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Revision: 1.12
Committed: Mon Aug 15 09:31:23 2011 UTC (13 years, 8 months ago) by buchmann
Content type: text/plain
Branch: MAIN
Changes since 1.11: +1 -1 lines
Log Message:
Fixed minor 'typo'

File Contents

# Content
1 #include <iostream>
2 #include <sstream>
3 #include <vector>
4 #include <utility>
5
6 #include <TFile.h>
7 #include <TTree.h>
8 #include <TH1.h>
9 #include <TH2.h>
10 #include <TCut.h>
11 #include <THStack.h>
12 #include <TColor.h>
13 #include <TCanvas.h>
14 #include <TError.h>
15 #include <TText.h>
16 #include <TLegend.h>
17 #include <TError.h>
18 #include <TTreeFormula.h>
19
20 #define SampleClassLoaded
21
22 #ifndef Verbosity
23 #define Verbosity 0
24 #endif
25 #ifndef HUSH
26 #define HUSH 1
27 #endif
28 #ifndef GeneralToolBoxLoaded
29 #include "GeneralToolBox.C"
30 #endif
31 using namespace std;
32
33 bool doesROOTFileExist(string filename);
34 bool addoverunderflowbins=false;
35 string treename="PFevents";
36
37 class sample
38 {
39 public:
40 string filename;
41 string samplename;
42 int Nentries;
43 float xs;//cross section
44 float weight;
45 bool is_data;
46 bool is_signal;
47 bool is_active;
48 int groupindex;
49 Color_t samplecolor;
50
51 TFile *tfile;
52 TTree *events;
53
54 sample(string m_filename,string m_samplename,int m_Nentries, float m_xs,bool is_data, bool m_is_signal, int m_groupindex, Color_t color);
55 void closeFile();
56 };
57
58 string write_mc_or_data(bool is_data)
59 {
60 if(is_data) return "data";
61 return "MC";
62 }
63
64 sample::sample(string m_filename, string m_samplename, int m_Nentries, float m_xs,bool m_is_data, bool m_is_signal, int m_groupindex, Color_t mycolor)
65 {
66 this->filename=m_filename;
67 this->samplename=m_samplename;
68 this->Nentries=m_Nentries;
69 this->xs=m_xs;
70 this->is_data=m_is_data;
71 this->is_signal=m_is_signal;
72 this->weight=(xs/(float)Nentries);
73 this->groupindex=m_groupindex;
74 this->is_active=true;
75 this->samplecolor=mycolor;
76 if(!doesROOTFileExist(this->filename)) {
77 stringstream message;
78 message << "The " << write_mc_or_data(is_data) << " sample " << this->samplename << " is invalid because the associated file path, " << this->filename << " is incorrect.";
79 write_error("Sample::Sample",message.str());
80 this->is_active=false;
81 }
82
83 if(doesROOTFileExist(this->filename)) {
84 //suppressing stupid 64/32 errors here (Warning in <TFile::ReadStreamerInfo>: /scratch/buchmann/MC_Spring11_PU_PF/TToBLNu_TuneZ2_t-channel_7TeV-madgraph.root: not a TStreamerInfo object)
85 Int_t currlevel=gErrorIgnoreLevel;
86 gErrorIgnoreLevel=5000;
87 this->tfile = new TFile(m_filename.c_str());
88 gErrorIgnoreLevel=currlevel;
89 this->events=(TTree*)(this->tfile)->Get(treename.c_str());
90 if(Verbosity>0) dout << "The " << write_mc_or_data(is_data) << " file " << this->filename << " has been added successfully to the list of samples. " << endl;
91 }
92 else {
93 this->is_active=false;
94 }
95
96 }
97
98 void sample::closeFile()
99 {
100 if(doesROOTFileExist(this->filename)) {
101 (this->tfile)->Close();
102 }
103 else {
104 dout << "SAMPLE " << this->samplename << " cannot be closed as the underlying file (" << this->filename << ") does not exist!" << endl;
105 this->is_active=false;
106 }
107 }
108
109 bool doesROOTFileExist(string filename)
110 {
111 //suppressing stupid 64/32 errors here (Warning in <TFile::ReadStreamerInfo>: /scratch/buchmann/MC_Spring11_PU_PF/TToBLNu_TuneZ2_t-channel_7TeV-madgraph.root: not a TStreamerInfo object)
112 Int_t currlevel=gErrorIgnoreLevel;
113 gErrorIgnoreLevel=5000;
114 TFile *f = new TFile(filename.c_str());
115
116 if (f->IsZombie()) {
117 dout << "Error opening file" << filename << endl;
118 return 0;
119 }
120 f->Close();
121 gErrorIgnoreLevel=currlevel;
122 return 1;
123 }
124 //********************************************************
125
126 TCut essentialcut("mll>0");
127 // This will reweight all the events: use "weight" to correct MC for pileUP
128 TCut cutWeight("weight");
129
130 void setessentialcut(TCut ess) {
131 essentialcut=ess;
132 }
133
134 class samplecollection
135 {
136 public:
137 string name;
138 vector<sample> collection;
139 int nsamples;
140 int ndatasamples;
141 int nmcsamples;
142 int ngroups;
143
144 samplecollection(string m_name);
145 void AddSample(string m_filename,string m_samplename,int m_Nentries, float m_xs,bool is_data, bool m_is_signal, int groupindex, Color_t color);
146
147 //vector quantities
148 TH1F* Draw(string m_histoname,string m_var, vector<float> binning, string m_xlabel, string m_ylabel, TCut Cut, bool m_is_data, float luminosity, vector<int> onlyindex, bool drawsignal);
149 TH1F* Draw(string m_histoname,string m_var, vector<float> binning, string m_xlabel, string m_ylabel, TCut Cut, bool m_is_data, float luminosity, bool drawsignal);
150
151 //minx,maxs quantities
152 TH1F* Draw(string m_histoname,string m_var, int m_nbins, float m_minx, float m_maxx, string m_xlabel, string m_ylabel, TCut Cut, bool m_is_data, float luminosity, bool drawsignal);
153 TH1F* Draw(string m_histoname,string m_var, int m_nbins, float m_minx, float m_maxx, string m_xlabel, string m_ylabel, TCut Cut, bool m_is_data, float luminosity, vector<int> onlyindex, bool drawsignal);
154
155 TH2F* Draw(string m_histoname,string m_var, vector<float> binningx, vector<float> binningy, string m_xlabel, string m_ylabel, TCut Cut, bool m_is_data, float luminosity, vector<int> onlyindex, bool drawsignal);
156
157 vector<float> get_optimal_binsize(string variable, TCut cut,int nbins, float low, float high);
158
159 THStack DrawStack(string m_histoname,string m_var, int m_nbins, float m_minx, float m_maxx, string m_xlabel, string m_ylabel, TCut Cut, bool m_is_data, float luminosity, bool drawsignal);
160 THStack DrawStack(string m_histoname,string m_var, vector<float> binning, string m_xlabel, string m_ylabel, TCut Cut, bool m_is_data, float luminosity, bool drawsignal);
161 vector<int> FindSample(string what);
162 void ListSamples();
163 bool do_sample(int thissample, vector<int> &selected_samples);
164 Color_t GetColor(string filename);
165 Color_t GetColor(int sampleindex);
166
167 TLegend* allbglegend(string title,float x, float y);
168 TLegend* allbglegend(string title, TH1F *data, float x, float y);
169
170 void PickUpFromThisFile(int isamp, string cut, vector<string> &output, vector<string> &pickupfile);
171 void PickUpEvents(string cut);
172 };
173
174 samplecollection::samplecollection(string m_name)
175 {
176 this->name=m_name;
177 if(Verbosity>0) dout << "Initiated sample collection " << this->name << " " << endl;
178 }
179
180 void samplecollection::ListSamples()
181 {
182 dout << "---------------------------------------------------------------------------------------------------" << endl;
183 dout << "Listing all " << this->nsamples << " sample(s) of the sample collection called " << this->name << " : " << endl;
184 if(this->ndatasamples>0) {
185 dout << "Data sample(s): " << endl;
186 for (int isamp=0;isamp<this->collection.size();isamp++)
187 {
188 if((this->collection)[isamp].is_data) dout << " - " << (this->collection)[isamp].samplename << " from " << (this->collection)[isamp].filename << endl;
189 }
190 }
191 if(this->nmcsamples>0) {
192 dout << "MC sample(s): " << endl;
193 for (int isamp=0;isamp<this->collection.size();isamp++)
194 {
195 if(!(this->collection)[isamp].is_data) dout << " - " << (this->collection)[isamp].samplename << " from " << (this->collection)[isamp].filename << endl;
196 }
197 }
198 dout << "---------------------------------------------------------------------------------------------------" << endl;
199 }
200
201 void samplecollection::AddSample(string m_filename,string m_samplename,int m_Nentries, float m_xs,bool is_data, bool m_is_signal, int groupindex, Color_t newcolor)
202 {
203 sample NewSample(m_filename,m_samplename,m_Nentries,m_xs,is_data,m_is_signal,groupindex,newcolor);
204 (this->collection).push_back(NewSample);
205 if((this->collection).size()==1) {
206 this->nmcsamples=0;
207 this->ndatasamples=0;
208 this->nsamples=0;
209 this->ngroups=0;
210 }
211 if(groupindex>this->ngroups) this->ngroups=groupindex;
212 if(is_data) this->ndatasamples++;
213 else this->nmcsamples++;
214 this->nsamples=this->collection.size();
215 }
216
217 bool samplecollection::do_sample(int thissample, vector<int> &selected_samples)
218 {
219 bool drawit=false;
220 for(int isel=0;isel<selected_samples.size();isel++)
221 {
222 if(selected_samples[isel]==thissample) {
223 drawit=true;
224 break;
225 }
226 }
227 return drawit;
228 }
229
230 TH1F* samplecollection::Draw(string m_histoname,string m_var, int m_nbins, float m_minx, float m_maxx, string m_xlabel, string m_ylabel, TCut Cut, bool m_is_data, float luminosity, bool drawsignal=false)
231 {
232 vector<int> emptyvector;
233 TH1F *histo = this->Draw(m_histoname,m_var, m_nbins, m_minx, m_maxx, m_xlabel, m_ylabel, Cut, m_is_data, luminosity,emptyvector,drawsignal);
234 return histo;
235 }
236
237 TH1F* samplecollection::Draw(string m_histoname,string m_var, vector<float> binning, string m_xlabel, string m_ylabel, TCut Cut, bool m_is_data, float luminosity, bool drawsignal=false)
238 {
239 vector<int> emptyvector;
240 TH1F *histo = this->Draw(m_histoname,m_var, binning, m_xlabel, m_ylabel, Cut, m_is_data, luminosity,emptyvector,drawsignal);
241 return histo;
242 }
243
244 TH1F* samplecollection::Draw(string m_histoname,string m_var, vector<float> binning, string m_xlabel, string m_ylabel, TCut Cut, bool m_is_data, float luminosity, vector<int> onlyindex, bool drawsignal=false) {
245 if(Verbosity>0) dout << endl << endl;
246 if(Verbosity>0) dout << "-------------------------------------------------------------------------------------" << endl;
247 if(Verbosity>0) dout << "histoname : " << m_histoname << " , m_var = " << m_var << ", m_xlabel=" << m_xlabel << " m_ylabel=" << m_ylabel << " m_is_data = " << m_is_data << " lumi = " << luminosity << " onlyindex size: " << onlyindex.size() << endl;
248 if(HUSH==0) dout << "Drawing histo called " << m_histoname << "... " << endl;
249 bool do_only_selected_samples=false;
250 if(onlyindex.size()>0&&onlyindex[0]!=-1) {
251 if(Verbosity>0) {dout << "Requested to only draw sample corresponding to the following sample(s) : " << endl;}
252 for(int is=0;is<onlyindex.size();is++) {
253 if(Verbosity>0) dout << " - " << (this->collection)[onlyindex[is]].filename << " (sample index: " << onlyindex[is] << ")" << endl;
254 }
255 do_only_selected_samples=true;
256 }
257 if(onlyindex.size()==1&&onlyindex[0]==-1) {
258 do_only_selected_samples=true; // this is the special case when we request a non-existing sample - we shouldn't draw anything then.
259 onlyindex.clear();
260 }
261 stringstream h_histoname;
262 h_histoname<<"h_"<<m_histoname;
263 float binningarray[binning.size()+1];
264 for(int i=0;i<binning.size();i++) {binningarray[i]=binning[i];}
265 TH1F *histo = new TH1F(m_histoname.c_str(),"",binning.size()-1,binningarray);
266 histo->Sumw2();
267
268 stringstream drawthis;
269 drawthis<<m_var<<">>tempdrawhisto";
270
271 for (unsigned int isample=0;isample<(this->collection).size();isample++) {
272 bool use_this_sample=false;
273 if(!(this->collection)[isample].is_active) continue; // skip inactive samples right away
274 if(((this->collection)[isample].is_data==m_is_data)&&(!do_only_selected_samples)) {
275 if(drawsignal==false&&(this->collection)[isample].is_signal==true) continue;
276 use_this_sample=true;
277 }
278 if(do_only_selected_samples&&this->do_sample(isample,onlyindex)) {
279 use_this_sample=true;
280 }
281 TH1F *tempdrawhisto = new TH1F("tempdrawhisto","tempdrawhisto",binning.size()-1,binningarray);
282 tempdrawhisto->Sumw2();
283 if(use_this_sample) {
284 if(Verbosity>0) dout << "[samplecollection::Draw] : Added contribution from sample " << (this->collection)[isample].samplename << endl;
285 (this->collection)[isample].events->Draw(drawthis.str().c_str(),(essentialcut&&Cut)*cutWeight);//this weight is based on PU etc. not XS
286 if(addoverunderflowbins) {
287 //now also adding the overflow & underflow bins:
288 tempdrawhisto->SetBinContent(tempdrawhisto->GetNbinsX(),tempdrawhisto->GetBinContent(tempdrawhisto->GetNbinsX()+1));
289 tempdrawhisto->SetBinError(tempdrawhisto->GetNbinsX(),TMath::Sqrt(tempdrawhisto->GetBinContent(tempdrawhisto->GetNbinsX())));
290 tempdrawhisto->SetBinContent(1,tempdrawhisto->GetBinContent(0));
291 tempdrawhisto->SetBinError(1,TMath::Sqrt(tempdrawhisto->GetBinContent(1)));
292 }
293
294 if(!(this->collection)[isample].is_data) tempdrawhisto->Scale(luminosity*((this->collection)[isample].weight));//weight applied here is XS & N(entries)
295 histo->Add(tempdrawhisto);
296 }
297 tempdrawhisto->Delete();
298 }//end of loop over isample
299 if(Verbosity>0) dout << "Histo has been filled and now contains " << histo->Integral() << " points (integral)" << endl;
300 histo->GetXaxis()->SetTitle(m_xlabel.c_str());
301 histo->GetYaxis()->SetTitle(m_ylabel.c_str());
302 histo->GetXaxis()->CenterTitle();
303 histo->GetYaxis()->CenterTitle();
304 if(do_only_selected_samples) histo->SetLineColor(this->GetColor(onlyindex[0]));
305 return histo;
306 }
307
308 TH2F* samplecollection::Draw(string m_histoname,string m_var, vector<float> binningx, vector<float> binningy, string m_xlabel, string m_ylabel, TCut Cut, bool m_is_data, float luminosity, vector<int> onlyindex, bool drawsignal=false) {
309 if(Verbosity>0) dout << endl << endl;
310 if(Verbosity>0) dout << "-------------------------------------------------------------------------------------" << endl;
311 if(Verbosity>0) dout << "histoname : " << m_histoname << " , m_var = " << m_var << ", m_xlabel=" << m_xlabel << " m_ylabel=" << m_ylabel << " m_is_data = " << m_is_data << " lumi = " << luminosity << " onlyindex size: " << onlyindex.size() << endl;
312 if(HUSH==0) dout << "Drawing histo called " << m_histoname << "... " << endl;
313 bool do_only_selected_samples=false;
314 if(onlyindex.size()>0&&onlyindex[0]!=-1) {
315 if(Verbosity>0) {dout << "Requested to only draw sample corresponding to the following sample(s) : " << endl;}
316 for(int is=0;is<onlyindex.size();is++) {
317 if(Verbosity>0) dout << " - " << (this->collection)[onlyindex[is]].filename << " (sample index: " << onlyindex[is] << ")" << endl;
318 }
319 do_only_selected_samples=true;
320 }
321 if(onlyindex.size()==1&&onlyindex[0]==-1) {
322 do_only_selected_samples=true; // this is the special case when we request a non-existing sample - we shouldn't draw anything then.
323 onlyindex.clear();
324 }
325 stringstream h_histoname;
326 h_histoname<<"h_"<<m_histoname;
327 float binningarray[binningx.size()+1];
328 float binningyarray[binningy.size()+1];
329 for(int i=0;i<binningx.size();i++) {binningarray[i]=binningx[i];binningyarray[i]=binningy[i];}
330 TH2F *histo = new TH2F(m_histoname.c_str(),"",binningx.size()-1,binningarray,binningy.size(),binningyarray);
331 histo->Sumw2();
332
333 stringstream drawthis;
334 drawthis<<m_var<<">>tempdrawhisto";
335
336 for (unsigned int isample=0;isample<(this->collection).size();isample++) {
337 bool use_this_sample=false;
338 if(!(this->collection)[isample].is_active) continue; // skip inactive samples right away
339 if(((this->collection)[isample].is_data==m_is_data)&&(!do_only_selected_samples)) {
340 if(drawsignal==false&&(this->collection)[isample].is_signal==true) continue;
341 use_this_sample=true;
342 }
343 if(do_only_selected_samples&&this->do_sample(isample,onlyindex)) {
344 use_this_sample=true;
345 }
346 TH2F *tempdrawhisto = new TH2F("tempdrawhisto","tempdrawhisto",binningx.size()-1,binningarray,binningy.size()-1,binningyarray);
347 tempdrawhisto->Sumw2();
348 if(use_this_sample) {
349 if(Verbosity>0) dout << "[samplecollection::Draw] : Added contribution from sample " << (this->collection)[isample].samplename << endl;
350 (this->collection)[isample].events->Draw(drawthis.str().c_str(),(essentialcut&&Cut)*cutWeight);//this weight is based on PU etc. not XS
351 if(addoverunderflowbins) {
352 //now also adding the overflow & underflow bins:
353 tempdrawhisto->SetBinContent(tempdrawhisto->GetNbinsX(),tempdrawhisto->GetBinContent(tempdrawhisto->GetNbinsX()+1));
354 tempdrawhisto->SetBinError(tempdrawhisto->GetNbinsX(),TMath::Sqrt(tempdrawhisto->GetBinContent(tempdrawhisto->GetNbinsX())));
355 tempdrawhisto->SetBinContent(1,tempdrawhisto->GetBinContent(0));
356 tempdrawhisto->SetBinError(1,TMath::Sqrt(tempdrawhisto->GetBinContent(1)));
357 }
358
359 if(!(this->collection)[isample].is_data) tempdrawhisto->Scale(luminosity*((this->collection)[isample].weight));//weight applied here is XS & N(entries)
360 histo->Add(tempdrawhisto);
361 }
362 tempdrawhisto->Delete();
363 }//end of loop over isample
364 if(Verbosity>0) dout << "Histo has been filled and now contains " << histo->Integral() << " points (integral)" << endl;
365 histo->GetXaxis()->SetTitle(m_xlabel.c_str());
366 histo->GetYaxis()->SetTitle(m_ylabel.c_str());
367 histo->GetXaxis()->CenterTitle();
368 histo->GetYaxis()->CenterTitle();
369 if(do_only_selected_samples) histo->SetLineColor(this->GetColor(onlyindex[0]));
370 return histo;
371 }
372
373
374 TH1F* samplecollection::Draw(string m_histoname,string m_var, int m_nbins, float m_minx, float m_maxx, string m_xlabel, string m_ylabel, TCut Cut, bool m_is_data, float luminosity, vector<int> onlyindex, bool drawsignal=false)
375 {
376 vector<float> binning;
377 for(int i=0;i<=m_nbins;i++)
378 {
379 binning.push_back(((float)(m_maxx-m_minx)/((float)m_nbins))*i+m_minx);
380 }
381
382 TH1F *histo = this->Draw(m_histoname,m_var, binning, m_xlabel, m_ylabel, Cut, m_is_data, luminosity, onlyindex,drawsignal);
383 return histo;
384 }
385
386 THStack samplecollection::DrawStack(string m_histoname,string m_var, vector<float> binning, string m_xlabel, string m_ylabel, TCut Cut, bool m_is_data, float luminosity, bool drawsignal=false) {
387 stringstream h_histoname;
388 h_histoname<<"h_"<<m_histoname;
389 THStack thestack("thestack",m_histoname.c_str());
390
391 stringstream drawthis;
392 drawthis<<m_var<<">>tempdrawhisto";
393
394 TH1F *histogroups[this->ngroups+1];
395 int bookedhistos[this->ngroups+1];
396 for(int ih=0;ih<=this->ngroups;ih++) bookedhistos[ih]=0;
397
398 float binningarray[binning.size()+1];
399 for(int i=0;i<binning.size();i++) {binningarray[i]=binning[i];}
400
401 for (unsigned int isample=0;isample<(this->collection).size();isample++) {
402 if(!drawsignal&&(this->collection)[isample].is_signal) continue;
403 if((this->collection)[isample].is_active&&(this->collection)[isample].is_data==m_is_data) {//fills mc if we want mc, else fills data.
404 TH1F *tempdrawhisto = new TH1F("tempdrawhisto","",binning.size()-1,binningarray);
405 (this->collection)[isample].events->Draw(drawthis.str().c_str(),(essentialcut&&Cut)*cutWeight);
406
407 if(addoverunderflowbins) {
408 //now also adding the overflow & underflow bins:
409 tempdrawhisto->SetBinContent(tempdrawhisto->GetNbinsX(),tempdrawhisto->GetBinContent(tempdrawhisto->GetNbinsX()+1));
410 tempdrawhisto->SetBinError(tempdrawhisto->GetNbinsX(),TMath::Sqrt(tempdrawhisto->GetBinContent(tempdrawhisto->GetNbinsX())));
411 tempdrawhisto->SetBinContent(1,tempdrawhisto->GetBinContent(0));
412 tempdrawhisto->SetBinError(1,TMath::Sqrt(tempdrawhisto->GetBinContent(1)));
413 }
414
415 if(!(this->collection)[isample].is_data) tempdrawhisto->Scale(luminosity*((this->collection)[isample].weight));
416 tempdrawhisto->SetFillColor(this->GetColor(isample));
417 if(bookedhistos[(this->collection)[isample].groupindex]==0) {
418 tempdrawhisto->SetName(GetNumericHistoName().c_str());
419 histogroups[(this->collection)[isample].groupindex]=(TH1F*)tempdrawhisto->Clone();
420 bookedhistos[(this->collection)[isample].groupindex]=1;
421 }
422 else
423 {
424 histogroups[(this->collection)[isample].groupindex]->Add(tempdrawhisto);
425 bookedhistos[(this->collection)[isample].groupindex]++;
426 }
427 tempdrawhisto->Delete();
428 }
429 }
430 vector<int> ordered_indices;
431 vector<float> ordered_integrals;
432
433 for(int ig=0;ig<=this->ngroups;ig++) {
434 if(bookedhistos[ig]>0) {
435 ordered_indices.push_back(ig);
436 ordered_integrals.push_back(histogroups[ig]->Integral());
437 }
438 }
439
440 /*
441 bubbleSort(ordered_integrals,ordered_indices);
442 // for(int index=ordered_indices.size()-1;index>=0;index--) {
443 for(int index=0;index<ordered_indices.size();index++) {
444 thestack.Add(histogroups[ordered_indices[index]]);
445 }
446 */
447 for(int index=0;index<ordered_indices.size();index++) {
448 thestack.Add(histogroups[ordered_indices[index]]);
449 }
450 return thestack;
451 }
452
453 THStack samplecollection::DrawStack(string m_histoname,string m_var, int m_nbins, float m_minx, float m_maxx, string m_xlabel, string m_ylabel, TCut Cut, bool m_is_data, float luminosity, bool
454 drawsignal=false)
455 {
456 vector<float> binning;
457 for(int i=0;i<=m_nbins;i++)
458 {
459 binning.push_back(((float)(m_maxx-m_minx)/((float)m_nbins))*i+m_minx);
460 }
461 return this->DrawStack(m_histoname,m_var, binning, m_xlabel, m_ylabel, Cut, m_is_data, luminosity, drawsignal);
462 }
463
464
465 vector<int> samplecollection::FindSample(string what)
466 {
467 vector<int> hitcollection;
468 for(unsigned int isam=0;isam<(this->collection).size();isam++)
469 {
470 if(((this->collection)[isam].filename).find(what)!=string::npos) {
471 hitcollection.push_back(isam);
472 } else {
473 }
474 }
475 if(hitcollection.size()==0) {
476 hitcollection.push_back(-1);
477 write_warning(__FUNCTION__,"Couldn't find sample "+string(what)+": using sample collection \""+string(this->name)+"\"");
478 }
479 return hitcollection;
480 }
481
482 Color_t samplecollection::GetColor(string filename) {
483 vector<int> corresponding_samples = this->FindSample(filename);
484 if(corresponding_samples.size()>0) return this->GetColor(corresponding_samples[0]);
485 return kBlack;
486 }
487
488 Color_t samplecollection::GetColor(int sampleindex) {
489 return this->collection[sampleindex].samplecolor;
490 }
491
492 TLegend* samplecollection::allbglegend(string title, TH1F *data,float posx=0.65, float posy=0.60) {
493 // TLegend *leg = new TLegend(0.65,0.60,0.89,0.77);
494 TLegend *leg = new TLegend(posx,posy,0.89,0.89);
495 if(title!="") leg->SetHeader(title.c_str());
496 if(data->GetName()!="nothing") leg->AddEntry(data,"Data","p");
497 leg->SetFillColor(kWhite);
498 leg->SetBorderSize(0);
499 leg->SetLineColor(kWhite);
500
501 TH1F *fakehistos[(this->collection).size()];
502 bool donealready[(this->collection).size()];
503 for(int i=0;i<(this->collection).size();i++) donealready[i]=false;
504 for(int isample=0;isample<(this->collection).size();isample++) {
505 if((this->collection)[isample].is_data||(this->collection)[isample].is_signal) continue;
506
507 if(!donealready[(this->collection)[isample].groupindex]) {
508 fakehistos[(this->collection)[isample].groupindex] = new TH1F(GetNumericHistoName().c_str(),"",1,0,1);
509 fakehistos[(this->collection)[isample].groupindex]->Fill(1);
510 fakehistos[(this->collection)[isample].groupindex]->SetFillColor(this->GetColor(isample));
511 leg->AddEntry(fakehistos[(this->collection)[isample].groupindex],((this->collection)[isample].samplename).c_str(),"f");
512 donealready[(this->collection)[isample].groupindex]=true;
513 }
514 }
515 DrawPrelim();
516 leg->SetTextFont(42);
517 return leg;
518 }
519
520 TLegend* samplecollection::allbglegend(string title="",float posx=0.65, float posy=0.60) {
521 Int_t currlevel=gErrorIgnoreLevel;
522 gErrorIgnoreLevel=5000;
523 TH1F *blub = new TH1F("nothing","nothing",1,0,1);
524 gErrorIgnoreLevel=currlevel;//we know this possibly replaces a previous histo, but we don't care since it's fake anyway.
525 return this->allbglegend(title,blub,posx,posy);
526 }
527
528
529 void set_treename(string treen="events") {
530 dout << "Treename has been set to " << treen << endl;
531 if(treen=="PFevents"||treen=="events") treename=treen;
532 else write_error("sample::set_treename","Setting the treename failed as you provided an invalid tree name.");
533 }
534
535 vector<float> samplecollection::get_optimal_binsize(string variable, TCut cut,int nbins, float low, float high) {
536 TH1F *histo = this->Draw("histo",variable,5000,low,high, "finding_optimal_binsize", "events", cut,0,1000);
537 float eventsperbin=histo->Integral()/nbins;
538 vector<float> binning;
539 binning.push_back(high);
540 float runningsum=0;
541 for(int i=histo->GetNbinsX();i>0;i--) {
542 runningsum+=histo->GetBinContent(i);
543 if(TMath::Abs(runningsum-eventsperbin)<0.05*eventsperbin||runningsum>eventsperbin) {
544 binning.push_back(histo->GetBinLowEdge(i));
545 runningsum=0;
546 }
547 }
548 if(runningsum>0) binning.push_back(low);
549 for(int i=0;i<int(binning.size()/2);i++) {
550 float temp=binning[i];
551 binning[i]=binning[binning.size()-1-i];
552 binning[binning.size()-1-i]=temp;
553 }
554
555 return binning;
556
557 }
558
559 void samplecollection::PickUpFromThisFile(int isamp, string cut, vector<string> &output, vector<string> &pickupfile) {
560 int lumi,eventNum,runNum;
561 float jzb[30];
562 (this->collection)[isamp].events->SetBranchAddress("jzb",&jzb);
563 (this->collection)[isamp].events->SetBranchAddress("lumi",&runNum);
564 (this->collection)[isamp].events->SetBranchAddress("eventNum",&eventNum);
565 (this->collection)[isamp].events->SetBranchAddress("lumi",&lumi);
566 (this->collection)[isamp].events->SetBranchAddress("runNum",&runNum);
567
568
569 TTreeFormula *select = new TTreeFormula("select", cut.c_str()&&essentialcut, (this->collection)[isamp].events);
570 int npickedup=0;
571 for (Int_t entry = 0 ; entry < (this->collection)[isamp].events->GetEntries() ; entry++) {
572 (this->collection)[isamp].events->LoadTree(entry);
573 if (select->EvalInstance()) {
574 (this->collection)[isamp].events->GetEntry(entry);
575 dout << runNum << ":" << lumi << ":" << eventNum << endl;
576 npickedup++;
577 }
578 }
579 dout << "Printed out a total of " << npickedup << " events" << endl;
580 }
581
582
583
584 void samplecollection::PickUpEvents(string cut) {
585 vector<string> output;
586 vector<string> pickupfile;
587 for (int isamp=0;isamp<this->collection.size();isamp++)
588 {
589 if((this->collection)[isamp].is_data) {
590 //we have a data sample !
591 this->PickUpFromThisFile(isamp,cut,output,pickupfile);
592 }
593 }
594 //do something with output and of course the pickup file!
595 }
596
597
598 void switch_overunderflow(bool newpos=false) {
599 addoverunderflowbins=newpos;
600 }