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Revision: 1.1
Committed: Mon Jan 30 14:46:26 2012 UTC (13 years, 3 months ago) by buchmann
Content type: text/plain
Branch: MAIN
Log Message:
Initial commit of Ice Cream versions

File Contents

# User Rev Content
1 buchmann 1.1 #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     long 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,long 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, long 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->groupindex=m_groupindex;
73     this->is_active=true;
74     this->samplecolor=mycolor;
75     if(!doesROOTFileExist(this->filename)) {
76     stringstream message;
77     message << "The " << write_mc_or_data(is_data) << " sample " << this->samplename << " is invalid because the associated file path, " << this->filename << " is incorrect.";
78     write_error("Sample::Sample",message.str());
79     this->is_active=false;
80     }
81    
82     if(doesROOTFileExist(this->filename)) {
83     //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)
84     Int_t currlevel=gErrorIgnoreLevel;
85     gErrorIgnoreLevel=5000;
86     this->tfile = new TFile(m_filename.c_str());
87     gErrorIgnoreLevel=currlevel;
88     this->events=(TTree*)(this->tfile)->Get(treename.c_str());
89     if(Verbosity>0) dout << "The " << write_mc_or_data(is_data) << " file " << this->filename << " has been added successfully to the list of samples. " << endl;
90     long long measured_nevents=(this->events)->GetEntries();
91     if(((this->Nentries>1)||(this->Nentries==0))&measured_nevents!=this->Nentries) {
92     //special cases: m_Nentries=1 : we want to give each event the full weight (->scans!)
93     // m_Nentries=0: detect the number of events and set the nevents automatically
94    
95     stringstream warning;
96     warning << "Detected incorrect number of events in sample initialization of sample " << m_filename << " (detected Nevents: " << measured_nevents << " , definition claims: " << this->Nentries << "; will use measured number of events. If you want to use this algorithm to set the number of events anyway, set the number of events to 0.";
97     if(m_Nentries>1) write_warning(__FUNCTION__,warning.str());
98     this->Nentries=measured_nevents;
99     }
100     this->weight=(xs/(float)Nentries);
101     }
102     else {
103     this->is_active=false;
104     }
105    
106     }
107    
108     void sample::closeFile()
109     {
110     if(doesROOTFileExist(this->filename)) {
111     (this->tfile)->Close();
112     }
113     else {
114     dout << "SAMPLE " << this->samplename << " cannot be closed as the underlying file (" << this->filename << ") does not exist!" << endl;
115     this->is_active=false;
116     }
117     }
118    
119     bool doesROOTFileExist(string filename)
120     {
121     //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)
122     Int_t currlevel=gErrorIgnoreLevel;
123     gErrorIgnoreLevel=5000;
124     TFile *f = new TFile(filename.c_str());
125    
126     if (f->IsZombie()) {
127     dout << "Error opening file" << filename << endl;
128     return 0;
129     }
130     f->Close();
131     gErrorIgnoreLevel=currlevel;
132     return 1;
133     }
134     //********************************************************
135    
136     TCut essentialcut("mll>0");
137     // The following cut (cutWeight) will reweight all the events: use "weight" to correct MC for pileUP, "1.0" otherwise
138     TCut cutWeight("weight");
139    
140     void setessentialcut(TCut ess) {
141     essentialcut=ess;
142     }
143    
144     class samplecollection
145     {
146     public:
147     string name;
148     vector<sample> collection;
149     int nsamples;
150     int ndatasamples;
151     int nmcsamples;
152     int ngroups;
153    
154     samplecollection(string m_name);
155     void AddSample(string m_filename,string m_samplename,long m_Nentries, float m_xs,bool is_data, bool m_is_signal, int groupindex, Color_t color);
156    
157     //vector quantities
158     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);
159     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);
160    
161     //minx,maxs quantities
162     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);
163     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);
164    
165     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);
166    
167     vector<float> get_optimal_binsize(string variable, TCut cut,int nbins, float low, float high);
168    
169     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);
170     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);
171     vector<int> FindSample(string what);
172     void ListSamples();
173     bool do_sample(int thissample, vector<int> &selected_samples);
174     Color_t GetColor(string filename);
175     Color_t GetColor(int sampleindex);
176    
177     TLegend* allbglegend(string title,float x, float y);
178     TLegend* allbglegend(string title, TH1F *data, float x, float y);
179    
180     void PickUpFromThisFile(int isamp, string cut, vector<string> &output, vector<string> &pickupfile);
181     void PickUpEvents(string cut);
182     string find_units(string&);
183    
184     void RemoveLastSample();
185     };
186    
187     samplecollection::samplecollection(string m_name)
188     {
189     this->name=m_name;
190     if(Verbosity>0) dout << "Initiated sample collection " << this->name << " " << endl;
191     }
192    
193     void samplecollection::ListSamples()
194     {
195     dout << "---------------------------------------------------------------------------------------------------" << endl;
196     dout << "Listing all " << this->nsamples << " sample(s) of the sample collection called " << this->name << " : " << endl;
197     if(this->ndatasamples>0) {
198     dout << "Data sample(s): " << endl;
199     for (int isamp=0;isamp<this->collection.size();isamp++)
200     {
201     if((this->collection)[isamp].is_data) dout << " - " << (this->collection)[isamp].samplename << " from " << (this->collection)[isamp].filename << endl;
202     }
203     }
204     if(this->nmcsamples>0) {
205     dout << "MC sample(s): " << endl;
206     for (int isamp=0;isamp<this->collection.size();isamp++)
207     {
208     if(!(this->collection)[isamp].is_data) dout << " - " << (this->collection)[isamp].samplename << " from " << (this->collection)[isamp].filename << endl;
209     }
210     }
211     dout << "---------------------------------------------------------------------------------------------------" << endl;
212     }
213    
214     void samplecollection::AddSample(string m_filename,string m_samplename,long m_Nentries, float m_xs,bool is_data, bool m_is_signal, int groupindex, Color_t newcolor)
215     {
216     sample NewSample(m_filename,m_samplename,m_Nentries,m_xs,is_data,m_is_signal,groupindex,newcolor);
217     (this->collection).push_back(NewSample);
218     if((this->collection).size()==1) {
219     this->nmcsamples=0;
220     this->ndatasamples=0;
221     this->nsamples=0;
222     this->ngroups=0;
223     }
224     if(groupindex>this->ngroups) this->ngroups=groupindex;
225     if(is_data) this->ndatasamples++;
226     else this->nmcsamples++;
227     this->nsamples=this->collection.size();
228     }
229    
230     bool samplecollection::do_sample(int thissample, vector<int> &selected_samples)
231     {
232     bool drawit=false;
233     for(int isel=0;isel<selected_samples.size();isel++)
234     {
235     if(selected_samples[isel]==thissample) {
236     drawit=true;
237     break;
238     }
239     }
240     return drawit;
241     }
242    
243     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)
244     {
245     vector<int> emptyvector;
246     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);
247     return histo;
248     }
249    
250     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)
251     {
252     vector<int> emptyvector;
253     TH1F *histo = this->Draw(m_histoname,m_var, binning, m_xlabel, m_ylabel, Cut, m_is_data, luminosity,emptyvector,drawsignal);
254     return histo;
255     }
256    
257     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) {
258     if(Verbosity>0) dout << endl << endl;
259     if(Verbosity>0) dout << "-------------------------------------------------------------------------------------" << endl;
260     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;
261     if(HUSH==0) dout << "Drawing histo called " << m_histoname << "... " << endl;
262     bool do_only_selected_samples=false;
263     if(onlyindex.size()>0&&onlyindex[0]!=-1) {
264     if(Verbosity>0) {dout << "Requested to only draw sample corresponding to the following sample(s) : " << endl;}
265     for(int is=0;is<onlyindex.size();is++) {
266     if(Verbosity>0) dout << " - " << (this->collection)[onlyindex[is]].filename << " (sample index: " << onlyindex[is] << ")" << endl;
267     }
268     do_only_selected_samples=true;
269     }
270     if(onlyindex.size()==1&&onlyindex[0]==-1) {
271     do_only_selected_samples=true; // this is the special case when we request a non-existing sample - we shouldn't draw anything then.
272     onlyindex.clear();
273     }
274     stringstream h_histoname;
275     h_histoname<<"h_"<<m_histoname;
276     float binningarray[binning.size()+1];
277     for(int i=0;i<binning.size();i++) {binningarray[i]=binning[i];}
278     TH1F *histo = new TH1F(m_histoname.c_str(),"",binning.size()-1,binningarray);
279     histo->Sumw2();
280    
281     stringstream drawthis;
282     drawthis<<m_var<<">>tempdrawhisto";
283    
284     for (unsigned int isample=0;isample<(this->collection).size();isample++) {
285     bool use_this_sample=false;
286     if(!(this->collection)[isample].is_active) continue; // skip inactive samples right away
287     if(((this->collection)[isample].is_data==m_is_data)&&(!do_only_selected_samples)) {
288     if(drawsignal==false&&(this->collection)[isample].is_signal==true) continue;
289     use_this_sample=true;
290     }
291     if(do_only_selected_samples&&this->do_sample(isample,onlyindex)) {
292     use_this_sample=true;
293     }
294     TH1F *tempdrawhisto = new TH1F("tempdrawhisto","tempdrawhisto",binning.size()-1,binningarray);
295     tempdrawhisto->Sumw2();
296     if(use_this_sample) {
297     if(Verbosity>0) dout << "[samplecollection::Draw] : Added contribution from sample " << (this->collection)[isample].samplename << endl;
298     (this->collection)[isample].events->Draw(drawthis.str().c_str(),(essentialcut&&Cut)*cutWeight);//this weight is based on PU etc. not XS
299     if(addoverunderflowbins) {
300     //now also adding the overflow & underflow bins:
301     tempdrawhisto->SetBinContent(tempdrawhisto->GetNbinsX(),tempdrawhisto->GetBinContent(tempdrawhisto->GetNbinsX()+1)+tempdrawhisto->GetBinContent(tempdrawhisto->GetNbinsX()));
302     tempdrawhisto->SetBinError(tempdrawhisto->GetNbinsX(),TMath::Sqrt(tempdrawhisto->GetBinContent(tempdrawhisto->GetNbinsX())));
303     tempdrawhisto->SetBinContent(1,tempdrawhisto->GetBinContent(0)+tempdrawhisto->GetBinContent(1));
304     tempdrawhisto->SetBinError(1,TMath::Sqrt(tempdrawhisto->GetBinContent(1)));
305     }
306    
307     if(!(this->collection)[isample].is_data) tempdrawhisto->Scale(luminosity*((this->collection)[isample].weight));//weight applied here is XS & N(entries)
308     histo->Add(tempdrawhisto);
309     }
310     tempdrawhisto->Delete();
311     }//end of loop over isample
312     if(Verbosity>0) dout << "Histo has been filled and now contains " << histo->Integral() << " points (integral)" << endl;
313     histo->GetXaxis()->SetTitle(m_xlabel.c_str());
314     // Try to add bin width information: look for units in m_xlabel
315     string units = find_units(m_xlabel);
316     if ( units.length()>0 ) {
317     stringstream ylabel;
318     ylabel << m_ylabel << " / " << histo->GetBinWidth(1) << " " << units;
319     histo->GetYaxis()->SetTitle( ylabel.str().c_str() );
320     } else {
321     histo->GetYaxis()->SetTitle(m_ylabel.c_str());
322     }
323     histo->GetXaxis()->CenterTitle();
324     histo->GetYaxis()->CenterTitle();
325     if(do_only_selected_samples) histo->SetLineColor(this->GetColor(onlyindex[0]));
326     return histo;
327     }
328    
329     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) {
330     if(Verbosity>0) dout << endl << endl;
331     if(Verbosity>0) dout << "-------------------------------------------------------------------------------------" << endl;
332     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;
333     if(HUSH==0) dout << "Drawing histo called " << m_histoname << "... " << endl;
334     bool do_only_selected_samples=false;
335     if(onlyindex.size()>0&&onlyindex[0]!=-1) {
336     if(Verbosity>0) {dout << "Requested to only draw sample corresponding to the following sample(s) : " << endl;}
337     for(int is=0;is<onlyindex.size();is++) {
338     if(Verbosity>0) dout << " - " << (this->collection)[onlyindex[is]].filename << " (sample index: " << onlyindex[is] << ")" << endl;
339     }
340     do_only_selected_samples=true;
341     }
342     if(onlyindex.size()==1&&onlyindex[0]==-1) {
343     do_only_selected_samples=true; // this is the special case when we request a non-existing sample - we shouldn't draw anything then.
344     onlyindex.clear();
345     }
346     stringstream h_histoname;
347     h_histoname<<"h_"<<m_histoname;
348     float binningarray[binningx.size()+1];
349     float binningyarray[binningy.size()+1];
350     for(int i=0;i<binningx.size();i++) {binningarray[i]=binningx[i];binningyarray[i]=binningy[i];}
351     TH2F *histo = new TH2F(m_histoname.c_str(),"",binningx.size()-1,binningarray,binningy.size(),binningyarray);
352     histo->Sumw2();
353    
354     stringstream drawthis;
355     drawthis<<m_var<<">>tempdrawhisto";
356    
357     for (unsigned int isample=0;isample<(this->collection).size();isample++) {
358     bool use_this_sample=false;
359     if(!(this->collection)[isample].is_active) continue; // skip inactive samples right away
360     if(((this->collection)[isample].is_data==m_is_data)&&(!do_only_selected_samples)) {
361     if(drawsignal==false&&(this->collection)[isample].is_signal==true) continue;
362     use_this_sample=true;
363     }
364     if(do_only_selected_samples&&this->do_sample(isample,onlyindex)) {
365     use_this_sample=true;
366     }
367     TH2F *tempdrawhisto = new TH2F("tempdrawhisto","tempdrawhisto",binningx.size()-1,binningarray,binningy.size()-1,binningyarray);
368     tempdrawhisto->Sumw2();
369     if(use_this_sample) {
370     if(Verbosity>0) dout << "[samplecollection::Draw] : Added contribution from sample " << (this->collection)[isample].samplename << endl;
371     (this->collection)[isample].events->Draw(drawthis.str().c_str(),(essentialcut&&Cut)*cutWeight);//this weight is based on PU etc. not XS
372     if(addoverunderflowbins) {
373     //now also adding the overflow & underflow bins:
374     tempdrawhisto->SetBinContent(tempdrawhisto->GetNbinsX(),tempdrawhisto->GetBinContent(tempdrawhisto->GetNbinsX()+1)+tempdrawhisto->GetBinContent(tempdrawhisto->GetNbinsX()));
375     tempdrawhisto->SetBinError(tempdrawhisto->GetNbinsX(),TMath::Sqrt(tempdrawhisto->GetBinContent(tempdrawhisto->GetNbinsX())));
376     tempdrawhisto->SetBinContent(1,tempdrawhisto->GetBinContent(0)+tempdrawhisto->GetBinContent(1));
377     tempdrawhisto->SetBinError(1,TMath::Sqrt(tempdrawhisto->GetBinContent(1)));
378     }
379    
380     if(!(this->collection)[isample].is_data) tempdrawhisto->Scale(luminosity*((this->collection)[isample].weight));//weight applied here is XS & N(entries)
381     histo->Add(tempdrawhisto);
382     }
383     tempdrawhisto->Delete();
384     }//end of loop over isample
385     if(Verbosity>0) dout << "Histo has been filled and now contains " << histo->Integral() << " points (integral)" << endl;
386     histo->GetXaxis()->SetTitle(m_xlabel.c_str());
387     histo->GetYaxis()->SetTitle(m_ylabel.c_str());
388     histo->GetXaxis()->CenterTitle();
389     histo->GetYaxis()->CenterTitle();
390     if(do_only_selected_samples) histo->SetLineColor(this->GetColor(onlyindex[0]));
391     return histo;
392     }
393    
394    
395     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)
396     {
397     vector<float> binning;
398     for(int i=0;i<=m_nbins;i++)
399     {
400     binning.push_back(((float)(m_maxx-m_minx)/((float)m_nbins))*i+m_minx);
401     }
402    
403     TH1F *histo = this->Draw(m_histoname,m_var, binning, m_xlabel, m_ylabel, Cut, m_is_data, luminosity, onlyindex,drawsignal);
404     return histo;
405     }
406    
407     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) {
408     stringstream h_histoname;
409     h_histoname<<"h_"<<m_histoname;
410     THStack thestack("thestack",m_histoname.c_str());
411    
412     stringstream drawthis;
413     drawthis<<m_var<<">>tempdrawhisto";
414    
415     TH1F *histogroups[this->ngroups+1];
416     int bookedhistos[this->ngroups+1];
417     for(int ih=0;ih<=this->ngroups;ih++) bookedhistos[ih]=0;
418    
419     float binningarray[binning.size()+1];
420     for(int i=0;i<binning.size();i++) {binningarray[i]=binning[i];}
421    
422     for (unsigned int isample=0;isample<(this->collection).size();isample++) {
423     if(!drawsignal&&(this->collection)[isample].is_signal) continue;
424     if((this->collection)[isample].is_active&&(this->collection)[isample].is_data==m_is_data) {//fills mc if we want mc, else fills data.
425     TH1F *tempdrawhisto = new TH1F("tempdrawhisto","",binning.size()-1,binningarray);
426     (this->collection)[isample].events->Draw(drawthis.str().c_str(),(essentialcut&&Cut)*cutWeight);
427    
428     if(addoverunderflowbins) {
429     //now also adding the overflow & underflow bins:
430     tempdrawhisto->SetBinContent(tempdrawhisto->GetNbinsX(),tempdrawhisto->GetBinContent(tempdrawhisto->GetNbinsX()+1)+tempdrawhisto->GetBinContent(tempdrawhisto->GetNbinsX()));
431     // tempdrawhisto->SetBinError(tempdrawhisto->GetNbinsX(),TMath::Sqrt(tempdrawhisto->GetBinContent(tempdrawhisto->GetNbinsX()))); // errors not necessary for stack!
432     tempdrawhisto->SetBinContent(1,tempdrawhisto->GetBinContent(0)+tempdrawhisto->GetBinContent(1));
433     // tempdrawhisto->SetBinError(1,TMath::Sqrt(tempdrawhisto->GetBinContent(1))); // errors not necessary for stack!
434     }
435    
436     if(!(this->collection)[isample].is_data) tempdrawhisto->Scale(luminosity*((this->collection)[isample].weight));
437     tempdrawhisto->SetFillColor(this->GetColor(isample));
438     if(bookedhistos[(this->collection)[isample].groupindex]==0) {
439     tempdrawhisto->SetName(GetNumericHistoName().c_str());
440     histogroups[(this->collection)[isample].groupindex]=(TH1F*)tempdrawhisto->Clone();
441     bookedhistos[(this->collection)[isample].groupindex]=1;
442     }
443     else
444     {
445     histogroups[(this->collection)[isample].groupindex]->Add(tempdrawhisto);
446     bookedhistos[(this->collection)[isample].groupindex]++;
447     }
448     tempdrawhisto->Delete();
449     }
450     }
451     vector<int> ordered_indices;
452     vector<float> ordered_integrals;
453    
454     for(int ig=0;ig<=this->ngroups;ig++) {
455     if(bookedhistos[ig]>0) {
456     ordered_indices.push_back(ig);
457     ordered_integrals.push_back(histogroups[ig]->Integral());
458     }
459     }
460    
461     /*
462     bubbleSort(ordered_integrals,ordered_indices);
463     // for(int index=ordered_indices.size()-1;index>=0;index--) {
464     for(int index=0;index<ordered_indices.size();index++) {
465     thestack.Add(histogroups[ordered_indices[index]]);
466     }
467     */
468     for(int index=0;index<ordered_indices.size();index++) {
469     thestack.Add(histogroups[ordered_indices[index]]);
470     }
471     return thestack;
472     }
473    
474     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
475     drawsignal=false)
476     {
477     vector<float> binning;
478     for(int i=0;i<=m_nbins;i++)
479     {
480     binning.push_back(((float)(m_maxx-m_minx)/((float)m_nbins))*i+m_minx);
481     }
482     return this->DrawStack(m_histoname,m_var, binning, m_xlabel, m_ylabel, Cut, m_is_data, luminosity, drawsignal);
483     }
484    
485    
486     vector<int> samplecollection::FindSample(string what)
487     {
488     vector<int> hitcollection;
489     for(unsigned int isam=0;isam<(this->collection).size();isam++)
490     {
491     if(((this->collection)[isam].filename).find(what)!=string::npos) {
492     hitcollection.push_back(isam);
493     } else {
494     }
495     }
496     if(hitcollection.size()==0) {
497     hitcollection.push_back(-1);
498     write_warning(__FUNCTION__,"Couldn't find sample "+string(what)+" using sample collection \""+string(this->name)+"\"");
499     }
500     return hitcollection;
501     }
502    
503     Color_t samplecollection::GetColor(string filename) {
504     vector<int> corresponding_samples = this->FindSample(filename);
505     if(corresponding_samples.size()>0) return this->GetColor(corresponding_samples[0]);
506     return kBlack;
507     }
508    
509     Color_t samplecollection::GetColor(int sampleindex) {
510     return this->collection[sampleindex].samplecolor;
511     }
512    
513     TLegend* samplecollection::allbglegend(string title, TH1F *data,float posx=0.65, float posy=0.60) {
514     // TLegend *leg = new TLegend(0.65,0.60,0.89,0.77);
515     TLegend *leg = new TLegend(posx,posy,0.89,0.89);
516     if(title!="") leg->SetHeader(title.c_str());
517     if(data->GetName()!="nothing") leg->AddEntry(data,"Data","p");
518     leg->SetFillColor(kWhite);
519     leg->SetBorderSize(0);
520     leg->SetLineColor(kWhite);
521    
522     TH1F *fakehistos[(this->collection).size()];
523     bool donealready[(this->collection).size()];
524     for(int i=0;i<(this->collection).size();i++) donealready[i]=false;
525     for(int isample=0;isample<(this->collection).size();isample++) {
526     if((this->collection)[isample].is_data||(this->collection)[isample].is_signal) continue;
527    
528     if(!donealready[(this->collection)[isample].groupindex]) {
529     fakehistos[(this->collection)[isample].groupindex] = new TH1F(GetNumericHistoName().c_str(),"",1,0,1);
530     fakehistos[(this->collection)[isample].groupindex]->Fill(1);
531     fakehistos[(this->collection)[isample].groupindex]->SetFillColor(this->GetColor(isample));
532     leg->AddEntry(fakehistos[(this->collection)[isample].groupindex],((this->collection)[isample].samplename).c_str(),"f");
533     donealready[(this->collection)[isample].groupindex]=true;
534     }
535     }
536     DrawPrelim();
537     leg->SetTextFont(42);
538     return leg;
539     }
540    
541     TLegend* samplecollection::allbglegend(string title="",float posx=0.65, float posy=0.60) {
542     Int_t currlevel=gErrorIgnoreLevel;
543     gErrorIgnoreLevel=5000;
544     TH1F *blub = new TH1F("nothing","nothing",1,0,1);
545     gErrorIgnoreLevel=currlevel;//we know this possibly replaces a previous histo, but we don't care since it's fake anyway.
546     return this->allbglegend(title,blub,posx,posy);
547     }
548    
549    
550     void set_treename(string treen="events") {
551     dout << "Treename has been set to " << treen << endl;
552     if(treen=="PFevents"||treen=="events") treename=treen;
553     else write_error("sample::set_treename","Setting the treename failed as you provided an invalid tree name.");
554     }
555    
556     vector<float> samplecollection::get_optimal_binsize(string variable, TCut cut,int nbins, float low, float high) {
557     TH1F *histo = this->Draw("histo",variable,5000,low,high, "finding_optimal_binsize", "events", cut,0,1000);
558     float eventsperbin=histo->Integral()/nbins;
559     vector<float> binning;
560     binning.push_back(high);
561     float runningsum=0;
562     for(int i=histo->GetNbinsX();i>0;i--) {
563     runningsum+=histo->GetBinContent(i);
564     if(TMath::Abs(runningsum-eventsperbin)<0.05*eventsperbin||runningsum>eventsperbin) {
565     binning.push_back(histo->GetBinLowEdge(i));
566     runningsum=0;
567     }
568     }
569     if(runningsum>0) binning.push_back(low);
570     for(int i=0;i<int(binning.size()/2);i++) {
571     float temp=binning[i];
572     binning[i]=binning[binning.size()-1-i];
573     binning[binning.size()-1-i]=temp;
574     }
575    
576     return binning;
577    
578     }
579    
580     void samplecollection::PickUpFromThisFile(int isamp, string cut, vector<string> &output, vector<string> &pickupfile) {
581     int lumi,eventNum,runNum;
582     float jzb[30];
583     (this->collection)[isamp].events->SetBranchAddress("jzb",&jzb);
584     (this->collection)[isamp].events->SetBranchAddress("lumi",&runNum);
585     (this->collection)[isamp].events->SetBranchAddress("eventNum",&eventNum);
586     (this->collection)[isamp].events->SetBranchAddress("lumi",&lumi);
587     (this->collection)[isamp].events->SetBranchAddress("runNum",&runNum);
588    
589    
590     TTreeFormula *select = new TTreeFormula("select", cut.c_str()&&essentialcut, (this->collection)[isamp].events);
591     int npickedup=0;
592     for (Int_t entry = 0 ; entry < (this->collection)[isamp].events->GetEntries() ; entry++) {
593     (this->collection)[isamp].events->LoadTree(entry);
594     if (select->EvalInstance()) {
595     (this->collection)[isamp].events->GetEntry(entry);
596     dout << runNum << ":" << lumi << ":" << eventNum << endl;
597     npickedup++;
598     }
599     }
600     dout << "Printed out a total of " << npickedup << " events" << endl;
601     }
602    
603    
604    
605     void samplecollection::PickUpEvents(string cut) {
606     vector<string> output;
607     vector<string> pickupfile;
608     for (int isamp=0;isamp<this->collection.size();isamp++)
609     {
610     if((this->collection)[isamp].is_data) {
611     //we have a data sample !
612     this->PickUpFromThisFile(isamp,cut,output,pickupfile);
613     }
614     }
615     //do something with output and of course the pickup file!
616     }
617    
618     //________________________________________________________________________________________
619     // Find units from histogram x-label (looks for '[...]')
620     string samplecollection::find_units(string& xlabel) {
621    
622     string units;
623     size_t pos1 = xlabel.find("[");
624     if ( pos1 != string::npos ) {
625     size_t pos2 = xlabel.find("]");
626     units = xlabel.substr(pos1+1,pos2-pos1-1);
627     }// else {
628     // size_t pos1 = xlabel.find("(");
629     // if ( pos1 != string::npos ) {
630     // size_t pos2 = xlabel.find(")");
631     // units = xlabel.substr(pos1+1,pos2-pos1-1);
632     // }
633     // }
634     return units;
635    
636     }
637    
638     void samplecollection::RemoveLastSample() {
639     dout << "Removing last sample: " << ((this->collection)[(this->collection).size()-1]).filename << std::endl;
640     if(((this->collection)[(this->collection).size()-1]).is_data) this->ndatasamples--;
641     else this->nmcsamples--;
642     this->nsamples--;
643     ((this->collection)[(this->collection).size()-1]).closeFile();
644     (this->collection).pop_back();
645     }
646    
647     void switch_overunderflow(bool newpos=false) {
648     addoverunderflowbins=newpos;
649     }
650    
651