RPVresonantToEMu_M-700_LLE_LQD-001_13TeV_CA-skimid1884'] = 'lightblue'
colorList['RPVresonantToEMu_M-800_LLE_LQD-001_13TeV_CA-skimid1935'] = 'lightblue'
colorList['RPVresonantToEMu_M-900_LLE_LQD-001_13TeV_CA-skimid1966'] = 'lightblue'
colorList['RPVresonantToEMu_M-1000_LLE_LQD-001_13TeV_CA-skimid1891'] = 'lightblue'
colorList['RPVresonantToEMu_M-1200_LLE_LQD-001_13TeV_CA-skimid1892'] = 'lightblue'
colorList['RPVresonantToEMu_M-1400_LLE_LQD-001_13TeV_CA-skimid1857'] = 'lightblue'
colorList['RPVresonantToEMu_M-1600_LLE_LQD-001_13TeV_CA-skimid1859'] = 'lightblue'
colorList['RPVresonantToEMu_M-1800_LLE_LQD-001_13TeV_CA-skimid1834'] = 'lightblue'
colorList['RPVresonantToEMu_M-2000_LLE_LQD-001_13TeV_CA-skimid1831'] = 'lightblue'
colorList['RPVresonantToEMu_M-2500_LLE_LQD-001_13TeV_CA-skimid1974'] = 'lightblue'
colorList['RPVresonantToEMu_M-3000_LLE_LQD-01_13TeV_CA-skimid1835'] = 'lightblue'
colorList['RPVresonantToEMu_M-3000_LLE_LQD-001_13TeV_CA-skimid1960'] = 'lightblue'
colorList['RPVresonantToEMu_M-3500_LLE_LQD-001_13TeV_CA-skimid1889'] = 'lightblue'
colorList['RPVresonantToEMu_M-3500_LLE_LQD-01_13TeV_CA-skimid2064'] = 'lightblue'
colorList['RPVresonantToEMu_M-4000_LLE_LQD-001_13TeV_CA-skimid1833'] = 'lightblue'
colorList['RPVresonantToEMu_M-4000_LLE_LQD-01_13TeV_CA-skimid1984'] = 'lightblue'
colorList['RPVresonantToEMu_M-4000_LLE_LQD-02_13TeV_CA-skimid1929'] = 'lightblue'
colorList['RPVresonantToEMu_M-4000_LLE_LQD-05_13TeV_CA-skimid1976'] = 'lightblue'
colorList['RPVresonantToEMu_M-4500_LLE_LQD-001_13TeV_CA-skimid1832'] = 'lightblue'
colorList['RPVresonantToEMu_M-4500_LLE_LQD-02_13TeV_CA-skimid1964'] = 'lightblue'
colorList['RPVresonantToEMu_M-4500_LLE_LQD-05_13TeV_CA-skimid1977'] = 'lightblue'
colorList['RPVresonantToEMu_M-5000_LLE_LQD-001_13TeV_CA-skimid1983'] = 'lightblue'
colorList['RPVresonantToEMu_M-5000_LLE_LQD-02_13TeV_CA-skimid1975'] = 'lightblue'
colorList['RPVresonantToEMu_M-5000_LLE_LQD-05_13TeV_CA-skimid1828'] = 'lightblue'
colorList['RPVresonantToEMu_M-5500_LLE_LQD-001_13TeV_CA-skimid1869'] = 'lightblue'
colorList['RPVresonantToEMu_M-5500_LLE_LQD-02_13TeV_CA-skimid1858'] = 'lightblue'
colorList['RPVresonantToEMu_M-5500_LLE_LQD-05_13TeV_CA-skimid1830'] = 'lightblue'
colorList['RPVresonantToEMu_M-6000_LLE_LQD-001_13TeV_CA-skimid1887'] = 'lightblue'
colorList['RPVresonantToEMu_M-6000_LLE_LQD-02_13TeV_CA-skimid1927'] = 'lightblue'
colorList['RPVresonantToEMu_M-6000_LLE_LQD-05_13TeV_CA-skimid1890'] = 'lightblue'
colorList['RPVresonantToEMu_M-6500_LLE_LQD-001_13TeV_CA-skimid1967'] = 'lightblue'
colorList['RPVresonantToEMu_M-6500_LLE_LQD-02_13TeV_CA-skimid1873'] = 'lightblue'
colorList['RPVresonantToEMu_M-6500_LLE_LQD-05_13TeV_CA-skimid1886'] = 'lightblue'
hists=['HLT_Effs/eff_HLT_HLT_Mu50_v1_vs_Nvtx',
'HLT_Effs/eff_HLT_HLT_Mu50_v1_vs_pT(Mu)',
#'HLT_Effs/eff_HLT_HLT_Mu30_TkMu11_v1_vs_Nvtx',
#'HLT_Effs/eff_HLT_HLT_Mu23_TrkIsoVVL_Ele12_Gsf_CaloId_TrackId_Iso_MediumWP_v1_vs_Nvtx',
#'HLT_Effs/eff_HLT_HLT_Mu17_TrkIsoVVL_TkMu8_TrkIsoVVL_v1_vs_Nvtx',
#'HLT_Effs/eff_HLT_HLT_Mu17_TrkIsoVVL_Mu8_TrkIsoVVL_v1_vs_Nvtx',
#'HLT_Effs/eff_HLT_HLT_Mu17_Mu8_v1_vs_Nvtx',
#'HLT_Effs/eff_HLT_HLT_IsoMu17_eta2p1_LooseIsoPFTau20_v1_vs_Nvtx',
#'HLT_Effs/eff_HLT_HLT_Ele95_CaloIdVT_GsfTrkIdT_v1_vs_Nvtx',
#'HLT_Effs/eff_HLT_HLT_Ele95_CaloIdVT_GsfTrkIdT_v1_vs_pT(Ele)',
#'HLT_Effs/eff_HLT_HLT_Ele23_Ele12_CaloId_TrackId_Iso_v1_vs_Nvtx',
#'HLT_Effs/eff_HLT_HLT_Ele22_eta2p1_WP85_Gsf_LooseIsoPFTau20_v1_vs_Nvtx',
'RECO_Effs/eff_Ele_RECO_vs_Nvtx',
'RECO_Effs/eff_Ele_RECO_vs_pT',
# 'RECO_Effs/eff_MET_RECO_vs_Nvtx',
# 'RECO_Effs/eff_MET_RECO_vs_pT',
'RECO_Effs/eff_Muon_RECO_vs_Nvtx',
'RECO_Effs/eff_Muon_RECO_vs_pT',
# 'RECO_Effs/eff_Tau_RECO_vs_Nvtx',
# 'RECO_Effs/eff_Tau_RECO_vs_pT',
'RECO_Effs/eff_Ele_RECO_vs_Nvtx_in_Acc',
'RECO_Effs/eff_Ele_RECO_vs_pT_in_Acc',
'RECO_Effs/eff_Muon_RECO_vs_Nvtx_in_Acc',
'RECO_Effs/eff_Muon_RECO_vs_pT_in_Acc',
# 'RECO_Effs/eff_Tau_RECO_vs_Nvtx_in_Acc',
# 'RECO_Effs/eff_Tau_RECO_vs_pT_in_Acc',
'ID_Effs/eff_Ele_ID_vs_Nvtx',
'ID_Effs/eff_Ele_ID_vs_Nvtx_in_Acc',
'ID_Effs/eff_Ele_ID_vs_pT',
'ID_Effs/eff_Ele_ID_vs_pT_gen',
'ID_Effs/eff_Ele_ID_vs_pT_in_Acc',
'ID_Effs/eff_Ele_ID_vs_pT_in_Acc_gen',
'ID_Effs/eff_Muon_ID_vs_Nvtx',
'ID_Effs/eff_Muon_ID_vs_Nvtx_in_Acc',
'ID_Effs/eff_Muon_ID_vs_pT',
'ID_Effs/eff_Muon_ID_vs_pT_gen',
'ID_Effs/eff_Muon_ID_vs_pT_in_Acc',
'ID_Effs/eff_Muon_ID_vs_pT_in_Acc_gen',
# 'ID_Effs/eff_Tau_ID_vs_Nvtx',
# 'ID_Effs/eff_Tau_ID_vs_Nvtx_in_Acc',
# 'ID_Effs/eff_Tau_ID_vs_pT',
# 'ID_Effs/eff_Tau_ID_vs_pT_gen',
# 'ID_Effs/eff_Tau_ID_vs_pT_in_Acc',
# 'ID_Effs/eff_Tau_ID_vs_pT_in_Acc_gen',
]
overall_hists = [
['emu/eff_emu_Acc_vs_Mass','emu/eff_emu_RECO_vs_Mass','emu/eff_emu_Eff_vs_Mass'],
['emu/eff_emu_Acc_vs_Nvtx','emu/eff_emu_RECO_vs_Nvtx','emu/eff_emu_Eff_vs_Nvtx'],
]
eff_colorList={}
eff_colorList['emu/eff_emu_Acc_vs_Mass'] = 'deepskyblue'
eff_colorList['emu/eff_emu_RECO_vs_Mass'] = 'darkgreen'
eff_colorList['emu/eff_emu_Eff_vs_Mass'] = 'red'
eff_colorList['emu/eff_emu_Acc_vs_Nvtx'] = 'deepskyblue'
eff_colorList['emu/eff_emu_RECO_vs_Nvtx'] = 'darkgreen'
eff_colorList['emu/eff_emu_Eff_vs_Nvtx'] = 'red'
hists2D=['HLT_Effs/eff_HLT_HLT_Mu50_v1_vs_eta_vs_phi(Mu)',
#'HLT_Effs/eff_HLT_HLT_Mu30_TkMu11_v1_vs_eta_vs_phi(Mu)',
#'HLT_Effs/eff_HLT_HLT_Mu30_TkMu11_v1_vs_pT(Mu,Mu)',
#'HLT_Effs/eff_HLT_HLT_Mu23_TrkIsoVVL_Ele12_Gsf_CaloId_TrackId_Iso_MediumWP_v1_vs_eta_vs_phi(Ele)',
#'HLT_Effs/eff_HLT_HLT_Mu23_TrkIsoVVL_Ele12_Gsf_CaloId_TrackId_Iso_MediumWP_v1_vs_eta_vs_phi(Mu)',
#'HLT_Effs/eff_HLT_HLT_Mu23_TrkIsoVVL_Ele12_Gsf_CaloId_TrackId_Iso_MediumWP_v1_vs_pT(Mu,Ele)',
#'HLT_Effs/eff_HLT_HLT_Mu17_TrkIsoVVL_Mu8_TrkIsoVVL_v1_vs_eta_vs_phi(Mu)',
#'HLT_Effs/eff_HLT_HLT_Mu17_TrkIsoVVL_Mu8_TrkIsoVVL_v1_vs_pT(Mu,Mu)',
#'HLT_Effs/eff_HLT_HLT_Mu17_TrkIsoVVL_TkMu8_TrkIsoVVL_v1_vs_eta_vs_phi(Mu)',
#'HLT_Effs/eff_HLT_HLT_Mu17_TrkIsoVVL_TkMu8_TrkIsoVVL_v1_vs_pT(Mu,Mu)',
#'HLT_Effs/eff_HLT_HLT_Mu17_Mu8_v1_vs_eta_vs_phi(Mu)',
#'HLT_Effs/eff_HLT_HLT_Mu17_Mu8_v1_vs_pT(Mu,Mu)',
#'HLT_Effs/eff_HLT_HLT_IsoMu17_eta2p1_LooseIsoPFTau20_v1_vs_eta_vs_phi(Mu)',
#'HLT_Effs/eff_HLT_HLT_IsoMu17_eta2p1_LooseIsoPFTau20_v1_vs_eta_vs_phi(Tau)',
#'HLT_Effs/eff_HLT_HLT_IsoMu17_eta2p1_LooseIsoPFTau20_v1_vs_pT(Mu,Tau)',
#'HLT_Effs/eff_HLT_HLT_Ele95_CaloIdVT_GsfTrkIdT_v1_vs_eta_vs_phi(Ele)',
#'HLT_Effs/eff_HLT_HLT_Ele23_Ele12_CaloId_TrackId_Iso_v1_vs_eta_vs_phi(Ele)',
#'HLT_Effs/eff_HLT_HLT_Ele23_Ele12_CaloId_TrackId_Iso_v1_vs_pT(Ele,Ele)',
#'HLT_Effs/eff_HLT_HLT_Ele22_eta2p1_WP85_Gsf_LooseIsoPFTau20_v1_vs_eta_vs_phi(Ele)',
#'HLT_Effs/eff_HLT_HLT_Ele22_eta2p1_WP85_Gsf_LooseIsoPFTau20_v1_vs_eta_vs_phi(Tau)',
#'HLT_Effs/eff_HLT_HLT_Ele22_eta2p1_WP85_Gsf_LooseIsoPFTau20_v1_vs_pT(Ele,Tau)',
'RECO_Effs/eff_Ele_RECO_vs_eta_vs_phi',
# 'RECO_Effs/eff_MET_RECO_vs_eta_vs_phi',
'RECO_Effs/eff_Muon_RECO_vs_eta_vs_phi',
# 'RECO_Effs/eff_Tau_RECO_vs_eta_vs_phi',
'RECO_Effs/eff_Ele_RECO_vs_eta_vs_phi_in_Acc',
'RECO_Effs/eff_Muon_RECO_vs_eta_vs_phi_in_Acc',
# 'RECO_Effs/eff_Tau_RECO_vs_eta_vs_phi_in_Acc',
'ID_Effs/eff_Ele_ID_vs_eta_vs_phi',
'ID_Effs/eff_Ele_ID_vs_eta_vs_phi_gen',
'ID_Effs/eff_Ele_ID_vs_eta_vs_phi_in_Acc',
'ID_Effs/eff_Ele_ID_vs_eta_vs_phi_in_Acc_gen',
'ID_Effs/eff_Muon_ID_vs_eta_vs_phi',
'ID_Effs/eff_Muon_ID_vs_eta_vs_phi_gen',
'ID_Effs/eff_Muon_ID_vs_eta_vs_phi_in_Acc',
'ID_Effs/eff_Muon_ID_vs_eta_vs_phi_in_Acc_gen',
# 'ID_Effs/eff_Tau_ID_vs_eta_vs_phi',
# 'ID_Effs/eff_Tau_ID_vs_eta_vs_phi_gen',
# 'ID_Effs/eff_Tau_ID_vs_eta_vs_phi_in_Acc',
# 'ID_Effs/eff_Tau_ID_vs_eta_vs_phi_in_Acc_gen',
]
res_histos = [
'emu/Stage_0/h2_0_emu_Mass_resolution'
]
res_histos1D = [
'emu/Stage_0/h1_0_emu_Mass_resolution'
]
binning={
"_vs_pT":10,
"_vs_Mass":10,
}
titles={
'HLT_Effs/eff_HLT_HLT_Mu50_v1_vs_Nvtx':['HLT_Mu50_v1 efficiency','$N_{vtx}$','efficiency $\epsilon$'],
'HLT_Effs/eff_HLT_HLT_Mu50_v1_vs_pT(Mu)':['HLT_Mu50_v1 efficiency','$p_{T}^{\mu}\,(\mathrm{GeV})$','efficiency $\epsilon$'],
'RECO_Effs/eff_Ele_RECO_vs_Nvtx':['Electron reco efficiency','$N_{vtx}$','efficiency $\epsilon$'],
'RECO_Effs/eff_Ele_RECO_vs_pT':['Electron reco efficiency','$p_{T}^{e (gen)}\,(\mathrm{GeV})$','efficiency $\epsilon$'],
'RECO_Effs/eff_Muon_RECO_vs_Nvtx':['Muon reco efficiency','$N_{vtx}$','efficiency $\epsilon$'],
'RECO_Effs/eff_Muon_RECO_vs_pT':['Muon reco efficiency','$p_{T}^{\mu (gen)}\,(\mathrm{GeV})$','efficiency $\epsilon$'],
'ID_Effs/eff_Ele_ID_vs_Nvtx':['HEEP ID efficiency','$N_{vtx}$','efficiency $\epsilon$'],
'ID_Effs/eff_Ele_ID_vs_pT':['HEEP ID efficiency','$p_{T}^{e}\,(\mathrm{GeV})$','efficiency $\epsilon$'],
'ID_Effs/eff_Ele_ID_vs_pT_gen':['HEEP ID efficiency','$p_{T}^{e (gen)}\,(\mathrm{GeV})$','efficiency $\epsilon$'],
'ID_Effs/eff_Muon_ID_vs_Nvtx':['High p_T muon ID efficiency','$N_{vtx}$','efficiency $\epsilon$'],
'ID_Effs/eff_Muon_ID_vs_pT_gen':['High p_T muon ID efficiency','$p_{T}^{\mu (gen)}\,(\mathrm{GeV})$','efficiency $\epsilon$'],
'ID_Effs/eff_Muon_ID_vs_pT':['High p_T muon ID efficiency','$p_{T}^{\mu}\,(\mathrm{GeV})$','efficiency $\epsilon$'],
'emu/eff_emu_Acc_vs_Mass':['Acceptance','$M_{e\mu, gen}\,\,\mathrm{(GeV)}$','efficiency $\epsilon$'],
'emu/eff_emu_RECO_vs_Mass':['Trigger','$M_{e\mu, gen}\,\,\mathrm{(GeV)}$','efficiency $\epsilon$'],
'emu/eff_emu_Eff_vs_Mass':['Selection','$M_{e\mu, gen}\,\,\mathrm{(GeV)}$','efficiency $\epsilon$'],
'emu/eff_emu_Acc_vs_Nvtx':['Acceptance','$N_{vtx}$','efficiency $\epsilon$'],
'emu/eff_emu_RECO_vs_Nvtx':['Trigger','$N_{vtx}$','efficiency $\epsilon$'],
'emu/eff_emu_Eff_vs_Nvtx':['Selection','$N_{vtx}$','efficiency $\epsilon$'],
'emu/Stage_0/h1_0_emu_Mass_resolution':['Mass resolution','$M_{e\mu, gen}\,\,\mathrm{(GeV)}$','$\sigma((M_{e\mu, reco} - M_{e\mu, gen}) / M_{e\mu, gen})$'],
}
yranges={
'ID_Effs/eff_Muon_ID_vs_pT':[0.5,1.02],
'ID_Effs/eff_Muon_ID_vs_pT_gen':[0.5,1.02],
'ID_Effs/eff_Muon_ID_vs_pT_in_Acc':[0.5,1.02],
'ID_Effs/eff_Muon_ID_vs_pT_in_Acc_gen':[0.5,1.02],
'HLT_Effs/eff_HLT_HLT_Mu50_v1_vs_pT(Mu)':[0.6,1.02],
'ID_Effs/eff_Ele_ID_vs_pT':[0.7,1.02],
'ID_Effs/eff_Ele_ID_vs_pT_gen':[0.7,1.02],
'ID_Effs/eff_Ele_ID_vs_pT_in_Acc':[0.7,1.02],
'ID_Effs/eff_Ele_ID_vs_pT_in_Acc_gen':[0.7,1.02],
}
####################################################################
# Individual 1D plots
####################################################################
if False:
for hist in hists:
print("Now plotting: " + hist)
histlist = []
for item in bglist:
tfile = root_open(basedir + item + ".root", "READ")
t_eff = tfile.Get(hist)
binf = getDictValue(hist, binning)
if binf is not None:
t_eff = eff_rebinner(t_eff,binf)
i_titles = getDictValue(hist, titles)
t_eff = Graph(t_eff.CreateGraph())
t_eff.SetLineColor(colorList[item])
if i_titles is not None:
t_eff.SetTitle(i_titles[0])
else:
t_eff.SetTitle(item)
if 'Nvtx' in hist:
t_eff.xaxis.SetTitle('$N_{vtx}$')
if 'pT' in hist:
if i_titles is not None:
t_eff.xaxis.SetTitle(i_titles[1])
else:
t_eff.xaxis.SetTitle('$p_{T}$ (GeV)')
if i_titles is not None:
t_eff.yaxis.SetTitle(i_titles[2])
else:
t_eff.yaxis.SetTitle('$\epsilon$')
histlist.append(t_eff)
hist_style = sc.style_container(style = 'CMS', useRoot = False, kind = 'Graphs', cmsPositon = "upper left", legendPosition = 'lower middle', lumi = 0, cms = 13)
hist_style.Set_additional_text('Spring15 simulation')
hist_style.Set_legend_font_size(12)
test = plotter(hist = histlist,style=hist_style)
if hist in yranges.keys():
test.Set_axis(logy = False, grid = True, ymin=yranges[hist][0],ymax=yranges[hist][1])
else:
test.Set_axis(logy = False, grid = True)
test._cms_text_x = 0.12
test._cms_text_y = 0.91
name=hist.replace("/","")
test.make_plot('plots/%s.pdf'%(name))
####################################################################
# Combined 1D plots
####################################################################
if False:
skip_list = []
for hist in hists:
if hist in skip_list:
continue
print("Now plotting: " + hist)
histlist = []
c_histo = r.TEfficiency()
for item in bglist:
tfile = root_open(basedir + item + ".root", "READ")
t_eff = tfile.Get(hist)
if len(histlist) == 0:
c_histo = t_eff
else:
c_histo.Add(t_eff)
histlist.append(t_eff)
binf = getDictValue(hist, binning)
if binf is not None:
c_histo = eff_rebinner(c_histo,binf)
i_titles = getDictValue(hist, titles)
c_histo = Graph(c_histo.CreateGraph())
c_histo.SetLineColor('deepskyblue')
if i_titles is not None:
# c_histo.SetTitle(i_titles[0] + ' in Acceptance')
c_histo.SetTitle(i_titles[0] + ' ')
else:
c_histo.SetTitle(hist)
if 'Nvtx' in hist:
c_histo.xaxis.SetTitle('$N_{vtx}$')
if 'pT' in hist:
if i_titles is not None:
c_histo.xaxis.SetTitle(i_titles[1])
else:
c_histo.xaxis.SetTitle('$p_{T}$ (GeV)')
if i_titles is not None:
c_histo.yaxis.SetTitle(i_titles[2])
else:
c_histo.yaxis.SetTitle('$\epsilon$')
plots = [c_histo]
if hist + '_in_Acc' in hists:
skip_list.append(hist + '_in_Acc')
histlist1 = []
c_histo1 = r.TEfficiency()
for item in bglist:
tfile = root_open(basedir + item + ".root", "READ")
t_eff = tfile.Get(hist + '_in_Acc')
if len(histlist1) == 0:
c_histo1 = t_eff
else:
c_histo1.Add(t_eff)
histlist1.append(t_eff)
binf = getDictValue(hist, binning)
if binf is not None:
c_histo1 = eff_rebinner(c_histo1,binf)
c_histo1 = Graph(c_histo1.CreateGraph())
c_histo1.SetLineColor('darkgreen')
if i_titles is not None:
c_histo1.SetTitle(i_titles[0] + ' in Acceptance')
else:
c_histo1.SetTitle(hist + '_in_Acc')
plots.append(c_histo1)
if hist[:-4] + '_in_Acc_gen' in hists and '_gen' in hist:
skip_list.append(hist[:-4] + '_in_Acc_gen')
histlist2 = []
c_histo2 = r.TEfficiency()
for item in bglist:
tfile = root_open(basedir + item + ".root", "READ")
t_eff = tfile.Get(hist[:-4] + '_in_Acc_gen')
if len(histlist2) == 0:
c_histo2 = t_eff
else:
c_histo2.Add(t_eff)
histlist2.append(t_eff)
binf = getDictValue(hist, binning)
if binf is not None:
c_histo2 = eff_rebinner(c_histo2,binf)
c_histo2 = Graph(c_histo2.CreateGraph())
c_histo2.SetLineColor('darkgreen')
if i_titles is not None:
c_histo2.SetTitle(i_titles[0] + ' in Acceptance')
else:
c_histo2.SetTitle(hist[:-4] + '_in_Acc_gen')
plots.append(c_histo2)
hist_style = sc.style_container(style = 'CMS', useRoot = False, kind = 'Graphs', cmsPositon = "upper left", legendPosition = 'lower middle', lumi = 0, cms = 13)
hist_style.Set_additional_text('Spring15 simulation')
hist_style.Set_legend_font_size(12)
test = plotter(hist = plots, style = hist_style)
if hist in yranges.keys():
test.Set_axis(logy = False, grid = True, ymin=yranges[hist][0],ymax=yranges[hist][1])
else:
test.Set_axis(logy = False, grid = True)
test._cms_text_x = 0.12
test._cms_text_y = 0.91
name=hist.replace("/","")
test.make_plot('plots/%s.pdf'%(name))
####################################################################
# Combined 1D plots for overall efficiencies
####################################################################
if True:
for hist in overall_hists:
print("Now plotting: " + hist[0])
hists_to_plot = []
for i_hist in hist:
histlist = []
c_histo = r.TEfficiency()
for item in bglist:
tfile = root_open(basedir + item + ".root", "READ")
t_eff = tfile.Get(i_hist)
if len(histlist) == 0:
c_histo = t_eff
else:
c_histo.Add(t_eff)
histlist.append(t_eff)
binf = getDictValue(i_hist, binning)
if binf is not None:
c_histo = eff_rebinner(c_histo,binf)
i_titles = getDictValue(i_hist, titles)
c_histo = Graph(c_histo.CreateGraph())
c_histo.SetLineColor(eff_colorList[i_hist])
if i_titles is not None:
c_histo.SetTitle(i_titles[0])
else:
c_histo.SetTitle(i_hist)
if 'Nvtx' in i_hist:
c_histo.xaxis.SetTitle('$N_{vtx}$')
if 'Mass' in i_hist:
if i_titles is not None:
c_histo.xaxis.SetTitle(i_titles[1])
else:
c_histo.xaxis.SetTitle('$M$ (GeV)')
if i_titles is not None:
c_histo.yaxis.SetTitle(i_titles[2])
else:
c_histo.yaxis.SetTitle('$\epsilon$')
hists_to_plot.append(c_histo)
hist_style = sc.style_container(style = 'CMS', useRoot = False, kind = 'Graphs', cmsPositon = "upper left", legendPosition = 'lower middle', lumi = 0, cms = 13)
hist_style.Set_additional_text('Spring15 simulation')
hist_style.Set_legend_font_size(12)
test = plotter(hist = hists_to_plot, style = hist_style)
if hist in yranges.keys():
test.Set_axis(logy = False, grid = True, ymin=yranges[hist][0],ymax=yranges[hist][1])
else:
test.Set_axis(logy = False, grid = True)
test._cms_text_x = 0.12
test._cms_text_y = 0.91
name=hist[0].replace("/","")
test.create_plot()
if 'Mass' in hist[0]:
plot_efficiency_fit(test.Get_axis1(), hists_to_plot[-1], xmin = 0, xmax = 6000, startvals = [0.78, -96, -85, -1.9e-5], plottrange = [100,6000])
test.SavePlot('plots/%s.pdf'%(name))
####################################################################
# Individual 2D plots
####################################################################
if False:
for hist in hists2D:
print("Now plotting: " + hist)
histlist = []
for item in bglist:
tfile = root_open(basedir + item + ".root", "READ")
t_eff = tfile.Get(hist).CreateHistogram()
# t_eff.SetLineColor(colorList[item])
t_eff.SetTitle(item)
# t_eff.xaxis.SetTitle(t_eff.GetXaxis().GetTitle())
# t_eff.yaxis.SetTitle(t_eff.GetYaxis().GetTitle())
histlist.append(t_eff)
hist_style = sc.style_container(style = 'CMS', useRoot = False, kind = 'Standard', cmsPositon = "outside left", legendPosition = 'lower middle', lumi = 0, cms = 13)
hist_style.Set_additional_text('Spring15 simulation')
test = plotter2D(hist = t_eff, style = hist_style)
# test.Set_axis(xmin = -2.5, xmax = 2.5, ymin = 0, ymax = 3.1, zmin = 0, zmax = 1)
name=hist.replace("/","")
test.create_plot()
test.save_plot('plots/%s_%s.pdf'%(item,name))
####################################################################
# Combined 2D plots
####################################################################
if False:
for hist in hists2D:
print("Now plotting: " + hist)
histlist = []
c_histo = r.TEfficiency()
for item in bglist:
tfile = root_open(basedir + item + ".root", "READ")
t_eff = tfile.Get(hist)
if len(histlist) == 0:
c_histo = t_eff
else:
c_histo.Add(t_eff)
histlist.append(t_eff)
c_histo = c_histo.CreateHistogram()
c_histo.SetTitle(hist)
hist_style = sc.style_container(style = 'CMS', useRoot = False, kind = 'Standard', cmsPositon = "outside left", legendPosition = 'lower middle', lumi = 0, cms = 13)
hist_style.Set_additional_text('Spring15 simulation')
test = plotter2D(hist = c_histo, style = hist_style)
# test.Set_axis(xmin = -2.5, xmax = 2.5, ymin = 0, ymax = 3.1, zmin = 0, zmax = 1)
name=hist.replace("/","")
test.create_plot()
test.save_plot('plots/%s.pdf'%(name))
####################################################################
# Resolution plot
####################################################################
if False:
for hist in res_histos:
print("Now plotting: " + hist)
histlist = []
c_histo = r.TH2F()
for item in bglist:
tfile = root_open(basedir + item + ".root", "READ")
t_eff = tfile.Get(hist)
if len(histlist) == 0:
c_histo = t_eff
else:
c_histo.Add(t_eff)
histlist.append(t_eff)
c_histo.SetTitle(hist)
hist_style = sc.style_container(style = 'CMS', useRoot = False, kind = 'Standard', cmsPositon = "outside left", legendPosition = 'lower middle', lumi = 0, cms = 13)
hist_style.Set_additional_text('Spring15 simulation')
test = plotter2D(hist = c_histo, style = hist_style)
# test.Add_x_projection()
# test.Add_y_projection()
test.Set_axis(ymin = -0.5, ymax = 0.5)
name=hist.replace("/","")
test.create_plot()
test.save_plot('plots/%s.pdf'%(name))
####################################################################
# Individual resolution plots
####################################################################
if True:
for hist in res_histos1D:
print("Now plotting: " + hist)
x_vals =[]
y_vals = []
y_errs = []
for item in bglist:
if 'LLE_LQD-001' not in item:
continue
tfile = root_open(basedir + item + ".root", "READ")
t_eff = tfile.Get(hist)
t_eff.xaxis.SetTitle('$'+t_eff.xaxis.GetTitle()+'$')
t_eff.yaxis.SetTitle('Events / %.2f'%t_eff.GetBinWidth(1))
hist_style = sc.style_container(style = 'CMS', useRoot = False, kind = 'Graphs', cmsPositon = "upper left", legendPosition = 'lower left', lumi = 0, cms = 13)
hist_style.Set_additional_text('Spring15 simulation')
test = plotter(hist = [t_eff],style=hist_style)
name=item.replace("/","")
test.Set_axis(logy = True, grid = True, xmin = -1.01, xmax = 1.01, ymin = 0.9, ymax = 4000)
test.create_plot()
plot_gauss_fit(test.Get_axis1(), t_eff, color = 'red', write_results = True)
test.SavePlot('plots/%s.pdf'%(name))
fit_res = t_eff.Fit('gaus', 'N0S', '')
y_vals.append(fit_res.Parameter(2))
y_errs.append(fit_res.ParError(2))
parts = item.split('_')
for part in parts:
if 'M-'in part:
x_vals.append(int(part[2:]))
x_vals = np.array(x_vals)
y_vals = np.array(y_vals)
y_errs = np.array(y_errs)
graph = Graph(x_vals.shape[0])
for i, (xx, yy, ye) in enumerate(zip(x_vals, y_vals, y_errs)):
graph.SetPoint(i, xx, yy)
graph.SetPointError(i, 0, 0, ye, ye)
i_titles = getDictValue(hist, titles)
if i_titles is not None:
graph.SetTitle(i_titles[0])
graph.xaxis.SetTitle(i_titles[1])
graph.yaxis.SetTitle(i_titles[2])
graph.SetLineColor('red')
hist_style = sc.style_container(style = 'CMS', useRoot = False, kind = 'Graphs', cmsPositon = "upper left", legendPosition = 'lower left', lumi = 0, cms = 13)
hist_style.Set_additional_text('Spring15 simulation')
test = plotter(hist = [graph],style=hist_style)
name=hist.replace("/","")
test.Set_axis(logy = False, grid = True, xmin = 0, xmax = 6500)
test.create_plot()
func = plot_resolution_fit(test.Get_axis1(), graph, xmin = 0, xmax = 6000, startvals = [], plottrange = [], color = 'black')
test.SavePlot('plots/%s.pdf'%(name))
graph.SaveAs('plots/%s.root'%(name))
func.SaveAs('plots/%s_func.root'%(name))
return 42
main()