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Revision: 1.9
Committed: Wed Jul 27 13:07:42 2011 UTC (13 years, 9 months ago) by buchmann
Content type: text/plain
Branch: MAIN
Changes since 1.8: +18 -3 lines
Log Message:
Sample collection class can now also draw thstack with a variable binning via a vector; the previous type (min,max,nbins) gets converted to a vector automatically and is still accepted

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
128 void setessentialcut(TCut ess) {
129 essentialcut=ess;
130 }
131
132 class samplecollection
133 {
134 public:
135 string name;
136 vector<sample> collection;
137 int nsamples;
138 int ndatasamples;
139 int nmcsamples;
140 int ngroups;
141
142 samplecollection(string m_name);
143 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);
144
145 //vector quantities
146 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);
147 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);
148
149 //minx,maxs quantities
150 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);
151 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);
152
153 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);
154
155 vector<float> get_optimal_binsize(string variable, TCut cut,int nbins, float low, float high);
156
157 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);
158 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);
159 vector<int> FindSample(string what);
160 void ListSamples();
161 bool do_sample(int thissample, vector<int> &selected_samples);
162 Color_t GetColor(string filename);
163 Color_t GetColor(int sampleindex);
164
165 TLegend* allbglegend(string title,float x, float y);
166 TLegend* allbglegend(string title, TH1F *data, float x, float y);
167
168 void PickUpFromThisFile(int isamp, string cut, vector<string> &output, vector<string> &pickupfile);
169 void PickUpEvents(string cut);
170 };
171
172 samplecollection::samplecollection(string m_name)
173 {
174 this->name=m_name;
175 if(Verbosity>0) dout << "Initiated sample collection " << this->name << " " << endl;
176 }
177
178 void samplecollection::ListSamples()
179 {
180 dout << "---------------------------------------------------------------------------------------------------" << endl;
181 dout << "Listing all " << this->nsamples << " sample(s) of the sample collection called " << this->name << " : " << endl;
182 if(this->ndatasamples>0) {
183 dout << "Data sample(s): " << endl;
184 for (int isamp=0;isamp<this->collection.size();isamp++)
185 {
186 if((this->collection)[isamp].is_data) dout << " - " << (this->collection)[isamp].samplename << " from " << (this->collection)[isamp].filename << endl;
187 }
188 }
189 if(this->nmcsamples>0) {
190 dout << "MC sample(s): " << endl;
191 for (int isamp=0;isamp<this->collection.size();isamp++)
192 {
193 if(!(this->collection)[isamp].is_data) dout << " - " << (this->collection)[isamp].samplename << " from " << (this->collection)[isamp].filename << endl;
194 }
195 }
196 dout << "---------------------------------------------------------------------------------------------------" << endl;
197 }
198
199 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)
200 {
201 sample NewSample(m_filename,m_samplename,m_Nentries,m_xs,is_data,m_is_signal,groupindex,newcolor);
202 (this->collection).push_back(NewSample);
203 if((this->collection).size()==1) {
204 this->nmcsamples=0;
205 this->ndatasamples=0;
206 this->nsamples=0;
207 this->ngroups=0;
208 }
209 if(groupindex>this->ngroups) this->ngroups=groupindex;
210 if(is_data) this->ndatasamples++;
211 else this->nmcsamples++;
212 this->nsamples=this->collection.size();
213 }
214
215 bool samplecollection::do_sample(int thissample, vector<int> &selected_samples)
216 {
217 bool drawit=false;
218 for(int isel=0;isel<selected_samples.size();isel++)
219 {
220 if(selected_samples[isel]==thissample) {
221 drawit=true;
222 break;
223 }
224 }
225 return drawit;
226 }
227
228 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)
229 {
230 vector<int> emptyvector;
231 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);
232 return histo;
233 }
234
235 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)
236 {
237 vector<int> emptyvector;
238 TH1F *histo = this->Draw(m_histoname,m_var, binning, m_xlabel, m_ylabel, Cut, m_is_data, luminosity,emptyvector,drawsignal);
239 return histo;
240 }
241
242 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) {
243 if(Verbosity>0) dout << endl << endl;
244 if(Verbosity>0) dout << "-------------------------------------------------------------------------------------" << endl;
245 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;
246 if(HUSH==0) dout << "Drawing histo called " << m_histoname << "... " << endl;
247 bool do_only_selected_samples=false;
248 if(onlyindex.size()>0&&onlyindex[0]!=-1) {
249 if(Verbosity>0) {dout << "Requested to only draw sample corresponding to the following sample(s) : " << endl;}
250 for(int is=0;is<onlyindex.size();is++) {
251 if(Verbosity>0) dout << " - " << (this->collection)[onlyindex[is]].filename << " (sample index: " << onlyindex[is] << ")" << endl;
252 }
253 do_only_selected_samples=true;
254 }
255 if(onlyindex.size()==1&&onlyindex[0]==-1) {
256 do_only_selected_samples=true; // this is the special case when we request a non-existing sample - we shouldn't draw anything then.
257 onlyindex.clear();
258 }
259 stringstream h_histoname;
260 h_histoname<<"h_"<<m_histoname;
261 float binningarray[binning.size()+1];
262 for(int i=0;i<binning.size();i++) {binningarray[i]=binning[i];}
263 TH1F *histo = new TH1F(m_histoname.c_str(),"",binning.size()-1,binningarray);
264 histo->Sumw2();
265
266 stringstream drawthis;
267 drawthis<<m_var<<">>tempdrawhisto";
268
269 for (unsigned int isample=0;isample<(this->collection).size();isample++) {
270 bool use_this_sample=false;
271 if(!(this->collection)[isample].is_active) continue; // skip inactive samples right away
272 if(((this->collection)[isample].is_data==m_is_data)&&(!do_only_selected_samples)) {
273 if(drawsignal==false&&(this->collection)[isample].is_signal==true) continue;
274 use_this_sample=true;
275 }
276 if(do_only_selected_samples&&this->do_sample(isample,onlyindex)) {
277 use_this_sample=true;
278 }
279 TH1F *tempdrawhisto = new TH1F("tempdrawhisto","tempdrawhisto",binning.size()-1,binningarray);
280 tempdrawhisto->Sumw2();
281 if(use_this_sample) {
282 if(Verbosity>0) dout << "[samplecollection::Draw] : Added contribution from sample " << (this->collection)[isample].samplename << endl;
283 (this->collection)[isample].events->Draw(drawthis.str().c_str(),(essentialcut&&Cut)*"weight");//this weight is based on PU etc. not XS
284 if(addoverunderflowbins) {
285 //now also adding the overflow & underflow bins:
286 tempdrawhisto->SetBinContent(tempdrawhisto->GetNbinsX(),tempdrawhisto->GetBinContent(tempdrawhisto->GetNbinsX()+1));
287 tempdrawhisto->SetBinError(tempdrawhisto->GetNbinsX(),TMath::Sqrt(tempdrawhisto->GetBinContent(tempdrawhisto->GetNbinsX())));
288 tempdrawhisto->SetBinContent(1,tempdrawhisto->GetBinContent(0));
289 tempdrawhisto->SetBinError(1,TMath::Sqrt(tempdrawhisto->GetBinContent(1)));
290 }
291
292 if(!(this->collection)[isample].is_data) tempdrawhisto->Scale(luminosity*((this->collection)[isample].weight));//weight applied here is XS & N(entries)
293 histo->Add(tempdrawhisto);
294 }
295 tempdrawhisto->Delete();
296 }//end of loop over isample
297 if(Verbosity>0) dout << "Histo has been filled and now contains " << histo->Integral() << " points (integral)" << endl;
298 histo->GetXaxis()->SetTitle(m_xlabel.c_str());
299 histo->GetYaxis()->SetTitle(m_ylabel.c_str());
300 histo->GetXaxis()->CenterTitle();
301 histo->GetYaxis()->CenterTitle();
302 if(do_only_selected_samples) histo->SetLineColor(this->GetColor(onlyindex[0]));
303 return histo;
304 }
305
306 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) {
307 if(Verbosity>0) dout << endl << endl;
308 if(Verbosity>0) dout << "-------------------------------------------------------------------------------------" << endl;
309 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;
310 if(HUSH==0) dout << "Drawing histo called " << m_histoname << "... " << endl;
311 bool do_only_selected_samples=false;
312 if(onlyindex.size()>0&&onlyindex[0]!=-1) {
313 if(Verbosity>0) {dout << "Requested to only draw sample corresponding to the following sample(s) : " << endl;}
314 for(int is=0;is<onlyindex.size();is++) {
315 if(Verbosity>0) dout << " - " << (this->collection)[onlyindex[is]].filename << " (sample index: " << onlyindex[is] << ")" << endl;
316 }
317 do_only_selected_samples=true;
318 }
319 if(onlyindex.size()==1&&onlyindex[0]==-1) {
320 do_only_selected_samples=true; // this is the special case when we request a non-existing sample - we shouldn't draw anything then.
321 onlyindex.clear();
322 }
323 stringstream h_histoname;
324 h_histoname<<"h_"<<m_histoname;
325 float binningarray[binningx.size()+1];
326 float binningyarray[binningy.size()+1];
327 for(int i=0;i<binningx.size();i++) {binningarray[i]=binningx[i];binningyarray[i]=binningy[i];}
328 TH2F *histo = new TH2F(m_histoname.c_str(),"",binningx.size()-1,binningarray,binningy.size(),binningyarray);
329 histo->Sumw2();
330
331 stringstream drawthis;
332 drawthis<<m_var<<">>tempdrawhisto";
333
334 for (unsigned int isample=0;isample<(this->collection).size();isample++) {
335 bool use_this_sample=false;
336 if(!(this->collection)[isample].is_active) continue; // skip inactive samples right away
337 if(((this->collection)[isample].is_data==m_is_data)&&(!do_only_selected_samples)) {
338 if(drawsignal==false&&(this->collection)[isample].is_signal==true) continue;
339 use_this_sample=true;
340 }
341 if(do_only_selected_samples&&this->do_sample(isample,onlyindex)) {
342 use_this_sample=true;
343 }
344 TH2F *tempdrawhisto = new TH2F("tempdrawhisto","tempdrawhisto",binningx.size()-1,binningarray,binningy.size()-1,binningyarray);
345 tempdrawhisto->Sumw2();
346 if(use_this_sample) {
347 if(Verbosity>0) dout << "[samplecollection::Draw] : Added contribution from sample " << (this->collection)[isample].samplename << endl;
348 (this->collection)[isample].events->Draw(drawthis.str().c_str(),(essentialcut&&Cut)*"weight");//this weight is based on PU etc. not XS
349 if(addoverunderflowbins) {
350 //now also adding the overflow & underflow bins:
351 tempdrawhisto->SetBinContent(tempdrawhisto->GetNbinsX(),tempdrawhisto->GetBinContent(tempdrawhisto->GetNbinsX()+1));
352 tempdrawhisto->SetBinError(tempdrawhisto->GetNbinsX(),TMath::Sqrt(tempdrawhisto->GetBinContent(tempdrawhisto->GetNbinsX())));
353 tempdrawhisto->SetBinContent(1,tempdrawhisto->GetBinContent(0));
354 tempdrawhisto->SetBinError(1,TMath::Sqrt(tempdrawhisto->GetBinContent(1)));
355 }
356
357 if(!(this->collection)[isample].is_data) tempdrawhisto->Scale(luminosity*((this->collection)[isample].weight));//weight applied here is XS & N(entries)
358 histo->Add(tempdrawhisto);
359 }
360 tempdrawhisto->Delete();
361 }//end of loop over isample
362 if(Verbosity>0) dout << "Histo has been filled and now contains " << histo->Integral() << " points (integral)" << endl;
363 histo->GetXaxis()->SetTitle(m_xlabel.c_str());
364 histo->GetYaxis()->SetTitle(m_ylabel.c_str());
365 histo->GetXaxis()->CenterTitle();
366 histo->GetYaxis()->CenterTitle();
367 if(do_only_selected_samples) histo->SetLineColor(this->GetColor(onlyindex[0]));
368 return histo;
369 }
370
371
372 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)
373 {
374 vector<float> binning;
375 for(int i=0;i<=m_nbins;i++)
376 {
377 binning.push_back(((float)(m_maxx-m_minx)/((float)m_nbins))*i+m_minx);
378 }
379
380 TH1F *histo = this->Draw(m_histoname,m_var, binning, m_xlabel, m_ylabel, Cut, m_is_data, luminosity, onlyindex,drawsignal);
381 return histo;
382 }
383
384 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) {
385 stringstream h_histoname;
386 h_histoname<<"h_"<<m_histoname;
387 THStack thestack("thestack",m_histoname.c_str());
388
389 stringstream drawthis;
390 drawthis<<m_var<<">>tempdrawhisto";
391
392 TH1F *histogroups[this->ngroups+1];
393 int bookedhistos[this->ngroups+1];
394 for(int ih=0;ih<=this->ngroups;ih++) bookedhistos[ih]=0;
395
396 float binningarray[binning.size()+1];
397 for(int i=0;i<binning.size();i++) {binningarray[i]=binning[i];}
398
399 for (unsigned int isample=0;isample<(this->collection).size();isample++) {
400 if(!drawsignal&&(this->collection)[isample].is_signal) continue;
401 if((this->collection)[isample].is_active&&(this->collection)[isample].is_data==m_is_data) {//fills mc if we want mc, else fills data.
402 TH1F *tempdrawhisto = new TH1F("tempdrawhisto","",binning.size()-1,binningarray);
403 (this->collection)[isample].events->Draw(drawthis.str().c_str(),(essentialcut&&Cut)*"weight");
404
405 if(addoverunderflowbins) {
406 //now also adding the overflow & underflow bins:
407 tempdrawhisto->SetBinContent(tempdrawhisto->GetNbinsX(),tempdrawhisto->GetBinContent(tempdrawhisto->GetNbinsX()+1));
408 tempdrawhisto->SetBinError(tempdrawhisto->GetNbinsX(),TMath::Sqrt(tempdrawhisto->GetBinContent(tempdrawhisto->GetNbinsX())));
409 tempdrawhisto->SetBinContent(1,tempdrawhisto->GetBinContent(0));
410 tempdrawhisto->SetBinError(1,TMath::Sqrt(tempdrawhisto->GetBinContent(1)));
411 }
412
413 if(!(this->collection)[isample].is_data) tempdrawhisto->Scale(luminosity*((this->collection)[isample].weight));
414 tempdrawhisto->SetFillColor(this->GetColor(isample));
415 if(bookedhistos[(this->collection)[isample].groupindex]==0) {
416 tempdrawhisto->SetName(GetNumericHistoName().c_str());
417 histogroups[(this->collection)[isample].groupindex]=(TH1F*)tempdrawhisto->Clone();
418 bookedhistos[(this->collection)[isample].groupindex]=1;
419 }
420 else
421 {
422 histogroups[(this->collection)[isample].groupindex]->Add(tempdrawhisto);
423 bookedhistos[(this->collection)[isample].groupindex]++;
424 }
425 tempdrawhisto->Delete();
426 }
427 }
428 vector<int> ordered_indices;
429 vector<float> ordered_integrals;
430
431 for(int ig=0;ig<=this->ngroups;ig++) {
432 if(bookedhistos[ig]>0) {
433 ordered_indices.push_back(ig);
434 ordered_integrals.push_back(histogroups[ig]->Integral());
435 }
436 }
437
438 /*
439 bubbleSort(ordered_integrals,ordered_indices);
440 // for(int index=ordered_indices.size()-1;index>=0;index--) {
441 for(int index=0;index<ordered_indices.size();index++) {
442 thestack.Add(histogroups[ordered_indices[index]]);
443 }
444 */
445 for(int index=0;index<ordered_indices.size();index++) {
446 thestack.Add(histogroups[ordered_indices[index]]);
447 }
448 return thestack;
449 }
450
451 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
452 drawsignal=false)
453 {
454 vector<float> binning;
455 for(int i=0;i<=m_nbins;i++)
456 {
457 binning.push_back(((float)(m_maxx-m_minx)/((float)m_nbins))*i+m_minx);
458 }
459 return this->DrawStack(m_histoname,m_var, binning, m_xlabel, m_ylabel, Cut, m_is_data, luminosity, drawsignal);
460 }
461
462
463 vector<int> samplecollection::FindSample(string what)
464 {
465 vector<int> hitcollection;
466 for(unsigned int isam=0;isam<(this->collection).size();isam++)
467 {
468 if(((this->collection)[isam].filename).find(what)!=string::npos) {
469 hitcollection.push_back(isam);
470 }
471 else {
472 }
473 }
474 if(hitcollection.size()==0) hitcollection.push_back(-1);
475 return hitcollection;
476 }
477
478 Color_t samplecollection::GetColor(string filename) {
479 vector<int> corresponding_samples = this->FindSample(filename);
480 if(corresponding_samples.size()>0) return this->GetColor(corresponding_samples[0]);
481 return kBlack;
482 }
483
484 Color_t samplecollection::GetColor(int sampleindex) {
485 return this->collection[sampleindex].samplecolor;
486 }
487
488 TLegend* samplecollection::allbglegend(string title, TH1F *data,float posx=0.65, float posy=0.60) {
489 // TLegend *leg = new TLegend(0.65,0.60,0.89,0.77);
490 TLegend *leg = new TLegend(posx,posy,0.89,0.89);
491 if(title!="") leg->SetHeader(title.c_str());
492 if(data->GetName()!="nothing") leg->AddEntry(data,"Data","p");
493 leg->SetFillColor(kWhite);
494 leg->SetBorderSize(0);
495 leg->SetLineColor(kWhite);
496
497 TH1F *fakehistos[(this->collection).size()];
498 bool donealready[(this->collection).size()];
499 for(int i=0;i<(this->collection).size();i++) donealready[i]=false;
500 for(int isample=0;isample<(this->collection).size();isample++) {
501 if((this->collection)[isample].is_data||(this->collection)[isample].is_signal) continue;
502
503 if(!donealready[(this->collection)[isample].groupindex]) {
504 fakehistos[(this->collection)[isample].groupindex] = new TH1F(GetNumericHistoName().c_str(),"",1,0,1);
505 fakehistos[(this->collection)[isample].groupindex]->Fill(1);
506 fakehistos[(this->collection)[isample].groupindex]->SetFillColor(this->GetColor(isample));
507 leg->AddEntry(fakehistos[(this->collection)[isample].groupindex],((this->collection)[isample].samplename).c_str(),"f");
508 donealready[(this->collection)[isample].groupindex]=true;
509 }
510 }
511 DrawPrelim();
512 leg->SetTextFont(42);
513 return leg;
514 }
515
516 TLegend* samplecollection::allbglegend(string title="",float posx=0.65, float posy=0.60) {
517 Int_t currlevel=gErrorIgnoreLevel;
518 gErrorIgnoreLevel=5000;
519 TH1F *blub = new TH1F("nothing","nothing",1,0,1);
520 gErrorIgnoreLevel=currlevel;//we know this possibly replaces a previous histo, but we don't care since it's fake anyway.
521 return this->allbglegend(title,blub,posx,posy);
522 }
523
524
525 void set_treename(string treen="events") {
526 dout << "Treename has been set to " << treen << endl;
527 if(treen=="PFevents"||treen=="events") treename=treen;
528 else write_error("sample::set_treename","Setting the treename failed as you provided an invalid tree name.");
529 }
530
531 vector<float> samplecollection::get_optimal_binsize(string variable, TCut cut,int nbins, float low, float high) {
532 TH1F *histo = this->Draw("histo",variable,5000,low,high, "finding_optimal_binsize", "events", cut,0,1000);
533 float eventsperbin=histo->Integral()/nbins;
534 vector<float> binning;
535 binning.push_back(high);
536 float runningsum=0;
537 for(int i=histo->GetNbinsX();i>0;i--) {
538 runningsum+=histo->GetBinContent(i);
539 if(TMath::Abs(runningsum-eventsperbin)<0.05*eventsperbin||runningsum>eventsperbin) {
540 binning.push_back(histo->GetBinLowEdge(i));
541 runningsum=0;
542 }
543 }
544 if(runningsum>0) binning.push_back(low);
545 for(int i=0;i<int(binning.size()/2);i++) {
546 float temp=binning[i];
547 binning[i]=binning[binning.size()-1-i];
548 binning[binning.size()-1-i]=temp;
549 }
550
551 return binning;
552
553 }
554
555 void samplecollection::PickUpFromThisFile(int isamp, string cut, vector<string> &output, vector<string> &pickupfile) {
556 int lumi,eventNum,runNum;
557 float jzb[30];
558 (this->collection)[isamp].events->SetBranchAddress("jzb",&jzb);
559 (this->collection)[isamp].events->SetBranchAddress("lumi",&runNum);
560 (this->collection)[isamp].events->SetBranchAddress("eventNum",&eventNum);
561 (this->collection)[isamp].events->SetBranchAddress("lumi",&lumi);
562 (this->collection)[isamp].events->SetBranchAddress("runNum",&runNum);
563
564 TTreeFormula *select = new TTreeFormula("select", cut.c_str()&&essentialcut, (this->collection)[isamp].events);
565 int npickedup=0;
566 for (Int_t entry = 0 ; entry < (this->collection)[isamp].events->GetEntries() ; entry++) {
567 (this->collection)[isamp].events->LoadTree(entry);
568 if (select->EvalInstance()) {
569 (this->collection)[isamp].events->GetEntry(entry);
570 dout << runNum << ":" << lumi << ":" << eventNum << endl;
571 npickedup++;
572 }
573 }
574 dout << "Printed out a total of " << npickedup << " events" << endl;
575 }
576
577
578
579 void samplecollection::PickUpEvents(string cut) {
580 vector<string> output;
581 vector<string> pickupfile;
582 for (int isamp=0;isamp<this->collection.size();isamp++)
583 {
584 if((this->collection)[isamp].is_data) {
585 //we have a data sample !
586 this->PickUpFromThisFile(isamp,cut,output,pickupfile);
587 }
588 }
589 //do something with output and of course the pickup file!
590 }
591
592
593 void switch_overunderflow(bool newpos=false) {
594 addoverunderflowbins=newpos;
595 }