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Revision: 1.25
Committed: Thu Jan 24 08:20:00 2013 UTC (12 years, 3 months ago) by buchmann
Content type: text/plain
Branch: MAIN
Changes since 1.24: +1 -4 lines
Log Message:
Removed commented out code for legends, and made cleaned up cleanup functions

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 buchmann 1.9 float weightrenormalization;
49 buchmann 1.1 int groupindex;
50     Color_t samplecolor;
51    
52     TFile *tfile;
53     TTree *events;
54    
55     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);
56 buchmann 1.21 string ExtractVersion(string FullVersionString);
57 buchmann 1.1 void closeFile();
58     };
59    
60     string write_mc_or_data(bool is_data)
61     {
62     if(is_data) return "data";
63     return "MC";
64     }
65    
66 buchmann 1.21 string sample::ExtractVersion(string FullVersionString) {
67     string Result=FullVersionString.substr(FullVersionString.find(" ")+1,FullVersionString.length());
68     Result=Result.substr(0,Result.find(" "));
69     return Result;
70     }
71    
72 buchmann 1.1 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)
73     {
74     this->filename=m_filename;
75     this->samplename=m_samplename;
76     this->Nentries=m_Nentries;
77     this->xs=m_xs;
78     this->is_data=m_is_data;
79     this->is_signal=m_is_signal;
80     this->groupindex=m_groupindex;
81     this->is_active=true;
82     this->samplecolor=mycolor;
83 buchmann 1.9 this->weightrenormalization=1.0;
84 buchmann 1.1 if(!doesROOTFileExist(this->filename)) {
85     stringstream message;
86     message << "The " << write_mc_or_data(is_data) << " sample " << this->samplename << " is invalid because the associated file path, " << this->filename << " is incorrect.";
87     write_error("Sample::Sample",message.str());
88     this->is_active=false;
89     }
90    
91     if(doesROOTFileExist(this->filename)) {
92     //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)
93 buchmann 1.18 // Int_t currlevel=gErrorIgnoreLevel;
94     // gErrorIgnoreLevel=5000;
95 buchmann 1.1 this->tfile = new TFile(m_filename.c_str());
96 buchmann 1.18 // gErrorIgnoreLevel=currlevel;
97 buchmann 1.1 this->events=(TTree*)(this->tfile)->Get(treename.c_str());
98     if(Verbosity>0) dout << "The " << write_mc_or_data(is_data) << " file " << this->filename << " has been added successfully to the list of samples. " << endl;
99 buchmann 1.7 long long measured_nevents=(long)1;
100     TH1F *weight_histo = (TH1F*)(this->tfile)->Get("weight_histo");
101     float average_weight = 1.0;
102     if(weight_histo) {
103 buchmann 1.20 //average_weight = weight_histo->Integral()/weight_histo->GetEntries();
104 buchmann 1.7 measured_nevents = (long)weight_histo->GetEntries();
105     } else {
106     measured_nevents=(this->events)->GetEntries();
107     }
108    
109 fronga 1.11 if(((this->Nentries>1)||(this->Nentries==0))&&measured_nevents!=this->Nentries) {
110 buchmann 1.1 //special cases: m_Nentries=1 : we want to give each event the full weight (->scans!)
111     // m_Nentries=0: detect the number of events and set the nevents automatically
112 fronga 1.11 // m_Nentries<0: set manually (see below)
113 buchmann 1.1
114     stringstream warning;
115     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.";
116     if(m_Nentries>1) write_warning(__FUNCTION__,warning.str());
117     this->Nentries=measured_nevents;
118 fronga 1.11 } else if ( this->Nentries<0 ) {
119     this->Nentries = -this->Nentries;
120     }
121     if ( average_weight>0 ) {
122     this->weight=(xs/(float)Nentries)/average_weight;
123     this->weightrenormalization=(1.0/average_weight);
124     } else {
125 buchmann 1.12 if(average_weight>0) {
126     this->weight=(xs/(float)Nentries)/average_weight;
127     this->weightrenormalization=(1.0/average_weight);
128     } else {
129     this->weight = (xs/(float)Nentries);
130     this->weightrenormalization=1;
131     }
132 buchmann 1.1 }
133 buchmann 1.21
134 buchmann 1.1 }
135     else {
136     this->is_active=false;
137     }
138    
139     }
140    
141     void sample::closeFile()
142     {
143     if(doesROOTFileExist(this->filename)) {
144     (this->tfile)->Close();
145     }
146     else {
147     dout << "SAMPLE " << this->samplename << " cannot be closed as the underlying file (" << this->filename << ") does not exist!" << endl;
148     this->is_active=false;
149     }
150     }
151    
152     bool doesROOTFileExist(string filename)
153     {
154     //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)
155 buchmann 1.18 // Int_t currlevel=gErrorIgnoreLevel;
156     // gErrorIgnoreLevel=5000;
157 buchmann 1.1 TFile *f = new TFile(filename.c_str());
158    
159     if (f->IsZombie()) {
160     dout << "Error opening file" << filename << endl;
161     return 0;
162     }
163     f->Close();
164 buchmann 1.18 // gErrorIgnoreLevel=currlevel;
165 buchmann 1.1 return 1;
166     }
167     //********************************************************
168    
169     TCut essentialcut("mll>0");
170     // The following cut (cutWeight) will reweight all the events: use "weight" to correct MC for pileUP, "1.0" otherwise
171 buchmann 1.7 TCut cutWeight("weight");
172 fronga 1.11 //TCut cutWeight("(weight*(((id1==id2&&id1==0)*1.2)+((id1==id2&&id1==1)/1.2)+(id1!=id2)))");
173 buchmann 1.1
174     void setessentialcut(TCut ess) {
175     essentialcut=ess;
176     }
177    
178     class samplecollection
179     {
180     public:
181     string name;
182     vector<sample> collection;
183     int nsamples;
184     int ndatasamples;
185     int nmcsamples;
186     int ngroups;
187    
188     samplecollection(string m_name);
189     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);
190    
191     //vector quantities
192     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);
193     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);
194    
195     //minx,maxs quantities
196     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);
197     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);
198    
199     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);
200    
201     vector<float> get_optimal_binsize(string variable, TCut cut,int nbins, float low, float high);
202    
203     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);
204     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);
205     vector<int> FindSample(string what);
206 buchmann 1.3 vector<int> FindSampleBySampleName(string what);
207 buchmann 1.1 void ListSamples();
208     bool do_sample(int thissample, vector<int> &selected_samples);
209     Color_t GetColor(string filename);
210     Color_t GetColor(int sampleindex);
211    
212     TLegend* allbglegend(string title,float x, float y);
213     TLegend* allbglegend(string title, TH1F *data, float x, float y);
214    
215     void PickUpFromThisFile(int isamp, string cut, vector<string> &output, vector<string> &pickupfile);
216     void PickUpEvents(string cut);
217     string find_units(string&);
218    
219     void RemoveLastSample();
220     };
221    
222     samplecollection::samplecollection(string m_name)
223     {
224     this->name=m_name;
225     if(Verbosity>0) dout << "Initiated sample collection " << this->name << " " << endl;
226     }
227    
228     void samplecollection::ListSamples()
229     {
230     dout << "---------------------------------------------------------------------------------------------------" << endl;
231     dout << "Listing all " << this->nsamples << " sample(s) of the sample collection called " << this->name << " : " << endl;
232     if(this->ndatasamples>0) {
233     dout << "Data sample(s): " << endl;
234 buchmann 1.4 for (int isamp=0;isamp<(int)this->collection.size();isamp++)
235 buchmann 1.1 {
236     if((this->collection)[isamp].is_data) dout << " - " << (this->collection)[isamp].samplename << " from " << (this->collection)[isamp].filename << endl;
237     }
238     }
239     if(this->nmcsamples>0) {
240     dout << "MC sample(s): " << endl;
241 buchmann 1.4 for (int isamp=0;isamp<(int)this->collection.size();isamp++)
242 buchmann 1.1 {
243 buchmann 1.21 if(!(this->collection)[isamp].is_data) dout << " - " << (this->collection)[isamp].samplename << " (" << (this->collection)[isamp].filename << ") xs=" << (this->collection)[isamp].xs << " pb, N(events)=" << (this->collection)[isamp].Nentries << endl;
244 buchmann 1.1 }
245     }
246     dout << "---------------------------------------------------------------------------------------------------" << endl;
247     }
248    
249     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)
250     {
251     sample NewSample(m_filename,m_samplename,m_Nentries,m_xs,is_data,m_is_signal,groupindex,newcolor);
252 buchmann 1.18 if (!NewSample.is_active) {
253     write_warning(__FUNCTION__,"Not adding this sample ("+m_filename+") as it has been declared inactive");
254     return;
255     }
256 buchmann 1.1 (this->collection).push_back(NewSample);
257     if((this->collection).size()==1) {
258     this->nmcsamples=0;
259     this->ndatasamples=0;
260     this->nsamples=0;
261     this->ngroups=0;
262     }
263     if(groupindex>this->ngroups) this->ngroups=groupindex;
264     if(is_data) this->ndatasamples++;
265     else this->nmcsamples++;
266     this->nsamples=this->collection.size();
267     }
268    
269     bool samplecollection::do_sample(int thissample, vector<int> &selected_samples)
270     {
271     bool drawit=false;
272 buchmann 1.4 for(int isel=0;isel<(int)selected_samples.size();isel++)
273 buchmann 1.1 {
274     if(selected_samples[isel]==thissample) {
275     drawit=true;
276     break;
277     }
278     }
279     return drawit;
280     }
281    
282     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)
283     {
284     vector<int> emptyvector;
285     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);
286     return histo;
287     }
288    
289     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)
290     {
291     vector<int> emptyvector;
292     TH1F *histo = this->Draw(m_histoname,m_var, binning, m_xlabel, m_ylabel, Cut, m_is_data, luminosity,emptyvector,drawsignal);
293     return histo;
294     }
295    
296     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) {
297     if(Verbosity>0) dout << endl << endl;
298     if(Verbosity>0) dout << "-------------------------------------------------------------------------------------" << endl;
299     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;
300 buchmann 1.9
301 buchmann 1.1 if(HUSH==0) dout << "Drawing histo called " << m_histoname << "... " << endl;
302     bool do_only_selected_samples=false;
303     if(onlyindex.size()>0&&onlyindex[0]!=-1) {
304     if(Verbosity>0) {dout << "Requested to only draw sample corresponding to the following sample(s) : " << endl;}
305 buchmann 1.4 for(int is=0;is<(int)onlyindex.size();is++) {
306 buchmann 1.1 if(Verbosity>0) dout << " - " << (this->collection)[onlyindex[is]].filename << " (sample index: " << onlyindex[is] << ")" << endl;
307     }
308     do_only_selected_samples=true;
309     }
310     if(onlyindex.size()==1&&onlyindex[0]==-1) {
311     do_only_selected_samples=true; // this is the special case when we request a non-existing sample - we shouldn't draw anything then.
312     onlyindex.clear();
313     }
314     stringstream h_histoname;
315     h_histoname<<"h_"<<m_histoname;
316     float binningarray[binning.size()+1];
317 buchmann 1.4 for(int i=0;i<(int)binning.size();i++) {binningarray[i]=binning[i];}
318 buchmann 1.1 TH1F *histo = new TH1F(m_histoname.c_str(),"",binning.size()-1,binningarray);
319     histo->Sumw2();
320    
321     stringstream drawthis;
322     drawthis<<m_var<<">>tempdrawhisto";
323    
324     for (unsigned int isample=0;isample<(this->collection).size();isample++) {
325     bool use_this_sample=false;
326     if(!(this->collection)[isample].is_active) continue; // skip inactive samples right away
327     if(((this->collection)[isample].is_data==m_is_data)&&(!do_only_selected_samples)) {
328     if(drawsignal==false&&(this->collection)[isample].is_signal==true) continue;
329     use_this_sample=true;
330     }
331     if(do_only_selected_samples&&this->do_sample(isample,onlyindex)) {
332     use_this_sample=true;
333     }
334     TH1F *tempdrawhisto = new TH1F("tempdrawhisto","tempdrawhisto",binning.size()-1,binningarray);
335     tempdrawhisto->Sumw2();
336     if(use_this_sample) {
337     (this->collection)[isample].events->Draw(drawthis.str().c_str(),(essentialcut&&Cut)*cutWeight);//this weight is based on PU etc. not XS
338 buchmann 1.19 // cout << "\033[1;33m Drawing " << drawthis.str() << " with cut " << (const char*) (essentialcut&&Cut)*cutWeight << " for sample " << (this->collection)[isample].filename << "\033[0m (overflow: " << addoverunderflowbins << ")" << endl;
339 buchmann 1.1 if(addoverunderflowbins) {
340     //now also adding the overflow & underflow bins:
341     tempdrawhisto->SetBinContent(tempdrawhisto->GetNbinsX(),tempdrawhisto->GetBinContent(tempdrawhisto->GetNbinsX()+1)+tempdrawhisto->GetBinContent(tempdrawhisto->GetNbinsX()));
342     tempdrawhisto->SetBinError(tempdrawhisto->GetNbinsX(),TMath::Sqrt(tempdrawhisto->GetBinContent(tempdrawhisto->GetNbinsX())));
343 buchmann 1.16 // tempdrawhisto->SetBinContent(1,tempdrawhisto->GetBinContent(0)+tempdrawhisto->GetBinContent(1));
344     // tempdrawhisto->SetBinError(1,TMath::Sqrt(tempdrawhisto->GetBinContent(1)));
345 fronga 1.15 // Delete over- and under-flow bins
346     tempdrawhisto->SetBinContent(tempdrawhisto->GetNbinsX()+1,0);
347 buchmann 1.16 // tempdrawhisto->SetBinContent(0,0);
348 buchmann 1.1 }
349    
350     if(!(this->collection)[isample].is_data) tempdrawhisto->Scale(luminosity*((this->collection)[isample].weight));//weight applied here is XS & N(entries)
351 fronga 1.11 if(Verbosity>0) dout << "[samplecollection::Draw] : Added contribution from sample " << (this->collection)[isample].samplename << ": " <<tempdrawhisto->Integral() << endl;
352 buchmann 1.1 histo->Add(tempdrawhisto);
353     }
354     tempdrawhisto->Delete();
355     }//end of loop over isample
356     if(Verbosity>0) dout << "Histo has been filled and now contains " << histo->Integral() << " points (integral)" << endl;
357     histo->GetXaxis()->SetTitle(m_xlabel.c_str());
358     // Try to add bin width information: look for units in m_xlabel
359     string units = find_units(m_xlabel);
360     if ( units.length()>0 ) {
361     stringstream ylabel;
362     ylabel << m_ylabel << " / " << histo->GetBinWidth(1) << " " << units;
363     histo->GetYaxis()->SetTitle( ylabel.str().c_str() );
364     } else {
365     histo->GetYaxis()->SetTitle(m_ylabel.c_str());
366     }
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     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) {
374     if(Verbosity>0) dout << endl << endl;
375     if(Verbosity>0) dout << "-------------------------------------------------------------------------------------" << endl;
376     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;
377     if(HUSH==0) dout << "Drawing histo called " << m_histoname << "... " << endl;
378     bool do_only_selected_samples=false;
379     if(onlyindex.size()>0&&onlyindex[0]!=-1) {
380     if(Verbosity>0) {dout << "Requested to only draw sample corresponding to the following sample(s) : " << endl;}
381 buchmann 1.4 for(int is=0;is<(int)onlyindex.size();is++) {
382 buchmann 1.1 if(Verbosity>0) dout << " - " << (this->collection)[onlyindex[is]].filename << " (sample index: " << onlyindex[is] << ")" << endl;
383     }
384     do_only_selected_samples=true;
385     }
386     if(onlyindex.size()==1&&onlyindex[0]==-1) {
387     do_only_selected_samples=true; // this is the special case when we request a non-existing sample - we shouldn't draw anything then.
388     onlyindex.clear();
389     }
390     stringstream h_histoname;
391     h_histoname<<"h_"<<m_histoname;
392     float binningarray[binningx.size()+1];
393     float binningyarray[binningy.size()+1];
394 buchmann 1.4 for(int i=0;i<(int)binningx.size();i++) {binningarray[i]=binningx[i];binningyarray[i]=binningy[i];}
395 buchmann 1.10 TH2F *histo = new TH2F(m_histoname.c_str(),"",binningx.size()-1,binningarray,binningy.size()-1,binningyarray);
396 buchmann 1.1 histo->Sumw2();
397    
398     stringstream drawthis;
399     drawthis<<m_var<<">>tempdrawhisto";
400    
401     for (unsigned int isample=0;isample<(this->collection).size();isample++) {
402     bool use_this_sample=false;
403     if(!(this->collection)[isample].is_active) continue; // skip inactive samples right away
404     if(((this->collection)[isample].is_data==m_is_data)&&(!do_only_selected_samples)) {
405     if(drawsignal==false&&(this->collection)[isample].is_signal==true) continue;
406     use_this_sample=true;
407     }
408     if(do_only_selected_samples&&this->do_sample(isample,onlyindex)) {
409     use_this_sample=true;
410     }
411     TH2F *tempdrawhisto = new TH2F("tempdrawhisto","tempdrawhisto",binningx.size()-1,binningarray,binningy.size()-1,binningyarray);
412     tempdrawhisto->Sumw2();
413     if(use_this_sample) {
414     if(Verbosity>0) dout << "[samplecollection::Draw] : Added contribution from sample " << (this->collection)[isample].samplename << endl;
415     (this->collection)[isample].events->Draw(drawthis.str().c_str(),(essentialcut&&Cut)*cutWeight);//this weight is based on PU etc. not XS
416 buchmann 1.13 // cout << "About to draw : " << drawthis.str() << " with cut " << (const char*) (essentialcut&&Cut)*cutWeight << endl;
417 buchmann 1.1 if(addoverunderflowbins) {
418     //now also adding the overflow & underflow bins:
419     tempdrawhisto->SetBinContent(tempdrawhisto->GetNbinsX(),tempdrawhisto->GetBinContent(tempdrawhisto->GetNbinsX()+1)+tempdrawhisto->GetBinContent(tempdrawhisto->GetNbinsX()));
420     tempdrawhisto->SetBinError(tempdrawhisto->GetNbinsX(),TMath::Sqrt(tempdrawhisto->GetBinContent(tempdrawhisto->GetNbinsX())));
421     tempdrawhisto->SetBinContent(1,tempdrawhisto->GetBinContent(0)+tempdrawhisto->GetBinContent(1));
422     tempdrawhisto->SetBinError(1,TMath::Sqrt(tempdrawhisto->GetBinContent(1)));
423     }
424    
425     if(!(this->collection)[isample].is_data) tempdrawhisto->Scale(luminosity*((this->collection)[isample].weight));//weight applied here is XS & N(entries)
426     histo->Add(tempdrawhisto);
427     }
428     tempdrawhisto->Delete();
429     }//end of loop over isample
430     if(Verbosity>0) dout << "Histo has been filled and now contains " << histo->Integral() << " points (integral)" << endl;
431     histo->GetXaxis()->SetTitle(m_xlabel.c_str());
432     histo->GetYaxis()->SetTitle(m_ylabel.c_str());
433     histo->GetXaxis()->CenterTitle();
434     histo->GetYaxis()->CenterTitle();
435     if(do_only_selected_samples) histo->SetLineColor(this->GetColor(onlyindex[0]));
436     return histo;
437     }
438    
439    
440     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)
441     {
442     vector<float> binning;
443     for(int i=0;i<=m_nbins;i++)
444     {
445     binning.push_back(((float)(m_maxx-m_minx)/((float)m_nbins))*i+m_minx);
446     }
447 fronga 1.14
448 buchmann 1.1 TH1F *histo = this->Draw(m_histoname,m_var, binning, m_xlabel, m_ylabel, Cut, m_is_data, luminosity, onlyindex,drawsignal);
449     return histo;
450     }
451    
452     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) {
453     stringstream h_histoname;
454     h_histoname<<"h_"<<m_histoname;
455     THStack thestack("thestack",m_histoname.c_str());
456    
457     stringstream drawthis;
458     drawthis<<m_var<<">>tempdrawhisto";
459    
460     TH1F *histogroups[this->ngroups+1];
461     int bookedhistos[this->ngroups+1];
462     for(int ih=0;ih<=this->ngroups;ih++) bookedhistos[ih]=0;
463    
464     float binningarray[binning.size()+1];
465 buchmann 1.4 for(int i=0;i<(int)binning.size();i++) {binningarray[i]=binning[i];}
466 buchmann 1.1
467     for (unsigned int isample=0;isample<(this->collection).size();isample++) {
468     if(!drawsignal&&(this->collection)[isample].is_signal) continue;
469     if((this->collection)[isample].is_active&&(this->collection)[isample].is_data==m_is_data) {//fills mc if we want mc, else fills data.
470     TH1F *tempdrawhisto = new TH1F("tempdrawhisto","",binning.size()-1,binningarray);
471 buchmann 1.19 tempdrawhisto->Sumw2();
472 buchmann 1.1 (this->collection)[isample].events->Draw(drawthis.str().c_str(),(essentialcut&&Cut)*cutWeight);
473    
474     if(addoverunderflowbins) {
475     //now also adding the overflow & underflow bins:
476     tempdrawhisto->SetBinContent(tempdrawhisto->GetNbinsX(),tempdrawhisto->GetBinContent(tempdrawhisto->GetNbinsX()+1)+tempdrawhisto->GetBinContent(tempdrawhisto->GetNbinsX()));
477     // tempdrawhisto->SetBinError(tempdrawhisto->GetNbinsX(),TMath::Sqrt(tempdrawhisto->GetBinContent(tempdrawhisto->GetNbinsX()))); // errors not necessary for stack!
478     tempdrawhisto->SetBinContent(1,tempdrawhisto->GetBinContent(0)+tempdrawhisto->GetBinContent(1));
479     // tempdrawhisto->SetBinError(1,TMath::Sqrt(tempdrawhisto->GetBinContent(1))); // errors not necessary for stack!
480     }
481    
482     if(!(this->collection)[isample].is_data) tempdrawhisto->Scale(luminosity*((this->collection)[isample].weight));
483     tempdrawhisto->SetFillColor(this->GetColor(isample));
484     if(bookedhistos[(this->collection)[isample].groupindex]==0) {
485 buchmann 1.5 tempdrawhisto->SetName((removefunnystring((this->collection)[isample].samplename)+"__"+GetNumericHistoName()).c_str());
486 buchmann 1.1 histogroups[(this->collection)[isample].groupindex]=(TH1F*)tempdrawhisto->Clone();
487     bookedhistos[(this->collection)[isample].groupindex]=1;
488     }
489     else
490     {
491     histogroups[(this->collection)[isample].groupindex]->Add(tempdrawhisto);
492     bookedhistos[(this->collection)[isample].groupindex]++;
493     }
494     tempdrawhisto->Delete();
495     }
496     }
497     vector<int> ordered_indices;
498     vector<float> ordered_integrals;
499    
500     for(int ig=0;ig<=this->ngroups;ig++) {
501     if(bookedhistos[ig]>0) {
502     ordered_indices.push_back(ig);
503     ordered_integrals.push_back(histogroups[ig]->Integral());
504     }
505     }
506    
507     /*
508     bubbleSort(ordered_integrals,ordered_indices);
509     // for(int index=ordered_indices.size()-1;index>=0;index--) {
510     for(int index=0;index<ordered_indices.size();index++) {
511     thestack.Add(histogroups[ordered_indices[index]]);
512     }
513     */
514 buchmann 1.4 for(int index=0;index<(int)ordered_indices.size();index++) {
515 buchmann 1.1 thestack.Add(histogroups[ordered_indices[index]]);
516     }
517     return thestack;
518     }
519    
520     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
521     drawsignal=false)
522     {
523     vector<float> binning;
524     for(int i=0;i<=m_nbins;i++)
525     {
526     binning.push_back(((float)(m_maxx-m_minx)/((float)m_nbins))*i+m_minx);
527     }
528     return this->DrawStack(m_histoname,m_var, binning, m_xlabel, m_ylabel, Cut, m_is_data, luminosity, drawsignal);
529     }
530    
531    
532     vector<int> samplecollection::FindSample(string what)
533     {
534     vector<int> hitcollection;
535     for(unsigned int isam=0;isam<(this->collection).size();isam++)
536     {
537     if(((this->collection)[isam].filename).find(what)!=string::npos) {
538     hitcollection.push_back(isam);
539     } else {
540     }
541     }
542     if(hitcollection.size()==0) {
543     hitcollection.push_back(-1);
544     write_warning(__FUNCTION__,"Couldn't find sample "+string(what)+" using sample collection \""+string(this->name)+"\"");
545     }
546     return hitcollection;
547     }
548    
549 buchmann 1.3 vector<int> samplecollection::FindSampleBySampleName(string what)
550     {
551     vector<int> hitcollection;
552     for(unsigned int isam=0;isam<(this->collection).size();isam++)
553     {
554     if(((this->collection)[isam].samplename).find(what)!=string::npos) {
555     hitcollection.push_back(isam);
556     } else {
557     }
558     }
559     if(hitcollection.size()==0) {
560     hitcollection.push_back(-1);
561     write_warning(__FUNCTION__,"Couldn't find sample "+string(what)+" using sample collection \""+string(this->name)+"\"");
562     }
563     return hitcollection;
564     }
565    
566 buchmann 1.1 Color_t samplecollection::GetColor(string filename) {
567     vector<int> corresponding_samples = this->FindSample(filename);
568     if(corresponding_samples.size()>0) return this->GetColor(corresponding_samples[0]);
569     return kBlack;
570     }
571    
572     Color_t samplecollection::GetColor(int sampleindex) {
573     return this->collection[sampleindex].samplecolor;
574     }
575    
576     TLegend* samplecollection::allbglegend(string title, TH1F *data,float posx=0.65, float posy=0.60) {
577     // TLegend *leg = new TLegend(0.65,0.60,0.89,0.77);
578     TLegend *leg = new TLegend(posx,posy,0.89,0.89);
579     if(title!="") leg->SetHeader(title.c_str());
580 fronga 1.14 if(data->GetName()!="nothing") leg->AddEntry(data,"Data","lp");
581 buchmann 1.1 leg->SetFillColor(kWhite);
582     leg->SetBorderSize(0);
583     leg->SetLineColor(kWhite);
584    
585 buchmann 1.22 int maxIgroup=0;
586     for(int isample=0;isample<(int)(this->collection).size();isample++) {
587 buchmann 1.24 if((this->collection)[isample].groupindex>maxIgroup) maxIgroup=(this->collection)[isample].groupindex;
588 buchmann 1.22 }
589 buchmann 1.24 maxIgroup++;
590 buchmann 1.22
591     TH1F *fakehistos[maxIgroup];
592     bool donealready[maxIgroup];
593    
594     for(int i=0;i<maxIgroup;i++) donealready[i]=false;
595 buchmann 1.24
596 buchmann 1.4 for(int isample=0;isample<(int)(this->collection).size();isample++) {
597 buchmann 1.1 if((this->collection)[isample].is_data||(this->collection)[isample].is_signal) continue;
598     if(!donealready[(this->collection)[isample].groupindex]) {
599 buchmann 1.24 assert((this->collection)[isample].groupindex<maxIgroup);
600 buchmann 1.1 fakehistos[(this->collection)[isample].groupindex] = new TH1F(GetNumericHistoName().c_str(),"",1,0,1);
601     fakehistos[(this->collection)[isample].groupindex]->Fill(1);
602     fakehistos[(this->collection)[isample].groupindex]->SetFillColor(this->GetColor(isample));
603     leg->AddEntry(fakehistos[(this->collection)[isample].groupindex],((this->collection)[isample].samplename).c_str(),"f");
604     donealready[(this->collection)[isample].groupindex]=true;
605 buchmann 1.21 PlottingSetup::FakeHistoHeap.push_back(fakehistos[(this->collection)[isample].groupindex]);
606 buchmann 1.1 }
607     }
608     DrawPrelim();
609     leg->SetTextFont(42);
610     return leg;
611     }
612    
613     TLegend* samplecollection::allbglegend(string title="",float posx=0.65, float posy=0.60) {
614     TH1F *blub = new TH1F("nothing","nothing",1,0,1);
615 buchmann 1.21 TLegend *leg = this->allbglegend(title,blub,posx,posy);
616 buchmann 1.25 PlottingSetup::FakeHistoHeap.push_back(blub);
617 buchmann 1.21 return leg;
618 buchmann 1.1 }
619    
620    
621     void set_treename(string treen="events") {
622     dout << "Treename has been set to " << treen << endl;
623     if(treen=="PFevents"||treen=="events") treename=treen;
624     else write_error("sample::set_treename","Setting the treename failed as you provided an invalid tree name.");
625     }
626    
627     vector<float> samplecollection::get_optimal_binsize(string variable, TCut cut,int nbins, float low, float high) {
628     TH1F *histo = this->Draw("histo",variable,5000,low,high, "finding_optimal_binsize", "events", cut,0,1000);
629     float eventsperbin=histo->Integral()/nbins;
630     vector<float> binning;
631     binning.push_back(high);
632     float runningsum=0;
633     for(int i=histo->GetNbinsX();i>0;i--) {
634     runningsum+=histo->GetBinContent(i);
635     if(TMath::Abs(runningsum-eventsperbin)<0.05*eventsperbin||runningsum>eventsperbin) {
636     binning.push_back(histo->GetBinLowEdge(i));
637     runningsum=0;
638     }
639     }
640     if(runningsum>0) binning.push_back(low);
641     for(int i=0;i<int(binning.size()/2);i++) {
642     float temp=binning[i];
643     binning[i]=binning[binning.size()-1-i];
644     binning[binning.size()-1-i]=temp;
645     }
646    
647     return binning;
648    
649     }
650    
651     void samplecollection::PickUpFromThisFile(int isamp, string cut, vector<string> &output, vector<string> &pickupfile) {
652     int lumi,eventNum,runNum;
653     float jzb[30];
654     (this->collection)[isamp].events->SetBranchAddress("jzb",&jzb);
655     (this->collection)[isamp].events->SetBranchAddress("lumi",&runNum);
656     (this->collection)[isamp].events->SetBranchAddress("eventNum",&eventNum);
657     (this->collection)[isamp].events->SetBranchAddress("lumi",&lumi);
658     (this->collection)[isamp].events->SetBranchAddress("runNum",&runNum);
659    
660    
661     TTreeFormula *select = new TTreeFormula("select", cut.c_str()&&essentialcut, (this->collection)[isamp].events);
662     int npickedup=0;
663     for (Int_t entry = 0 ; entry < (this->collection)[isamp].events->GetEntries() ; entry++) {
664     (this->collection)[isamp].events->LoadTree(entry);
665     if (select->EvalInstance()) {
666     (this->collection)[isamp].events->GetEntry(entry);
667     dout << runNum << ":" << lumi << ":" << eventNum << endl;
668     npickedup++;
669     }
670     }
671     dout << "Printed out a total of " << npickedup << " events" << endl;
672     }
673    
674    
675    
676     void samplecollection::PickUpEvents(string cut) {
677     vector<string> output;
678     vector<string> pickupfile;
679 buchmann 1.4 for (int isamp=0;isamp<(int)this->collection.size();isamp++)
680 buchmann 1.1 {
681     if((this->collection)[isamp].is_data) {
682     //we have a data sample !
683     this->PickUpFromThisFile(isamp,cut,output,pickupfile);
684     }
685     }
686     //do something with output and of course the pickup file!
687     }
688    
689     //________________________________________________________________________________________
690     // Find units from histogram x-label (looks for '[...]')
691     string samplecollection::find_units(string& xlabel) {
692    
693     string units;
694     size_t pos1 = xlabel.find("[");
695     if ( pos1 != string::npos ) {
696     size_t pos2 = xlabel.find("]");
697     units = xlabel.substr(pos1+1,pos2-pos1-1);
698     }// else {
699     // size_t pos1 = xlabel.find("(");
700     // if ( pos1 != string::npos ) {
701     // size_t pos2 = xlabel.find(")");
702     // units = xlabel.substr(pos1+1,pos2-pos1-1);
703     // }
704     // }
705     return units;
706    
707     }
708    
709     void samplecollection::RemoveLastSample() {
710     dout << "Removing last sample: " << ((this->collection)[(this->collection).size()-1]).filename << std::endl;
711     if(((this->collection)[(this->collection).size()-1]).is_data) this->ndatasamples--;
712     else this->nmcsamples--;
713     this->nsamples--;
714     ((this->collection)[(this->collection).size()-1]).closeFile();
715     (this->collection).pop_back();
716     }
717    
718     void switch_overunderflow(bool newpos=false) {
719     addoverunderflowbins=newpos;
720     }
721    
722