-
Notifications
You must be signed in to change notification settings - Fork 3
/
pAnalyzeGRB_csv_General.py
304 lines (290 loc) · 18.1 KB
/
pAnalyzeGRB_csv_General.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
#!/usr/bin/env python
import sys
import ROOT
ROOT.gROOT.SetBatch()
from ROOT import TTree, TChain
import numpy as np
import yaml
import datetime
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 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"
nameFileSuffix = par[1]
#vSepCut = int(par[2])
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=[]
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))
# OFF regions
nOff = 0 #4;
degOffOffset = 14.0
zenithCut = 90;
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 ""
fileIn = ROOT.TFile(nameFileIn, "READ")
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 -----
# nameGrb = "160509374"
# for iGrb in range(num_lines-1):
# if int(nameGrb) == int(csv.ix[iGrb,'name']):
# raSrc = float(csv.ix[iGrb,'ra'])
# decSrc = float(csv.ix[iGrb,'dec'])
# trigger_time = ConvertMjdToMet(float(csv.ix[iGrb,'trigger_time']))
# 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
# Plot
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]))
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(6)
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 = ROOT.TGraph()
grZenith.SetName("grZenith")
grZenith.SetTitle("ON")
grZenith.SetMarkerStyle(7)
#------ 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)
trm = ROOT.TTree("trGammas", "Gamma-like events")
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()
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
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]))])
grZenith.SetPoint(grZenith.GetN(), t[0], z[0])
if s[0]>0 and z[0]<zenithCut:
#print ""
#print "== ON photon candidate!!! =="
if c[0] == 1:
if s[0] == 4:
greOn[0][0].SetPoint(greOn[0][0].GetN(), t[0], pow(10, e[0]-3))
elif s[0] == 128:
greOn[0][1].SetPoint(greOn[0][1].GetN(), t[0], pow(10, e[0]-3))
elif c[0] == 2:
if s[0] == 4096:
greOn[1][0].SetPoint(greOn[1][0].GetN(), t[0], pow(10, e[0]-3))
elif s[0] == 8192:
greOn[1][1].SetPoint(greOn[1][1].GetN(), t[0], pow(10, e[0]-3))
elif s[0] == 16384:
greOn[1][2].SetPoint(greOn[1][2].GetN(), t[0], pow(10, e[0]-3))
#print "Event No.", iEvent
#print "Event category:", cfg.aStrSelect[c[0]-1]
#print "Event class:", s[0]
#print "Time:", t[0], "s"
#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()
cEvent.SetTitle("Gamma-like events")
cEvent.cd()
mgr.Draw("AP")
mgr.GetXaxis().SetTitle("Time [s]")
mgr.GetYaxis().SetTitle("Energy [GeV]")
mgr.GetYaxis().SetRangeUser(10, 10000)
cEvent.SetLogy()
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")
leg.Draw("same")
cZenith.cd()
grZenith.Draw("AP")
grZenith.GetXaxis().SetTitle("Time [s]")
grZenith.GetYaxis().SetTitle("Zenith angle [deg]")
print ""
fileOut.cd()
trm.Write()
cEvent.Write()
cZenith.Write()
print "Finished!"