-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathadd_events.C
executable file
·245 lines (185 loc) · 6.71 KB
/
add_events.C
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
#include <iostream>
#include <fstream>
#include <sstream>
#include <math.h>
#include <TROOT.h>
#include <TSystem.h>
#include <TStyle.h>
#include <TString.h>
#include <TError.h>
#include <TFile.h>
#include <TTree.h>
#include <TList.h>
#include <TH1.h>
#include <TH2.h>
#include <TCanvas.h>
#include <TDatime.h>
#include <TRandom3.h>
#include <TF1.h>
#include <TColor.h>
#include <CameraInfo.hh>
#include <Event.hh>
#include <DatasetHeader.hh>
#include <Dataset.hh>
void add_events(int run=1, int cam = 0, const char * dir = "/scratch3/wparker2/dmtpc2/data/2017/08/raw")
{
bool dbg=true;
int portion=30, ncur=0;
double stops[5] = {0,0.34,0.61,0.84,1.0};
gStyle->SetOptStat(0);
double red[5] = {0.0,0.0,0.87,1.0,0.51};
double green[5] = {0.0,0.81,1.00,0.2,0.0};
double blue[5] = {0.51,1.0,0.12,0.0,0.0};
TColor::CreateGradientColorTable(5,stops,red,green,blue,255);
gStyle->SetNumberContours(255);
TH2 *image_sum0, *image_sum1,*image_sum2, *image_sum3;
TH2 *image0, *image1, *image2, *image3;
///////////Load up the data
TString fout=Form("/scratch3/wparker2/dmtpc2/data/2017/hptpc_test_R%05d.add_events.root",run);
TFile * foutFile = new TFile(fout,"RECREATE");
TTree t("pix_t","Pixel Tree");
int nbins = 1000;
TH1F* TotalIntensity0=new TH1F("TotalIntensity0","Total Intensity0",nbins,-100,100);
TH1F* TotalIntensity1=new TH1F("TotalIntensity1","Total Intensity1",nbins,-100,100);
TH1F* TotalIntensity2=new TH1F("TotalIntensity2","Total Intensity2",nbins,-100,100);
TH1F* TotalIntensity3=new TH1F("TotalIntensity3","Total Intensity3",nbins,-100,100);
double rms = 0, totalrms=0;
double mean = 0, totalmean=0;
double chi = 0;
int runnum = 0;
double ccdTemp;
int nevents = 0;
dmtpc::core::Dataset *d = new dmtpc::core::Dataset;
d->open(TString::Format("%s/hptpc_test_R%05d.raw.root",dir,run));
int n = d->nevents();
runnum = d->event()->run();
int ncam= d->getHeader()->ncameras;
if (cam<0 || cam>=ncam)
Fatal("add_events","Wrong camera ID=%d out of allowed range=[0,%d]",cam,ncam-1);
//t.Branch("intensity",&intensity);
t.Branch("mean",&mean);
t.Branch("rms",&rms);
// t.Branch("runnum",&runnum);
t.Branch("nevents",&nevents);
t.Branch("chi",&chi);
t.Branch("ccdTemp",&ccdTemp);
///////// Initially asign sum Histo to one image to get correct dimensions, then set to 0
d->getEvent(0);
image_sum0 = (TH2D*) d->event()->getImage(0)->getVisible()->Clone();
image_sum1 = (TH2D*) d->event()->getImage(1)->getVisible()->Clone();
image_sum2 = (TH2D*) d->event()->getImage(2)->getVisible()->Clone();
image_sum3 = (TH2D*) d->event()->getImage(3)->getVisible()->Clone();
for (int m=1; m<=image_sum0->GetNbinsX(); m++){
for (int j=1; j<=image_sum0->GetNbinsY(); j++) {
image_sum0->SetBinContent(m,j,0);
image_sum1->SetBinContent(m,j,0);
image_sum2->SetBinContent(m,j,0);
image_sum3->SetBinContent(m,j,0);
}
}
Info("add_events","Process %d frames of run #%d: %d active camera(s)",n,runnum,ncam);
for (int i = 0; i < n; i++) {
if (++ncur>portion) {
Info("add_events","Reopen file at event=%d",i);
d->close();
delete d;
d = new dmtpc::core::Dataset;
d->open(TString::Format("%s/hptpc_test_R%05d.raw.root",dir,run));
ncur=0;
}
Info("add_events","Process event %d",i);
d->getEvent(i);
ccdTemp = d->event()->ccdConfig(0)->ccdTemp;
if (dbg)
Info("add_events"," Cam %d: temperature: %g degrees",0,ccdTemp);
image0 = (TH2*) d->event()->getImage(0)->getVisible()->Clone();
image1 = (TH2*) d->event()->getImage(1)->getVisible()->Clone();
image2 = (TH2*) d->event()->getImage(2)->getVisible()->Clone();
image3 = (TH2*) d->event()->getImage(3)->getVisible()->Clone();
if (dbg)
Info("add_events","images are ok");
for (int m=1; m<=image0->GetNbinsX(); m++){
for (int j=1; j<=image0->GetNbinsY(); j++) {
float pixval0=image0->GetBinContent(m,j);
float temp0=image_sum0->GetBinContent(m,j);
image_sum0->SetBinContent(m,j, pixval0+temp0);
// std::cout << "image0: " << pixval0 << " temp0: " << temp0 << " image_sum0: "<< image_sum0->GetBinContent(m,j) << std::endl;
float pixval1=image1->GetBinContent(m,j);
float temp1=image_sum1->GetBinContent(m,j);
image_sum1->SetBinContent(m,j, pixval1+temp1);
float pixval2=image2->GetBinContent(m,j);
float temp2=image_sum2->GetBinContent(m,j);
image_sum2->SetBinContent(m,j, pixval2+temp2);
float pixval3=image3->GetBinContent(m,j);
float temp3=image_sum3->GetBinContent(m,j);
image_sum3->SetBinContent(m,j, pixval3+temp3);
}
}
if (dbg)
Info("add_events","intensity histo is ok");
if (dbg)
Info("add_events","fit is ok");
t.Fill();
if (dbg)
Info("add_events","tree is ok");
delete image0;
delete image1;
delete image2;
delete image3;
}
Info("add_events","end of cycle");
t.Write();
for (int m=1; m<=image_sum0->GetNbinsX(); m++){
for (int j=1; j<=image_sum0->GetNbinsY(); j++) {
float pixval0b = image_sum0->GetBinContent(m,j);
TotalIntensity0->Fill(pixval0b/n);
float pixval1b = image_sum0->GetBinContent(m,j);
TotalIntensity1->Fill(pixval1b/n);
float pixval2b = image_sum0->GetBinContent(m,j);
TotalIntensity2->Fill(pixval2b/n);
float pixval3b = image_sum0->GetBinContent(m,j);
TotalIntensity3->Fill(pixval3b/n);
}
}
TF1 * gFit0 = new TF1("gFit0","gaus");
TotalIntensity0->Fit(gFit0,"Q");
TotalIntensity0->SetStats(kTRUE);
gStyle->SetOptStat(1111);
gStyle->SetPalette(56);
TotalIntensity0->SetXTitle("ADU");
TotalIntensity0->SetYTitle("Number of Entries");
image_sum0->Write();
TF1 * gFit1 = new TF1("gFit1","gaus");
TotalIntensity1->Fit(gFit1,"Q");
TotalIntensity1->SetStats(kTRUE);
gStyle->SetOptStat(1111);
gStyle->SetPalette(56);
TotalIntensity1->SetXTitle("ADU");
TotalIntensity1->SetYTitle("Number of Entries");
image_sum1->Write();
TF1 * gFit2 = new TF1("gFit2","gaus");
TotalIntensity2->Fit(gFit2,"Q");
TotalIntensity2->SetStats(kTRUE);
gStyle->SetOptStat(1111);
gStyle->SetPalette(56);
TotalIntensity2->SetXTitle("ADU");
TotalIntensity2->SetYTitle("Number of Entries");
image_sum2->Write();
TF1 * gFit3 = new TF1("gFit3","gaus");
TotalIntensity3->Fit(gFit3,"Q");
TotalIntensity3->SetStats(kTRUE);
gStyle->SetOptStat(1111);
gStyle->SetPalette(56);
TotalIntensity3->SetXTitle("ADU");
TotalIntensity3->SetYTitle("Number of Entries");
image_sum3->Write();
//TCanvas *c2 = new TCanvas("c2","",0,0,600,600);
//c2->cd();
//intensity->Draw();
//intensity->Write();
//c2->Update();
// c2->SetLogy();
foutFile->Write();
foutFile->Close();
Info("add_events","Output data has been saved in file='%s'",fout.Data());
}