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1 | /************************************************************************** | |
2 | * Copyright(c) 1998-2009, ALICE Experiment at CERN, All rights reserved. * | |
3 | * * | |
4 | * Author: The ALICE Off-line Project. * | |
5 | * Contributors are mentioned in the code where appropriate. * | |
6 | * * | |
7 | * Permission to use, copy, modify and distribute this software and its * | |
8 | * documentation strictly for non-commercial purposes is hereby granted * | |
9 | * without fee, provided that the above copyright notice appears in all * | |
10 | * copies and that both the copyright notice and this permission notice * | |
11 | * appear in the supporting documentation. The authors make no claims * | |
12 | * about the suitability of this software for any purpose. It is * | |
13 | * provided "as is" without express or implied warranty. * | |
14 | **************************************************************************/ | |
15 | ||
16 | ///////////////////////////////////////////////////////////// | |
17 | // | |
18 | // AliHFMassFitter for the fit of invariant mass distribution | |
19 | // of charmed mesons | |
20 | // | |
21 | // Author: C.Bianchin, chiara.bianchin@pd.infn.it | |
22 | ///////////////////////////////////////////////////////////// | |
23 | ||
24 | #include <Riostream.h> | |
25 | #include <TMath.h> | |
26 | #include <TNtuple.h> | |
27 | #include <TH1F.h> | |
28 | #include <TF1.h> | |
29 | #include <TList.h> | |
30 | #include <TFile.h> | |
31 | #include <TCanvas.h> | |
32 | #include <TVirtualPad.h> | |
33 | #include <TGraph.h> | |
34 | #include <TVirtualFitter.h> | |
35 | #include <TMinuit.h> | |
36 | #include <TStyle.h> | |
37 | #include <TPaveText.h> | |
38 | ||
39 | #include "AliHFMassFitter.h" | |
40 | ||
41 | ||
42 | ||
43 | ClassImp(AliHFMassFitter) | |
44 | ||
45 | //************** constructors | |
46 | AliHFMassFitter::AliHFMassFitter() : | |
47 | TNamed(), | |
48 | fhistoInvMass(0), | |
49 | fminMass(0), | |
50 | fmaxMass(0), | |
51 | fminBinMass(0), | |
52 | fmaxBinMass(0), | |
53 | fNbin(0), | |
54 | fParsSize(1), | |
55 | fNFinalPars(1), | |
56 | fFitPars(0), | |
57 | fWithBkg(0), | |
58 | ftypeOfFit4Bkg(0), | |
59 | ftypeOfFit4Sgn(0), | |
60 | ffactor(1), | |
61 | fntuParam(0), | |
62 | fMass(1.865), | |
63 | fSigmaSgn(0.012), | |
64 | fSideBands(0), | |
65 | fFixPar(0), | |
66 | fSideBandl(0), | |
67 | fSideBandr(0), | |
68 | fcounter(0), | |
69 | fContourGraph(0) | |
70 | { | |
71 | // default constructor | |
72 | ||
73 | cout<<"Default constructor:"<<endl; | |
74 | cout<<"Remember to set the Histo, the Type, the FixPar"<<endl; | |
75 | ||
76 | } | |
77 | ||
78 | //___________________________________________________________________________ | |
79 | ||
80 | AliHFMassFitter::AliHFMassFitter (const TH1F *histoToFit, Double_t minvalue, Double_t maxvalue, Int_t rebin,Int_t fittypeb,Int_t fittypes): | |
81 | TNamed(), | |
82 | fhistoInvMass(0), | |
83 | fminMass(0), | |
84 | fmaxMass(0), | |
85 | fminBinMass(0), | |
86 | fmaxBinMass(0), | |
87 | fNbin(0), | |
88 | fParsSize(1), | |
89 | fNFinalPars(1), | |
90 | fFitPars(0), | |
91 | fWithBkg(0), | |
92 | ftypeOfFit4Bkg(0), | |
93 | ftypeOfFit4Sgn(0), | |
94 | ffactor(1), | |
95 | fntuParam(0), | |
96 | fMass(1.865), | |
97 | fSigmaSgn(0.012), | |
98 | fSideBands(0), | |
99 | fFixPar(0), | |
100 | fSideBandl(0), | |
101 | fSideBandr(0), | |
102 | fcounter(0), | |
103 | fContourGraph(0) | |
104 | { | |
105 | // standard constructor | |
106 | ||
107 | fhistoInvMass= (TH1F*)histoToFit->Clone("fhistoInvMass"); | |
108 | fhistoInvMass->SetDirectory(0); | |
109 | fminMass=minvalue; | |
110 | fmaxMass=maxvalue; | |
111 | if(rebin!=1) RebinMass(rebin); | |
112 | else fNbin=(Int_t)fhistoInvMass->GetNbinsX(); | |
113 | CheckRangeFit(); | |
114 | ftypeOfFit4Bkg=fittypeb; | |
115 | ftypeOfFit4Sgn=fittypes; | |
116 | if(ftypeOfFit4Bkg!=0 && ftypeOfFit4Bkg!=1 && ftypeOfFit4Bkg!=2) fWithBkg=kFALSE; | |
117 | else fWithBkg=kTRUE; | |
118 | if (!fWithBkg) cout<<"Fit Histogram of Signal only"<<endl; | |
119 | else cout<<"Type of fit For Background = "<<ftypeOfFit4Bkg<<endl; | |
120 | ||
121 | ComputeParSize(); | |
122 | fFitPars=new Float_t[fParsSize]; | |
123 | ||
124 | SetDefaultFixParam(); | |
125 | ||
126 | fContourGraph=new TList(); | |
127 | fContourGraph->SetOwner(); | |
128 | ||
129 | } | |
130 | ||
131 | ||
132 | AliHFMassFitter::AliHFMassFitter(const AliHFMassFitter &mfit): | |
133 | TNamed(), | |
134 | fhistoInvMass(mfit.fhistoInvMass), | |
135 | fminMass(mfit.fminMass), | |
136 | fmaxMass(mfit.fmaxMass), | |
137 | fminBinMass(mfit.fminBinMass), | |
138 | fmaxBinMass(mfit.fmaxBinMass), | |
139 | fNbin(mfit.fNbin), | |
140 | fParsSize(mfit.fParsSize), | |
141 | fNFinalPars(mfit.fNFinalPars), | |
142 | fFitPars(0), | |
143 | fWithBkg(mfit.fWithBkg), | |
144 | ftypeOfFit4Bkg(mfit.ftypeOfFit4Bkg), | |
145 | ftypeOfFit4Sgn(mfit.ftypeOfFit4Sgn), | |
146 | ffactor(mfit.ffactor), | |
147 | fntuParam(mfit.fntuParam), | |
148 | fMass(mfit.fMass), | |
149 | fSigmaSgn(mfit.fSigmaSgn), | |
150 | fSideBands(mfit.fSideBands), | |
151 | fFixPar(0), | |
152 | fSideBandl(mfit.fSideBandl), | |
153 | fSideBandr(mfit.fSideBandr), | |
154 | fcounter(mfit.fcounter), | |
155 | fContourGraph(mfit.fContourGraph) | |
156 | { | |
157 | //copy constructor | |
158 | ||
159 | if(mfit.fParsSize > 0){ | |
160 | fFitPars=new Float_t[fParsSize]; | |
161 | fFixPar=new Bool_t[fNFinalPars]; | |
162 | memcpy(fFitPars,mfit.fFitPars,mfit.fParsSize*sizeof(Float_t)); | |
163 | memcpy(fFixPar,mfit.fFixPar,mfit.fNFinalPars*sizeof(Bool_t)); | |
164 | } | |
165 | ||
166 | } | |
167 | ||
168 | //_________________________________________________________________________ | |
169 | ||
170 | AliHFMassFitter::~AliHFMassFitter() { | |
171 | ||
172 | //destructor | |
173 | ||
174 | cout<<"AliHFMassFitter destructor called"<<endl; | |
175 | if(fhistoInvMass) { | |
176 | cout<<"deleting histogram..."<<endl; | |
177 | delete fhistoInvMass; | |
178 | fhistoInvMass=NULL; | |
179 | } | |
180 | if(fntuParam){ | |
181 | cout<<"deleting ntuple..."<<endl; | |
182 | delete fntuParam; | |
183 | ||
184 | fntuParam=NULL; | |
185 | } | |
186 | ||
187 | if(fFitPars) { | |
188 | delete[] fFitPars; | |
189 | cout<<"deleting parameter array..."<<endl; | |
190 | fFitPars=NULL; | |
191 | } | |
192 | ||
193 | if(fFixPar) { | |
194 | delete[] fFixPar; | |
195 | cout<<"deleting bool array..."<<endl; | |
196 | fFixPar=NULL; | |
197 | } | |
198 | ||
199 | fcounter = 0; | |
200 | } | |
201 | ||
202 | //_________________________________________________________________________ | |
203 | ||
204 | AliHFMassFitter& AliHFMassFitter::operator=(const AliHFMassFitter &mfit){ | |
205 | ||
206 | //assignment operator | |
207 | ||
208 | if(&mfit == this) return *this; | |
209 | fhistoInvMass= mfit.fhistoInvMass; | |
210 | fminMass= mfit.fminMass; | |
211 | fmaxMass= mfit.fmaxMass; | |
212 | fNbin= mfit.fNbin; | |
213 | fParsSize= mfit.fParsSize; | |
214 | fWithBkg= mfit.fWithBkg; | |
215 | ftypeOfFit4Bkg= mfit.ftypeOfFit4Bkg; | |
216 | ftypeOfFit4Sgn= mfit.ftypeOfFit4Sgn; | |
217 | ffactor= mfit.ffactor; | |
218 | fntuParam= mfit.fntuParam; | |
219 | fMass= mfit.fMass; | |
220 | fSigmaSgn= mfit.fSigmaSgn; | |
221 | fSideBands= mfit.fSideBands; | |
222 | fSideBandl= mfit.fSideBandl; | |
223 | fSideBandr= mfit.fSideBandr; | |
224 | fcounter= mfit.fcounter; | |
225 | fContourGraph= mfit.fContourGraph; | |
226 | ||
227 | if(mfit.fParsSize > 0){ | |
228 | if(fFitPars) { | |
229 | delete[] fFitPars; | |
230 | fFitPars=NULL; | |
231 | } | |
232 | fFitPars=new Float_t[fParsSize]; | |
233 | memcpy(fFitPars,mfit.fFitPars,mfit.fParsSize*sizeof(Float_t)); | |
234 | ||
235 | if(fFixPar) { | |
236 | delete[] fFixPar; | |
237 | fFixPar=NULL; | |
238 | } | |
239 | fFixPar=new Bool_t[fNFinalPars]; | |
240 | memcpy(fFixPar,mfit.fFixPar,mfit.fNFinalPars*sizeof(Float_t)); | |
241 | } | |
242 | ||
243 | return *this; | |
244 | } | |
245 | ||
246 | //************ tools & settings | |
247 | ||
248 | //__________________________________________________________________________ | |
249 | ||
250 | void AliHFMassFitter::ComputeNFinalPars() { | |
251 | ||
252 | //compute the number of parameters of the total (signal+bgk) function | |
253 | cout<<"Info:ComputeNFinalPars... "; | |
254 | switch (ftypeOfFit4Bkg) {//npar background func | |
255 | case 0: | |
256 | fNFinalPars=2; | |
257 | break; | |
258 | case 1: | |
259 | fNFinalPars=2; | |
260 | break; | |
261 | case 2: | |
262 | fNFinalPars=3; | |
263 | break; | |
264 | case 3: | |
265 | fNFinalPars=1; | |
266 | break; | |
267 | default: | |
268 | cout<<"Error in computing fNFinalPars: check ftypeOfFit4Bkg"<<endl; | |
269 | break; | |
270 | } | |
271 | ||
272 | fNFinalPars+=3; //gaussian signal | |
273 | cout<<": "<<fNFinalPars<<endl; | |
274 | } | |
275 | //__________________________________________________________________________ | |
276 | ||
277 | void AliHFMassFitter::ComputeParSize() { | |
278 | ||
279 | //compute the size of the parameter array and set the data member | |
280 | ||
281 | switch (ftypeOfFit4Bkg) {//npar background func | |
282 | case 0: | |
283 | fParsSize = 2*3; | |
284 | break; | |
285 | case 1: | |
286 | fParsSize = 2*3; | |
287 | break; | |
288 | case 2: | |
289 | fParsSize = 3*3; | |
290 | break; | |
291 | case 3: | |
292 | fParsSize = 1*3; | |
293 | break; | |
294 | default: | |
295 | cout<<"Error in computing fParsSize: check ftypeOfFit4Bkg"<<endl; | |
296 | break; | |
297 | } | |
298 | ||
299 | fParsSize += 3; // npar refl | |
300 | fParsSize += 3; // npar signal gaus | |
301 | ||
302 | fParsSize*=2; // add errors | |
303 | cout<<"Parameters array size "<<fParsSize<<endl; | |
304 | } | |
305 | ||
306 | //___________________________________________________________________________ | |
307 | void AliHFMassFitter::SetDefaultFixParam(){ | |
308 | ||
309 | //Set default values for fFixPar (only total integral fixed) | |
310 | ||
311 | ComputeNFinalPars(); | |
312 | fFixPar=new Bool_t[fNFinalPars]; | |
313 | ||
314 | fFixPar[0]=kTRUE; //default: IntTot fixed | |
315 | cout<<"Parameter 0 is fixed"<<endl; | |
316 | for(Int_t i=1;i<fNFinalPars;i++){ | |
317 | fFixPar[i]=kFALSE; | |
318 | } | |
319 | ||
320 | } | |
321 | ||
322 | //___________________________________________________________________________ | |
323 | Bool_t AliHFMassFitter::SetFixThisParam(Int_t thispar,Bool_t fixpar){ | |
324 | ||
325 | //set the value (kFALSE or kTRUE) of one element of fFixPar | |
326 | //return kFALSE if something wrong | |
327 | ||
328 | if(thispar>=fNFinalPars) { | |
329 | cout<<"Error! Parameter out of bounds! Max is "<<fNFinalPars-1<<endl; | |
330 | return kFALSE; | |
331 | } | |
332 | if(!fFixPar){ | |
333 | cout<<"Initializing fFixPar..."; | |
334 | SetDefaultFixParam(); | |
335 | cout<<" done."<<endl; | |
336 | } | |
337 | ||
338 | fFixPar[thispar]=fixpar; | |
339 | if(fixpar)cout<<"Parameter "<<thispar<<" is now fixed"<<endl; | |
340 | else cout<<"Parameter "<<thispar<<" is now free"<<endl; | |
341 | return kTRUE; | |
342 | } | |
343 | ||
344 | //___________________________________________________________________________ | |
345 | Bool_t AliHFMassFitter::GetFixThisParam(Int_t thispar)const{ | |
346 | //return the value of fFixPar[thispar] | |
347 | if(thispar>=fNFinalPars) { | |
348 | cout<<"Error! Parameter out of bounds! Max is "<<fNFinalPars-1<<endl; | |
349 | return kFALSE; | |
350 | } | |
351 | if(!fFixPar) { | |
352 | cout<<"Error! Parameters to be fixed still not set"<<endl; | |
353 | return kFALSE; | |
354 | ||
355 | } | |
356 | return fFixPar[thispar]; | |
357 | ||
358 | } | |
359 | ||
360 | //___________________________________________________________________________ | |
361 | void AliHFMassFitter::SetHisto(const TH1F *histoToFit){ | |
362 | ||
363 | fhistoInvMass = new TH1F(*histoToFit); | |
364 | fhistoInvMass->SetDirectory(0); | |
365 | cout<<"SetHisto pointer "<<fhistoInvMass<<endl; | |
366 | } | |
367 | ||
368 | //___________________________________________________________________________ | |
369 | ||
370 | void AliHFMassFitter::SetType(Int_t fittypeb, Int_t fittypes) { | |
371 | ||
372 | //set the type of fit to perform for signal and background | |
373 | ||
374 | ftypeOfFit4Bkg = fittypeb; | |
375 | ftypeOfFit4Sgn = fittypes; | |
376 | ||
377 | ComputeParSize(); | |
378 | fFitPars = new Float_t[fParsSize]; | |
379 | ||
380 | SetDefaultFixParam(); | |
381 | } | |
382 | ||
383 | //___________________________________________________________________________ | |
384 | ||
385 | void AliHFMassFitter::Reset() { | |
386 | ||
387 | //delete the histogram and reset the mean and sigma to default | |
388 | ||
389 | cout<<"Reset called: delete histogram, set mean value to 1.85 and sigma to 0.012"<<endl; | |
390 | fMass=1.85; | |
391 | fSigmaSgn=0.012; | |
392 | cout<<"Reset "<<fhistoInvMass<<endl; | |
393 | if(fhistoInvMass) { | |
394 | delete fhistoInvMass; | |
395 | fhistoInvMass=NULL; | |
396 | cout<<fhistoInvMass<<endl; | |
397 | } | |
398 | else cout<<"histogram doesn't exist, do not delete"<<endl; | |
399 | ||
400 | ||
401 | } | |
402 | ||
403 | //_________________________________________________________________________ | |
404 | ||
405 | void AliHFMassFitter::InitNtuParam(char *ntuname) { | |
406 | ||
407 | // Create ntuple to keep fit parameters | |
408 | ||
409 | fntuParam=0; | |
410 | fntuParam=new TNtuple(ntuname,"Contains fit parameters","intbkg1:slope1:conc1:intGB:meanGB:sigmaGB:intbkg2:slope2:conc2:inttot:slope3:conc3:intsgn:meansgn:sigmasgn:intbkg1Err:slope1Err:conc1Err:intGBErr:meanGBErr:sigmaGBErr:intbkg2Err:slope2Err:conc2Err:inttotErr:slope3Err:conc3Err:intsgnErr:meansgnErr:sigmasgnErr"); | |
411 | ||
412 | } | |
413 | ||
414 | //_________________________________________________________________________ | |
415 | ||
416 | void AliHFMassFitter::FillNtuParam() { | |
417 | // Fill ntuple with fit parameters | |
418 | ||
419 | Float_t nothing=0.; | |
420 | ||
421 | if (ftypeOfFit4Bkg==2) { | |
422 | fntuParam->SetBranchAddress("intbkg1",&fFitPars[0]); | |
423 | fntuParam->SetBranchAddress("slope1",&fFitPars[1]); | |
424 | fntuParam->SetBranchAddress("conc1",&fFitPars[2]); | |
425 | fntuParam->SetBranchAddress("intGB",&fFitPars[3]); | |
426 | fntuParam->SetBranchAddress("meanGB",&fFitPars[4]); | |
427 | fntuParam->SetBranchAddress("sigmaGB",&fFitPars[5]); | |
428 | fntuParam->SetBranchAddress("intbkg2",&fFitPars[6]); | |
429 | fntuParam->SetBranchAddress("slope2",&fFitPars[7]); | |
430 | fntuParam->SetBranchAddress("conc2",&fFitPars[8]); | |
431 | fntuParam->SetBranchAddress("inttot",&fFitPars[9]); | |
432 | fntuParam->SetBranchAddress("slope3",&fFitPars[10]); | |
433 | fntuParam->SetBranchAddress("conc3",&fFitPars[11]); | |
434 | fntuParam->SetBranchAddress("intsgn",&fFitPars[12]); | |
435 | fntuParam->SetBranchAddress("meansgn",&fFitPars[13]); | |
436 | fntuParam->SetBranchAddress("sigmasgn",&fFitPars[14]); | |
437 | ||
438 | fntuParam->SetBranchAddress("intbkg1Err",&fFitPars[15]); | |
439 | fntuParam->SetBranchAddress("slope1Err",&fFitPars[16]); | |
440 | fntuParam->SetBranchAddress("conc1Err",&fFitPars[17]); | |
441 | fntuParam->SetBranchAddress("intGBErr",&fFitPars[18]); | |
442 | fntuParam->SetBranchAddress("meanGBErr",&fFitPars[19]); | |
443 | fntuParam->SetBranchAddress("sigmaGBErr",&fFitPars[20]); | |
444 | fntuParam->SetBranchAddress("intbkg2Err",&fFitPars[21]); | |
445 | fntuParam->SetBranchAddress("slope2Err",&fFitPars[22]); | |
446 | fntuParam->SetBranchAddress("conc2Err",&fFitPars[23]); | |
447 | fntuParam->SetBranchAddress("inttotErr",&fFitPars[24]); | |
448 | fntuParam->SetBranchAddress("slope3Err",&fFitPars[25]); | |
449 | fntuParam->SetBranchAddress("conc3Err",&fFitPars[26]); | |
450 | fntuParam->SetBranchAddress("intsgnErr",&fFitPars[27]); | |
451 | fntuParam->SetBranchAddress("meansgnErr",&fFitPars[28]); | |
452 | fntuParam->SetBranchAddress("sigmasgnErr",&fFitPars[29]); | |
453 | ||
454 | } else { | |
455 | ||
456 | if(ftypeOfFit4Bkg==3){ | |
457 | fntuParam->SetBranchAddress("intbkg1",&fFitPars[0]); | |
458 | fntuParam->SetBranchAddress("slope1",¬hing); | |
459 | fntuParam->SetBranchAddress("conc1",¬hing); | |
460 | fntuParam->SetBranchAddress("intGB",&fFitPars[1]); | |
461 | fntuParam->SetBranchAddress("meanGB",&fFitPars[2]); | |
462 | fntuParam->SetBranchAddress("sigmaGB",&fFitPars[3]); | |
463 | fntuParam->SetBranchAddress("intbkg2",&fFitPars[4]); | |
464 | fntuParam->SetBranchAddress("slope2",¬hing); | |
465 | fntuParam->SetBranchAddress("conc2",¬hing); | |
466 | fntuParam->SetBranchAddress("inttot",&fFitPars[6]); | |
467 | fntuParam->SetBranchAddress("slope3",¬hing); | |
468 | fntuParam->SetBranchAddress("conc3",¬hing); | |
469 | fntuParam->SetBranchAddress("intsgn",&fFitPars[6]); | |
470 | fntuParam->SetBranchAddress("meansgn",&fFitPars[7]); | |
471 | fntuParam->SetBranchAddress("sigmasgn",&fFitPars[8]); | |
472 | ||
473 | fntuParam->SetBranchAddress("intbkg1Err",&fFitPars[9]); | |
474 | fntuParam->SetBranchAddress("slope1Err",¬hing); | |
475 | fntuParam->SetBranchAddress("conc1Err",¬hing); | |
476 | fntuParam->SetBranchAddress("intGBErr",&fFitPars[10]); | |
477 | fntuParam->SetBranchAddress("meanGBErr",&fFitPars[11]); | |
478 | fntuParam->SetBranchAddress("sigmaGBErr",&fFitPars[12]); | |
479 | fntuParam->SetBranchAddress("intbkg2Err",&fFitPars[13]); | |
480 | fntuParam->SetBranchAddress("slope2Err",¬hing); | |
481 | fntuParam->SetBranchAddress("conc2Err",¬hing); | |
482 | fntuParam->SetBranchAddress("inttotErr",&fFitPars[15]); | |
483 | fntuParam->SetBranchAddress("slope3Err",¬hing); | |
484 | fntuParam->SetBranchAddress("conc3Err",¬hing); | |
485 | fntuParam->SetBranchAddress("intsgnErr",&fFitPars[15]); | |
486 | fntuParam->SetBranchAddress("meansgnErr",&fFitPars[16]); | |
487 | fntuParam->SetBranchAddress("sigmasgnErr",&fFitPars[17]); | |
488 | ||
489 | } | |
490 | else{ | |
491 | fntuParam->SetBranchAddress("intbkg1",&fFitPars[0]); | |
492 | fntuParam->SetBranchAddress("slope1",&fFitPars[1]); | |
493 | fntuParam->SetBranchAddress("conc1",¬hing); | |
494 | fntuParam->SetBranchAddress("intGB",&fFitPars[2]); | |
495 | fntuParam->SetBranchAddress("meanGB",&fFitPars[3]); | |
496 | fntuParam->SetBranchAddress("sigmaGB",&fFitPars[4]); | |
497 | fntuParam->SetBranchAddress("intbkg2",&fFitPars[5]); | |
498 | fntuParam->SetBranchAddress("slope2",&fFitPars[6]); | |
499 | fntuParam->SetBranchAddress("conc2",¬hing); | |
500 | fntuParam->SetBranchAddress("inttot",&fFitPars[7]); | |
501 | fntuParam->SetBranchAddress("slope3",&fFitPars[8]); | |
502 | fntuParam->SetBranchAddress("conc3",¬hing); | |
503 | fntuParam->SetBranchAddress("intsgn",&fFitPars[9]); | |
504 | fntuParam->SetBranchAddress("meansgn",&fFitPars[10]); | |
505 | fntuParam->SetBranchAddress("sigmasgn",&fFitPars[11]); | |
506 | ||
507 | fntuParam->SetBranchAddress("intbkg1Err",&fFitPars[12]); | |
508 | fntuParam->SetBranchAddress("slope1Err",&fFitPars[13]); | |
509 | fntuParam->SetBranchAddress("conc1Err",¬hing); | |
510 | fntuParam->SetBranchAddress("intGBErr",&fFitPars[14]); | |
511 | fntuParam->SetBranchAddress("meanGBErr",&fFitPars[15]); | |
512 | fntuParam->SetBranchAddress("sigmaGBErr",&fFitPars[16]); | |
513 | fntuParam->SetBranchAddress("intbkg2Err",&fFitPars[17]); | |
514 | fntuParam->SetBranchAddress("slope2Err",&fFitPars[18]); | |
515 | fntuParam->SetBranchAddress("conc2Err",¬hing); | |
516 | fntuParam->SetBranchAddress("inttotErr",&fFitPars[19]); | |
517 | fntuParam->SetBranchAddress("slope3Err",&fFitPars[20]); | |
518 | fntuParam->SetBranchAddress("conc3Err",¬hing); | |
519 | fntuParam->SetBranchAddress("intsgnErr",&fFitPars[21]); | |
520 | fntuParam->SetBranchAddress("meansgnErr",&fFitPars[22]); | |
521 | fntuParam->SetBranchAddress("sigmasgnErr",&fFitPars[23]); | |
522 | } | |
523 | ||
524 | } | |
525 | fntuParam->TTree::Fill(); | |
526 | } | |
527 | ||
528 | //_________________________________________________________________________ | |
529 | ||
530 | TNtuple* AliHFMassFitter::NtuParamOneShot(char *ntuname){ | |
531 | // Create, fill and return ntuple with fit parameters | |
532 | ||
533 | InitNtuParam(ntuname); | |
534 | FillNtuParam(); | |
535 | return fntuParam; | |
536 | } | |
537 | //_________________________________________________________________________ | |
538 | ||
539 | void AliHFMassFitter::RebinMass(Int_t bingroup){ | |
540 | // Rebin invariant mass histogram | |
541 | ||
542 | if(!fhistoInvMass){ | |
543 | cout<<"Histogram not set"<<endl; | |
544 | return; | |
545 | } | |
546 | Int_t nbinshisto=fhistoInvMass->GetNbinsX(); | |
547 | if(bingroup<1){ | |
548 | cout<<"Error! Cannot group "<<bingroup<<" bins\n"; | |
549 | fNbin=nbinshisto; | |
550 | cout<<"Kept original number of bins: "<<fNbin<<endl; | |
551 | } else{ | |
552 | ||
553 | while(nbinshisto%bingroup != 0) { | |
554 | bingroup--; | |
555 | } | |
556 | cout<<"Group "<<bingroup<<" bins"<<endl; | |
557 | fhistoInvMass->Rebin(bingroup); | |
558 | fNbin = fhistoInvMass->GetNbinsX(); | |
559 | cout<<"New number of bins: "<<fNbin<<endl; | |
560 | } | |
561 | ||
562 | } | |
563 | ||
564 | //************* fit | |
565 | ||
566 | //___________________________________________________________________________ | |
567 | ||
568 | Double_t AliHFMassFitter::FitFunction4MassDistr (Double_t *x, Double_t *par){ | |
569 | // Fit function for signal+background | |
570 | ||
571 | ||
572 | //exponential or linear fit | |
573 | // | |
574 | // par[0] = tot integral | |
575 | // par[1] = slope | |
576 | // par[2] = gaussian integral | |
577 | // par[3] = gaussian mean | |
578 | // par[4] = gaussian sigma | |
579 | ||
580 | Double_t total,bkg=0,sgn=0; | |
581 | ||
582 | if (ftypeOfFit4Bkg==0 || ftypeOfFit4Bkg==1) { | |
583 | if(ftypeOfFit4Sgn == 0) { | |
584 | ||
585 | Double_t parbkg[2] = {par[0]-par[2], par[1]}; | |
586 | bkg = FitFunction4Bkg(x,parbkg); | |
587 | } | |
588 | if(ftypeOfFit4Sgn == 1) { | |
589 | Double_t parbkg[5] = {par[2],par[3],ffactor*par[4],par[0]-2*par[2], par[1]}; | |
590 | bkg = FitFunction4Bkg(x,parbkg); | |
591 | } | |
592 | ||
593 | sgn = FitFunction4Sgn(x,&par[2]); | |
594 | ||
595 | } | |
596 | ||
597 | //polynomial fit | |
598 | ||
599 | // par[0] = tot integral | |
600 | // par[1] = coef1 | |
601 | // par[2] = coef2 | |
602 | // par[3] = gaussian integral | |
603 | // par[4] = gaussian mean | |
604 | // par[5] = gaussian sigma | |
605 | ||
606 | if (ftypeOfFit4Bkg==2) { | |
607 | ||
608 | if(ftypeOfFit4Sgn == 0) { | |
609 | ||
610 | Double_t parbkg[3] = {par[0]-par[3], par[1], par[2]}; | |
611 | bkg = FitFunction4Bkg(x,parbkg); | |
612 | } | |
613 | if(ftypeOfFit4Sgn == 1) { | |
614 | ||
615 | Double_t parbkg[6] = {par[3],par[4],ffactor*par[5],par[0]-2*par[3], par[1], par[2]}; | |
616 | bkg = FitFunction4Bkg(x,parbkg); | |
617 | } | |
618 | ||
619 | sgn = FitFunction4Sgn(x,&par[3]); | |
620 | } | |
621 | ||
622 | if (ftypeOfFit4Bkg==3) { | |
623 | ||
624 | if(ftypeOfFit4Sgn == 0) { | |
625 | bkg=FitFunction4Bkg(x,par); | |
626 | sgn=FitFunction4Sgn(x,&par[1]); | |
627 | } | |
628 | if(ftypeOfFit4Sgn == 1) { | |
629 | Double_t parbkg[4]={par[1],par[2],ffactor*par[3],par[0]}; | |
630 | bkg=FitFunction4Bkg(x,parbkg); | |
631 | sgn=FitFunction4Sgn(x,&par[1]); | |
632 | } | |
633 | } | |
634 | ||
635 | total = bkg + sgn; | |
636 | ||
637 | return total; | |
638 | } | |
639 | ||
640 | //_________________________________________________________________________ | |
641 | Double_t AliHFMassFitter::FitFunction4Sgn (Double_t *x, Double_t *par){ | |
642 | // Fit function for the signal | |
643 | ||
644 | //gaussian = A/(sigma*sqrt(2*pi))*exp(-(x-mean)^2/2/sigma^2) | |
645 | //Par: | |
646 | // * [0] = integralSgn | |
647 | // * [1] = mean | |
648 | // * [2] = sigma | |
649 | //gaussian = [0]/TMath::Sqrt(2.*TMath::Pi())/[2]*exp[-(x-[1])*(x-[1])/(2*[2]*[2])] | |
650 | ||
651 | return par[0]/TMath::Sqrt(2.*TMath::Pi())/par[2]*TMath::Exp(-(x[0]-par[1])*(x[0]-par[1])/2./par[2]/par[2]); | |
652 | ||
653 | } | |
654 | ||
655 | //__________________________________________________________________________ | |
656 | ||
657 | Double_t AliHFMassFitter::FitFunction4Bkg (Double_t *x, Double_t *par){ | |
658 | // Fit function for the background | |
659 | ||
660 | Double_t maxDeltaM = 4.*fSigmaSgn; | |
661 | if(fSideBands && TMath::Abs(x[0]-fMass) < maxDeltaM) { | |
662 | TF1::RejectPoint(); | |
663 | return 0; | |
664 | } | |
665 | Int_t firstPar=0; | |
666 | Double_t gaus2=0,total=-1; | |
667 | if(ftypeOfFit4Sgn == 1){ | |
668 | firstPar=3; | |
669 | //gaussian = A/(sigma*sqrt(2*pi))*exp(-(x-mean)^2/2/sigma^2) | |
670 | //Par: | |
671 | // * [0] = integralSgn | |
672 | // * [1] = mean | |
673 | // * [2] = sigma | |
674 | //gaussian = [0]/TMath::Sqrt(2.*TMath::Pi())/[2]*exp[-(x-[1])*(x-[1])/(2*[2]*[2])] | |
675 | gaus2 = FitFunction4Sgn(x,par); | |
676 | } | |
677 | ||
678 | switch (ftypeOfFit4Bkg){ | |
679 | case 0: | |
680 | //exponential | |
681 | //exponential = A*exp(B*x) -> integral(exponential)=A/B*exp(B*x)](min,max) | |
682 | //-> A = B*integral/(exp(B*max)-exp(B*min)) where integral can be written | |
683 | //as integralTot- integralGaus (=par [2]) | |
684 | //Par: | |
685 | // * [0] = integralBkg; | |
686 | // * [1] = B; | |
687 | //exponential = [1]*[0]/(exp([1]*max)-exp([1]*min))*exp([1]*x) | |
688 | total = par[0+firstPar]*par[1+firstPar]/(TMath::Exp(par[1+firstPar]*fmaxMass)-TMath::Exp(par[1+firstPar]*fminMass))*TMath::Exp(par[1+firstPar]*x[0]); | |
689 | break; | |
690 | case 1: | |
691 | //linear | |
692 | //y=a+b*x -> integral = a(max-min)+1/2*b*(max^2-min^2) -> a = (integral-1/2*b*(max^2-min^2))/(max-min)=integral/(max-min)-1/2*b*(max+min) | |
693 | // * [0] = integralBkg; | |
694 | // * [1] = b; | |
695 | total= par[0+firstPar]/(fmaxMass-fminMass)+par[1+firstPar]*(x[0]-0.5*(fmaxMass+fminMass)); | |
696 | break; | |
697 | case 2: | |
698 | //polynomial | |
699 | //y=a+b*x+c*x**2 -> integral = a(max-min) + 1/2*b*(max^2-min^2) + | |
700 | //+ 1/3*c*(max^3-min^3) -> | |
701 | //a = (integral-1/2*b*(max^2-min^2)-1/3*c*(max^3-min^3))/(max-min) | |
702 | // * [0] = integralBkg; | |
703 | // * [1] = b; | |
704 | // * [2] = c; | |
705 | total = par[0+firstPar]/(fmaxMass-fminMass)+par[1]*(x[0]-0.5*(fmaxMass+fminMass))+par[2+firstPar]*(x[0]*x[0]-1/3.*(fmaxMass*fmaxMass*fmaxMass-fminMass*fminMass*fminMass)/(fmaxMass-fminMass)); | |
706 | break; | |
707 | case 3: | |
708 | total=par[0+firstPar]; | |
709 | break; | |
710 | // default: | |
711 | // Types of Fit Functions for Background: | |
712 | // * 0 = exponential; | |
713 | // * 1 = linear; | |
714 | // * 2 = polynomial 2nd order | |
715 | // * 3 = no background"<<endl; | |
716 | ||
717 | } | |
718 | return total+gaus2; | |
719 | } | |
720 | ||
721 | //__________________________________________________________________________ | |
722 | Bool_t AliHFMassFitter::SideBandsBounds(){ | |
723 | ||
724 | //determines the ranges of the side bands | |
725 | ||
726 | if (fNbin==0) fNbin=fhistoInvMass->GetNbinsX(); | |
727 | Double_t minHisto=fhistoInvMass->GetBinLowEdge(1); | |
728 | Double_t maxHisto=fhistoInvMass->GetBinLowEdge(fNbin+1); | |
729 | ||
730 | Double_t sidebandldouble,sidebandrdouble; | |
731 | Bool_t leftok=kFALSE, rightok=kFALSE; | |
732 | ||
733 | if(fMass-fminMass < 0 || fmaxMass-fMass <0) { | |
734 | cout<<"Left limit of range > mean or right limit of range < mean: change left/right limit or initial mean value"<<endl; | |
735 | return kFALSE; | |
736 | } | |
737 | ||
738 | //histo limit = fit function limit | |
739 | if((TMath::Abs(fminMass-minHisto) < 1e6 || TMath::Abs(fmaxMass - maxHisto) < 1e6) && (fMass-4.*fSigmaSgn-fminMass) < 1e6){ | |
740 | Double_t coeff = (fMass-fminMass)/fSigmaSgn; | |
741 | sidebandldouble=(fMass-0.5*coeff*fSigmaSgn); | |
742 | sidebandrdouble=(fMass+0.5*coeff*fSigmaSgn); | |
743 | cout<<"Changed number of sigma from 4 to "<<0.5*coeff<<" for the estimation of the side bands"<<endl; | |
744 | if (coeff<3) cout<<"Side bands inside 3 sigma, may be better use ftypeOfFit4Bkg = 3 (only signal)"<<endl; | |
745 | if (coeff<2) { | |
746 | cout<<"Side bands inside 2 sigma. Change mode: ftypeOfFit4Bkg = 3"<<endl; | |
747 | ftypeOfFit4Bkg=3; | |
748 | //set binleft and right without considering SetRangeFit- anyway no bkg! | |
749 | sidebandldouble=(fMass-4.*fSigmaSgn); | |
750 | sidebandrdouble=(fMass+4.*fSigmaSgn); | |
751 | } | |
752 | } | |
753 | else { | |
754 | sidebandldouble=(fMass-4.*fSigmaSgn); | |
755 | sidebandrdouble=(fMass+4.*fSigmaSgn); | |
756 | } | |
757 | ||
758 | cout<<"Left side band "; | |
759 | Double_t tmp=0.; | |
760 | tmp=sidebandldouble; | |
761 | //calculate bin corresponding to fSideBandl | |
762 | fSideBandl=fhistoInvMass->FindBin(sidebandldouble); | |
763 | if (sidebandldouble >= fhistoInvMass->GetBinCenter(fSideBandl)) fSideBandl++; | |
764 | sidebandldouble=fhistoInvMass->GetBinLowEdge(fSideBandl); | |
765 | ||
766 | if(TMath::Abs(tmp-sidebandldouble) > 1e-6){ | |
767 | cout<<tmp<<" is not allowed, changing it to the nearest value allowed: "; | |
768 | leftok=kTRUE; | |
769 | } | |
770 | cout<<sidebandldouble<<" (bin "<<fSideBandl<<")"<<endl; | |
771 | ||
772 | cout<<"Right side band "; | |
773 | tmp=sidebandrdouble; | |
774 | //calculate bin corresponding to fSideBandr | |
775 | fSideBandr=fhistoInvMass->FindBin(sidebandrdouble); | |
776 | if (sidebandrdouble < fhistoInvMass->GetBinCenter(fSideBandr)) fSideBandr--; | |
777 | sidebandrdouble=fhistoInvMass->GetBinLowEdge(fSideBandr+1); | |
778 | ||
779 | if(TMath::Abs(tmp-sidebandrdouble) > 1e-6){ | |
780 | cout<<tmp<<" is not allowed, changing it to the nearest value allowed: "; | |
781 | rightok=kTRUE; | |
782 | } | |
783 | cout<<sidebandrdouble<<" (bin "<<fSideBandr<<")"<<endl; | |
784 | if (fSideBandl==0 || fSideBandr==fNbin) { | |
785 | cout<<"Error! Range too little"; | |
786 | return kFALSE; | |
787 | } | |
788 | return kTRUE; | |
789 | } | |
790 | ||
791 | //__________________________________________________________________________ | |
792 | ||
793 | void AliHFMassFitter::GetSideBandsBounds(Int_t &left, Int_t &right) const{ | |
794 | ||
795 | // get the range of the side bands | |
796 | ||
797 | if (fSideBandl==0 && fSideBandr==0){ | |
798 | cout<<"Use MassFitter method first"<<endl; | |
799 | return; | |
800 | } | |
801 | left=fSideBandl; | |
802 | right=fSideBandr; | |
803 | } | |
804 | ||
805 | //__________________________________________________________________________ | |
806 | Bool_t AliHFMassFitter::CheckRangeFit(){ | |
807 | //check if the limit of the range correspond to the limit of bins. If not reset the limit to the nearer value which satisfy this condition | |
808 | ||
809 | if (!fhistoInvMass) { | |
810 | cout<<"No histogram to fit! SetHisto(TH1F* h) before! "<<endl; | |
811 | return kFALSE; | |
812 | } | |
813 | Bool_t leftok=kFALSE, rightok=kFALSE; | |
814 | Int_t nbins=fhistoInvMass->GetNbinsX(); | |
815 | Double_t minhisto=fhistoInvMass->GetBinLowEdge(1), maxhisto=fhistoInvMass->GetBinLowEdge(nbins+1); | |
816 | ||
817 | //check if limits are inside histogram range | |
818 | ||
819 | if( fminMass-minhisto < 0. ) { | |
820 | cout<<"Out of histogram left bound! Setting to "<<minhisto<<endl; | |
821 | fminMass=minhisto; | |
822 | } | |
823 | if( fmaxMass-maxhisto > 0. ) { | |
824 | cout<<"Out of histogram right bound! Setting to"<<maxhisto<<endl; | |
825 | fmaxMass=maxhisto; | |
826 | } | |
827 | ||
828 | Double_t tmp=0.; | |
829 | tmp=fminMass; | |
830 | //calculate bin corresponding to fminMass | |
831 | fminBinMass=fhistoInvMass->FindBin(fminMass); | |
832 | if (fminMass >= fhistoInvMass->GetBinCenter(fminBinMass)) fminBinMass++; | |
833 | fminMass=fhistoInvMass->GetBinLowEdge(fminBinMass); | |
834 | if(TMath::Abs(tmp-fminMass) > 1e-6){ | |
835 | cout<<"Left bound "<<tmp<<" is not allowed, changing it to the nearest value allowed: "<<fminMass<<endl; | |
836 | leftok=kTRUE; | |
837 | } | |
838 | ||
839 | tmp=fmaxMass; | |
840 | //calculate bin corresponding to fmaxMass | |
841 | fmaxBinMass=fhistoInvMass->FindBin(fmaxMass); | |
842 | if (fmaxMass < fhistoInvMass->GetBinCenter(fmaxBinMass)) fmaxBinMass--; | |
843 | fmaxMass=fhistoInvMass->GetBinLowEdge(fmaxBinMass+1); | |
844 | if(TMath::Abs(tmp-fmaxMass) > 1e-6){ | |
845 | cout<<"Right bound "<<tmp<<" is not allowed, changing it to the nearest value allowed: "<<fmaxMass<<endl; | |
846 | rightok=kTRUE; | |
847 | } | |
848 | ||
849 | return (leftok && rightok); | |
850 | ||
851 | } | |
852 | ||
853 | //__________________________________________________________________________ | |
854 | ||
855 | Bool_t AliHFMassFitter::MassFitter(Bool_t draw){ | |
856 | // Main method of the class: performs the fit of the histogram | |
857 | ||
858 | //Set default fitter Minuit in order to use gMinuit in the contour plots | |
859 | TVirtualFitter::SetDefaultFitter("Minuit"); | |
860 | ||
861 | ||
862 | Bool_t isBkgOnly=kFALSE; | |
863 | ||
864 | Int_t fit1status=RefitWithBkgOnly(kFALSE); | |
865 | if(fit1status){ | |
866 | Int_t checkinnsigma=4; | |
867 | Double_t range[2]={fMass-checkinnsigma*fSigmaSgn,fMass+checkinnsigma*fSigmaSgn}; | |
868 | TF1* func=GetHistoClone()->GetFunction("funcbkgonly"); | |
869 | Double_t intUnderFunc=func->Integral(range[0],range[1]); | |
870 | Double_t intUnderHisto=fhistoInvMass->Integral(fhistoInvMass->FindBin(range[0]),fhistoInvMass->FindBin(range[1]),"width"); | |
871 | cout<<"Pick zone: IntFunc = "<<intUnderFunc<<"; IntHist = "<<intUnderHisto<<"\tDiff = "<<intUnderHisto-intUnderFunc<<"\tRelDiff = "<<(intUnderHisto-intUnderFunc)/intUnderFunc<<endl; | |
872 | Double_t diffUnderPick=(intUnderHisto-intUnderFunc); | |
873 | intUnderFunc=func->Integral(fminMass,fminMass+checkinnsigma*fSigmaSgn); | |
874 | intUnderHisto=fhistoInvMass->Integral(fhistoInvMass->FindBin(fminMass),fhistoInvMass->FindBin(fminMass+checkinnsigma*fSigmaSgn),"width"); | |
875 | cout<<"Band (l) zone: IntFunc = "<<intUnderFunc<<"; IntHist = "<<intUnderHisto<<"\tDiff = "<<intUnderHisto-intUnderFunc<<"\tRelDiff = "<<(intUnderHisto-intUnderFunc)/intUnderFunc<<endl; | |
876 | Double_t diffUnderBands=(intUnderHisto-intUnderFunc); | |
877 | Double_t relDiff=diffUnderPick/diffUnderBands; | |
878 | cout<<"Relative difference = "<<relDiff<<endl; | |
879 | if(TMath::Abs(relDiff) < 1) isBkgOnly=kTRUE; | |
880 | else{ | |
881 | cout<<"Relative difference = "<<relDiff<<": I suppose there is some signal, continue with total fit!"<<endl; | |
882 | } | |
883 | } | |
884 | if(isBkgOnly) { | |
885 | cout<<"INFO!! The histogram contains only background"<<endl; | |
886 | if(draw)DrawFit(); | |
887 | ||
888 | //increase counter of number of fits done | |
889 | fcounter++; | |
890 | ||
891 | return kTRUE; | |
892 | } | |
893 | ||
894 | Int_t bkgPar = fNFinalPars-3; //background function's number of parameters | |
895 | ||
896 | cout<<"fNFinalPars = "<<fNFinalPars<<"\tbkgPar = "<<bkgPar<<endl; | |
897 | ||
898 | ||
899 | TString listname="contourplot"; | |
900 | listname+=fcounter; | |
901 | if(!fContourGraph){ | |
902 | fContourGraph=new TList(); | |
903 | fContourGraph->SetOwner(); | |
904 | } | |
905 | ||
906 | fContourGraph->SetName(listname); | |
907 | ||
908 | ||
909 | //function names | |
910 | TString bkgname="funcbkg"; | |
911 | TString bkg1name="funcbkg1"; | |
912 | TString massname="funcmass"; | |
913 | ||
914 | //Total integral | |
915 | Double_t totInt = fhistoInvMass->Integral(fminBinMass,fmaxBinMass, "width"); | |
916 | cout<<"Here tot integral is = "<<totInt<<"; integral in whole range is "<<fhistoInvMass->Integral("width")<<endl; | |
917 | fSideBands = kTRUE; | |
918 | Double_t width=fhistoInvMass->GetBinWidth(8); | |
919 | cout<<"fNbin"<<fNbin<<endl; | |
920 | if (fNbin==0) fNbin=fhistoInvMass->GetNbinsX(); | |
921 | ||
922 | Bool_t ok=SideBandsBounds(); | |
923 | if(!ok) return kFALSE; | |
924 | ||
925 | //sidebands integral - first approx (from histo) | |
926 | Double_t sideBandsInt=(Double_t)fhistoInvMass->Integral(1,fSideBandl,"width") + (Double_t)fhistoInvMass->Integral(fSideBandr,fNbin,"width"); | |
927 | cout<<"------nbin = "<<fNbin<<"\twidth = "<<width<<"\tbinleft = "<<fSideBandl<<"\tbinright = "<<fSideBandr<<endl; | |
928 | cout<<"------sideBandsInt - first approx = "<<sideBandsInt<<endl; | |
929 | if (sideBandsInt<=0) { | |
930 | cout<<"! sideBandsInt <=0. There's a problem, cannot start the fit"<<endl; | |
931 | return kFALSE; | |
932 | } | |
933 | ||
934 | /*Fit Bkg*/ | |
935 | ||
936 | ||
937 | TF1 *funcbkg = new TF1(bkgname.Data(),this,&AliHFMassFitter::FitFunction4Bkg,fminMass,fmaxMass,bkgPar,"AliHFMassFitter","FitFunction4Bkg"); | |
938 | cout<<"Function name = "<<funcbkg->GetName()<<endl<<endl; | |
939 | ||
940 | funcbkg->SetLineColor(2); //red | |
941 | ||
942 | //first fit for bkg: approx bkgint | |
943 | ||
944 | switch (ftypeOfFit4Bkg) { | |
945 | case 0: //gaus+expo | |
946 | funcbkg->SetParNames("BkgInt","Slope"); | |
947 | funcbkg->SetParameters(sideBandsInt,-2.); | |
948 | break; | |
949 | case 1: | |
950 | funcbkg->SetParNames("BkgInt","Slope"); | |
951 | funcbkg->SetParameters(sideBandsInt,-100.); | |
952 | break; | |
953 | case 2: | |
954 | funcbkg->SetParNames("BkgInt","Coef1","Coef2"); | |
955 | funcbkg->SetParameters(sideBandsInt,-10.,5); | |
956 | break; | |
957 | case 3: | |
958 | if(ftypeOfFit4Sgn==0){ | |
959 | funcbkg->SetParNames("Const"); | |
960 | funcbkg->SetParameter(0,0.); | |
961 | funcbkg->FixParameter(0,0.); | |
962 | } | |
963 | break; | |
964 | default: | |
965 | cout<<"Wrong choise of ftypeOfFit4Bkg ("<<ftypeOfFit4Bkg<<")"<<endl; | |
966 | return kFALSE; | |
967 | break; | |
968 | } | |
969 | cout<<"\nBACKGROUND FIT - only combinatorial"<<endl; | |
970 | Int_t ftypeOfFit4SgnBkp=ftypeOfFit4Sgn; | |
971 | ||
972 | Double_t intbkg1=0,slope1=0,conc1=0; | |
973 | //if only signal and reflection: skip | |
974 | if (!(ftypeOfFit4Bkg==3 && ftypeOfFit4Sgn==1)) { | |
975 | ftypeOfFit4Sgn=0; | |
976 | fhistoInvMass->Fit(bkgname.Data(),"R,L,E,0"); | |
977 | ||
978 | for(Int_t i=0;i<bkgPar;i++){ | |
979 | fFitPars[i]=funcbkg->GetParameter(i); | |
980 | //cout<<i<<"\t"<<funcbkg->GetParameter(i)<<"\t"; | |
981 | fFitPars[fNFinalPars+2*bkgPar+3+i]= funcbkg->GetParError(i); | |
982 | //cout<<fNFinalPars+2*bkgPar+3+i<<"\t"<< funcbkg->GetParError(i)<<endl; | |
983 | } | |
984 | fSideBands = kFALSE; | |
985 | //intbkg1 = funcbkg->GetParameter(0); | |
986 | ||
987 | intbkg1 = funcbkg->Integral(fminMass,fmaxMass); | |
988 | if(ftypeOfFit4Bkg!=3) slope1 = funcbkg->GetParameter(1); | |
989 | if(ftypeOfFit4Bkg==2) conc1 = funcbkg->GetParameter(2); | |
990 | cout<<"First fit: \nintbkg1 = "<<intbkg1<<"\t(Compare with par0 = "<<funcbkg->GetParameter(0)<<")\nslope1= "<<slope1<<"\nconc1 = "<<conc1<<endl; | |
991 | } | |
992 | else cout<<"\t\t//"<<endl; | |
993 | ||
994 | ftypeOfFit4Sgn=ftypeOfFit4SgnBkp; | |
995 | TF1 *funcbkg1=0; | |
996 | if (ftypeOfFit4Sgn == 1) { | |
997 | cout<<"\nBACKGROUND FIT WITH REFLECTION"<<endl; | |
998 | bkgPar+=3; | |
999 | ||
1000 | cout<<"fNFinalPars = "<<fNFinalPars<<"\tbkgPar = "<<bkgPar<<endl; | |
1001 | ||
1002 | funcbkg1 = new TF1(bkg1name.Data(),this,&AliHFMassFitter::FitFunction4Bkg,fminMass,fmaxMass,bkgPar,"AliHFMassFitter","FitFunction4Bkg"); | |
1003 | cout<<"Function name = "<<funcbkg1->GetName()<<endl; | |
1004 | ||
1005 | funcbkg1->SetLineColor(2); //red | |
1006 | ||
1007 | if(ftypeOfFit4Bkg==2){ | |
1008 | cout<<"*** Polynomial Fit ***"<<endl; | |
1009 | funcbkg1->SetParNames("IntGB","MeanGB","SigmaGB","BkgInt","Coef1","Coef2"); | |
1010 | funcbkg1->SetParameters(0.5*(totInt-intbkg1),fMass,ffactor*fSigmaSgn,intbkg1,slope1,conc1); | |
1011 | ||
1012 | //cout<<"Parameters set to: "<<0.5*(totInt-intbkg1)<<"\t"<<fMass<<"\t"<<ffactor*fSigmaSgn<<"\t"<<intbkg1<<"\t"<<slope1<<"\t"<<conc1<<"\t"<<endl; | |
1013 | //cout<<"Limits: ("<<fminMass<<","<<fmaxMass<<")\tnPar = "<<bkgPar<<"\tgsidebands = "<<fSideBands<<endl; | |
1014 | } else{ | |
1015 | if(ftypeOfFit4Bkg==3) //no background: gaus sign+ gaus broadened | |
1016 | { | |
1017 | cout<<"*** No background Fit ***"<<endl; | |
1018 | funcbkg1->SetParNames("IntGB","MeanGB","SigmaGB","Const"); | |
1019 | funcbkg1->SetParameters(0.5*totInt,fMass,ffactor*fSigmaSgn,0.); | |
1020 | funcbkg1->FixParameter(3,0.); | |
1021 | } else{ //expo or linear | |
1022 | if(ftypeOfFit4Bkg==0) cout<<"*** Exponential Fit ***"<<endl; | |
1023 | if(ftypeOfFit4Bkg==1) cout<<"*** Linear Fit ***"<<endl; | |
1024 | funcbkg1->SetParNames("IntGB","MeanGB","SigmaGB","BkgInt","Slope"); | |
1025 | funcbkg1->SetParameters(0.5*(totInt-intbkg1),fMass,ffactor*fSigmaSgn,intbkg1,slope1); | |
1026 | } | |
1027 | } | |
1028 | Int_t status=fhistoInvMass->Fit(bkg1name.Data(),"R,L,E,+,0"); | |
1029 | if (status != 0){ | |
1030 | cout<<"Minuit returned "<<status<<endl; | |
1031 | return kFALSE; | |
1032 | } | |
1033 | ||
1034 | for(Int_t i=0;i<bkgPar;i++){ | |
1035 | fFitPars[bkgPar-3+i]=funcbkg1->GetParameter(i); | |
1036 | //cout<<bkgPar-3+i<<"\t"<<funcbkg1->GetParameter(i); | |
1037 | fFitPars[fNFinalPars+3*bkgPar-6+i]= funcbkg1->GetParError(i); | |
1038 | //cout<<"\t"<<fNFinalPars+3*bkgPar-6+i<<"\t"<<funcbkg1->GetParError(i)<<endl; | |
1039 | } | |
1040 | ||
1041 | intbkg1=funcbkg1->GetParameter(3); | |
1042 | if(ftypeOfFit4Bkg!=3) slope1 = funcbkg1->GetParameter(4); | |
1043 | if(ftypeOfFit4Bkg==2) conc1 = funcbkg1->GetParameter(5); | |
1044 | ||
1045 | } else { | |
1046 | bkgPar+=3; | |
1047 | ||
1048 | for(Int_t i=0;i<3;i++){ | |
1049 | fFitPars[bkgPar-3+i]=0.; | |
1050 | cout<<bkgPar-3+i<<"\t"<<0.<<"\t"; | |
1051 | fFitPars[fNFinalPars+3*bkgPar-6+i]= 0.; | |
1052 | cout<<fNFinalPars+3*bkgPar-6+i<<"\t"<<0.<<endl; | |
1053 | } | |
1054 | ||
1055 | for(Int_t i=0;i<bkgPar-3;i++){ | |
1056 | fFitPars[bkgPar+i]=funcbkg->GetParameter(i); | |
1057 | cout<<bkgPar+i<<"\t"<<funcbkg->GetParameter(i)<<"\t"; | |
1058 | fFitPars[fNFinalPars+3*bkgPar-3+i]= funcbkg->GetParError(i); | |
1059 | cout<<fNFinalPars+3*bkgPar-3+i<<"\t"<< funcbkg->GetParError(i)<<endl; | |
1060 | } | |
1061 | ||
1062 | ||
1063 | } | |
1064 | ||
1065 | //sidebands integral - second approx (from fit) | |
1066 | fSideBands = kFALSE; | |
1067 | Double_t bkgInt; | |
1068 | cout<<"Compare intbkg1 = "<<intbkg1<<" and integral = "; | |
1069 | if(ftypeOfFit4Sgn == 1) bkgInt=funcbkg1->Integral(fminMass,fmaxMass); | |
1070 | else bkgInt=funcbkg->Integral(fminMass,fmaxMass); | |
1071 | cout<</*"------BkgInt(Fit) = "<<*/bkgInt<<endl; | |
1072 | ||
1073 | //Signal integral - first approx | |
1074 | Double_t sgnInt; | |
1075 | sgnInt = totInt-bkgInt; | |
1076 | cout<<"------TotInt = "<<totInt<<"\tsgnInt = "<<sgnInt<<endl; | |
1077 | if (sgnInt <= 0){ | |
1078 | cout<<"Setting sgnInt = - sgnInt"<<endl; | |
1079 | sgnInt=- sgnInt; | |
1080 | } | |
1081 | /*Fit All Mass distribution with exponential + gaussian (+gaussian braodened) */ | |
1082 | TF1 *funcmass = new TF1(massname.Data(),this,&AliHFMassFitter::FitFunction4MassDistr,fminMass,fmaxMass,fNFinalPars,"AliHFMassFitter","FitFunction4MassDistr"); | |
1083 | cout<<"Function name = "<<funcmass->GetName()<<endl<<endl; | |
1084 | funcmass->SetLineColor(4); //blue | |
1085 | ||
1086 | //Set parameters | |
1087 | cout<<"\nTOTAL FIT"<<endl; | |
1088 | ||
1089 | if(fNFinalPars==5){ | |
1090 | funcmass->SetParNames("TotInt","Slope","SgnInt","Mean","Sigma"); | |
1091 | funcmass->SetParameters(totInt,slope1,sgnInt,fMass,fSigmaSgn); | |
1092 | ||
1093 | //cout<<"Parameters set to: "<<totInt<<"\t"<<slope1<<"\t"<<sgnInt<<"\t"<<fMass<<"\t"<<fSigmaSgn<<"\t"<<endl; | |
1094 | //cout<<"Limits: ("<<fminMass<<","<<fmaxMass<<")\tnPar = "<<fNFinalPars<<"\tgsidebands = "<<fSideBands<<endl; | |
1095 | if(fFixPar[0]){ | |
1096 | cout<<"fix1"<<endl; | |
1097 | funcmass->FixParameter(0,totInt); | |
1098 | } | |
1099 | if(fFixPar[1]){ | |
1100 | cout<<"fix2"<<endl; | |
1101 | funcmass->FixParameter(1,slope1); | |
1102 | } | |
1103 | if(fFixPar[2]){ | |
1104 | cout<<"fix3"<<endl; | |
1105 | funcmass->FixParameter(2,sgnInt); | |
1106 | } | |
1107 | if(fFixPar[3]){ | |
1108 | cout<<"fix4"<<endl; | |
1109 | funcmass->FixParameter(3,fMass); | |
1110 | } | |
1111 | if(fFixPar[4]){ | |
1112 | cout<<"fix5"<<endl; | |
1113 | funcmass->FixParameter(4,fSigmaSgn); | |
1114 | } | |
1115 | } | |
1116 | if (fNFinalPars==6){ | |
1117 | funcmass->SetParNames("TotInt","Coef1","Coef2","SgnInt","Mean","Sigma"); | |
1118 | funcmass->SetParameters(totInt,slope1,conc1,sgnInt,fMass,fSigmaSgn); | |
1119 | ||
1120 | //cout<<"Parameters set to: "<<totInt<<"\t"<<slope1<<"\t"<<conc1<<"\t"<<sgnInt<<"\t"<<fMass<<"\t"<<fSigmaSgn<<"\t"<<endl; | |
1121 | //cout<<"Limits: ("<<fminMass<<","<<fmaxMass<<")\tnPar = "<<fNFinalPars<<"\tgsidebands = "<<fSideBands<<endl; | |
1122 | if(fFixPar[0])funcmass->FixParameter(0,totInt); | |
1123 | if(fFixPar[1])funcmass->FixParameter(1,slope1); | |
1124 | if(fFixPar[2])funcmass->FixParameter(2,conc1); | |
1125 | if(fFixPar[3])funcmass->FixParameter(3,sgnInt); | |
1126 | if(fFixPar[4])funcmass->FixParameter(4,fMass); | |
1127 | if(fFixPar[5])funcmass->FixParameter(5,fSigmaSgn); | |
1128 | // | |
1129 | //funcmass->FixParameter(2,sgnInt); | |
1130 | } | |
1131 | if(fNFinalPars==4){ | |
1132 | funcmass->SetParNames("Const","SgnInt","Mean","Sigma"); | |
1133 | if(ftypeOfFit4Sgn == 1) funcmass->SetParameters(0.,0.5*totInt,fMass,fSigmaSgn); | |
1134 | else funcmass->SetParameters(0.,totInt,fMass,fSigmaSgn); | |
1135 | if(fFixPar[0]) funcmass->FixParameter(0,0.); | |
1136 | //cout<<"Parameters set to: "<<0.5*totInt<<"\t"<<fMass<<"\t"<<fSigmaSgn<<"\t"<<endl; | |
1137 | //cout<<"Limits: ("<<fminMass<<","<<fmaxMass<<")\tnPar = "<<fNFinalPars<<"\tgsidebands = "<<fSideBands<<endl; | |
1138 | ||
1139 | } | |
1140 | ||
1141 | Int_t status; | |
1142 | ||
1143 | status = fhistoInvMass->Fit(massname.Data(),"R,L,E,+,0"); | |
1144 | if (status != 0){ | |
1145 | cout<<"Minuit returned "<<status<<endl; | |
1146 | return kFALSE; | |
1147 | } | |
1148 | ||
1149 | cout<<"fit done"<<endl; | |
1150 | //reset value of fMass and fSigmaSgn to those found from fit | |
1151 | fMass=funcmass->GetParameter(fNFinalPars-2); | |
1152 | fSigmaSgn=funcmass->GetParameter(fNFinalPars-1); | |
1153 | ||
1154 | for(Int_t i=0;i<fNFinalPars;i++){ | |
1155 | fFitPars[i+2*bkgPar-3]=funcmass->GetParameter(i); | |
1156 | fFitPars[fNFinalPars+4*bkgPar-6+i]= funcmass->GetParError(i); | |
1157 | //cout<<i+2*bkgPar-3<<"\t"<<funcmass->GetParameter(i)<<"\t\t"<<fNFinalPars+4*bkgPar-6+i<<"\t"<<funcmass->GetParError(i)<<endl; | |
1158 | } | |
1159 | /* | |
1160 | //check: cout parameters | |
1161 | for(Int_t i=0;i<2*(fNFinalPars+2*bkgPar-3);i++){ | |
1162 | cout<<i<<"\t"<<fFitPars[i]<<endl; | |
1163 | } | |
1164 | */ | |
1165 | ||
1166 | if(funcmass->GetParameter(fNFinalPars-1) <0 || funcmass->GetParameter(fNFinalPars-2) <0 || funcmass->GetParameter(fNFinalPars-3) <0 ) { | |
1167 | cout<<"IntS or mean or sigma negative. You may tray to SetInitialGaussianSigma(..) and SetInitialGaussianMean(..)"<<endl; | |
1168 | return kFALSE; | |
1169 | } | |
1170 | ||
1171 | //increase counter of number of fits done | |
1172 | fcounter++; | |
1173 | ||
1174 | //contour plots | |
1175 | if(draw){ | |
1176 | ||
1177 | for (Int_t kpar=1; kpar<fNFinalPars;kpar++){ | |
1178 | ||
1179 | for(Int_t jpar=kpar+1;jpar<fNFinalPars;jpar++){ | |
1180 | cout<<"Par "<<kpar<<" and "<<jpar<<endl; | |
1181 | ||
1182 | // produce 2 contours per couple of parameters | |
1183 | TGraph* cont[2] = {0x0, 0x0}; | |
1184 | const Double_t errDef[2] = {1., 4.}; | |
1185 | for (Int_t i=0; i<2; i++) { | |
1186 | gMinuit->SetErrorDef(errDef[i]); | |
1187 | cont[i] = (TGraph*)gMinuit->Contour(80,kpar,jpar); | |
1188 | cout<<"Minuit Status = "<<gMinuit->GetStatus()<<endl; | |
1189 | } | |
1190 | ||
1191 | if(!cont[0] || !cont[1]){ | |
1192 | cout<<"Skipping par "<<kpar<<" vs par "<<jpar<<endl; | |
1193 | continue; | |
1194 | } | |
1195 | ||
1196 | // set graph titles and add them to the list | |
1197 | TString title = "Contour plot"; | |
1198 | TString titleX = funcmass->GetParName(kpar); | |
1199 | TString titleY = funcmass->GetParName(jpar); | |
1200 | for (Int_t i=0; i<2; i++) { | |
1201 | cont[i]->SetName( Form("cperr%d_%d%d", i, kpar, jpar) ); | |
1202 | cont[i]->SetTitle(title); | |
1203 | cont[i]->GetXaxis()->SetTitle(titleX); | |
1204 | cont[i]->GetYaxis()->SetTitle(titleY); | |
1205 | cont[i]->GetYaxis()->SetLabelSize(0.033); | |
1206 | cont[i]->GetYaxis()->SetTitleSize(0.033); | |
1207 | cont[i]->GetYaxis()->SetTitleOffset(1.67); | |
1208 | ||
1209 | fContourGraph->Add(cont[i]); | |
1210 | } | |
1211 | ||
1212 | // plot them | |
1213 | TString cvname = Form("c%d%d", kpar, jpar); | |
1214 | TCanvas *c4=new TCanvas(cvname,cvname,600,600); | |
1215 | c4->cd(); | |
1216 | cont[1]->SetFillColor(38); | |
1217 | cont[1]->Draw("alf"); | |
1218 | cont[0]->SetFillColor(9); | |
1219 | cont[0]->Draw("lf"); | |
1220 | ||
1221 | } | |
1222 | ||
1223 | } | |
1224 | ||
1225 | } | |
1226 | ||
1227 | if (ftypeOfFit4Sgn == 1 && funcbkg1) { | |
1228 | delete funcbkg1; | |
1229 | funcbkg1=NULL; | |
1230 | } | |
1231 | if (funcbkg) { | |
1232 | delete funcbkg; | |
1233 | funcbkg=NULL; | |
1234 | } | |
1235 | if (funcmass) { | |
1236 | delete funcmass; | |
1237 | funcmass=NULL; | |
1238 | } | |
1239 | ||
1240 | AddFunctionsToHisto(); | |
1241 | if (draw) DrawFit(); | |
1242 | ||
1243 | ||
1244 | return kTRUE; | |
1245 | } | |
1246 | ||
1247 | //______________________________________________________________________________ | |
1248 | ||
1249 | Bool_t AliHFMassFitter::RefitWithBkgOnly(Bool_t draw){ | |
1250 | ||
1251 | //perform a fit with background function only. Can be useful to try when fit fails to understand if it is because there's no signal | |
1252 | //If you want to change the backgroud function or range use SetType or SetRangeFit before | |
1253 | ||
1254 | TString bkgname="funcbkgonly"; | |
1255 | fSideBands = kFALSE; | |
1256 | ||
1257 | TF1* funcbkg = new TF1(bkgname.Data(),this,&AliHFMassFitter::FitFunction4Bkg,fminMass,fmaxMass,fNFinalPars-3,"AliHFMassFitter","FitFunction4Bkg"); | |
1258 | ||
1259 | funcbkg->SetLineColor(kBlue+3); //dark blue | |
1260 | ||
1261 | Double_t integral=fhistoInvMass->Integral(fhistoInvMass->FindBin(fminMass),fhistoInvMass->FindBin(fmaxMass),"width"); | |
1262 | ||
1263 | switch (ftypeOfFit4Bkg) { | |
1264 | case 0: //gaus+expo | |
1265 | funcbkg->SetParNames("BkgInt","Slope"); | |
1266 | funcbkg->SetParameters(integral,-2.); | |
1267 | break; | |
1268 | case 1: | |
1269 | funcbkg->SetParNames("BkgInt","Slope"); | |
1270 | funcbkg->SetParameters(integral,-100.); | |
1271 | break; | |
1272 | case 2: | |
1273 | funcbkg->SetParNames("BkgInt","Coef1","Coef2"); | |
1274 | funcbkg->SetParameters(integral,-10.,5); | |
1275 | break; | |
1276 | case 3: | |
1277 | cout<<"Warning! This choice does not have a lot of sense..."<<endl; | |
1278 | if(ftypeOfFit4Sgn==0){ | |
1279 | funcbkg->SetParNames("Const"); | |
1280 | funcbkg->SetParameter(0,0.); | |
1281 | funcbkg->FixParameter(0,0.); | |
1282 | } | |
1283 | break; | |
1284 | default: | |
1285 | cout<<"Wrong choise of ftypeOfFit4Bkg ("<<ftypeOfFit4Bkg<<")"<<endl; | |
1286 | return kFALSE; | |
1287 | break; | |
1288 | } | |
1289 | ||
1290 | ||
1291 | Int_t status=fhistoInvMass->Fit(bkgname.Data(),"R,L,E,+,0"); | |
1292 | if (status != 0){ | |
1293 | cout<<"Minuit returned "<<status<<endl; | |
1294 | return kFALSE; | |
1295 | } | |
1296 | AddFunctionsToHisto(); | |
1297 | ||
1298 | if(draw) DrawFit(); | |
1299 | ||
1300 | return kTRUE; | |
1301 | ||
1302 | } | |
1303 | //_________________________________________________________________________ | |
1304 | Double_t AliHFMassFitter::GetChiSquare() const{ | |
1305 | TF1 *funcmass=(TF1*)fhistoInvMass->GetFunction("funcmass"); | |
1306 | if(!funcmass) { | |
1307 | cout<<"funcmass not found"<<endl; | |
1308 | return -1; | |
1309 | } | |
1310 | return funcmass->GetChisquare(); | |
1311 | } | |
1312 | ||
1313 | //_________________________________________________________________________ | |
1314 | Double_t AliHFMassFitter::GetReducedChiSquare() const{ | |
1315 | TF1 *funcmass=(TF1*)fhistoInvMass->GetFunction("funcmass"); | |
1316 | if(!funcmass) { | |
1317 | cout<<"funcmass not found"<<endl; | |
1318 | return -1; | |
1319 | } | |
1320 | return funcmass->GetChisquare()/funcmass->GetNDF(); | |
1321 | } | |
1322 | ||
1323 | //*********output | |
1324 | ||
1325 | //_________________________________________________________________________ | |
1326 | void AliHFMassFitter::GetFitPars(Float_t *vector) const { | |
1327 | // Return fit parameters | |
1328 | ||
1329 | for(Int_t i=0;i<fParsSize;i++){ | |
1330 | vector[i]=fFitPars[i]; | |
1331 | } | |
1332 | } | |
1333 | ||
1334 | ||
1335 | //_________________________________________________________________________ | |
1336 | void AliHFMassFitter::IntS(Float_t *valuewitherror) const { | |
1337 | ||
1338 | //gives the integral of signal obtained from fit parameters | |
1339 | if(!valuewitherror)valuewitherror=new Float_t[2]; | |
1340 | ||
1341 | Int_t index=fParsSize/2 - 3; | |
1342 | valuewitherror[0]=fFitPars[index]; | |
1343 | index=fParsSize - 3; | |
1344 | valuewitherror[1]=fFitPars[index]; | |
1345 | } | |
1346 | ||
1347 | ||
1348 | //_________________________________________________________________________ | |
1349 | void AliHFMassFitter::AddFunctionsToHisto(){ | |
1350 | ||
1351 | //Add the background function in the complete range to the list of functions attached to the histogram | |
1352 | ||
1353 | cout<<"AddFunctionsToHisto called"<<endl; | |
1354 | TString bkgname = "funcbkg"; | |
1355 | ||
1356 | Bool_t done1=kFALSE,done2=kFALSE; | |
1357 | ||
1358 | TString bkgnamesave=bkgname; | |
1359 | TString testname=bkgname; | |
1360 | testname += "FullRange"; | |
1361 | TF1 *testfunc=(TF1*)fhistoInvMass->FindObject(testname.Data()); | |
1362 | if(testfunc){ | |
1363 | done1=kTRUE; | |
1364 | testfunc=0x0; | |
1365 | } | |
1366 | testname="funcbkgonly"; | |
1367 | testfunc=(TF1*)fhistoInvMass->FindObject(testname.Data()); | |
1368 | if(testfunc){ | |
1369 | done2=kTRUE; | |
1370 | testfunc=0x0; | |
1371 | } | |
1372 | ||
1373 | if(done1 && done2){ | |
1374 | cout<<"AddFunctionsToHisto already used: exiting...."<<endl; | |
1375 | return; | |
1376 | } | |
1377 | ||
1378 | TList *hlist=fhistoInvMass->GetListOfFunctions(); | |
1379 | hlist->ls(); | |
1380 | ||
1381 | if(!done2){ | |
1382 | TF1 *bonly=(TF1*)hlist->FindObject(testname.Data()); | |
1383 | if(!bonly){ | |
1384 | cout<<testname.Data()<<" not found looking for complete fit"<<endl; | |
1385 | }else{ | |
1386 | bonly->SetLineColor(kBlue+3); | |
1387 | hlist->Add((TF1*)bonly->Clone()); | |
1388 | if(bonly) { | |
1389 | delete bonly; | |
1390 | bonly=NULL; | |
1391 | } | |
1392 | } | |
1393 | ||
1394 | } | |
1395 | ||
1396 | if(!done1){ | |
1397 | TF1 *b=(TF1*)hlist->FindObject(bkgname.Data()); | |
1398 | if(!b){ | |
1399 | cout<<bkgname<<" not found, cannot produce "<<bkgname<<"FullRange and "<<bkgname<<"Recalc"<<endl; | |
1400 | return; | |
1401 | } | |
1402 | ||
1403 | bkgname += "FullRange"; | |
1404 | TF1 *bfullrange=new TF1(bkgname.Data(),this,&AliHFMassFitter::FitFunction4Bkg,fminMass,fmaxMass,fNFinalPars,"AliHFMassFitter","FitFunction4Bkg"); | |
1405 | //cout<<bfullrange->GetName()<<endl; | |
1406 | for(Int_t i=0;i<fNFinalPars;i++){ | |
1407 | //cout<<i<<" di "<<fNFinalPars<<endl; | |
1408 | bfullrange->SetParName(i,b->GetParName(i)); | |
1409 | bfullrange->SetParameter(i,b->GetParameter(i)); | |
1410 | bfullrange->SetParError(i,b->GetParError(i)); | |
1411 | } | |
1412 | bfullrange->SetLineStyle(4); | |
1413 | bfullrange->SetLineColor(14); | |
1414 | ||
1415 | bkgnamesave += "Recalc"; | |
1416 | ||
1417 | TF1 *blastpar=new TF1(bkgnamesave.Data(),this,&AliHFMassFitter::FitFunction4Bkg,fminMass,fmaxMass,fNFinalPars,"AliHFMassFitter","FitFunction4Bkg"); | |
1418 | ||
1419 | TF1 *mass=fhistoInvMass->GetFunction("funcmass"); | |
1420 | ||
1421 | if (!mass){ | |
1422 | cout<<"funcmass doesn't exist "<<endl; | |
1423 | return; | |
1424 | } | |
1425 | ||
1426 | //intBkg=intTot-intS | |
1427 | blastpar->SetParameter(0,mass->GetParameter(0)-mass->GetParameter(fNFinalPars-3)); | |
1428 | blastpar->SetParError(0,mass->GetParError(fNFinalPars-3)); | |
1429 | if (fNFinalPars>=2) { | |
1430 | blastpar->SetParameter(1,mass->GetParameter(1)); | |
1431 | blastpar->SetParError(1,mass->GetParError(1)); | |
1432 | } | |
1433 | if (fNFinalPars==3) { | |
1434 | blastpar->SetParameter(2,mass->GetParameter(2)); | |
1435 | blastpar->SetParError(2,mass->GetParError(2)); | |
1436 | } | |
1437 | ||
1438 | blastpar->SetLineStyle(1); | |
1439 | blastpar->SetLineColor(2); | |
1440 | ||
1441 | hlist->Add((TF1*)bfullrange->Clone()); | |
1442 | hlist->Add((TF1*)blastpar->Clone()); | |
1443 | hlist->ls(); | |
1444 | ||
1445 | if(bfullrange) { | |
1446 | delete bfullrange; | |
1447 | bfullrange=NULL; | |
1448 | } | |
1449 | if(blastpar) { | |
1450 | delete blastpar; | |
1451 | blastpar=NULL; | |
1452 | } | |
1453 | } | |
1454 | ||
1455 | ||
1456 | } | |
1457 | ||
1458 | //_________________________________________________________________________ | |
1459 | ||
1460 | TH1F* AliHFMassFitter::GetHistoClone() const{ | |
1461 | ||
1462 | TH1F* hout=(TH1F*)fhistoInvMass->Clone(fhistoInvMass->GetName()); | |
1463 | return hout; | |
1464 | } | |
1465 | //_________________________________________________________________________ | |
1466 | ||
1467 | void AliHFMassFitter::WriteHisto(TString path) const { | |
1468 | ||
1469 | //Write the histogram in the default file HFMassFitterOutput.root | |
1470 | ||
1471 | if (fcounter == 0) { | |
1472 | cout<<"Use MassFitter method before WriteHisto"<<endl; | |
1473 | return; | |
1474 | } | |
1475 | TH1F* hget=(TH1F*)fhistoInvMass->Clone(); | |
1476 | ||
1477 | path += "HFMassFitterOutput.root"; | |
1478 | TFile *output; | |
1479 | ||
1480 | if (fcounter == 1) output = new TFile(path.Data(),"recreate"); | |
1481 | else output = new TFile(path.Data(),"update"); | |
1482 | output->cd(); | |
1483 | hget->Write(); | |
1484 | fContourGraph->Write(); | |
1485 | ||
1486 | ||
1487 | output->Close(); | |
1488 | ||
1489 | cout<<fcounter<<" "<<hget->GetName()<<" written in "<<path<<endl; | |
1490 | ||
1491 | if(output) { | |
1492 | delete output; | |
1493 | output=NULL; | |
1494 | } | |
1495 | ||
1496 | } | |
1497 | ||
1498 | //_________________________________________________________________________ | |
1499 | ||
1500 | void AliHFMassFitter::WriteNtuple(TString path) const{ | |
1501 | //TNtuple* nget=(TNtuple*)fntuParam->Clone(); | |
1502 | path += "HFMassFitterOutput.root"; | |
1503 | TFile *output = new TFile(path.Data(),"update"); | |
1504 | output->cd(); | |
1505 | fntuParam->Write(); | |
1506 | //nget->Write(); | |
1507 | output->Close(); | |
1508 | //cout<<nget->GetName()<<" written in "<<path<<endl; | |
1509 | cout<<fntuParam->GetName()<<" written in "<<path<<endl; | |
1510 | /* | |
1511 | if(nget) { | |
1512 | //delete nget; | |
1513 | nget=NULL; | |
1514 | } | |
1515 | */ | |
1516 | if(output) { | |
1517 | delete output; | |
1518 | output=NULL; | |
1519 | } | |
1520 | } | |
1521 | ||
1522 | //_________________________________________________________________________ | |
1523 | void AliHFMassFitter::WriteCanvas(TString userIDstring,TString path,Double_t nsigma,Int_t writeFitInfo,Bool_t draw) const{ | |
1524 | ||
1525 | //write the canvas in a root file | |
1526 | ||
1527 | gStyle->SetOptStat(0); | |
1528 | gStyle->SetCanvasColor(0); | |
1529 | gStyle->SetFrameFillColor(0); | |
1530 | ||
1531 | TString type=""; | |
1532 | ||
1533 | switch (ftypeOfFit4Bkg){ | |
1534 | case 0: | |
1535 | type="Exp"; //3+2 | |
1536 | break; | |
1537 | case 1: | |
1538 | type="Lin"; //3+2 | |
1539 | break; | |
1540 | case 2: | |
1541 | type="Pl2"; //3+3 | |
1542 | break; | |
1543 | case 3: | |
1544 | type="noB"; //3+1 | |
1545 | break; | |
1546 | } | |
1547 | ||
1548 | TString filename=Form("%sMassFit.root",type.Data()); | |
1549 | filename.Prepend(userIDstring); | |
1550 | path.Append(filename); | |
1551 | ||
1552 | TFile* outputcv=new TFile(path.Data(),"update"); | |
1553 | ||
1554 | TCanvas* c=(TCanvas*)GetPad(nsigma,writeFitInfo); | |
1555 | c->SetName(Form("%s%s%s",c->GetName(),userIDstring.Data(),type.Data())); | |
1556 | if(draw)c->DrawClone(); | |
1557 | outputcv->cd(); | |
1558 | c->Write(); | |
1559 | outputcv->Close(); | |
1560 | } | |
1561 | ||
1562 | //_________________________________________________________________________ | |
1563 | ||
1564 | TVirtualPad* AliHFMassFitter::GetPad(Double_t nsigma,Int_t writeFitInfo)const{ | |
1565 | //return a TVirtualPad with the fitted histograms and info | |
1566 | ||
1567 | TString cvtitle="fit of "; | |
1568 | cvtitle+=fhistoInvMass->GetName(); | |
1569 | TString cvname="c"; | |
1570 | cvname+=fcounter; | |
1571 | ||
1572 | TCanvas *c=new TCanvas(cvname,cvtitle); | |
1573 | PlotFit(c->cd(),nsigma,writeFitInfo); | |
1574 | return c->cd(); | |
1575 | } | |
1576 | //_________________________________________________________________________ | |
1577 | ||
1578 | void AliHFMassFitter::PlotFit(TVirtualPad* pd,Double_t nsigma,Int_t writeFitInfo)const{ | |
1579 | //plot histogram, fit functions and write parameters according to verbosity level (0,1,>1) | |
1580 | gStyle->SetOptStat(0); | |
1581 | gStyle->SetCanvasColor(0); | |
1582 | gStyle->SetFrameFillColor(0); | |
1583 | ||
1584 | cout<<"nsigma = "<<nsigma<<endl; | |
1585 | cout<<"Verbosity = "<<writeFitInfo<<endl; | |
1586 | ||
1587 | TH1F* hdraw=GetHistoClone(); | |
1588 | ||
1589 | if(!hdraw->GetFunction("funcmass") && !hdraw->GetFunction("funcbkgFullRange") && !hdraw->GetFunction("funcbkgRecalc")&& !hdraw->GetFunction("funcbkgonly")){ | |
1590 | cout<<"Probably fit failed and you didn't try to refit with background only, there's no function to be drawn"<<endl; | |
1591 | return; | |
1592 | } | |
1593 | ||
1594 | if(hdraw->GetFunction("funcbkgonly")){ //Warning! if this function is present, no chance to draw the other! | |
1595 | cout<<"Drawing background fit only"<<endl; | |
1596 | hdraw->SetMinimum(0); | |
1597 | hdraw->GetXaxis()->SetRangeUser(fminMass,fmaxMass); | |
1598 | pd->cd(); | |
1599 | hdraw->SetMarkerStyle(20); | |
1600 | hdraw->DrawClone("PE"); | |
1601 | hdraw->GetFunction("funcbkgonly")->DrawClone("sames"); | |
1602 | ||
1603 | if(writeFitInfo > 0){ | |
1604 | TPaveText *pinfo=new TPaveText(0.6,0.86,1.,1.,"NDC"); | |
1605 | pinfo->SetBorderSize(0); | |
1606 | pinfo->SetFillStyle(0); | |
1607 | TF1* f=hdraw->GetFunction("funcbkgonly"); | |
1608 | for (Int_t i=0;i<fNFinalPars-3;i++){ | |
1609 | pinfo->SetTextColor(kBlue+3); | |
1610 | TString str=Form("%s = %f #pm %f",f->GetParName(i),f->GetParameter(i),f->GetParError(i)); | |
1611 | pinfo->AddText(str); | |
1612 | } | |
1613 | ||
1614 | pinfo->AddText(Form("Reduced #chi^{2} = %.3f",f->GetChisquare()/f->GetNDF())); | |
1615 | pd->cd(); | |
1616 | pinfo->DrawClone(); | |
1617 | ||
1618 | ||
1619 | } | |
1620 | ||
1621 | return; | |
1622 | } | |
1623 | ||
1624 | hdraw->SetMinimum(0); | |
1625 | hdraw->GetXaxis()->SetRangeUser(fminMass,fmaxMass); | |
1626 | pd->cd(); | |
1627 | hdraw->SetMarkerStyle(20); | |
1628 | hdraw->DrawClone("PE"); | |
1629 | if(hdraw->GetFunction("funcbkgFullRange")) hdraw->GetFunction("funcbkgFullRange")->DrawClone("same"); | |
1630 | if(hdraw->GetFunction("funcbkgRecalc")) hdraw->GetFunction("funcbkgRecalc")->DrawClone("same"); | |
1631 | if(hdraw->GetFunction("funcmass")) hdraw->GetFunction("funcmass")->DrawClone("same"); | |
1632 | ||
1633 | if(writeFitInfo > 0){ | |
1634 | TPaveText *pinfob=new TPaveText(0.6,0.86,1.,1.,"NDC"); | |
1635 | TPaveText *pinfom=new TPaveText(0.6,0.7,1.,.87,"NDC"); | |
1636 | pinfob->SetBorderSize(0); | |
1637 | pinfob->SetFillStyle(0); | |
1638 | pinfom->SetBorderSize(0); | |
1639 | pinfom->SetFillStyle(0); | |
1640 | TF1* ff=fhistoInvMass->GetFunction("funcmass"); | |
1641 | ||
1642 | for (Int_t i=fNFinalPars-3;i<fNFinalPars;i++){ | |
1643 | pinfom->SetTextColor(kBlue); | |
1644 | TString str=Form("%s = %f #pm %f",ff->GetParName(i),ff->GetParameter(i),ff->GetParError(i)); | |
1645 | if(!(writeFitInfo==1 && i==fNFinalPars-3)) pinfom->AddText(str); | |
1646 | } | |
1647 | pd->cd(); | |
1648 | pinfom->DrawClone(); | |
1649 | ||
1650 | TPaveText *pinfo2=new TPaveText(0.1,0.1,0.6,0.4,"NDC"); | |
1651 | pinfo2->SetBorderSize(0); | |
1652 | pinfo2->SetFillStyle(0); | |
1653 | ||
1654 | Double_t signif, signal, bkg, errsignif, errsignal, errbkg; | |
1655 | ||
1656 | Significance(nsigma,signif,errsignif); | |
1657 | Signal(nsigma,signal,errsignal); | |
1658 | Background(nsigma,bkg, errbkg); | |
1659 | /* | |
1660 | Significance(1.828,1.892,signif,errsignif); | |
1661 | Signal(1.828,1.892,signal,errsignal); | |
1662 | Background(1.828,1.892,bkg, errbkg); | |
1663 | */ | |
1664 | TString str=Form("Significance (%.0f#sigma) %.1f #pm %.1f ",nsigma,signif,errsignif); | |
1665 | pinfo2->AddText(str); | |
1666 | str=Form("S (%.0f#sigma) %.0f #pm %.0f ",nsigma,signal,errsignal); | |
1667 | pinfo2->AddText(str); | |
1668 | str=Form("B (%.0f#sigma) %.0f #pm %.0f",nsigma,bkg,errbkg); | |
1669 | pinfo2->AddText(str); | |
1670 | ||
1671 | pd->cd(); | |
1672 | pinfo2->Draw(); | |
1673 | ||
1674 | if(writeFitInfo > 1){ | |
1675 | for (Int_t i=0;i<fNFinalPars-3;i++){ | |
1676 | pinfob->SetTextColor(kRed); | |
1677 | str=Form("%s = %f #pm %f",ff->GetParName(i),ff->GetParameter(i),ff->GetParError(i)); | |
1678 | pinfob->AddText(str); | |
1679 | } | |
1680 | pd->cd(); | |
1681 | pinfob->DrawClone(); | |
1682 | } | |
1683 | ||
1684 | ||
1685 | } | |
1686 | return; | |
1687 | } | |
1688 | ||
1689 | //_________________________________________________________________________ | |
1690 | ||
1691 | void AliHFMassFitter::DrawHere(TVirtualPad* pd,Double_t nsigma,Int_t writeFitInfo) const { | |
1692 | //draws histogram together with fit functions with default nice colors in user canvas | |
1693 | PlotFit(pd,nsigma,writeFitInfo); | |
1694 | ||
1695 | pd->Draw(); | |
1696 | ||
1697 | } | |
1698 | //_________________________________________________________________________ | |
1699 | void AliHFMassFitter::DrawFit(Double_t nsigma) const{ | |
1700 | ||
1701 | //draws histogram together with fit functions with default nice colors | |
1702 | gStyle->SetOptStat(0); | |
1703 | gStyle->SetCanvasColor(0); | |
1704 | gStyle->SetFrameFillColor(0); | |
1705 | ||
1706 | ||
1707 | TCanvas* c=(TCanvas*)GetPad(nsigma,1); | |
1708 | c->Draw(); | |
1709 | ||
1710 | } | |
1711 | ||
1712 | ||
1713 | //_________________________________________________________________________ | |
1714 | ||
1715 | void AliHFMassFitter::PrintParTitles() const{ | |
1716 | ||
1717 | //prints to screen the parameters names | |
1718 | ||
1719 | TF1 *f=fhistoInvMass->GetFunction("funcmass"); | |
1720 | if(!f) { | |
1721 | cout<<"Fit function not found"<<endl; | |
1722 | return; | |
1723 | } | |
1724 | ||
1725 | cout<<"Parameter Titles \n"; | |
1726 | for(Int_t i=0;i<fNFinalPars;i++){ | |
1727 | cout<<"Par "<<i<<": "<<f->GetParName(i)<<endl; | |
1728 | } | |
1729 | cout<<endl; | |
1730 | ||
1731 | } | |
1732 | ||
1733 | //************ significance | |
1734 | ||
1735 | //_________________________________________________________________________ | |
1736 | ||
1737 | void AliHFMassFitter::Signal(Double_t nOfSigma,Double_t &signal,Double_t &errsignal) const { | |
1738 | // Return signal integral in mean+- n sigma | |
1739 | ||
1740 | if(fcounter==0) { | |
1741 | cout<<"Use MassFitter method before Signal"<<endl; | |
1742 | return; | |
1743 | } | |
1744 | ||
1745 | Double_t min=fMass-nOfSigma*fSigmaSgn; | |
1746 | Double_t max=fMass+nOfSigma*fSigmaSgn; | |
1747 | ||
1748 | Signal(min,max,signal,errsignal); | |
1749 | ||
1750 | ||
1751 | return; | |
1752 | ||
1753 | } | |
1754 | ||
1755 | //_________________________________________________________________________ | |
1756 | ||
1757 | void AliHFMassFitter::Signal(Double_t min, Double_t max, Double_t &signal,Double_t &errsignal) const { | |
1758 | ||
1759 | // Return signal integral in a range | |
1760 | ||
1761 | if(fcounter==0) { | |
1762 | cout<<"Use MassFitter method before Signal"<<endl; | |
1763 | return; | |
1764 | } | |
1765 | ||
1766 | //functions names | |
1767 | TString bkgname="funcbkgRecalc"; | |
1768 | TString bkg1name="funcbkg1Recalc"; | |
1769 | TString massname="funcmass"; | |
1770 | ||
1771 | ||
1772 | TF1 *funcbkg=0; | |
1773 | TF1 *funcmass=fhistoInvMass->GetFunction(massname.Data()); | |
1774 | if(!funcmass){ | |
1775 | cout<<"AliHFMassFitter::Signal() ERROR -> Mass distr function not found!"<<endl; | |
1776 | return; | |
1777 | } | |
1778 | ||
1779 | if(ftypeOfFit4Sgn == 0) funcbkg=fhistoInvMass->GetFunction(bkgname.Data()); | |
1780 | else funcbkg=fhistoInvMass->GetFunction(bkg1name.Data()); | |
1781 | ||
1782 | if(!funcbkg){ | |
1783 | cout<<"AliHFMassFitter::Signal() ERROR -> Bkg function not found!"<<endl; | |
1784 | return; | |
1785 | } | |
1786 | ||
1787 | Int_t np=fNFinalPars-3; | |
1788 | ||
1789 | Double_t intS,intSerr; | |
1790 | ||
1791 | //relative error evaluation | |
1792 | intS=funcmass->GetParameter(np); | |
1793 | intSerr=funcmass->GetParError(np); | |
1794 | ||
1795 | cout<<"Sgn relative error evaluation from fit: "<<intSerr/intS<<endl; | |
1796 | Double_t background,errbackground; | |
1797 | Background(min,max,background,errbackground); | |
1798 | ||
1799 | //signal +/- error in the range | |
1800 | ||
1801 | Double_t mass=funcmass->Integral(min, max)/fhistoInvMass->GetBinWidth(4); | |
1802 | signal=mass - background; | |
1803 | errsignal=(intSerr/intS)*signal;/*assume relative error is the same as for total integral*/ | |
1804 | ||
1805 | } | |
1806 | ||
1807 | //_________________________________________________________________________ | |
1808 | ||
1809 | void AliHFMassFitter::Background(Double_t nOfSigma,Double_t &background,Double_t &errbackground) const { | |
1810 | // Return background integral in mean+- n sigma | |
1811 | ||
1812 | if(fcounter==0) { | |
1813 | cout<<"Use MassFitter method before Background"<<endl; | |
1814 | return; | |
1815 | } | |
1816 | Double_t min=fMass-nOfSigma*fSigmaSgn; | |
1817 | Double_t max=fMass+nOfSigma*fSigmaSgn; | |
1818 | ||
1819 | Background(min,max,background,errbackground); | |
1820 | ||
1821 | return; | |
1822 | ||
1823 | } | |
1824 | //___________________________________________________________________________ | |
1825 | ||
1826 | void AliHFMassFitter::Background(Double_t min, Double_t max, Double_t &background,Double_t &errbackground) const { | |
1827 | // Return background integral in a range | |
1828 | ||
1829 | if(fcounter==0) { | |
1830 | cout<<"Use MassFitter method before Background"<<endl; | |
1831 | return; | |
1832 | } | |
1833 | ||
1834 | //functions names | |
1835 | TString bkgname="funcbkgRecalc"; | |
1836 | TString bkg1name="funcbkg1Recalc"; | |
1837 | ||
1838 | TF1 *funcbkg=0; | |
1839 | if(ftypeOfFit4Sgn == 0) funcbkg=fhistoInvMass->GetFunction(bkgname.Data()); | |
1840 | else funcbkg=fhistoInvMass->GetFunction(bkg1name.Data()); | |
1841 | if(!funcbkg){ | |
1842 | cout<<"AliHFMassFitter::Background() ERROR -> Bkg function not found!"<<endl; | |
1843 | return; | |
1844 | } | |
1845 | ||
1846 | ||
1847 | Double_t intB,intBerr; | |
1848 | ||
1849 | //relative error evaluation: from final parameters of the fit | |
1850 | if(ftypeOfFit4Bkg==3 && ftypeOfFit4Sgn == 0) cout<<"No background fit: Bkg relative error evaluation put to zero"<<endl; | |
1851 | else{ | |
1852 | intB=funcbkg->GetParameter(0); | |
1853 | intBerr=funcbkg->GetParError(0); | |
1854 | cout<<"Bkg relative error evaluation: from final parameters of the fit: "<<intBerr/intB<<endl; | |
1855 | } | |
1856 | ||
1857 | //relative error evaluation: from histo | |
1858 | ||
1859 | intB=fhistoInvMass->Integral(1,fSideBandl)+fhistoInvMass->Integral(fSideBandr,fNbin); | |
1860 | Double_t sum2=0; | |
1861 | for(Int_t i=1;i<=fSideBandl;i++){ | |
1862 | sum2+=fhistoInvMass->GetBinError(i)*fhistoInvMass->GetBinError(i); | |
1863 | } | |
1864 | for(Int_t i=fSideBandr;i<=fNbin;i++){ | |
1865 | sum2+=fhistoInvMass->GetBinError(i)*fhistoInvMass->GetBinError(i); | |
1866 | } | |
1867 | ||
1868 | intBerr=TMath::Sqrt(sum2); | |
1869 | cout<<"Bkg relative error evaluation: from histo: "<<intBerr/intB<<endl; | |
1870 | ||
1871 | cout<<"Last estimation of bkg error is used"<<endl; | |
1872 | ||
1873 | //backround +/- error in the range | |
1874 | if (ftypeOfFit4Bkg == 3 && ftypeOfFit4Sgn == 0) { | |
1875 | background = 0; | |
1876 | errbackground = 0; | |
1877 | } | |
1878 | else{ | |
1879 | background=funcbkg->Integral(min,max)/(Double_t)fhistoInvMass->GetBinWidth(2); | |
1880 | errbackground=intBerr/intB*background; // assume relative error is the same as for total integral | |
1881 | //cout<<"integral = "<<funcbkg->Integral(min, max)<<"\tbinW = "<<fhistoInvMass->GetBinWidth(2)<<endl; | |
1882 | } | |
1883 | return; | |
1884 | ||
1885 | } | |
1886 | ||
1887 | ||
1888 | //__________________________________________________________________________ | |
1889 | ||
1890 | void AliHFMassFitter::Significance(Double_t nOfSigma,Double_t &significance,Double_t &errsignificance) const { | |
1891 | // Return significance in mean+- n sigma | |
1892 | ||
1893 | Double_t min=fMass-nOfSigma*fSigmaSgn; | |
1894 | Double_t max=fMass+nOfSigma*fSigmaSgn; | |
1895 | Significance(min, max, significance, errsignificance); | |
1896 | ||
1897 | return; | |
1898 | } | |
1899 | ||
1900 | //__________________________________________________________________________ | |
1901 | ||
1902 | void AliHFMassFitter::Significance(Double_t min, Double_t max, Double_t &significance,Double_t &errsignificance) const { | |
1903 | // Return significance integral in a range | |
1904 | ||
1905 | Double_t signal,errsignal,background,errbackground; | |
1906 | Signal(min, max,signal,errsignal); | |
1907 | Background(min, max,background,errbackground); | |
1908 | ||
1909 | if (signal+background <= 0.){ | |
1910 | cout<<"Cannot calculate significance because of div by 0!"<<endl; | |
1911 | significance=-1; | |
1912 | errsignificance=0; | |
1913 | } | |
1914 | ||
1915 | significance = signal/TMath::Sqrt(signal+background); | |
1916 | ||
1917 | errsignificance = TMath::Sqrt(significance*significance/(signal+background)/(signal+background)*(1/4.*errsignal*errsignal+errbackground*errbackground)+significance*significance/signal/signal*errsignal*errsignal); | |
1918 | ||
1919 | return; | |
1920 | } | |
1921 | ||
1922 |