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pAnalyzeGRB_csv.py
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pAnalyzeGRB_csv.py
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#!/usr/bin/env python
import sys
import ROOT
ROOT.gROOT.SetBatch()
from ROOT import TTree, TChain
import numpy as np
import yaml
#import xml.etree.ElementTree as ET
import datetime
#sys.path.append("/disk/gamma/cta/store/takhsm/FermiMVA/AllSky")
#sys.path.append("/home/takhsm/FermiMVA/python")
from array import array
import math
from math import cos, sin, tan, acos, asin, atan, radians, degrees
import pandas
from pMETandMJD import *
from pColor import *
ROOT.gStyle.SetPadGridX(True)
ROOT.gStyle.SetPadGridY(True)
ROOT.gStyle.SetPadTickX(True)
ROOT.gStyle.SetPadTickY(True)
#from pCutBDT import cutBDT
from pAnalysisConfig import *
# ----- Event class setup -----
par = sys.argv
cfg = ClassConfig('Both', [10, 3, 1], 1)
aCutEGB = cfg.aCutEGB
aaStrSelect = cfg.aaStrSelect
nStartBin = cfg.nStartBin
nameFileRoc = "/nfs/farm/g/glast/u/mtakahas/v20r09p09_G1haB1/S16/S16V200909_020RAWE20ZDIR010ZCS000wwoTRKwoMCZDIR00woRWcatTwoZDIR050_15/S16V200909_020RAWE20ZCS000wwoTRKwoMCZDIR00woRW_15_S11D_catTwoZDIR050Log_roc.root" #par[2]
nameVarBDT = "S16V200909_020RAWE20ZDIR010ZCS000wwoTRKwoMCZDIR00woRWcatTwoZDIR050_15_BDTG1000D06"
#nameVarBDT = par[1]
nameFileSuffix = par[1]
cutMVA = CutBDT(nameFileRoc, aCutEGB)
aaValCutBDT = cutMVA.aaValCutBDT[0:]
print aaValCutBDT
nEnergyBin = cutMVA.aaValCutBDT[0]['numBin'] - nStartBin
vEnergyBinWidth = cutMVA.aaValCutBDT[0]['widthBin']
vEnergyLow = cutMVA.aaValCutBDT[0]['edgeLow'] + nStartBin*vEnergyBinWidth
vEnergyUp = vEnergyLow + nEnergyBin*vEnergyBinWidth
aaNumEventClass=[]
#aColor = []
for hS in range(len(aaStrSelect)):
aaNumEventClass.append([])
for iS in range(len(aaStrSelect[hS])):
aaNumEventClass[hS].append(0)
#IRF
listPathFilePerf = [['/nfs/farm/g/glast/u/mtakahas/v20r09p09_G1haB1/S16/S16V200909_020RAWE20ZDIR010ZCS000wwoTRKwoMCZDIR00woRWcatTwoZDIR050_15/S16V200909_020RAWE20ZDIR010ZCS000wwoTRKwoMCZDIR00woRWcatTwoZDIR050_15_P8R2_TRANSIENT100_P8R2_TRANSIENT100_perf.root', '/nfs/farm/g/glast/u/mtakahas/v20r09p09_G1haB1/S16/S16V200909_020RAWE20ZDIR010ZCS000wwoTRKwoMCZDIR00woRWcatTwoZDIR050_15/S16V200909_020RAWE20ZDIR010ZCS000wwoTRKwoMCZDIR00woRWcatTwoZDIR050_15_P8R2_SOURCE_P8R2_SOURCE_perf.root'],
['/nfs/farm/g/glast/u/mtakahas/v20r09p09_G1haB1/S16/S16V200909_020RAWE20ZDIR010ZCS000wwoTRKwoMCZDIR00woRWcatTwoZDIR050_15/S16V200909_020RAWE20ZDIR010ZCS000wwoTRKwoMCZDIR00woRWcatTwoZDIR050_15_CalOnly_R100_perf.root', '/nfs/farm/g/glast/u/mtakahas/v20r09p09_G1haB1/S16/S16V200909_020RAWE20ZDIR010ZCS000wwoTRKwoMCZDIR00woRWcatTwoZDIR050_15/S16V200909_020RAWE20ZDIR010ZCS000wwoTRKwoMCZDIR00woRWcatTwoZDIR050_15_CalOnly_R30_perf.root', '/nfs/farm/g/glast/u/mtakahas/v20r09p09_G1haB1/S16/S16V200909_020RAWE20ZDIR010ZCS000wwoTRKwoMCZDIR00woRWcatTwoZDIR050_15/S16V200909_020RAWE20ZDIR010ZCS000wwoTRKwoMCZDIR00woRWcatTwoZDIR050_15_CalOnly_R10_perf.root']]
htgPerf = CutPerformanceHtg(listPathFilePerf)
# Data
pathList = "/nfs/farm/g/glast/u/mtakahas/data/lists/GBMcatalogue_FluenceLt1Micro_20160514.csv"
csv = pandas.read_csv(pathList)
num_lines = sum(1 for line in open(pathList))
#fileList = ET.parse(pathList)
#rtXml = fileList.getroot()
# OFF regions
nOff = 0 #4;
degOffOffset = 14.0
print "===================="
# Making all sky map
listFileIn = par[2:]
print listFileIn
aliasSelections = yaml.load(open('/afs/slac.stanford.edu/u/gl/mtakahas/eventSelect/config/pass8_event_selections.yaml','r'))
cEvent = ROOT.TCanvas("cEvent", "Gamma-like events")
cZenith = ROOT.TCanvas("cZenith", "Zenith angle of ON/OFF events")
for nameFileIn in listFileIn:
cEvent.Clear()
cZenith.Clear()
print ""
#print "========================================================================"
fileIn = ROOT.TFile(nameFileIn, "READ")
#print fileIn.GetName()
#print "========================================================================"
chainData = fileIn.Get("MeritTuple")
if chainData == None:
print "No events."
continue
nameFileFriend = nameFileIn.replace(".root", "_" + nameVarBDT + ".root")
chainData.AddFriend("friendTemp=MeritTuple", nameFileFriend)
for k,v in aliasSelections.iteritems():
chainData.SetAlias(k,v)
nameFileOut = nameFileIn[:-5] + "_PHOTON_" + nameVarBDT + nameFileSuffix + ".root"
fileOut = ROOT.TFile(nameFileOut, 'UPDATE')
#------ Source data -----
indexGrbName = nameFileIn.rindex('GRB') + 3
indexGrbNameEnd = indexGrbName + 9
nameGrb = nameFileIn[indexGrbName:indexGrbNameEnd]
for iGrb in range(num_lines-1):
if int(nameGrb) == int(csv.ix[iGrb,'name']): #grb.findtext("./GRBNAME")==nameGrb:
raSrc = float(csv.ix[iGrb,'ra'])
decSrc = float(csv.ix[iGrb,'dec'])
trigger_time = ConvertMjdToMet(float(csv.ix[iGrb,'trigger_time']))
# if grb.findtext("./ERROR") == "--" or grb.findtext("./ERROR") == "":
# err_rad = 0.
# else:
# print grb.findtext("./ERROR")
err_rad = float(csv.ix[iGrb,'error_radius'])
print ""
print "==============="
print "GRB", nameGrb
print "==============="
print "(", raSrc, ",", decSrc, "), Error radius:", err_rad, "Trigger MET:", trigger_time
nEvent = chainData.GetEntries()
print "Total number of events:", nEvent
#distCut = min(7.0, 5.0+err_rad)
# Plot
#mgr = ROOT.TMultiGraph("mgr", "Gamma-like events within {0} deg".format(distCut))
mgr = ROOT.TMultiGraph("mgr", "Gamma-like events around the GRB")
greOn = []
greOff=[]
for pC in range(len(aaStrSelect)):
greOn.append([])
greOff.append([])
for qC in range(len(aaStrSelect[pC])):
greOn[-1].append(ROOT.TGraphErrors())
greOn[-1][-1].SetName("greOn_{0}_{1}".format(pC, qC))
greOn[-1][-1].SetTitle("{0} ON".format(aaStrSelect[pC][qC]))
greOn[-1][-1].SetMarkerStyle(20)
if pC==0:
greOn[-1][-1].SetMarkerColor(13-12*qC)
elif pC==1:
greOn[-1][-1].SetMarkerColor(kRed+3*(qC-2))
greOn[-1][-1].SetMarkerStyle(20)
mgr.Add(greOn[-1][-1])
greOff[-1].append([])
for hRegio in range(nOff):
greOff[-1][-1].append(ROOT.TGraphErrors())
greOff[-1][-1][-1].SetName("greOff_{0}_{1}_{2}".format(pC, qC, hRegio+1))
greOff[-1][-1][-1].SetTitle("{0} Off{1} events".format(aaStrSelect[pC][qC], hRegio+1))
if pC==0:
greOff[-1][-1][-1].SetMarkerColor(13-12*qC)
elif pC==1:
greOff[-1][-1][-1].SetMarkerColor(kRed+3*(qC-2))
greOff[-1][-1][-1].SetMarkerStyle(25+hRegio)
mgr.Add(greOff[-1][-1][-1])
mgrZenith = ROOT.TMultiGraph("mgrZenith", "Zenith angle within ON/OFF regions")
grZenith = []
for gRegio in range(nOff+1):
grZenith.append(ROOT.TGraph())
grZenith[-1].SetName("grZenith{0}".format(gRegio))
if gRegio==0:
grZenith[0].SetTitle("ON")
else:
grZenith[gRegio].SetTitle("OFF{0}".format(gRegio))
grZenith[gRegio].SetMarkerStyle(7)
grZenith[gRegio].SetMarkerColor(akColor(gRegio))
mgrZenith.Add(grZenith[-1])
#------ TTree setting -----
trm = []
c = np.zeros(1, dtype=np.int32)
s = np.zeros(1, dtype=np.int32)
ty = np.zeros(1, dtype=np.int32)
ngrb = np.zeros(1, dtype=int)
evid = np.zeros(1, dtype=int)
run = np.zeros(1, dtype=int)
e = np.zeros(1, dtype=float)
t = np.zeros(1, dtype=float)
lt = np.zeros(1, dtype=float)
ra = np.zeros(1, dtype=float)
dec = np.zeros(1, dtype=float)
l = np.zeros(1, dtype=float)
b = np.zeros(1, dtype=float)
z = np.zeros(1, dtype=float)
az = np.zeros(1, dtype=float)
bep = np.zeros(1, dtype=float)
p = np.zeros(1, dtype=float)
ctp = np.zeros(1, dtype=float)
rawe = np.zeros(1, dtype=float)
cth = np.zeros(1, dtype=float)
th = np.zeros(1, dtype=float)
phi = np.zeros(1, dtype=float)
dist = np.zeros(1, dtype=float)
grbt = np.zeros(1, dtype=float)
flag = np.zeros(1, dtype=int)
# for iRegio in range(1+nOff):
#if iRegio==0:
#trm.append(ROOT.TTree("trGammas", "Gamma-like events"))
trm = ROOT.TTree("trGammas", "Gamma-like events")
#else:
# trm.append(ROOT.TTree("trGammasOFF{0}".format(iRegio), "Gamma-like events in the OFF region {0}".format(iRegio)))
trm.Branch('Category',c,'c/I') # 1:CalTkr or 2:CalOnly
trm.Branch('EVENT_CLASS',s,'s/I') # 4: TRANSIENT100, 128: SOURCE, 4096: CalOnly_10xEGB, 8192: CalOnly_3xEGB, 16384: CalOnly_1xEGB
trm.Branch('EVENT_TYPE',ty,'ty/I') # 1: FRONT, 2: BACK, 4, PSF0, ... , 32: PSF3, 64: EDISP0, ... , 512: EDISP3
trm.Branch('GRB_NAME',ngrb,'ngrb/I') #EvtEventId
trm.Branch('EVENT_ID',evid,'evid/I') #EvtEventId
trm.Branch('RUN_ID',run,'run/I') #EvtRun
trm.Branch('ENERGY',e,'e/D') #FT1Energy
trm.Branch('TIME',t,'t/D') #EvtElapsedTime
trm.Branch('LIVETIME',lt,'lt/D') #EvtLiveTime
trm.Branch('RA',ra,'ra/D') #FT1Ra
trm.Branch('DEC',dec,'dec/D') #FT1Dec
trm.Branch('L',l,'l/D') #FT1L
trm.Branch('B',b,'b/D') #FT1B
trm.Branch('ZENITH_ANGLE',z,'z/D') #FT1ZenithTheta
trm.Branch('EARTH_AZIMUTH_ANGLE',az,'az/D') #FT1EarthAzimuth
trm.Branch('WP8CTCalOnlyBestEnergyProb',bep,'bep/D') # (WP8CalOnlyBEPCaseE_myBDT+1.0)/2.0
trm.Branch('WP8CTCalOnlyProb',p,'p/D') # (S16V200909_020RAWE20ZDIR010ZCS000wwoTRKwoMCZDIR00woRWcatTwoZDIR050_15_BDTG1000D06+1.0)/2.0
trm.Branch('WP8CTAllProb',ctp,'ctp/D') #WP8CTAllProb
trm.Branch('CalEnergyRaw',rawe,'rawe/D') #CalEnergyRaw
trm.Branch('CosTHETA',cth,'cth/D') #
trm.Branch('THETA',th,'th/D') # FT1Theta or -Cal1MomZDir
trm.Branch('PHI',phi,'phi/D') # FT1Phi or Cal1MomYDir/Cal1MomXDir
trm.Branch('DIST',dist,'dist/D')
trm.Branch('GRB_TIME',grbt,'grbt/D')
trm.Branch('FLAG',flag,'flag/I') #flag for this GRB, 0: On, 1,2,3,4,...: Off, -1: Other
timeStart = datetime.datetime.now()
#print timeStart
vecTgt = []
vecTgt.append(np.array([cos(radians(decSrc))*cos(radians(raSrc)), cos(radians(decSrc))*sin(radians(raSrc)), sin(radians(decSrc))]))
vecTgt.append(np.array([cos(radians(decSrc-degOffOffset))*cos(radians(raSrc)), cos(radians(decSrc-degOffOffset))*sin(radians(raSrc)), sin(radians(decSrc-degOffOffset))]))
vecTgt.append(np.array([cos(radians(decSrc))*cos(radians(raSrc-degOffOffset/cos(radians(decSrc)))), cos(radians(decSrc))*sin(radians(raSrc-degOffOffset/cos(radians(decSrc)))), sin(radians(decSrc))]))
vecTgt.append(np.array([cos(radians(decSrc+degOffOffset))*cos(radians(raSrc)), cos(radians(decSrc+degOffOffset))*sin(radians(raSrc)), sin(radians(decSrc+degOffOffset))]))
vecTgt.append(np.array([cos(radians(decSrc))*cos(radians(raSrc+degOffOffset/cos(radians(decSrc)))), cos(radians(decSrc))*sin(radians(raSrc+degOffOffset/cos(radians(decSrc)))), sin(radians(decSrc))]))
for iEvent in range(nEvent):
chainData.GetEntry(iEvent)
flag[0] = -1;
e[0] = chainData.EvtJointLogEnergy
rawe[0] = chainData.CalEnergyRaw
c[0] = 0
s[0] = 0
ty[0] = 0
ngrb[0] = float(nameGrb)
evid[0] = chainData.EvtEventId
run[0] = chainData.EvtRun
t[0] = chainData.EvtElapsedTime
grbt[0] = t[0] - trigger_time
lt[0] = chainData.EvtLiveTime
bep[0] = (chainData.WP8CalOnlyBEPCaseE_myBDT+1.0)/2.0
p[0] = (chainData.S16V200909_020RAWE20ZDIR010ZCS000wwoTRKwoMCZDIR00woRWcatTwoZDIR050_15_BDTG1000D06+1.0)/2.0
ctp[0] = chainData.WP8CTAllProb
binEnergy = max(min(nEnergyBin-1, int((e[0]-vEnergyLow)/vEnergyBinWidth * (int(e[0]<vEnergyLow)*(-2)+1)) ), 0)
if (chainData.TkrNumTracks>0) and (math.log10(max(chainData.CalTrackAngle,1E-4)) <= (0.529795)*(e[0] < 3.000000) + ((1.0)*((0.529795)*(1.0)+(-1.379791)*(pow((e[0]-3.000000)/0.916667,1))+(0.583401)*(pow((e[0]-3.000000)/0.916667,2))+(-0.075555)*(pow((e[0]-3.000000)/0.916667,3))))*(e[0] >= 3.000000 and e[0] <= 5.750000) + (-0.398962)*(e[0] > 5.750000)) and chainData.EvtCalCsIRLn>4 and chainData.WP8CTPSFTail>0.05 and chainData.WP8CTBestEnergyProb>0.1 and chainData.FswGamState == 0: # CalTkr
c[0] = 1
z[0] = chainData.FT1ZenithTheta
az[0] = chainData.FT1EarthAzimuth
ra[0] = chainData.FT1Ra
dec[0] = chainData.FT1Dec
l[0] = chainData.FT1L
b[0] = chainData.FT1B
cth[0] = chainData.Cal1MomZDir
th[0] = chainData.FT1Theta
phi[0] = chainData.FT1Phi
if ( -math.log10(1.0-ctp[0]) >= (0.010000)*(e[0] < 1.250000) + ((e[0] <= 1.750000)*((0.010000)*(1.0)+(0.000000)*(math.pow((e[0]-1.250000)/0.500000,1))+(0.018669)*(math.pow((e[0]-1.250000)/0.500000,2)))+((e[0] > 1.750000)*(e[0] <= 2.250000))*((0.028669)*(1.0)+(0.037338)*(math.pow((e[0]-1.750000)/0.500000,1))+(-0.017111)*(math.pow((e[0]-1.750000)/0.500000,2)))+((e[0] > 2.250000)*(e[0] <= 2.750000))*((0.048897)*(1.0)+(0.003117)*(math.pow((e[0]-2.250000)/0.500000,1))+(0.001967)*(math.pow((e[0]-2.250000)/0.500000,2)))+((e[0] > 2.750000)*(e[0] <= 3.250000))*((0.053980)*(1.0)+(0.007050)*(math.pow((e[0]-2.750000)/0.500000,1))+(-0.003525)*(math.pow((e[0]-2.750000)/0.500000,2)))+((e[0] > 3.250000)*(e[0] <= 3.750000))*((0.057505)*(1.0)+(0.000000)*(math.pow((e[0]-3.250000)/0.500000,1))+(0.121963)*(math.pow((e[0]-3.250000)/0.500000,2)))+((e[0] > 3.750000)*(e[0] <= 4.250000))*((0.179468)*(1.0)+(0.243925)*(math.pow((e[0]-3.750000)/0.500000,1))+(0.493075)*(math.pow((e[0]-3.750000)/0.500000,2)))+((e[0] > 4.250000)*(e[0] <= 4.750000))*((0.916468)*(1.0)+(1.230076)*(math.pow((e[0]-4.250000)/0.500000,1))+(-0.501532)*(math.pow((e[0]-4.250000)/0.500000,2)))+(e[0] > 4.750000)*((1.645012)*(1.0)+(0.227011)*(math.pow((e[0]-4.750000)/0.500000,1))+(0.029483)*(math.pow((e[0]-4.750000)/0.500000,2))))*(e[0] >= 1.250000 and e[0] <= 5.750000) + (2.216967)*(e[0] > 5.750000) ): #P8R1_TRANSIENT_R100
if ( -math.log10(1.0-ctp[0]) >= (0.080914)*(e[0] < 1.250000) + ((e[0] <= 1.750000)*((0.080914)*(1.0)+(0.108897)*(pow((e[0]-1.250000)/0.500000,1))+(0.377870)*(pow((e[0]-1.250000)/0.500000,2)))+((e[0] > 1.750000)*(e[0] <= 2.250000))*((0.567682)*(1.0)+(0.864637)*(pow((e[0]-1.750000)/0.500000,1))+(-0.182318)*(pow((e[0]-1.750000)/0.500000,2)))+((e[0] > 2.250000)*(e[0] <= 2.750000))*((1.250000)*(1.0)+(0.500000)*(pow((e[0]-2.250000)/0.500000,1))+(-0.085000)*(pow((e[0]-2.250000)/0.500000,2)))+((e[0] > 2.750000)*(e[0] <= 3.250000))*((1.665000)*(1.0)+(0.330000)*(pow((e[0]-2.750000)/0.500000,1))+(-0.165000)*(pow((e[0]-2.750000)/0.500000,2)))+((e[0] > 3.250000)*(e[0] <= 3.750000))*((1.830000)*(1.0)+(0.000000)*(pow((e[0]-3.250000)/0.500000,1))+(0.285000)*(pow((e[0]-3.250000)/0.500000,2)))+((e[0] > 3.750000)*(e[0] <= 4.250000))*((2.115000)*(1.0)+(0.570000)*(pow((e[0]-3.750000)/0.500000,1))+(-0.185000)*(pow((e[0]-3.750000)/0.500000,2)))+((e[0] > 4.250000)*(e[0] <= 4.750000))*((2.500000)*(1.0)+(0.200000)*(pow((e[0]-4.250000)/0.500000,1))+(0.100000)*(pow((e[0]-4.250000)/0.500000,2)))+(e[0] > 4.750000)*((2.800000)*(1.0)+(0.400000)*(pow((e[0]-4.750000)/0.500000,1))+(-0.112171)*(pow((e[0]-4.750000)/0.500000,2))))*(e[0] >= 1.250000 and e[0] <= 5.750000) + (3.151318)*(e[0] > 5.750000) ) and ( chainData.WP8CTAllBkProb >= (0.366167)*(e[0] < 1.250000) + ((e[0] <= 1.541667)*((0.366167)*(1.0)+(0.028500)*(pow((e[0]-1.250000)/0.291667,1))+(-0.056500)*(pow((e[0]-1.250000)/0.291667,2))+(0.106667)*(pow((e[0]-1.250000)/0.291667,3)))+((e[0] > 1.541667)*(e[0] <= 1.833333))*((0.444833)*(1.0)+(0.235500)*(pow((e[0]-1.541667)/0.291667,1))+(0.263500)*(pow((e[0]-1.541667)/0.291667,2))+(-0.162667)*(pow((e[0]-1.541667)/0.291667,3)))+((e[0] > 1.833333)*(e[0] <= 2.125000))*((0.781167)*(1.0)+(0.274500)*(pow((e[0]-1.833333)/0.291667,1))+(-0.224500)*(pow((e[0]-1.833333)/0.291667,2))+(0.072667)*(pow((e[0]-1.833333)/0.291667,3)))+(e[0] > 2.125000)*((0.903833)*(1.0)+(0.043500)*(pow((e[0]-2.125000)/0.291667,1))+(-0.006500)*(pow((e[0]-2.125000)/0.291667,2))+(-0.000333)*(pow((e[0]-2.125000)/0.291667,3))))*(e[0] >= 1.250000 and e[0] <= 3.000000) + (0.966833)*(e[0] > 3.000000) ): #P8R1_SOURCE_AllProbFilter&&P8R1_SOURCE_AllBkProbFilter
s[0] = 128#3
aaNumEventClass[0][1] = aaNumEventClass[0][1]+1
else:
s[0] = 4#1
aaNumEventClass[0][0] = aaNumEventClass[0][0]+1
#trm.Fill()
elif chainData.Cal1RawEnergySum>=20000 and chainData.Cal1MomZDir>=0.1 and chainData.Cal1MomZCrossSide840>=0.0 and (chainData.WP8CalOnlyBEPCaseE_myBDT+1.0)/2.0>0.06 and (chainData.TkrNumTracks==0 or (math.log10(max(chainData.CalTrackAngle,1E-4)) > (0.529795)*(e[0] < 3.000000) + ((1.0)*((0.529795)*(1.0)+(-1.379791)*(pow((e[0]-3.000000)/0.916667,1))+(0.583401)*(pow((e[0]-3.000000)/0.916667,2))+(-0.075555)*(pow((e[0]-3.000000)/0.916667,3))))*(e[0] >= 3.000000 and e[0] <= 5.750000) + (-0.398962)*(e[0] > 5.750000))) and chainData.Acd2Cal1VetoSigmaHit>0 and chainData.Cal1TransRms>=10 and chainData.Cal1TransRms<70 and chainData.Cal1MomNumIterations>0 and chainData.FswGamState == 0: # CalOnly
c[0] = 2
z[0] = chainData.FT1CalZenithTheta
az[0] = chainData.FT1CalEarthAzimuth
ra[0] = chainData.FT1CalRa
dec[0] = chainData.FT1CalDec
l[0] = chainData.FT1CalL
b[0] = chainData.FT1CalB
cth[0] = chainData.Cal1MomZDir
th[0] = math.degrees(math.acos(chainData.Cal1MomZDir))
phi[0] = math.degrees(math.atan2(chainData.Cal1MomYDir, chainData.Cal1MomXDir))
if -math.log10(1.0-p[0])>aaValCutBDT[binEnergy+nStartBin][0]: #CalOnly_R100
if -math.log10(1.0-p[0])>aaValCutBDT[binEnergy+nStartBin][1]: #CalOnly_R30
if -math.log10(1.0-p[0])>aaValCutBDT[binEnergy+nStartBin][2]: #CalOnly_R10
s[0]=16384#3
aaNumEventClass[1][2] = aaNumEventClass[1][2]+1
else:
s[0] = 8192#2
aaNumEventClass[1][1] = aaNumEventClass[1][1]+1
else:
s[0] = 4096#1
aaNumEventClass[1][0] = aaNumEventClass[1][0]+1
if(e[0]<4.55 or cth[0]<0.6):
ty[0] = ty[0]+2 #BACK
else:
ty[0] = ty[0]+1 #FRONT
vecEvt = np.array([cos(radians(dec[0]))*cos(radians(ra[0])), cos(radians(dec[0]))*sin(radians(ra[0])), sin(radians(dec[0]))])
aDist = []
distCut = htgPerf.getPSF95_cth(c[0]-1, 0*(s[0]==4 or s[0]==4096)+1*(s[0]==128 or s[0]==8192)+2*(s[0]==16384), e[0], cth[0]) + err_rad
for iRegio in range(1+nOff):
radTheta = acos(np.dot(vecTgt[iRegio], vecEvt))
aDist.append(degrees(radTheta))
if iRegio==0:
dist[0] = aDist[0]
if aDist[iRegio] < distCut:
grZenith[iRegio].SetPoint(grZenith[iRegio].GetN(), t[0]-trigger_time, z[0])
#if s[0]>0:
#print "============================"
if iRegio==0:
flag[0] = 0
if s[0]>0:
print ""
print "== ON photon candidate!!! =="
if c[0] == 1:
if s[0] == 4:
greOn[0][0].SetPoint(greOn[0][0].GetN(), t[0]-trigger_time, pow(10, e[0]-3))
elif s[0] == 128:
greOn[0][1].SetPoint(greOn[0][1].GetN(), t[0]-trigger_time, pow(10, e[0]-3))
elif c[0] == 2:
if s[0] == 4096:
greOn[1][0].SetPoint(greOn[1][0].GetN(), t[0]-trigger_time, pow(10, e[0]-3))
elif s[0] == 8192:
greOn[1][1].SetPoint(greOn[1][1].GetN(), t[0]-trigger_time, pow(10, e[0]-3))
elif s[0] == 16384:
greOn[1][2].SetPoint(greOn[1][2].GetN(), t[0]-trigger_time, pow(10, e[0]-3))
elif iRegio>0:
flag[0] = iRegio
if s[0]>0:
#print ""
#print "== OFF{0} photon candidate! ==".format(iRegio)
if c[0] == 1:
if s[0] == 4:
greOff[0][0][iRegio-1].SetPoint(greOff[0][0][iRegio-1].GetN(), t[0]-trigger_time, pow(10, e[0]-3))
elif s[0] == 128:
greOff[0][1][iRegio-1].SetPoint(greOff[0][1][iRegio-1].GetN(), t[0]-trigger_time, pow(10, e[0]-3))
elif c[0] == 2:
if s[0] == 4096:
greOff[1][0][iRegio-1].SetPoint(greOff[1][0][iRegio-1].GetN(), t[0]-trigger_time, pow(10, e[0]-3))
elif s[0] == 8192:
greOff[1][1][iRegio-1].SetPoint(greOff[1][1][iRegio-1].GetN(), t[0]-trigger_time, pow(10, e[0]-3))
elif s[0] == 16384:
greOff[1][2][iRegio-1].SetPoint(greOff[1][2][iRegio-1].GetN(), t[0]-trigger_time, pow(10, e[0]-3))
if s[0]>0 and iRegio==0:
print "Event No.", iEvent
print "Event category:", cfg.aStrSelect[c[0]-1]
print "Event class:", s[0]
print "Time from the trigger:", t[0]-trigger_time, "s"
print "Anglular distance:", dist[0], "deg"
print "PSF68:", htgPerf.getPSF68_cth(c[0]-1, 0*(s[0]==4 or s[0]==4096)+1*(s[0]==128 or s[0]==8192)+2*(s[0]==16384), e[0], cth[0]), "deg"
print "Energy:", pow(10,e[0]-3), "GeV"
print "Edisp68:", 100*htgPerf.getEdisp68_cth(c[0]-1, 0*(s[0]==4 or s[0]==4096)+1*(s[0]==128 or s[0]==8192)+2*(s[0]==16384), e[0], cth[0]), "%"
print "Cos( inclination angle ):", cth[0]
print "Zenith angle:", z[0], "deg"
print "Run ID:", run[0]
print "Event ID:", evid[0]
trm.Fill()
# if iEvent%(nEvent/200)==0:
# rate = int((iEvent*100.)/nEvent+0.5)
# if rate>0:
# nt = (datetime.datetime.now() - timeStart).seconds * (100.-rate)/rate
# meter = "\r[{0}{1}] {2} Wait {3} hr {4} min".format("=" * rate, ' ' * (100-rate), aaNumEventClass, int(nt/3600), (int(nt)%3600)/60+1)
# else:
# meter = "\r[{0}{1}]".format("=" * rate, ' ' * (100-rate))
# sys.stdout.write(meter)
# sys.stdout.flush()
cEvent.SetTitle("GRB {0} gamma-like events".format(nameGrb))
cEvent.cd()
mgr.Draw("AP")
mgr.GetXaxis().SetTitle("Time [s]")
mgr.GetYaxis().SetTitle("Energy [GeV]")
leg = ROOT.TLegend(0.67, 0.5, 0.88, 0.88)
for pD in range(len(aaStrSelect)):
for qD in range(len(aaStrSelect[pD])):
leg.AddEntry(greOn[pD][qD], greOn[pD][qD].GetTitle(), "p")
for rr in range(nOff):
leg.AddEntry(greOff[1][0][rr], "OFF{0}".format(rr+1), "p")
leg.Draw("same")
cZenith.cd()
mgrZenith.Draw("AP")
mgrZenith.GetXaxis().SetTitle("Time [s]")
mgrZenith.GetYaxis().SetTitle("Zenith angle [deg]")
legZenith = ROOT.TLegend(0.67, 0.5, 0.88, 0.88)
for rz in range(nOff+1):
legZenith.AddEntry(grZenith[rz], grZenith[rz].GetTitle(), "p")
legZenith.Draw("same")
print ""
fileOut.cd()
trm.Write()
cEvent.Write()
cZenith.Write()
print "Finished!"