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get_mvpt_weights_dR.py
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get_mvpt_weights_dR.py
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import ROOT
import numpy as np
np.random.seed(0)
import glob, os
import argparse
parser = argparse.ArgumentParser(description='Process some integers.')
parser.add_argument('-d', '--genDR', default=10, type=int, help='gen-level dR.')
parser.add_argument('-p', '--p_drop', default=1., type=float, help='p(drop) scale.')
args = parser.parse_args()
genDR = args.genDR
p_drop_scale = args.p_drop
xrootd='root://cmsxrootd.fnal.gov' # FNAL
#xrootd='root://eoscms.cern.ch' # CERN
eosDir='/eos/uscms/store/user/lpcml/mandrews/IMG'
#pu = 'noPU'
#pu = '2016_25ns_Moriond17MC_PoissonOOTPU'
#decay = 'DoublePi0Pt15To100_m0To1600_pythia8_%s_mlog_ptexp'%pu
#decay = '%s_genDR%d_recoDR16_seedPos_phoVars_IMG'%(decay, genDR)
#date_str = '190310_173649' # DR10
pu = 'PU2017'
decay = 'DoublePi0Pt10To100_m0To1600_pythia8_PU2017_MINIAODSIM_ext2'
date_str = '190522_041152'
# Paths to input files
rhFileList = '%s/%s/%s/*/output_*.root'%(eosDir, decay, date_str)
print(" >> Input file list: %s"%rhFileList)
rhFileList = glob.glob(rhFileList)
assert len(rhFileList) > 0
print(" >> %d files found"%len(rhFileList))
rhFileList = [('%s/%s'%(xrootd, rhFile)).replace('/eos/uscms','') for rhFile in rhFileList]
print(' >> Input File[0]: %s'%rhFileList[0])
rhTree = ROOT.TChain("fevt/RHTree")
for f in rhFileList:
rhTree.Add(f)
nEvts = rhTree.GetEntries()
#rhTree.SetBranchStatus("EB_*", 0)
#rhTree.SetBranchStatus("SC_energy*", 0)
#rhTree.SetBranchStatus("SC_time", 0)
assert nEvts > 0
print " >> nEvts:",nEvts
def get_weight_2d(m0, pt, m0_edges, pt_edges, wgts):
idx_m0 = np.argmax(m0 <= m0_edges)-1
idx_pt = np.argmax(pt <= pt_edges)-1
#print(idx_m0, idx_pt)
return wgts[idx_m0, idx_pt]
##### EVENT SELECTION START #####
nPasses = 2
# Event range to process
iEvtStart = 0
iEvtEnd = 50000
iEvtEnd = nEvts
assert iEvtEnd <= nEvts
print " >> Processing entries: [",iEvtStart,"->",iEvtEnd,")"
eb_xtal = 0.0174
sw = ROOT.TStopwatch()
sw.Start()
d = {}
hmvpts, m_edgess, pt_edgess = {}, {}, {}
for p in range(nPasses):
print " >> Pass:", p
nAcc = 0
sc_mass_, sc_pT_, sc_dR_ = [], [], []
hnPho = ROOT.TH2F("hnPho%d"%p, "hnPho;m_{#pi^{0}};p_{T,#pi^{0}}", 16, 0, 1.6 , 20, 20., 100.)
for iEvt in range(iEvtStart,iEvtEnd):
rhTree.GetEntry(iEvt)
if iEvt % 10000 == 0:
print " .. Processing entry",iEvt
#d['pho_pt'] = list(rhTree.pho_pT)
#d['pho_r9'] = list(rhTree.pho_r9)
#d['pho_sieie'] = list(rhTree.pho_sieie)
#d['pho_phoIso'] = list(rhTree.pho_phoIso)
#d['pho_ecalIsoCorr'] = list(rhTree.pho_ecalIsoCorr)
#d['pho_trkIso'] = list(rhTree.pho_trkIso)
#d['pho_HoE'] = list(rhTree.pho_HoE)
#d['pho_hasPxlSeed'] = list(rhTree.pho_hasPxlSeed)
d['SC_mass'] = list(rhTree.SC_mass)
d['SC_pT'] = list(rhTree.SC_pT)
d['SC_dR'] = list(rhTree.SC_DR)
nPhoEvt = len(d['SC_mass'])
if p > 0:
rands = np.random.random(nPhoEvt)
for i in range(nPhoEvt):
if d['SC_pT'][i] < 20.: continue
if d['SC_dR'][i]/0.0174 > 10.: continue
#if d['pho_r9'][i] <= 0.5: continue
#if d['pho_HoE'][i] >= 0.08: continue
#if d['pho_r9'][i] <= 0.85:
# if d['pho_sieie'][i] >= 0.015: continue
# if d['pho_phoIso'][i] >= 4.: continue
# if d['pho_trkIso'][i] >= 6.: continue
#if d['pho_hasPxlSeed'][i] == True: continue
sc_mass = d['SC_mass'][i]
sc_pT = d['SC_pT'][i]
sc_dR = d['SC_dR'][i]
if p > 0:
keepEG = True
for p_ in range(p):
if rands[i] < get_weight_2d(sc_mass, sc_pT, m_edgess[p_], pt_edgess[p_], hmvpts[p_]):
keepEG = False
if keepEG == False: continue
hnPho.Fill(sc_mass, sc_pT)
nAcc += 1
sc_mass_.append(sc_mass)
sc_pT_.append(sc_pT)
sc_dR_.append(sc_dR)
sw.Stop()
print " >> Real time:",sw.RealTime()/60.,"minutes"
print " >> CPU time: ",sw.CpuTime() /60.,"minutes"
print " >> nPi0s: ", nAcc
sc_mass_ = np.array(sc_mass_)
sc_pT_ = np.array(sc_pT_)
sc_dR_ = np.array(sc_dR_)
hmvpt, m_edges, pt_edges = np.histogram2d(sc_mass_, sc_pT_, range=((0., 1.6), (20.,100.)), bins=(16, 20))
hmvpt = hmvpt/hmvpt.max()
floor = np.mean(hmvpt.flatten()) - 2.*np.std(hmvpt.flatten())
if floor < 0.:
print " >> Forcing floor to %f -> 0."%floor
floor = 0.
print " >> w(m_v_pt) min, floor:",hmvpt.min(),floor
hmvpt[hmvpt < floor] = floor
hmvpt = hmvpt/hmvpt.max()
hmvpt = hmvpt-hmvpt.min()
print " >> p(drop) scale:",p_drop_scale
hmvpt = p_drop_scale*hmvpt
print " >> w(m_v_pt)*p(drop) min, max:",hmvpt.min(), hmvpt.max()
wgt_file = 'WEIGHTS/%s_mvpt_weights_pdrop%.2f_pass%d.npz'%(decay, p_drop_scale, p)
np.savez(wgt_file,\
mvpt = hmvpt,
m_edges = m_edges,
pt_edges = pt_edges,
sc_mass = sc_mass_,
sc_pT = sc_pT_,
sc_dR = sc_dR_
)
w = np.load(wgt_file)
hmvpts[p], m_edgess[p], pt_edgess[p] = w['mvpt'], w['m_edges'], w['pt_edges']
#cnPhow = ROOT.TCanvas("cnPhow%d"%p, "cnPhow%d"%p, 600, 600)
#hnPho.Draw("COL Z")
hnPhow = ROOT.TH2F("hnPhow", "hnPhow;m_{#pi^{0}};p_{T,#pi^{0}}", 16, 0, 1.6 , 20, 20., 100.)
nAcc = 0
for iEvt in range(iEvtStart,iEvtEnd):
rhTree.GetEntry(iEvt)
if iEvt % 10000 == 0:
print " .. Processing entry",iEvt
#d['pho_pt'] = list(rhTree.pho_pT)
#d['pho_r9'] = list(rhTree.pho_r9)
#d['pho_sieie'] = list(rhTree.pho_sieie)
#d['pho_phoIso'] = list(rhTree.pho_phoIso)
#d['pho_ecalIsoCorr'] = list(rhTree.pho_ecalIsoCorr)
#d['pho_trkIso'] = list(rhTree.pho_trkIso)
#d['pho_HoE'] = list(rhTree.pho_HoE)
#d['pho_hasPxlSeed'] = list(rhTree.pho_hasPxlSeed)
d['SC_mass'] = list(rhTree.SC_mass)
d['SC_pT'] = list(rhTree.SC_pT)
d['SC_dR'] = list(rhTree.SC_DR)
nPhoEvt = len(d['SC_mass'])
#rands = np.random.random(nPhoEvt)
rands = np.random.random((nPhoEvt, nPasses))
for i in range(nPhoEvt):
if d['SC_pT'][i] < 20.: continue
if d['SC_dR'][i]/0.0174 > 10.: continue
#if d['pho_r9'][i] <= 0.5: continue
#if d['pho_HoE'][i] >= 0.08: continue
#if d['pho_r9'][i] <= 0.85:
# if d['pho_sieie'][i] >= 0.015: continue
# if d['pho_phoIso'][i] >= 4.: continue
# if d['pho_trkIso'][i] >= 6.: continue
#if d['pho_hasPxlSeed'][i] == True: continue
sc_mass = d['SC_mass'][i]
sc_pT = d['SC_pT'][i]
#sc_dR = d['SC_dR'][i]
keepEG = True
for p in range(nPasses):
if rands[i,p] < get_weight_2d(sc_mass, sc_pT, m_edgess[p], pt_edgess[p], hmvpts[p]):
keepEG = False
#if rands[i] < get_weight_2d(sc_mass, sc_pT, m_edges, pt_edges, hmvpt):
# continue
if keepEG == False: continue
hnPhow.Fill(sc_mass, sc_pT)
nAcc += 1
print " >> nPi0s: ", nAcc
#cnPhow = ROOT.TCanvas("cnPhow", "cnPhow", 600, 600)
#hnPhow.Draw("COL Z")
hFile = ROOT.TFile("WEIGHTS/%s_hnPho_pdrop%.2f_passes%d.root"%(decay, p_drop_scale, nPasses),"RECREATE")
hnPho.SetMinimum(0.)
hnPho.Write()
hnPhoX = hnPho.ProjectionX()
hnPhoX.GetYaxis().SetRangeUser(0., 1.2*hnPhoX.GetMaximum())
hnPhoX.Write()
hnPhoY = hnPho.ProjectionY()
hnPhoY.GetYaxis().SetRangeUser(0., 1.2*hnPhoY.GetMaximum())
hnPhoY.Write()
hnPhow.SetMinimum(0.)
hnPhow.Write()
hnPhowX = hnPhow.ProjectionX()
hnPhowX.GetYaxis().SetRangeUser(0., 1.2*hnPhowX.GetMaximum())
hnPhowX.Write()
hnPhowY = hnPhow.ProjectionY()
hnPhowY.GetYaxis().SetRangeUser(0., 1.2*hnPhowY.GetMaximum())
hnPhowY.Write()
hFile.Close()