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fabf4d8e | 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 | ||
dc262918 | 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> | |
fabf4d8e | 31 | #include <TCanvas.h> |
a12d80b8 | 32 | #include <TVirtualPad.h> |
ad73ca8f | 33 | #include <TGraph.h> |
34 | #include <TVirtualFitter.h> | |
dc262918 | 35 | #include <TMinuit.h> |
3c0e7d59 | 36 | #include <TStyle.h> |
37 | #include <TPaveText.h> | |
fabf4d8e | 38 | |
39 | #include "AliHFMassFitter.h" | |
40 | ||
41 | ||
dc262918 | 42 | |
fabf4d8e | 43 | ClassImp(AliHFMassFitter) |
44 | ||
56cbeefb | 45 | //************** constructors |
2f328d65 | 46 | AliHFMassFitter::AliHFMassFitter() : |
47 | TNamed(), | |
fabf4d8e | 48 | fhistoInvMass(0), |
49 | fminMass(0), | |
50 | fmaxMass(0), | |
34c79b83 | 51 | fNbin(0), |
2f328d65 | 52 | fParsSize(1), |
d22f0682 | 53 | fNFinalPars(1), |
2f328d65 | 54 | fFitPars(0), |
fabf4d8e | 55 | fWithBkg(0), |
56 | ftypeOfFit4Bkg(0), | |
57 | ftypeOfFit4Sgn(0), | |
58 | ffactor(1), | |
59 | fntuParam(0), | |
60 | fMass(1.85), | |
61 | fSigmaSgn(0.012), | |
56cbeefb | 62 | fSideBands(0), |
3c0e7d59 | 63 | fFixPar(0), |
b7d4bc49 | 64 | fSideBandl(0), |
65 | fSideBandr(0), | |
ad73ca8f | 66 | fcounter(0), |
67 | fContourGraph(0) | |
fabf4d8e | 68 | { |
69 | // default constructor | |
a12d80b8 | 70 | |
71 | cout<<"Default constructor:"<<endl; | |
72 | cout<<"Remember to set the Histo, the Type, the FixPar"<<endl; | |
ad73ca8f | 73 | |
fabf4d8e | 74 | } |
75 | ||
76 | //___________________________________________________________________________ | |
77 | ||
dc262918 | 78 | AliHFMassFitter::AliHFMassFitter (const TH1F *histoToFit, Double_t minvalue, Double_t maxvalue, Int_t rebin,Int_t fittypeb,Int_t fittypes): |
fabf4d8e | 79 | TNamed(), |
80 | fhistoInvMass(0), | |
81 | fminMass(0), | |
82 | fmaxMass(0), | |
34c79b83 | 83 | fNbin(0), |
2f328d65 | 84 | fParsSize(1), |
d22f0682 | 85 | fNFinalPars(1), |
2f328d65 | 86 | fFitPars(0), |
fabf4d8e | 87 | fWithBkg(0), |
88 | ftypeOfFit4Bkg(0), | |
89 | ftypeOfFit4Sgn(0), | |
90 | ffactor(1), | |
91 | fntuParam(0), | |
92 | fMass(1.85), | |
93 | fSigmaSgn(0.012), | |
56cbeefb | 94 | fSideBands(0), |
3c0e7d59 | 95 | fFixPar(0), |
b7d4bc49 | 96 | fSideBandl(0), |
97 | fSideBandr(0), | |
ad73ca8f | 98 | fcounter(0), |
99 | fContourGraph(0) | |
fabf4d8e | 100 | { |
101 | // standard constructor | |
102 | ||
56cbeefb | 103 | fhistoInvMass= (TH1F*)histoToFit->Clone("fhistoInvMass"); |
6321ee46 | 104 | fhistoInvMass->SetDirectory(0); |
fabf4d8e | 105 | fminMass=minvalue; |
106 | fmaxMass=maxvalue; | |
107 | if(rebin!=1) RebinMass(rebin); | |
108 | else fNbin=(Int_t)fhistoInvMass->GetNbinsX(); | |
d22f0682 | 109 | CheckRangeFit(); |
fabf4d8e | 110 | ftypeOfFit4Bkg=fittypeb; |
111 | ftypeOfFit4Sgn=fittypes; | |
112 | if(ftypeOfFit4Bkg!=0 && ftypeOfFit4Bkg!=1 && ftypeOfFit4Bkg!=2) fWithBkg=kFALSE; | |
113 | else fWithBkg=kTRUE; | |
114 | if (!fWithBkg) cout<<"Fit Histogram of Signal only"<<endl; | |
115 | else cout<<"Type of fit For Background = "<<ftypeOfFit4Bkg<<endl; | |
2f328d65 | 116 | |
117 | ComputeParSize(); | |
118 | fFitPars=new Float_t[fParsSize]; | |
a12d80b8 | 119 | |
4d7b8e51 | 120 | SetDefaultFixParam(); |
a12d80b8 | 121 | |
ad73ca8f | 122 | fContourGraph=new TList(); |
123 | fContourGraph->SetOwner(); | |
124 | ||
fabf4d8e | 125 | } |
126 | ||
74179930 | 127 | |
128 | AliHFMassFitter::AliHFMassFitter(const AliHFMassFitter &mfit): | |
129 | TNamed(), | |
130 | fhistoInvMass(mfit.fhistoInvMass), | |
131 | fminMass(mfit.fminMass), | |
132 | fmaxMass(mfit.fmaxMass), | |
133 | fNbin(mfit.fNbin), | |
2f328d65 | 134 | fParsSize(mfit.fParsSize), |
d22f0682 | 135 | fNFinalPars(mfit.fNFinalPars), |
2f328d65 | 136 | fFitPars(0), |
74179930 | 137 | fWithBkg(mfit.fWithBkg), |
138 | ftypeOfFit4Bkg(mfit.ftypeOfFit4Bkg), | |
139 | ftypeOfFit4Sgn(mfit.ftypeOfFit4Sgn), | |
140 | ffactor(mfit.ffactor), | |
141 | fntuParam(mfit.fntuParam), | |
142 | fMass(mfit.fMass), | |
143 | fSigmaSgn(mfit.fSigmaSgn), | |
56cbeefb | 144 | fSideBands(mfit.fSideBands), |
3c0e7d59 | 145 | fFixPar(0), |
b7d4bc49 | 146 | fSideBandl(mfit.fSideBandl), |
147 | fSideBandr(mfit.fSideBandr), | |
ad73ca8f | 148 | fcounter(mfit.fcounter), |
149 | fContourGraph(mfit.fContourGraph) | |
74179930 | 150 | { |
151 | //copy constructor | |
2f328d65 | 152 | |
153 | if(mfit.fParsSize > 0){ | |
154 | fFitPars=new Float_t[fParsSize]; | |
4d7b8e51 | 155 | fFixPar=new Bool_t[fNFinalPars]; |
2f328d65 | 156 | memcpy(fFitPars,mfit.fFitPars,mfit.fParsSize*sizeof(Float_t)); |
4d7b8e51 | 157 | memcpy(fFixPar,mfit.fFixPar,mfit.fNFinalPars*sizeof(Bool_t)); |
2f328d65 | 158 | } |
159 | //for(Int_t i=0;i<fParsSize;i++) fFitPars[i]=mfit.fFitPars[i]; | |
160 | } | |
161 | ||
162 | //_________________________________________________________________________ | |
163 | ||
164 | AliHFMassFitter::~AliHFMassFitter() { | |
dc262918 | 165 | |
166 | //destructor | |
167 | ||
56cbeefb | 168 | cout<<"AliHFMassFitter destructor called"<<endl; |
a60f573d | 169 | if(fhistoInvMass) { |
170 | cout<<"deleting histogram..."<<endl; | |
171 | delete fhistoInvMass; | |
172 | fhistoInvMass=NULL; | |
173 | } | |
174 | if(fntuParam){ | |
175 | cout<<"deleting ntuple..."<<endl; | |
176 | delete fntuParam; | |
177 | ||
178 | fntuParam=NULL; | |
179 | } | |
180 | ||
181 | if(fFitPars) { | |
182 | delete[] fFitPars; | |
183 | cout<<"deleting parameter array..."<<endl; | |
184 | fFitPars=NULL; | |
185 | } | |
186 | ||
3c0e7d59 | 187 | if(fFixPar) { |
188 | delete[] fFixPar; | |
189 | cout<<"deleting bool array..."<<endl; | |
190 | fFixPar=NULL; | |
191 | } | |
192 | ||
56cbeefb | 193 | fcounter = 0; |
74179930 | 194 | } |
195 | ||
196 | //_________________________________________________________________________ | |
197 | ||
198 | AliHFMassFitter& AliHFMassFitter::operator=(const AliHFMassFitter &mfit){ | |
199 | ||
200 | //assignment operator | |
201 | ||
202 | if(&mfit == this) return *this; | |
203 | fhistoInvMass= mfit.fhistoInvMass; | |
204 | fminMass= mfit.fminMass; | |
205 | fmaxMass= mfit.fmaxMass; | |
206 | fNbin= mfit.fNbin; | |
2f328d65 | 207 | fParsSize= mfit.fParsSize; |
74179930 | 208 | fWithBkg= mfit.fWithBkg; |
209 | ftypeOfFit4Bkg= mfit.ftypeOfFit4Bkg; | |
210 | ftypeOfFit4Sgn= mfit.ftypeOfFit4Sgn; | |
211 | ffactor= mfit.ffactor; | |
212 | fntuParam= mfit.fntuParam; | |
213 | fMass= mfit.fMass; | |
214 | fSigmaSgn= mfit.fSigmaSgn; | |
215 | fSideBands= mfit.fSideBands; | |
b7d4bc49 | 216 | fSideBandl= mfit.fSideBandl; |
217 | fSideBandr= mfit.fSideBandr; | |
56cbeefb | 218 | fcounter= mfit.fcounter; |
ad73ca8f | 219 | fContourGraph= mfit.fContourGraph; |
220 | ||
2f328d65 | 221 | if(mfit.fParsSize > 0){ |
a60f573d | 222 | if(fFitPars) { |
223 | delete[] fFitPars; | |
224 | fFitPars=NULL; | |
225 | } | |
2f328d65 | 226 | fFitPars=new Float_t[fParsSize]; |
227 | memcpy(fFitPars,mfit.fFitPars,mfit.fParsSize*sizeof(Float_t)); | |
3c0e7d59 | 228 | |
229 | if(fFixPar) { | |
230 | delete[] fFixPar; | |
231 | fFixPar=NULL; | |
232 | } | |
d22f0682 | 233 | fFixPar=new Bool_t[fNFinalPars]; |
234 | memcpy(fFixPar,mfit.fFixPar,mfit.fNFinalPars*sizeof(Float_t)); | |
2f328d65 | 235 | } |
236 | // fFitPars=new Float_t[fParsSize]; | |
237 | // for(Int_t i=0;i<fParsSize;i++) fFitPars[i]=mfit.fFitPars[i]; | |
74179930 | 238 | |
239 | return *this; | |
240 | } | |
56cbeefb | 241 | |
242 | //************ tools & settings | |
243 | ||
2f328d65 | 244 | //__________________________________________________________________________ |
245 | ||
d22f0682 | 246 | void AliHFMassFitter::ComputeNFinalPars() { |
4d7b8e51 | 247 | |
248 | //compute the number of parameters of the total (signal+bgk) function | |
249 | cout<<"Info:ComputeNFinalPars... "; | |
d22f0682 | 250 | switch (ftypeOfFit4Bkg) {//npar background func |
251 | case 0: | |
252 | fNFinalPars=2; | |
253 | break; | |
254 | case 1: | |
255 | fNFinalPars=2; | |
256 | break; | |
257 | case 2: | |
258 | fNFinalPars=3; | |
259 | break; | |
260 | case 3: | |
261 | fNFinalPars=1; | |
262 | break; | |
263 | default: | |
264 | cout<<"Error in computing fNFinalPars: check ftypeOfFit4Bkg"<<endl; | |
265 | break; | |
266 | } | |
267 | ||
268 | fNFinalPars+=3; //gaussian signal | |
4d7b8e51 | 269 | cout<<": "<<fNFinalPars<<endl; |
d22f0682 | 270 | } |
271 | //__________________________________________________________________________ | |
272 | ||
2f328d65 | 273 | void AliHFMassFitter::ComputeParSize() { |
dc262918 | 274 | |
275 | //compute the size of the parameter array and set the data member | |
276 | ||
d22f0682 | 277 | switch (ftypeOfFit4Bkg) {//npar background func |
2f328d65 | 278 | case 0: |
279 | fParsSize = 2*3; | |
280 | break; | |
281 | case 1: | |
282 | fParsSize = 2*3; | |
283 | break; | |
284 | case 2: | |
285 | fParsSize = 3*3; | |
286 | break; | |
287 | case 3: | |
56cbeefb | 288 | fParsSize = 1*3; |
2f328d65 | 289 | break; |
290 | default: | |
56cbeefb | 291 | cout<<"Error in computing fParsSize: check ftypeOfFit4Bkg"<<endl; |
2f328d65 | 292 | break; |
293 | } | |
294 | ||
56cbeefb | 295 | fParsSize += 3; // npar refl |
296 | fParsSize += 3; // npar signal gaus | |
2f328d65 | 297 | |
56cbeefb | 298 | fParsSize*=2; // add errors |
2f328d65 | 299 | cout<<"Parameters array size "<<fParsSize<<endl; |
300 | } | |
301 | ||
4d7b8e51 | 302 | //___________________________________________________________________________ |
303 | void AliHFMassFitter::SetDefaultFixParam(){ | |
304 | ||
305 | //Set default values for fFixPar (only total integral fixed) | |
306 | ||
307 | ComputeNFinalPars(); | |
308 | fFixPar=new Bool_t[fNFinalPars]; | |
309 | ||
310 | fFixPar[0]=kTRUE; //default: IntTot fixed | |
311 | cout<<"Parameter 0 is fixed"<<endl; | |
312 | for(Int_t i=1;i<fNFinalPars;i++){ | |
313 | fFixPar[i]=kFALSE; | |
314 | } | |
315 | ||
316 | } | |
317 | ||
3c0e7d59 | 318 | //___________________________________________________________________________ |
319 | Bool_t AliHFMassFitter::SetFixThisParam(Int_t thispar,Bool_t fixpar){ | |
320 | ||
321 | //set the value (kFALSE or kTRUE) of one element of fFixPar | |
322 | //return kFALSE if something wrong | |
323 | ||
d22f0682 | 324 | if(thispar>=fNFinalPars) { |
325 | cout<<"Error! Parameter out of bounds! Max is "<<fNFinalPars-1<<endl; | |
3c0e7d59 | 326 | return kFALSE; |
327 | } | |
d22f0682 | 328 | if(!fFixPar){ |
329 | cout<<"Initializing fFixPar..."; | |
4d7b8e51 | 330 | SetDefaultFixParam(); |
d22f0682 | 331 | cout<<" done."<<endl; |
332 | } | |
333 | ||
3c0e7d59 | 334 | fFixPar[thispar]=fixpar; |
5a8a84f8 | 335 | if(fixpar)cout<<"Parameter "<<thispar<<" is now fixed"<<endl; |
336 | else cout<<"Parameter "<<thispar<<" is now free"<<endl; | |
3c0e7d59 | 337 | return kTRUE; |
338 | } | |
339 | ||
340 | //___________________________________________________________________________ | |
341 | Bool_t AliHFMassFitter::GetFixThisParam(Int_t thispar)const{ | |
342 | //return the value of fFixPar[thispar] | |
d22f0682 | 343 | if(thispar>=fNFinalPars) { |
344 | cout<<"Error! Parameter out of bounds! Max is "<<fNFinalPars-1<<endl; | |
3c0e7d59 | 345 | return kFALSE; |
346 | } | |
4d7b8e51 | 347 | if(!fFixPar) { |
348 | cout<<"Error! Parameters to be fixed still not set"<<endl; | |
349 | return kFALSE; | |
350 | ||
351 | } | |
3c0e7d59 | 352 | return fFixPar[thispar]; |
353 | ||
354 | } | |
355 | ||
56cbeefb | 356 | //___________________________________________________________________________ |
dc262918 | 357 | void AliHFMassFitter::SetHisto(const TH1F *histoToFit){ |
a60f573d | 358 | //fhistoInvMass = (TH1F*)histoToFit->Clone(); |
359 | fhistoInvMass = new TH1F(*histoToFit); | |
6321ee46 | 360 | fhistoInvMass->SetDirectory(0); |
a60f573d | 361 | cout<<"SetHisto pointer "<<fhistoInvMass<<endl; |
56cbeefb | 362 | } |
363 | ||
2f328d65 | 364 | //___________________________________________________________________________ |
365 | ||
366 | void AliHFMassFitter::SetType(Int_t fittypeb, Int_t fittypes) { | |
dc262918 | 367 | |
368 | //set the type of fit to perform for signal and background | |
369 | ||
2f328d65 | 370 | ftypeOfFit4Bkg = fittypeb; |
371 | ftypeOfFit4Sgn = fittypes; | |
4d7b8e51 | 372 | |
373 | /* | |
374 | if(fFitPars) { | |
375 | delete[] fFitPars; | |
376 | fFitPars=NULL; | |
377 | } | |
378 | */ | |
2f328d65 | 379 | ComputeParSize(); |
380 | fFitPars = new Float_t[fParsSize]; | |
4d7b8e51 | 381 | /* |
382 | if(fFixPar){ | |
383 | delete[] fFixPar; | |
384 | fFixPar=NULL; | |
385 | } | |
386 | */ | |
387 | SetDefaultFixParam(); | |
388 | ||
389 | ||
2f328d65 | 390 | } |
74179930 | 391 | |
fabf4d8e | 392 | //___________________________________________________________________________ |
393 | ||
56cbeefb | 394 | void AliHFMassFitter::Reset() { |
dc262918 | 395 | |
396 | //delete the histogram and reset the mean and sigma to default | |
397 | ||
a60f573d | 398 | cout<<"Reset called: delete histogram, set mean value to 1.85 and sigma to 0.012"<<endl; |
0566386c | 399 | fMass=1.85; |
400 | fSigmaSgn=0.012; | |
a60f573d | 401 | cout<<"Reset "<<fhistoInvMass<<endl; |
402 | if(fhistoInvMass) { | |
ad73ca8f | 403 | //cout<<"esiste"<<endl; |
6321ee46 | 404 | delete fhistoInvMass; |
a60f573d | 405 | fhistoInvMass=NULL; |
406 | cout<<fhistoInvMass<<endl; | |
407 | } | |
408 | else cout<<"histogram doesn't exist, do not delete"<<endl; | |
409 | ||
4d7b8e51 | 410 | |
56cbeefb | 411 | } |
412 | ||
413 | //_________________________________________________________________________ | |
414 | ||
415 | void AliHFMassFitter::InitNtuParam(char *ntuname) { | |
dc262918 | 416 | |
56cbeefb | 417 | // Create ntuple to keep fit parameters |
dc262918 | 418 | |
56cbeefb | 419 | fntuParam=0; |
420 | 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"); | |
421 | ||
422 | } | |
423 | ||
424 | //_________________________________________________________________________ | |
425 | ||
426 | void AliHFMassFitter::FillNtuParam() { | |
427 | // Fill ntuple with fit parameters | |
428 | ||
429 | Float_t nothing=0.; | |
430 | ||
431 | if (ftypeOfFit4Bkg==2) { | |
432 | fntuParam->SetBranchAddress("intbkg1",&fFitPars[0]); | |
433 | fntuParam->SetBranchAddress("slope1",&fFitPars[1]); | |
434 | fntuParam->SetBranchAddress("conc1",&fFitPars[2]); | |
435 | fntuParam->SetBranchAddress("intGB",&fFitPars[3]); | |
436 | fntuParam->SetBranchAddress("meanGB",&fFitPars[4]); | |
437 | fntuParam->SetBranchAddress("sigmaGB",&fFitPars[5]); | |
438 | fntuParam->SetBranchAddress("intbkg2",&fFitPars[6]); | |
439 | fntuParam->SetBranchAddress("slope2",&fFitPars[7]); | |
440 | fntuParam->SetBranchAddress("conc2",&fFitPars[8]); | |
441 | fntuParam->SetBranchAddress("inttot",&fFitPars[9]); | |
442 | fntuParam->SetBranchAddress("slope3",&fFitPars[10]); | |
443 | fntuParam->SetBranchAddress("conc3",&fFitPars[11]); | |
444 | fntuParam->SetBranchAddress("intsgn",&fFitPars[12]); | |
445 | fntuParam->SetBranchAddress("meansgn",&fFitPars[13]); | |
446 | fntuParam->SetBranchAddress("sigmasgn",&fFitPars[14]); | |
447 | ||
448 | fntuParam->SetBranchAddress("intbkg1Err",&fFitPars[15]); | |
449 | fntuParam->SetBranchAddress("slope1Err",&fFitPars[16]); | |
450 | fntuParam->SetBranchAddress("conc1Err",&fFitPars[17]); | |
451 | fntuParam->SetBranchAddress("intGBErr",&fFitPars[18]); | |
452 | fntuParam->SetBranchAddress("meanGBErr",&fFitPars[19]); | |
453 | fntuParam->SetBranchAddress("sigmaGBErr",&fFitPars[20]); | |
454 | fntuParam->SetBranchAddress("intbkg2Err",&fFitPars[21]); | |
455 | fntuParam->SetBranchAddress("slope2Err",&fFitPars[22]); | |
456 | fntuParam->SetBranchAddress("conc2Err",&fFitPars[23]); | |
457 | fntuParam->SetBranchAddress("inttotErr",&fFitPars[24]); | |
458 | fntuParam->SetBranchAddress("slope3Err",&fFitPars[25]); | |
459 | fntuParam->SetBranchAddress("conc3Err",&fFitPars[26]); | |
460 | fntuParam->SetBranchAddress("intsgnErr",&fFitPars[27]); | |
461 | fntuParam->SetBranchAddress("meansgnErr",&fFitPars[28]); | |
462 | fntuParam->SetBranchAddress("sigmasgnErr",&fFitPars[29]); | |
463 | ||
464 | } else { | |
465 | ||
466 | if(ftypeOfFit4Bkg==3){ | |
467 | fntuParam->SetBranchAddress("intbkg1",&fFitPars[0]); | |
468 | fntuParam->SetBranchAddress("slope1",¬hing); | |
469 | fntuParam->SetBranchAddress("conc1",¬hing); | |
470 | fntuParam->SetBranchAddress("intGB",&fFitPars[1]); | |
471 | fntuParam->SetBranchAddress("meanGB",&fFitPars[2]); | |
472 | fntuParam->SetBranchAddress("sigmaGB",&fFitPars[3]); | |
473 | fntuParam->SetBranchAddress("intbkg2",&fFitPars[4]); | |
474 | fntuParam->SetBranchAddress("slope2",¬hing); | |
475 | fntuParam->SetBranchAddress("conc2",¬hing); | |
476 | fntuParam->SetBranchAddress("inttot",&fFitPars[6]); | |
477 | fntuParam->SetBranchAddress("slope3",¬hing); | |
478 | fntuParam->SetBranchAddress("conc3",¬hing); | |
479 | fntuParam->SetBranchAddress("intsgn",&fFitPars[6]); | |
480 | fntuParam->SetBranchAddress("meansgn",&fFitPars[7]); | |
481 | fntuParam->SetBranchAddress("sigmasgn",&fFitPars[8]); | |
482 | ||
483 | fntuParam->SetBranchAddress("intbkg1Err",&fFitPars[9]); | |
484 | fntuParam->SetBranchAddress("slope1Err",¬hing); | |
485 | fntuParam->SetBranchAddress("conc1Err",¬hing); | |
486 | fntuParam->SetBranchAddress("intGBErr",&fFitPars[10]); | |
487 | fntuParam->SetBranchAddress("meanGBErr",&fFitPars[11]); | |
488 | fntuParam->SetBranchAddress("sigmaGBErr",&fFitPars[12]); | |
489 | fntuParam->SetBranchAddress("intbkg2Err",&fFitPars[13]); | |
490 | fntuParam->SetBranchAddress("slope2Err",¬hing); | |
491 | fntuParam->SetBranchAddress("conc2Err",¬hing); | |
492 | fntuParam->SetBranchAddress("inttotErr",&fFitPars[15]); | |
493 | fntuParam->SetBranchAddress("slope3Err",¬hing); | |
494 | fntuParam->SetBranchAddress("conc3Err",¬hing); | |
495 | fntuParam->SetBranchAddress("intsgnErr",&fFitPars[15]); | |
496 | fntuParam->SetBranchAddress("meansgnErr",&fFitPars[16]); | |
497 | fntuParam->SetBranchAddress("sigmasgnErr",&fFitPars[17]); | |
498 | ||
499 | } | |
500 | else{ | |
501 | fntuParam->SetBranchAddress("intbkg1",&fFitPars[0]); | |
502 | fntuParam->SetBranchAddress("slope1",&fFitPars[1]); | |
503 | fntuParam->SetBranchAddress("conc1",¬hing); | |
504 | fntuParam->SetBranchAddress("intGB",&fFitPars[2]); | |
505 | fntuParam->SetBranchAddress("meanGB",&fFitPars[3]); | |
506 | fntuParam->SetBranchAddress("sigmaGB",&fFitPars[4]); | |
507 | fntuParam->SetBranchAddress("intbkg2",&fFitPars[5]); | |
508 | fntuParam->SetBranchAddress("slope2",&fFitPars[6]); | |
509 | fntuParam->SetBranchAddress("conc2",¬hing); | |
510 | fntuParam->SetBranchAddress("inttot",&fFitPars[7]); | |
511 | fntuParam->SetBranchAddress("slope3",&fFitPars[8]); | |
512 | fntuParam->SetBranchAddress("conc3",¬hing); | |
513 | fntuParam->SetBranchAddress("intsgn",&fFitPars[9]); | |
514 | fntuParam->SetBranchAddress("meansgn",&fFitPars[10]); | |
515 | fntuParam->SetBranchAddress("sigmasgn",&fFitPars[11]); | |
516 | ||
517 | fntuParam->SetBranchAddress("intbkg1Err",&fFitPars[12]); | |
518 | fntuParam->SetBranchAddress("slope1Err",&fFitPars[13]); | |
519 | fntuParam->SetBranchAddress("conc1Err",¬hing); | |
520 | fntuParam->SetBranchAddress("intGBErr",&fFitPars[14]); | |
521 | fntuParam->SetBranchAddress("meanGBErr",&fFitPars[15]); | |
522 | fntuParam->SetBranchAddress("sigmaGBErr",&fFitPars[16]); | |
523 | fntuParam->SetBranchAddress("intbkg2Err",&fFitPars[17]); | |
524 | fntuParam->SetBranchAddress("slope2Err",&fFitPars[18]); | |
525 | fntuParam->SetBranchAddress("conc2Err",¬hing); | |
526 | fntuParam->SetBranchAddress("inttotErr",&fFitPars[19]); | |
527 | fntuParam->SetBranchAddress("slope3Err",&fFitPars[20]); | |
528 | fntuParam->SetBranchAddress("conc3Err",¬hing); | |
529 | fntuParam->SetBranchAddress("intsgnErr",&fFitPars[21]); | |
530 | fntuParam->SetBranchAddress("meansgnErr",&fFitPars[22]); | |
531 | fntuParam->SetBranchAddress("sigmasgnErr",&fFitPars[23]); | |
532 | } | |
533 | ||
534 | } | |
535 | fntuParam->TTree::Fill(); | |
536 | } | |
537 | ||
538 | //_________________________________________________________________________ | |
539 | ||
540 | TNtuple* AliHFMassFitter::NtuParamOneShot(char *ntuname){ | |
541 | // Create, fill and return ntuple with fit parameters | |
542 | ||
543 | InitNtuParam(ntuname); | |
544 | FillNtuParam(); | |
545 | return fntuParam; | |
546 | } | |
547 | //_________________________________________________________________________ | |
548 | ||
549 | void AliHFMassFitter::RebinMass(Int_t bingroup){ | |
550 | // Rebin invariant mass histogram | |
551 | ||
3c0e7d59 | 552 | if(!fhistoInvMass){ |
553 | cout<<"Histogram not set"<<endl; | |
554 | return; | |
555 | } | |
d22f0682 | 556 | Int_t nbinshisto=fhistoInvMass->GetNbinsX(); |
56cbeefb | 557 | if(bingroup<1){ |
558 | cout<<"Error! Cannot group "<<bingroup<<" bins\n"; | |
d22f0682 | 559 | fNbin=nbinshisto; |
56cbeefb | 560 | cout<<"Kept original number of bins: "<<fNbin<<endl; |
561 | } else{ | |
5a8a84f8 | 562 | |
563 | while(nbinshisto%bingroup != 0) { | |
564 | bingroup--; | |
565 | } | |
566 | cout<<"Group "<<bingroup<<" bins"<<endl; | |
56cbeefb | 567 | fhistoInvMass->Rebin(bingroup); |
568 | fNbin = fhistoInvMass->GetNbinsX(); | |
569 | cout<<"New number of bins: "<<fNbin<<endl; | |
570 | } | |
56cbeefb | 571 | |
572 | } | |
573 | ||
574 | //************* fit | |
575 | ||
576 | //___________________________________________________________________________ | |
577 | ||
fabf4d8e | 578 | Double_t AliHFMassFitter::FitFunction4MassDistr (Double_t *x, Double_t *par){ |
579 | // Fit function for signal+background | |
580 | ||
581 | ||
582 | //exponential or linear fit | |
583 | // | |
584 | // par[0] = tot integral | |
585 | // par[1] = slope | |
586 | // par[2] = gaussian integral | |
587 | // par[3] = gaussian mean | |
588 | // par[4] = gaussian sigma | |
589 | ||
590 | Double_t total,bkg=0,sgn=0; | |
591 | ||
592 | if (ftypeOfFit4Bkg==0 || ftypeOfFit4Bkg==1) { | |
593 | if(ftypeOfFit4Sgn == 0) { | |
594 | ||
595 | Double_t parbkg[2] = {par[0]-par[2], par[1]}; | |
596 | bkg = FitFunction4Bkg(x,parbkg); | |
597 | } | |
598 | if(ftypeOfFit4Sgn == 1) { | |
599 | Double_t parbkg[5] = {par[2],par[3],ffactor*par[4],par[0]-2*par[2], par[1]}; | |
600 | bkg = FitFunction4Bkg(x,parbkg); | |
601 | } | |
602 | ||
603 | sgn = FitFunction4Sgn(x,&par[2]); | |
604 | ||
605 | } | |
606 | ||
607 | //polynomial fit | |
608 | ||
609 | // par[0] = tot integral | |
610 | // par[1] = coef1 | |
611 | // par[2] = coef2 | |
612 | // par[3] = gaussian integral | |
613 | // par[4] = gaussian mean | |
614 | // par[5] = gaussian sigma | |
615 | ||
616 | if (ftypeOfFit4Bkg==2) { | |
617 | ||
618 | if(ftypeOfFit4Sgn == 0) { | |
56cbeefb | 619 | |
fabf4d8e | 620 | Double_t parbkg[3] = {par[0]-par[3], par[1], par[2]}; |
621 | bkg = FitFunction4Bkg(x,parbkg); | |
622 | } | |
623 | if(ftypeOfFit4Sgn == 1) { | |
56cbeefb | 624 | |
fabf4d8e | 625 | Double_t parbkg[6] = {par[3],par[4],ffactor*par[5],par[0]-2*par[3], par[1], par[2]}; |
16856d6e | 626 | bkg = FitFunction4Bkg(x,parbkg); |
fabf4d8e | 627 | } |
628 | ||
629 | sgn = FitFunction4Sgn(x,&par[3]); | |
630 | } | |
631 | ||
632 | if (ftypeOfFit4Bkg==3) { | |
633 | ||
634 | if(ftypeOfFit4Sgn == 0) { | |
635 | bkg=FitFunction4Bkg(x,par); | |
636 | sgn=FitFunction4Sgn(x,&par[1]); | |
637 | } | |
638 | if(ftypeOfFit4Sgn == 1) { | |
639 | Double_t parbkg[4]={par[1],par[2],ffactor*par[3],par[0]}; | |
640 | bkg=FitFunction4Bkg(x,parbkg); | |
641 | sgn=FitFunction4Sgn(x,&par[1]); | |
642 | } | |
643 | } | |
644 | ||
645 | total = bkg + sgn; | |
646 | ||
647 | return total; | |
648 | } | |
649 | ||
650 | //_________________________________________________________________________ | |
651 | Double_t AliHFMassFitter::FitFunction4Sgn (Double_t *x, Double_t *par){ | |
652 | // Fit function for the signal | |
653 | ||
654 | //gaussian = A/(sigma*sqrt(2*pi))*exp(-(x-mean)^2/2/sigma^2) | |
655 | //Par: | |
656 | // * [0] = integralSgn | |
657 | // * [1] = mean | |
658 | // * [2] = sigma | |
659 | //gaussian = [0]/TMath::Sqrt(2.*TMath::Pi())/[2]*exp[-(x-[1])*(x-[1])/(2*[2]*[2])] | |
660 | ||
661 | 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]); | |
662 | ||
663 | } | |
664 | ||
665 | //__________________________________________________________________________ | |
666 | ||
667 | Double_t AliHFMassFitter::FitFunction4Bkg (Double_t *x, Double_t *par){ | |
668 | // Fit function for the background | |
669 | ||
670 | Double_t maxDeltaM = 4.*fSigmaSgn; | |
671 | if(fSideBands && TMath::Abs(x[0]-fMass) < maxDeltaM) { | |
672 | TF1::RejectPoint(); | |
673 | return 0; | |
674 | } | |
675 | Int_t firstPar=0; | |
676 | Double_t gaus2=0,total=-1; | |
677 | if(ftypeOfFit4Sgn == 1){ | |
678 | firstPar=3; | |
679 | //gaussian = A/(sigma*sqrt(2*pi))*exp(-(x-mean)^2/2/sigma^2) | |
680 | //Par: | |
681 | // * [0] = integralSgn | |
682 | // * [1] = mean | |
683 | // * [2] = sigma | |
684 | //gaussian = [0]/TMath::Sqrt(2.*TMath::Pi())/[2]*exp[-(x-[1])*(x-[1])/(2*[2]*[2])] | |
685 | gaus2 = FitFunction4Sgn(x,par); | |
686 | } | |
687 | ||
688 | switch (ftypeOfFit4Bkg){ | |
689 | case 0: | |
690 | //exponential | |
691 | //exponential = A*exp(B*x) -> integral(exponential)=A/B*exp(B*x)](min,max) | |
692 | //-> A = B*integral/(exp(B*max)-exp(B*min)) where integral can be written | |
693 | //as integralTot- integralGaus (=par [2]) | |
694 | //Par: | |
695 | // * [0] = integralBkg; | |
696 | // * [1] = B; | |
697 | //exponential = [1]*[0]/(exp([1]*max)-exp([1]*min))*exp([1]*x) | |
698 | 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]); | |
699 | break; | |
700 | case 1: | |
701 | //linear | |
702 | //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) | |
703 | // * [0] = integralBkg; | |
704 | // * [1] = b; | |
705 | total= par[0+firstPar]/(fmaxMass-fminMass)+par[1+firstPar]*(x[0]-0.5*(fmaxMass+fminMass)); | |
706 | break; | |
707 | case 2: | |
708 | //polynomial | |
709 | //y=a+b*x+c*x**2 -> integral = a(max-min) + 1/2*b*(max^2-min^2) + | |
710 | //+ 1/3*c*(max^3-min^3) -> | |
711 | //a = (integral-1/2*b*(max^2-min^2)-1/3*c*(max^3-min^3))/(max-min) | |
712 | // * [0] = integralBkg; | |
713 | // * [1] = b; | |
714 | // * [2] = c; | |
715 | 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)); | |
716 | break; | |
717 | case 3: | |
718 | total=par[0+firstPar]; | |
719 | break; | |
720 | // default: | |
721 | // Types of Fit Functions for Background: | |
722 | // * 0 = exponential; | |
723 | // * 1 = linear; | |
724 | // * 2 = polynomial 2nd order | |
725 | // * 3 = no background"<<endl; | |
726 | ||
727 | } | |
728 | return total+gaus2; | |
729 | } | |
730 | ||
b7d4bc49 | 731 | //__________________________________________________________________________ |
732 | Bool_t AliHFMassFitter::SideBandsBounds(){ | |
733 | ||
dc262918 | 734 | //determines the ranges of the side bands |
735 | ||
b7d4bc49 | 736 | Double_t width=fhistoInvMass->GetBinWidth(8); |
737 | if (fNbin==0) fNbin=fhistoInvMass->GetNbinsX(); | |
738 | Double_t minHisto=fhistoInvMass->GetBinLowEdge(1); | |
739 | Double_t maxHisto=fhistoInvMass->GetBinLowEdge(fNbin)+width; | |
740 | ||
741 | if(fMass-fminMass < 0 || fmaxMass-fMass <0) { | |
742 | cout<<"Left limit of range > mean or right limit of range < mean: change left/right limit or initial mean value"<<endl; | |
743 | return kFALSE; | |
744 | } | |
745 | ||
dc262918 | 746 | if((TMath::Abs(fminMass-minHisto) < 10e6 || TMath::Abs(fmaxMass - maxHisto) < 10e6) && (fMass-4.*fSigmaSgn-fminMass) < 10e6){ |
b7d4bc49 | 747 | Double_t coeff = (fMass-fminMass)/fSigmaSgn; |
748 | ||
749 | fSideBandl=(Int_t)((fMass-0.5*coeff*fSigmaSgn-fminMass)/width); | |
750 | fSideBandr=(Int_t)((fMass+0.5*coeff*fSigmaSgn-fminMass)/width); | |
751 | cout<<"Changed number of sigma from 4 to "<<0.5*coeff<<" for the estimation of the side bands"<<endl; | |
752 | if (coeff<3) cout<<"Side bands inside 3 sigma, may be better use ftypeOfFit4Bkg = 3 (only signal)"<<endl; | |
b7d4bc49 | 753 | if (coeff<2) { |
754 | cout<<"Side bands inside 2 sigma. Change mode: ftypeOfFit4Bkg = 3"<<endl; | |
755 | ftypeOfFit4Bkg=3; | |
756 | //set binleft and right without considering SetRangeFit- anyway no bkg! | |
757 | fSideBandl=(Int_t)((fMass-4.*fSigmaSgn-minHisto)/width); | |
758 | fSideBandr=(Int_t)((fMass+4.*fSigmaSgn-minHisto)/width); | |
759 | } | |
760 | } | |
761 | else { | |
762 | fSideBandl=(Int_t)((fMass-4.*fSigmaSgn-minHisto)/width); | |
763 | fSideBandr=(Int_t)((fMass+4.*fSigmaSgn-minHisto)/width); | |
a60f573d | 764 | // cout<<"\tfMass = "<<fMass<<"\tfSigmaSgn = "<<fSigmaSgn<<"\tminHisto = "<<minHisto<<endl; |
765 | // cout<<"\tbinleft = "<<fSideBandl<<"\tbinright = "<<fSideBandr<<endl; | |
b7d4bc49 | 766 | } |
767 | ||
768 | if (fSideBandl==0) { | |
769 | cout<<"Error! Range too little"; | |
770 | return kFALSE; | |
771 | } | |
b7d4bc49 | 772 | return kTRUE; |
773 | } | |
774 | ||
16856d6e | 775 | //__________________________________________________________________________ |
776 | ||
b7d4bc49 | 777 | void AliHFMassFitter::GetSideBandsBounds(Int_t &left, Int_t &right) const{ |
dc262918 | 778 | |
779 | // get the range of the side bands | |
780 | ||
b7d4bc49 | 781 | if (fSideBandl==0 && fSideBandr==0){ |
782 | cout<<"Use MassFitter method first"<<endl; | |
783 | return; | |
784 | } | |
785 | left=fSideBandl; | |
786 | right=fSideBandr; | |
787 | } | |
788 | ||
d22f0682 | 789 | //__________________________________________________________________________ |
790 | Bool_t AliHFMassFitter::CheckRangeFit(){ | |
791 | //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 | |
792 | ||
793 | if (!fhistoInvMass) { | |
794 | cout<<"No histogram to fit! SetHisto(TH1F* h) before! "<<endl; | |
795 | return kFALSE; | |
796 | } | |
797 | Bool_t leftok=kFALSE, rightok=kFALSE; | |
798 | Int_t nbins=fhistoInvMass->GetNbinsX(); | |
799 | Double_t width=fhistoInvMass->GetBinWidth(1); | |
800 | Double_t minhisto=fhistoInvMass->GetBinLowEdge(1), maxhisto=fhistoInvMass->GetBinLowEdge(nbins)+width; | |
801 | ||
802 | //check if limits are inside histogram range | |
5a8a84f8 | 803 | |
d22f0682 | 804 | if( fminMass-minhisto < 0. ) { |
5a8a84f8 | 805 | cout<<"Out of histogram left bound! Setting to "<<minhisto<<endl; |
d22f0682 | 806 | fminMass=minhisto; |
807 | } | |
808 | if( fmaxMass-maxhisto > 0. ) { | |
5a8a84f8 | 809 | cout<<"Out of histogram right bound! Setting to"<<maxhisto<<endl; |
d22f0682 | 810 | fmaxMass=maxhisto; |
811 | } | |
812 | ||
813 | Int_t binl,binr; | |
814 | Double_t tmp=0.; | |
815 | tmp=fminMass; | |
816 | //calculate bin corresponding to fminMass | |
817 | binl=fhistoInvMass->FindBin(fminMass); | |
818 | if (fminMass > fhistoInvMass->GetBinCenter(binl)) binl++; | |
819 | fminMass=fhistoInvMass->GetBinLowEdge(binl); | |
820 | if(TMath::Abs(tmp-fminMass) > 1e-6){ | |
821 | cout<<"Left bound "<<tmp<<" is not allowed, changing it to the nearest value allowed: "<<fminMass<<endl; | |
822 | leftok=kTRUE; | |
823 | } | |
824 | ||
825 | tmp=fmaxMass; | |
826 | //calculate bin corresponding to fmaxMass | |
827 | binr=fhistoInvMass->FindBin(fmaxMass); | |
828 | if (fmaxMass < fhistoInvMass->GetBinCenter(binr)) binr--; | |
829 | fmaxMass=fhistoInvMass->GetBinLowEdge(binr)+width; | |
830 | if(TMath::Abs(tmp-fmaxMass) > 1e-6){ | |
831 | cout<<"Right bound "<<tmp<<" is not allowed, changing it to the nearest value allowed: "<<fmaxMass<<endl; | |
832 | rightok=kTRUE; | |
833 | } | |
834 | ||
835 | return (leftok && rightok); | |
836 | ||
837 | } | |
838 | ||
fabf4d8e | 839 | //__________________________________________________________________________ |
840 | ||
34c79b83 | 841 | Bool_t AliHFMassFitter::MassFitter(Bool_t draw){ |
fabf4d8e | 842 | // Main method of the class: performs the fit of the histogram |
ad73ca8f | 843 | |
844 | //Set default fitter Minuit in order to use gMinuit in the contour plots | |
845 | TVirtualFitter::SetDefaultFitter("Minuit"); | |
846 | ||
fabf4d8e | 847 | Int_t nFitPars=0; //total function's number of parameters |
848 | switch (ftypeOfFit4Bkg){ | |
849 | case 0: | |
850 | nFitPars=5; //3+2 | |
851 | break; | |
852 | case 1: | |
853 | nFitPars=5; //3+2 | |
854 | break; | |
855 | case 2: | |
856 | nFitPars=6; //3+3 | |
857 | break; | |
858 | case 3: | |
859 | nFitPars=4; //3+1 | |
860 | break; | |
861 | } | |
862 | ||
863 | Int_t bkgPar = nFitPars-3; //background function's number of parameters | |
864 | ||
865 | cout<<"nFitPars = "<<nFitPars<<"\tbkgPar = "<<bkgPar<<endl; | |
866 | ||
ad73ca8f | 867 | |
868 | TString listname="contourplot"; | |
869 | listname+=fcounter; | |
870 | if(!fContourGraph){ | |
871 | fContourGraph=new TList(); | |
872 | fContourGraph->SetOwner(); | |
873 | } | |
874 | ||
875 | fContourGraph->SetName(listname); | |
876 | ||
877 | ||
56cbeefb | 878 | //function names |
879 | TString bkgname="funcbkg"; | |
880 | TString bkg1name="funcbkg1"; | |
881 | TString massname="funcmass"; | |
882 | ||
fabf4d8e | 883 | //Total integral |
d22f0682 | 884 | Double_t totInt = fhistoInvMass->Integral(fhistoInvMass->FindBin(fminMass), fhistoInvMass->FindBin(fmaxMass), "width"); |
fabf4d8e | 885 | |
886 | fSideBands = kTRUE; | |
34c79b83 | 887 | Double_t width=fhistoInvMass->GetBinWidth(8); |
ad73ca8f | 888 | cout<<"fNbin"<<fNbin<<endl; |
34c79b83 | 889 | if (fNbin==0) fNbin=fhistoInvMass->GetNbinsX(); |
d22f0682 | 890 | //Double_t minHisto=fhistoInvMass->GetBinLowEdge(1); |
891 | //Double_t maxHisto=fhistoInvMass->GetBinLowEdge(fNbin)+width; | |
b7d4bc49 | 892 | Bool_t ok=SideBandsBounds(); |
893 | if(!ok) return kFALSE; | |
34c79b83 | 894 | |
fabf4d8e | 895 | //sidebands integral - first approx (from histo) |
b7d4bc49 | 896 | Double_t sideBandsInt=(Double_t)fhistoInvMass->Integral(1,fSideBandl,"width") + (Double_t)fhistoInvMass->Integral(fSideBandr,fNbin,"width"); |
897 | cout<<"------nbin = "<<fNbin<<"\twidth = "<<width<<"\tbinleft = "<<fSideBandl<<"\tbinright = "<<fSideBandr<<endl; | |
fabf4d8e | 898 | cout<<"------sideBandsInt - first approx = "<<sideBandsInt<<endl; |
b7d4bc49 | 899 | if (sideBandsInt<=0) { |
900 | cout<<"! sideBandsInt <=0. There's a problem, cannot start the fit"<<endl; | |
901 | return kFALSE; | |
902 | } | |
903 | ||
fabf4d8e | 904 | /*Fit Bkg*/ |
905 | ||
16856d6e | 906 | |
d22f0682 | 907 | TF1 *funcbkg = new TF1(bkgname.Data(),this,&AliHFMassFitter::FitFunction4Bkg,fminMass,fmaxMass,bkgPar,"AliHFMassFitter","FitFunction4Bkg"); |
56cbeefb | 908 | cout<<"Function name = "<<funcbkg->GetName()<<endl<<endl; |
fabf4d8e | 909 | |
910 | funcbkg->SetLineColor(2); //red | |
911 | ||
912 | //first fit for bkg: approx bkgint | |
913 | ||
914 | switch (ftypeOfFit4Bkg) { | |
915 | case 0: //gaus+expo | |
916 | funcbkg->SetParNames("BkgInt","Slope"); | |
917 | funcbkg->SetParameters(sideBandsInt,-2.); | |
918 | break; | |
919 | case 1: | |
920 | funcbkg->SetParNames("BkgInt","Slope"); | |
921 | funcbkg->SetParameters(sideBandsInt,-100.); | |
922 | break; | |
923 | case 2: | |
924 | funcbkg->SetParNames("BkgInt","Coef1","Coef2"); | |
925 | funcbkg->SetParameters(sideBandsInt,-10.,5); | |
926 | break; | |
927 | case 3: | |
928 | if(ftypeOfFit4Sgn==0){ | |
fabf4d8e | 929 | funcbkg->SetParNames("Const"); |
930 | funcbkg->SetParameter(0,0.); | |
931 | funcbkg->FixParameter(0,0.); | |
932 | } | |
933 | break; | |
934 | default: | |
935 | cout<<"Wrong choise of ftypeOfFit4Bkg ("<<ftypeOfFit4Bkg<<")"<<endl; | |
34c79b83 | 936 | return kFALSE; |
fabf4d8e | 937 | break; |
938 | } | |
939 | cout<<"\nBACKGROUND FIT - only combinatorial"<<endl; | |
940 | Int_t ftypeOfFit4SgnBkp=ftypeOfFit4Sgn; | |
941 | ||
942 | Double_t intbkg1=0,slope1=0,conc1=0; | |
56cbeefb | 943 | //if only signal and reflection: skip |
fabf4d8e | 944 | if (!(ftypeOfFit4Bkg==3 && ftypeOfFit4Sgn==1)) { |
945 | ftypeOfFit4Sgn=0; | |
56cbeefb | 946 | fhistoInvMass->Fit(bkgname.Data(),"R,L,E,0"); |
fabf4d8e | 947 | |
948 | for(Int_t i=0;i<bkgPar;i++){ | |
949 | fFitPars[i]=funcbkg->GetParameter(i); | |
950 | //cout<<i<<"\t"<<funcbkg->GetParameter(i)<<"\t"; | |
951 | fFitPars[nFitPars+2*bkgPar+3+i]= funcbkg->GetParError(i); | |
952 | //cout<<nFitPars+2*bkgPar+3+i<<"\t"<< funcbkg->GetParError(i)<<endl; | |
953 | } | |
b7d4bc49 | 954 | fSideBands = kFALSE; |
34c79b83 | 955 | //intbkg1 = funcbkg->GetParameter(0); |
956 | funcbkg->SetRange(fminMass,fmaxMass); | |
957 | intbkg1 = funcbkg->Integral(fminMass,fmaxMass); | |
fabf4d8e | 958 | if(ftypeOfFit4Bkg!=3) slope1 = funcbkg->GetParameter(1); |
959 | if(ftypeOfFit4Bkg==2) conc1 = funcbkg->GetParameter(2); | |
6321ee46 | 960 | cout<<"First fit: \nintbkg1 = "<<intbkg1<<"\t(Compare with par0 = "<<funcbkg->GetParameter(0)<<")\nslope1= "<<slope1<<"\nconc1 = "<<conc1<<endl; |
56cbeefb | 961 | } |
962 | else cout<<"\t\t//"<<endl; | |
fabf4d8e | 963 | |
964 | ftypeOfFit4Sgn=ftypeOfFit4SgnBkp; | |
965 | TF1 *funcbkg1=0; | |
966 | if (ftypeOfFit4Sgn == 1) { | |
967 | cout<<"\nBACKGROUND FIT WITH REFLECTION"<<endl; | |
968 | bkgPar+=3; | |
969 | ||
56cbeefb | 970 | cout<<"nFitPars = "<<nFitPars<<"\tbkgPar = "<<bkgPar<<endl; |
971 | ||
972 | funcbkg1 = new TF1(bkg1name.Data(),this,&AliHFMassFitter::FitFunction4Bkg,fminMass,fmaxMass,bkgPar,"AliHFMassFitter","FitFunction4Bkg"); | |
973 | cout<<"Function name = "<<funcbkg1->GetName()<<endl; | |
974 | ||
fabf4d8e | 975 | funcbkg1->SetLineColor(2); //red |
976 | ||
977 | if(ftypeOfFit4Bkg==2){ | |
978 | cout<<"*** Polynomial Fit ***"<<endl; | |
979 | funcbkg1->SetParNames("IntGB","MeanGB","SigmaGB","BkgInt","Coef1","Coef2"); | |
980 | funcbkg1->SetParameters(0.5*(totInt-intbkg1),fMass,ffactor*fSigmaSgn,intbkg1,slope1,conc1); | |
6321ee46 | 981 | |
982 | //cout<<"Parameters set to: "<<0.5*(totInt-intbkg1)<<"\t"<<fMass<<"\t"<<ffactor*fSigmaSgn<<"\t"<<intbkg1<<"\t"<<slope1<<"\t"<<conc1<<"\t"<<endl; | |
983 | //cout<<"Limits: ("<<fminMass<<","<<fmaxMass<<")\tnPar = "<<bkgPar<<"\tgsidebands = "<<fSideBands<<endl; | |
fabf4d8e | 984 | } else{ |
985 | if(ftypeOfFit4Bkg==3) //no background: gaus sign+ gaus broadened | |
986 | { | |
987 | cout<<"*** No background Fit ***"<<endl; | |
988 | funcbkg1->SetParNames("IntGB","MeanGB","SigmaGB","Const"); | |
989 | funcbkg1->SetParameters(0.5*totInt,fMass,ffactor*fSigmaSgn,0.); | |
990 | funcbkg1->FixParameter(3,0.); | |
991 | } else{ //expo or linear | |
992 | if(ftypeOfFit4Bkg==0) cout<<"*** Exponential Fit ***"<<endl; | |
993 | if(ftypeOfFit4Bkg==1) cout<<"*** Linear Fit ***"<<endl; | |
994 | funcbkg1->SetParNames("IntGB","MeanGB","SigmaGB","BkgInt","Slope"); | |
995 | funcbkg1->SetParameters(0.5*(totInt-intbkg1),fMass,ffactor*fSigmaSgn,intbkg1,slope1); | |
996 | } | |
997 | } | |
6321ee46 | 998 | Int_t status=fhistoInvMass->Fit(bkg1name.Data(),"R,L,E,+,0"); |
999 | if (status != 0){ | |
1000 | cout<<"Minuit returned "<<status<<endl; | |
1001 | return kFALSE; | |
1002 | } | |
1003 | ||
fabf4d8e | 1004 | for(Int_t i=0;i<bkgPar;i++){ |
1005 | fFitPars[bkgPar-3+i]=funcbkg1->GetParameter(i); | |
1006 | //cout<<bkgPar-3+i<<"\t"<<funcbkg1->GetParameter(i); | |
1007 | fFitPars[nFitPars+3*bkgPar-6+i]= funcbkg1->GetParError(i); | |
56cbeefb | 1008 | //cout<<"\t"<<nFitPars+3*bkgPar-6+i<<"\t"<<funcbkg1->GetParError(i)<<endl; |
fabf4d8e | 1009 | } |
1010 | ||
1011 | intbkg1=funcbkg1->GetParameter(3); | |
1012 | if(ftypeOfFit4Bkg!=3) slope1 = funcbkg1->GetParameter(4); | |
1013 | if(ftypeOfFit4Bkg==2) conc1 = funcbkg1->GetParameter(5); | |
1014 | ||
1015 | } else { | |
1016 | bkgPar+=3; | |
1017 | ||
1018 | for(Int_t i=0;i<3;i++){ | |
1019 | fFitPars[bkgPar-3+i]=0.; | |
56cbeefb | 1020 | cout<<bkgPar-3+i<<"\t"<<0.<<"\t"; |
fabf4d8e | 1021 | fFitPars[nFitPars+3*bkgPar-6+i]= 0.; |
56cbeefb | 1022 | cout<<nFitPars+3*bkgPar-6+i<<"\t"<<0.<<endl; |
fabf4d8e | 1023 | } |
1024 | ||
1025 | for(Int_t i=0;i<bkgPar-3;i++){ | |
1026 | fFitPars[bkgPar+i]=funcbkg->GetParameter(i); | |
56cbeefb | 1027 | cout<<bkgPar+i<<"\t"<<funcbkg->GetParameter(i)<<"\t"; |
fabf4d8e | 1028 | fFitPars[nFitPars+3*bkgPar-3+i]= funcbkg->GetParError(i); |
56cbeefb | 1029 | cout<<nFitPars+3*bkgPar-3+i<<"\t"<< funcbkg->GetParError(i)<<endl; |
fabf4d8e | 1030 | } |
1031 | ||
1032 | ||
1033 | } | |
1034 | ||
1035 | //sidebands integral - second approx (from fit) | |
1036 | fSideBands = kFALSE; | |
1037 | Double_t bkgInt; | |
b7d4bc49 | 1038 | cout<<"Compare intbkg1 = "<<intbkg1<<" and integral = "; |
fabf4d8e | 1039 | if(ftypeOfFit4Sgn == 1) bkgInt=funcbkg1->Integral(fminMass,fmaxMass); |
1040 | else bkgInt=funcbkg->Integral(fminMass,fmaxMass); | |
b7d4bc49 | 1041 | cout<</*"------BkgInt(Fit) = "<<*/bkgInt<<endl; |
fabf4d8e | 1042 | |
1043 | //Signal integral - first approx | |
1044 | Double_t sgnInt; | |
1045 | sgnInt = totInt-bkgInt; | |
1046 | cout<<"------TotInt = "<<totInt<<"\tsgnInt = "<<sgnInt<<endl; | |
6321ee46 | 1047 | if (sgnInt <= 0){ |
1048 | cout<<"Setting sgnInt = - sgnInt"<<endl; | |
1049 | sgnInt=- sgnInt; | |
1050 | } | |
fabf4d8e | 1051 | /*Fit All Mass distribution with exponential + gaussian (+gaussiam braodened) */ |
56cbeefb | 1052 | TF1 *funcmass = new TF1(massname.Data(),this,&AliHFMassFitter::FitFunction4MassDistr,fminMass,fmaxMass,nFitPars,"AliHFMassFitter","FitFunction4MassDistr"); |
1053 | cout<<"Function name = "<<funcmass->GetName()<<endl<<endl; | |
fabf4d8e | 1054 | funcmass->SetLineColor(4); //blue |
1055 | ||
1056 | //Set parameters | |
1057 | cout<<"\nTOTAL FIT"<<endl; | |
1058 | ||
1059 | if(nFitPars==5){ | |
1060 | funcmass->SetParNames("TotInt","Slope","SgnInt","Mean","Sigma"); | |
1061 | funcmass->SetParameters(totInt,slope1,sgnInt,fMass,fSigmaSgn); | |
3c0e7d59 | 1062 | |
56cbeefb | 1063 | //cout<<"Parameters set to: "<<totInt<<"\t"<<slope1<<"\t"<<sgnInt<<"\t"<<fMass<<"\t"<<fSigmaSgn<<"\t"<<endl; |
6321ee46 | 1064 | //cout<<"Limits: ("<<fminMass<<","<<fmaxMass<<")\tnPar = "<<nFitPars<<"\tgsidebands = "<<fSideBands<<endl; |
a12d80b8 | 1065 | if(fFixPar[0]){ |
1066 | cout<<"fix1"<<endl; | |
1067 | funcmass->FixParameter(0,totInt); | |
1068 | } | |
1069 | if(fFixPar[1]){ | |
1070 | cout<<"fix2"<<endl; | |
1071 | funcmass->FixParameter(1,slope1); | |
1072 | } | |
1073 | if(fFixPar[2]){ | |
1074 | cout<<"fix3"<<endl; | |
1075 | funcmass->FixParameter(2,sgnInt); | |
1076 | } | |
1077 | if(fFixPar[3]){ | |
1078 | cout<<"fix4"<<endl; | |
1079 | funcmass->FixParameter(3,fMass); | |
1080 | } | |
1081 | if(fFixPar[4]){ | |
1082 | cout<<"fix5"<<endl; | |
1083 | funcmass->FixParameter(4,fSigmaSgn); | |
1084 | } | |
fabf4d8e | 1085 | } |
1086 | if (nFitPars==6){ | |
1087 | funcmass->SetParNames("TotInt","Coef1","Coef2","SgnInt","Mean","Sigma"); | |
1088 | funcmass->SetParameters(totInt,slope1,conc1,sgnInt,fMass,fSigmaSgn); | |
3c0e7d59 | 1089 | |
6321ee46 | 1090 | //cout<<"Parameters set to: "<<totInt<<"\t"<<slope1<<"\t"<<conc1<<"\t"<<sgnInt<<"\t"<<fMass<<"\t"<<fSigmaSgn<<"\t"<<endl; |
1091 | //cout<<"Limits: ("<<fminMass<<","<<fmaxMass<<")\tnPar = "<<nFitPars<<"\tgsidebands = "<<fSideBands<<endl; | |
3c0e7d59 | 1092 | if(fFixPar[0])funcmass->FixParameter(0,totInt); |
1093 | if(fFixPar[1])funcmass->FixParameter(1,slope1); | |
1094 | if(fFixPar[2])funcmass->FixParameter(2,conc1); | |
1095 | if(fFixPar[3])funcmass->FixParameter(3,sgnInt); | |
1096 | if(fFixPar[4])funcmass->FixParameter(4,fMass); | |
1097 | if(fFixPar[5])funcmass->FixParameter(5,fSigmaSgn); | |
1098 | // | |
1099 | //funcmass->FixParameter(2,sgnInt); | |
fabf4d8e | 1100 | } |
1101 | if(nFitPars==4){ | |
1102 | funcmass->SetParNames("Const","SgnInt","Mean","Sigma"); | |
56cbeefb | 1103 | if(ftypeOfFit4Sgn == 1) funcmass->SetParameters(0.,0.5*totInt,fMass,fSigmaSgn); |
1104 | else funcmass->SetParameters(0.,totInt,fMass,fSigmaSgn); | |
3c0e7d59 | 1105 | if(fFixPar[0]) funcmass->FixParameter(0,0.); |
fabf4d8e | 1106 | //cout<<"Parameters set to: "<<0.5*totInt<<"\t"<<fMass<<"\t"<<fSigmaSgn<<"\t"<<endl; |
1107 | //cout<<"Limits: ("<<fminMass<<","<<fmaxMass<<")\tnPar = "<<nFitPars<<"\tgsidebands = "<<fSideBands<<endl; | |
1108 | ||
1109 | } | |
3c0e7d59 | 1110 | //funcmass->FixParameter(nFitPars-2,fMass); |
1111 | //funcmass->SetParLimits(nFitPars-1,0.007,0.05); | |
1112 | //funcmass->SetParLimits(nFitPars-2,fMass-0.01,fMass+0.01); | |
6321ee46 | 1113 | Int_t status; |
1114 | ||
1115 | status = fhistoInvMass->Fit(massname.Data(),"R,L,E,+,0"); | |
1116 | if (status != 0){ | |
1117 | cout<<"Minuit returned "<<status<<endl; | |
1118 | return kFALSE; | |
1119 | } | |
1120 | ||
fabf4d8e | 1121 | cout<<"fit done"<<endl; |
0566386c | 1122 | //reset value of fMass and fSigmaSgn to those found from fit |
1123 | fMass=funcmass->GetParameter(nFitPars-2); | |
1124 | fSigmaSgn=funcmass->GetParameter(nFitPars-1); | |
fabf4d8e | 1125 | |
1126 | for(Int_t i=0;i<nFitPars;i++){ | |
1127 | fFitPars[i+2*bkgPar-3]=funcmass->GetParameter(i); | |
1128 | fFitPars[nFitPars+4*bkgPar-6+i]= funcmass->GetParError(i); | |
56cbeefb | 1129 | //cout<<i+2*bkgPar-3<<"\t"<<funcmass->GetParameter(i)<<"\t\t"<<nFitPars+4*bkgPar-6+i<<"\t"<<funcmass->GetParError(i)<<endl; |
fabf4d8e | 1130 | } |
1131 | /* | |
1132 | //check: cout parameters | |
1133 | for(Int_t i=0;i<2*(nFitPars+2*bkgPar-3);i++){ | |
1134 | cout<<i<<"\t"<<fFitPars[i]<<endl; | |
1135 | } | |
1136 | */ | |
74179930 | 1137 | |
a60f573d | 1138 | // if(draw){ |
1139 | // TCanvas *canvas=new TCanvas(fhistoInvMass->GetName(),fhistoInvMass->GetName()); | |
1140 | // TH1F *fhistocopy=new TH1F(*fhistoInvMass); | |
1141 | // canvas->cd(); | |
1142 | // fhistocopy->DrawClone(); | |
1143 | // if(ftypeOfFit4Sgn == 1) funcbkg1->DrawClone("sames"); | |
1144 | // else funcbkg->DrawClone("sames"); | |
1145 | // funcmass->DrawClone("sames"); | |
1146 | // cout<<"Drawn"<<endl; | |
1147 | // } | |
1148 | ||
1149 | if(funcmass->GetParameter(nFitPars-1) <0 || funcmass->GetParameter(nFitPars-2) <0 || funcmass->GetParameter(nFitPars-3) <0 ) { | |
1150 | cout<<"IntS or mean or sigma negative. You may tray to SetInitialGaussianSigma(..) and SetInitialGaussianMean(..)"<<endl; | |
b7d4bc49 | 1151 | return kFALSE; |
1152 | } | |
0566386c | 1153 | |
56cbeefb | 1154 | //increase counter of number of fits done |
1155 | fcounter++; | |
1156 | ||
ad73ca8f | 1157 | //contour plots |
1158 | if(draw){ | |
1159 | ||
1160 | for (Int_t kpar=1; kpar<nFitPars;kpar++){ | |
1161 | ||
1162 | for(Int_t jpar=kpar+1;jpar<nFitPars;jpar++){ | |
1163 | cout<<"Par "<<kpar<<" and "<<jpar<<endl; | |
1164 | ||
1165 | // produce 2 contours per couple of parameters | |
1166 | TGraph* cont[2] = {0x0, 0x0}; | |
1167 | const Double_t errDef[2] = {1., 4.}; | |
1168 | for (Int_t i=0; i<2; i++) { | |
1169 | gMinuit->SetErrorDef(errDef[i]); | |
1170 | cont[i] = (TGraph*)gMinuit->Contour(80,kpar,jpar); | |
6321ee46 | 1171 | cout<<"Minuit Status = "<<gMinuit->GetStatus()<<endl; |
ad73ca8f | 1172 | } |
1173 | ||
1174 | if(!cont[0] || !cont[1]){ | |
1175 | cout<<"Skipping par "<<kpar<<" vs par "<<jpar<<endl; | |
1176 | continue; | |
1177 | } | |
1178 | ||
1179 | // set graph titles and add them to the list | |
1180 | TString title = "Contour plot"; | |
1181 | TString titleX = funcmass->GetParName(kpar); | |
1182 | TString titleY = funcmass->GetParName(jpar); | |
1183 | for (Int_t i=0; i<2; i++) { | |
1184 | cont[i]->SetName( Form("cperr%d_%d%d", i, kpar, jpar) ); | |
1185 | cont[i]->SetTitle(title); | |
1186 | cont[i]->GetXaxis()->SetTitle(titleX); | |
1187 | cont[i]->GetYaxis()->SetTitle(titleY); | |
1188 | cont[i]->GetYaxis()->SetLabelSize(0.033); | |
1189 | cont[i]->GetYaxis()->SetTitleSize(0.033); | |
1190 | cont[i]->GetYaxis()->SetTitleOffset(1.67); | |
1191 | ||
1192 | fContourGraph->Add(cont[i]); | |
1193 | } | |
1194 | ||
1195 | // plot them | |
1196 | TString cvname = Form("c%d%d", kpar, jpar); | |
1197 | TCanvas *c4=new TCanvas(cvname,cvname,600,600); | |
1198 | c4->cd(); | |
1199 | cont[1]->SetFillColor(38); | |
1200 | cont[1]->Draw("alf"); | |
1201 | cont[0]->SetFillColor(9); | |
1202 | cont[0]->Draw("lf"); | |
1203 | ||
1204 | } | |
1205 | ||
1206 | } | |
1207 | ||
1208 | } | |
1209 | ||
a60f573d | 1210 | if (ftypeOfFit4Sgn == 1 && funcbkg1) { |
1211 | delete funcbkg1; | |
1212 | funcbkg1=NULL; | |
1213 | } | |
1214 | if (funcbkg) { | |
1215 | delete funcbkg; | |
1216 | funcbkg=NULL; | |
1217 | } | |
1218 | if (funcmass) { | |
1219 | delete funcmass; | |
1220 | funcmass=NULL; | |
1221 | } | |
16856d6e | 1222 | |
1223 | AddFunctionsToHisto(); | |
a60f573d | 1224 | if (draw) DrawFit(); |
16856d6e | 1225 | |
1226 | ||
34c79b83 | 1227 | return kTRUE; |
1228 | } | |
5a8a84f8 | 1229 | |
1230 | //______________________________________________________________________________ | |
1231 | ||
1232 | Bool_t AliHFMassFitter::RefitWithBkgOnly(Bool_t draw){ | |
1233 | ||
1234 | //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 | |
1235 | //If you want to change the backgroud function or range use SetType or SetRangeFit before | |
1236 | ||
1237 | TString bkgname="funcbkgonly"; | |
1238 | fSideBands = kFALSE; | |
1239 | ||
1240 | TF1* funcbkg = new TF1(bkgname.Data(),this,&AliHFMassFitter::FitFunction4Bkg,fminMass,fmaxMass,fNFinalPars-3,"AliHFMassFitter","FitFunction4Bkg"); | |
1241 | ||
1242 | funcbkg->SetLineColor(kBlue+3); //dark blue | |
1243 | ||
1244 | Double_t integral=fhistoInvMass->Integral(fhistoInvMass->FindBin(fminMass),fhistoInvMass->FindBin(fmaxMass),"width"); | |
1245 | ||
1246 | switch (ftypeOfFit4Bkg) { | |
1247 | case 0: //gaus+expo | |
1248 | funcbkg->SetParNames("BkgInt","Slope"); | |
1249 | funcbkg->SetParameters(integral,-2.); | |
1250 | break; | |
1251 | case 1: | |
1252 | funcbkg->SetParNames("BkgInt","Slope"); | |
1253 | funcbkg->SetParameters(integral,-100.); | |
1254 | break; | |
1255 | case 2: | |
1256 | funcbkg->SetParNames("BkgInt","Coef1","Coef2"); | |
1257 | funcbkg->SetParameters(integral,-10.,5); | |
1258 | break; | |
1259 | case 3: | |
1260 | cout<<"Warning! This choice does not have a lot of sense..."<<endl; | |
1261 | if(ftypeOfFit4Sgn==0){ | |
1262 | funcbkg->SetParNames("Const"); | |
1263 | funcbkg->SetParameter(0,0.); | |
1264 | funcbkg->FixParameter(0,0.); | |
1265 | } | |
1266 | break; | |
1267 | default: | |
1268 | cout<<"Wrong choise of ftypeOfFit4Bkg ("<<ftypeOfFit4Bkg<<")"<<endl; | |
1269 | return kFALSE; | |
1270 | break; | |
1271 | } | |
1272 | ||
1273 | ||
1274 | Int_t status=fhistoInvMass->Fit(bkgname.Data(),"R,L,E,+,0"); | |
1275 | if (status != 0){ | |
1276 | cout<<"Minuit returned "<<status<<endl; | |
1277 | return kFALSE; | |
1278 | } | |
1279 | AddFunctionsToHisto(); | |
1280 | ||
1281 | if(draw) DrawFit(); | |
1282 | ||
1283 | return kTRUE; | |
1284 | ||
1285 | } | |
34c79b83 | 1286 | //_________________________________________________________________________ |
1287 | Double_t AliHFMassFitter::GetChiSquare() const{ | |
1288 | TF1 *funcmass=(TF1*)fhistoInvMass->GetFunction("funcmass"); | |
1289 | return funcmass->GetChisquare(); | |
fabf4d8e | 1290 | } |
56cbeefb | 1291 | |
b7d4bc49 | 1292 | //_________________________________________________________________________ |
1293 | Double_t AliHFMassFitter::GetReducedChiSquare() const{ | |
1294 | TF1 *funcmass=(TF1*)fhistoInvMass->GetFunction("funcmass"); | |
5a8a84f8 | 1295 | if(!funcmass) { |
1296 | cout<<"funcmass not found"<<endl; | |
1297 | return -1; | |
1298 | } | |
b7d4bc49 | 1299 | return funcmass->GetChisquare()/funcmass->GetNDF(); |
1300 | } | |
1301 | ||
56cbeefb | 1302 | //*********output |
1303 | ||
fabf4d8e | 1304 | //_________________________________________________________________________ |
2f328d65 | 1305 | void AliHFMassFitter::GetFitPars(Float_t *vector) const { |
fabf4d8e | 1306 | // Return fit parameters |
a12d80b8 | 1307 | |
2f328d65 | 1308 | for(Int_t i=0;i<fParsSize;i++){ |
1309 | vector[i]=fFitPars[i]; | |
fabf4d8e | 1310 | } |
1311 | } | |
fabf4d8e | 1312 | |
fabf4d8e | 1313 | |
6321ee46 | 1314 | //_________________________________________________________________________ |
dc262918 | 1315 | void AliHFMassFitter::IntS(Float_t *valuewitherror) const { |
1316 | ||
1317 | //gives the integral of signal obtained from fit parameters | |
a12d80b8 | 1318 | if(!valuewitherror)valuewitherror=new Float_t[2]; |
dc262918 | 1319 | |
6321ee46 | 1320 | Int_t index=fParsSize/2 - 3; |
1321 | valuewitherror[0]=fFitPars[index]; | |
1322 | index=fParsSize - 3; | |
1323 | valuewitherror[1]=fFitPars[index]; | |
1324 | } | |
1325 | ||
1326 | ||
16856d6e | 1327 | //_________________________________________________________________________ |
1328 | void AliHFMassFitter::AddFunctionsToHisto(){ | |
fabf4d8e | 1329 | |
dc262918 | 1330 | //Add the background function in the complete range to the list of functions attached to the histogram |
1331 | ||
16856d6e | 1332 | cout<<"AddFunctionsToHisto called"<<endl; |
56cbeefb | 1333 | TString bkgname = "funcbkg"; |
ab0fa301 | 1334 | Int_t np=-99; |
56cbeefb | 1335 | switch (ftypeOfFit4Bkg){ |
16856d6e | 1336 | case 0: //expo |
56cbeefb | 1337 | np=2; |
1338 | break; | |
16856d6e | 1339 | case 1: //linear |
56cbeefb | 1340 | np=2; |
1341 | break; | |
16856d6e | 1342 | case 2: //pol2 |
56cbeefb | 1343 | np=3; |
1344 | break; | |
16856d6e | 1345 | case 3: //no bkg |
56cbeefb | 1346 | np=1; |
1347 | break; | |
1348 | } | |
1349 | if (ftypeOfFit4Sgn == 1) { | |
1350 | bkgname += 1; | |
1351 | np+=3; | |
1352 | } | |
16856d6e | 1353 | |
5a8a84f8 | 1354 | Bool_t done1=kFALSE,done2=kFALSE; |
1355 | ||
16856d6e | 1356 | TString bkgnamesave=bkgname; |
1357 | TString testname=bkgname; | |
1358 | testname += "FullRange"; | |
1359 | TF1 *testfunc=(TF1*)fhistoInvMass->FindObject(testname.Data()); | |
1360 | if(testfunc){ | |
5a8a84f8 | 1361 | done1=kTRUE; |
1362 | testfunc=0x0; | |
1363 | } | |
1364 | testname="funcbkgonly"; | |
1365 | testfunc=(TF1*)fhistoInvMass->FindObject(testname.Data()); | |
1366 | if(testfunc){ | |
1367 | done2=kTRUE; | |
1368 | testfunc=0x0; | |
1369 | } | |
1370 | ||
1371 | if(done1 && done2){ | |
16856d6e | 1372 | cout<<"AddFunctionsToHisto already used: exiting...."<<endl; |
1373 | return; | |
1374 | } | |
1375 | ||
1376 | TList *hlist=fhistoInvMass->GetListOfFunctions(); | |
34c79b83 | 1377 | hlist->ls(); |
16856d6e | 1378 | |
5a8a84f8 | 1379 | if(!done2){ |
1380 | TF1 *bonly=(TF1*)hlist->FindObject(testname.Data()); | |
1381 | if(!bonly){ | |
1382 | cout<<testname.Data()<<" not found looking for complete fit"<<endl; | |
1383 | }else{ | |
1384 | bonly->SetLineColor(kBlue+3); | |
1385 | hlist->Add((TF1*)bonly->Clone()); | |
1386 | if(bonly) { | |
1387 | delete bonly; | |
1388 | bonly=NULL; | |
1389 | } | |
1390 | } | |
a60f573d | 1391 | |
16856d6e | 1392 | } |
1393 | ||
5a8a84f8 | 1394 | if(!done1){ |
1395 | TF1 *b=(TF1*)hlist->FindObject(bkgname.Data()); | |
1396 | if(!b){ | |
1397 | cout<<bkgname<<" not found, cannot produce "<<bkgname<<"FullRange and "<<bkgname<<"Recalc"<<endl; | |
1398 | return; | |
1399 | } | |
16856d6e | 1400 | |
5a8a84f8 | 1401 | bkgname += "FullRange"; |
1402 | TF1 *bfullrange=new TF1(bkgname.Data(),this,&AliHFMassFitter::FitFunction4Bkg,fminMass,fmaxMass,np,"AliHFMassFitter","FitFunction4Bkg"); | |
1403 | //cout<<bfullrange->GetName()<<endl; | |
1404 | for(Int_t i=0;i<np;i++){ | |
1405 | //cout<<i<<" di "<<np<<endl; | |
1406 | bfullrange->SetParName(i,b->GetParName(i)); | |
1407 | bfullrange->SetParameter(i,b->GetParameter(i)); | |
1408 | bfullrange->SetParError(i,b->GetParError(i)); | |
1409 | } | |
1410 | bfullrange->SetLineStyle(4); | |
1411 | bfullrange->SetLineColor(14); | |
16856d6e | 1412 | |
5a8a84f8 | 1413 | bkgnamesave += "Recalc"; |
16856d6e | 1414 | |
5a8a84f8 | 1415 | TF1 *blastpar=new TF1(bkgnamesave.Data(),this,&AliHFMassFitter::FitFunction4Bkg,fminMass,fmaxMass,np,"AliHFMassFitter","FitFunction4Bkg"); |
16856d6e | 1416 | |
5a8a84f8 | 1417 | TF1 *mass=fhistoInvMass->GetFunction("funcmass"); |
16856d6e | 1418 | |
5a8a84f8 | 1419 | if (!mass){ |
1420 | cout<<"funcmass doesn't exist "<<endl; | |
1421 | return; | |
1422 | } | |
16856d6e | 1423 | |
5a8a84f8 | 1424 | blastpar->SetParameter(0,mass->GetParameter(0)-mass->GetParameter(np)); |
1425 | blastpar->SetParError(0,mass->GetParError(np)); | |
1426 | if (np>=2) { | |
1427 | blastpar->SetParameter(1,mass->GetParameter(1)); | |
1428 | blastpar->SetParError(1,mass->GetParError(1)); | |
1429 | } | |
1430 | if (np==3) { | |
1431 | blastpar->SetParameter(2,mass->GetParameter(2)); | |
1432 | blastpar->SetParError(2,mass->GetParError(2)); | |
1433 | } | |
1434 | ||
1435 | blastpar->SetLineStyle(1); | |
1436 | blastpar->SetLineColor(2); | |
1437 | ||
1438 | hlist->Add((TF1*)bfullrange->Clone()); | |
1439 | hlist->Add((TF1*)blastpar->Clone()); | |
1440 | hlist->ls(); | |
34c79b83 | 1441 | |
5a8a84f8 | 1442 | if(bfullrange) { |
1443 | delete bfullrange; | |
1444 | bfullrange=NULL; | |
1445 | } | |
1446 | if(blastpar) { | |
1447 | delete blastpar; | |
1448 | blastpar=NULL; | |
1449 | } | |
a60f573d | 1450 | } |
5a8a84f8 | 1451 | |
1452 | ||
16856d6e | 1453 | } |
1454 | ||
1455 | //_________________________________________________________________________ | |
1456 | ||
1457 | TH1F* AliHFMassFitter::GetHistoClone() const{ | |
1458 | ||
1459 | TH1F* hout=(TH1F*)fhistoInvMass->Clone(fhistoInvMass->GetName()); | |
1460 | return hout; | |
1461 | } | |
1462 | //_________________________________________________________________________ | |
1463 | ||
dc262918 | 1464 | void AliHFMassFitter::WriteHisto(TString path) const { |
1465 | ||
1466 | //Write the histogram in the default file HFMassFitterOutput.root | |
1467 | ||
16856d6e | 1468 | if (fcounter == 0) { |
1469 | cout<<"Use MassFitter method before WriteHisto"<<endl; | |
1470 | return; | |
1471 | } | |
1472 | TH1F* hget=(TH1F*)fhistoInvMass->Clone(); | |
1473 | ||
56cbeefb | 1474 | path += "HFMassFitterOutput.root"; |
1475 | TFile *output; | |
34c79b83 | 1476 | |
56cbeefb | 1477 | if (fcounter == 1) output = new TFile(path.Data(),"recreate"); |
1478 | else output = new TFile(path.Data(),"update"); | |
1479 | output->cd(); | |
1480 | hget->Write(); | |
ad73ca8f | 1481 | fContourGraph->Write(); |
a12d80b8 | 1482 | |
1483 | ||
56cbeefb | 1484 | output->Close(); |
fabf4d8e | 1485 | |
56cbeefb | 1486 | cout<<fcounter<<" "<<hget->GetName()<<" written in "<<path<<endl; |
fabf4d8e | 1487 | |
a60f573d | 1488 | if(output) { |
1489 | delete output; | |
1490 | output=NULL; | |
1491 | } | |
fabf4d8e | 1492 | |
fabf4d8e | 1493 | } |
1494 | ||
1495 | //_________________________________________________________________________ | |
1496 | ||
56cbeefb | 1497 | void AliHFMassFitter::WriteNtuple(TString path) const{ |
a60f573d | 1498 | //TNtuple* nget=(TNtuple*)fntuParam->Clone(); |
56cbeefb | 1499 | path += "HFMassFitterOutput.root"; |
1500 | TFile *output = new TFile(path.Data(),"update"); | |
1501 | output->cd(); | |
a60f573d | 1502 | fntuParam->Write(); |
1503 | //nget->Write(); | |
56cbeefb | 1504 | output->Close(); |
a60f573d | 1505 | //cout<<nget->GetName()<<" written in "<<path<<endl; |
1506 | cout<<fntuParam->GetName()<<" written in "<<path<<endl; | |
1507 | /* | |
1508 | if(nget) { | |
1509 | //delete nget; | |
1510 | nget=NULL; | |
1511 | } | |
1512 | */ | |
1513 | if(output) { | |
1514 | delete output; | |
1515 | output=NULL; | |
1516 | } | |
1517 | } | |
1518 | ||
1519 | //_________________________________________________________________________ | |
d22f0682 | 1520 | void AliHFMassFitter::WriteCanvas(TString userIDstring,TString path,Double_t nsigma,Int_t writeFitInfo,Bool_t draw) const{ |
1521 | ||
1522 | //write the canvas in a root file | |
1523 | ||
1524 | gStyle->SetOptStat(0); | |
1525 | gStyle->SetCanvasColor(0); | |
1526 | gStyle->SetFrameFillColor(0); | |
1527 | ||
1528 | TString type=""; | |
a60f573d | 1529 | |
d22f0682 | 1530 | switch (ftypeOfFit4Bkg){ |
1531 | case 0: | |
1532 | type="Exp"; //3+2 | |
1533 | break; | |
1534 | case 1: | |
1535 | type="Lin"; //3+2 | |
1536 | break; | |
1537 | case 2: | |
1538 | type="Pl2"; //3+3 | |
1539 | break; | |
1540 | case 3: | |
1541 | type="noB"; //3+1 | |
1542 | break; | |
1543 | } | |
1544 | ||
1545 | TString filename=Form("%sMassFit.root",type.Data()); | |
1546 | filename.Prepend(userIDstring); | |
1547 | path.Append(filename); | |
1548 | ||
1549 | TFile* outputcv=new TFile(path.Data(),"update"); | |
1550 | ||
1551 | TCanvas* c=(TCanvas*)GetPad(nsigma,writeFitInfo); | |
1552 | c->SetName(Form("%s%s%s",c->GetName(),userIDstring.Data(),type.Data())); | |
1553 | if(draw)c->DrawClone(); | |
1554 | outputcv->cd(); | |
1555 | c->Write(); | |
1556 | outputcv->Close(); | |
1557 | } | |
1558 | ||
1559 | //_________________________________________________________________________ | |
1560 | ||
1561 | TVirtualPad* AliHFMassFitter::GetPad(Double_t nsigma,Int_t writeFitInfo)const{ | |
a12d80b8 | 1562 | //return a TVirtualPad with the fitted histograms and info |
dc262918 | 1563 | |
a60f573d | 1564 | TString cvtitle="fit of "; |
1565 | cvtitle+=fhistoInvMass->GetName(); | |
1566 | TString cvname="c"; | |
1567 | cvname+=fcounter; | |
1568 | ||
d22f0682 | 1569 | TCanvas *c=new TCanvas(cvname,cvtitle); |
1570 | PlotFit(c->cd(),nsigma,writeFitInfo); | |
a12d80b8 | 1571 | return c->cd(); |
1572 | } | |
1573 | //_________________________________________________________________________ | |
1574 | ||
d22f0682 | 1575 | void AliHFMassFitter::PlotFit(TVirtualPad* pd,Double_t nsigma,Int_t writeFitInfo)const{ |
1576 | //plot histogram, fit functions and write parameters according to verbosity level (0,1,>1) | |
a12d80b8 | 1577 | gStyle->SetOptStat(0); |
1578 | gStyle->SetCanvasColor(0); | |
1579 | gStyle->SetFrameFillColor(0); | |
d22f0682 | 1580 | |
a12d80b8 | 1581 | cout<<"nsigma = "<<nsigma<<endl; |
d22f0682 | 1582 | cout<<"Verbosity = "<<writeFitInfo<<endl; |
a12d80b8 | 1583 | |
3c0e7d59 | 1584 | TH1F* hdraw=GetHistoClone(); |
5a8a84f8 | 1585 | |
1586 | if(!hdraw->GetFunction("funcmass") && !hdraw->GetFunction("funcbkgFullRange") && !hdraw->GetFunction("funcbkgRecalc")&& !hdraw->GetFunction("funcbkgonly")){ | |
1587 | cout<<"Probably fit failed and you didn't try to refit with background only, there's no function to be drawn"<<endl; | |
1588 | return; | |
1589 | } | |
1590 | ||
1591 | if(hdraw->GetFunction("funcbkgonly")){ //Warning! if this function is present, no chance to draw the other! | |
1592 | cout<<"Drawing background fit only"<<endl; | |
1593 | hdraw->SetMinimum(0); | |
1594 | hdraw->GetXaxis()->SetRangeUser(fminMass,fmaxMass); | |
1595 | pd->cd(); | |
1596 | hdraw->SetMarkerStyle(20); | |
1597 | hdraw->DrawClone("PE"); | |
1598 | hdraw->GetFunction("funcbkgonly")->DrawClone("sames"); | |
1599 | ||
1600 | if(writeFitInfo > 0){ | |
1601 | TPaveText *pinfo=new TPaveText(0.6,0.86,1.,1.,"NDC"); | |
1602 | pinfo->SetBorderSize(0); | |
1603 | pinfo->SetFillStyle(0); | |
1604 | TF1* f=hdraw->GetFunction("funcbkgonly"); | |
1605 | for (Int_t i=0;i<fNFinalPars-3;i++){ | |
1606 | pinfo->SetTextColor(kBlue+3); | |
1607 | TString str=Form("%s = %f #pm %f",f->GetParName(i),f->GetParameter(i),f->GetParError(i)); | |
1608 | pinfo->AddText(str); | |
1609 | } | |
1610 | ||
1611 | pinfo->AddText(Form("Reduced #chi^{2} = %.3f",f->GetChisquare()/f->GetNDF())); | |
1612 | pd->cd(); | |
1613 | pinfo->DrawClone(); | |
1614 | ||
1615 | ||
1616 | } | |
1617 | ||
1618 | return; | |
1619 | } | |
1620 | ||
a12d80b8 | 1621 | hdraw->SetMinimum(0); |
d22f0682 | 1622 | hdraw->GetXaxis()->SetRangeUser(fminMass,fmaxMass); |
a12d80b8 | 1623 | pd->cd(); |
3c0e7d59 | 1624 | hdraw->SetMarkerStyle(20); |
a12d80b8 | 1625 | hdraw->DrawClone("PE"); |
1626 | hdraw->GetFunction("funcbkgFullRange")->DrawClone("same"); | |
1627 | hdraw->GetFunction("funcbkgRecalc")->DrawClone("same"); | |
1628 | hdraw->GetFunction("funcmass")->DrawClone("same"); | |
1629 | ||
d22f0682 | 1630 | if(writeFitInfo > 0){ |
1631 | TPaveText *pinfob=new TPaveText(0.6,0.86,1.,1.,"NDC"); | |
1632 | TPaveText *pinfom=new TPaveText(0.6,0.7,1.,.87,"NDC"); | |
1633 | pinfob->SetBorderSize(0); | |
1634 | pinfob->SetFillStyle(0); | |
1635 | pinfom->SetBorderSize(0); | |
1636 | pinfom->SetFillStyle(0); | |
a12d80b8 | 1637 | TF1* ff=fhistoInvMass->GetFunction("funcmass"); |
d22f0682 | 1638 | |
1639 | for (Int_t i=fNFinalPars-3;i<fNFinalPars;i++){ | |
1640 | pinfom->SetTextColor(kBlue); | |
a12d80b8 | 1641 | TString str=Form("%s = %f #pm %f",ff->GetParName(i),ff->GetParameter(i),ff->GetParError(i)); |
d22f0682 | 1642 | if(!(writeFitInfo==1 && i==fNFinalPars-3)) pinfom->AddText(str); |
a12d80b8 | 1643 | } |
d22f0682 | 1644 | pd->cd(); |
1645 | pinfom->DrawClone(); | |
a60f573d | 1646 | |
a12d80b8 | 1647 | TPaveText *pinfo2=new TPaveText(0.1,0.1,0.6,0.4,"NDC"); |
1648 | pinfo2->SetBorderSize(0); | |
1649 | pinfo2->SetFillStyle(0); | |
1650 | ||
1651 | Double_t signif, signal, bkg, errsignif, errsignal, errbkg; | |
1652 | ||
1653 | Significance(nsigma,signif,errsignif); | |
1654 | Signal(nsigma,signal,errsignal); | |
1655 | Background(nsigma,bkg, errbkg); | |
1656 | /* | |
1657 | Significance(1.828,1.892,signif,errsignif); | |
1658 | Signal(1.828,1.892,signal,errsignal); | |
1659 | Background(1.828,1.892,bkg, errbkg); | |
1660 | */ | |
d22f0682 | 1661 | TString str=Form("Significance (%.0f#sigma) %.1f #pm %.1f ",nsigma,signif,errsignif); |
a12d80b8 | 1662 | pinfo2->AddText(str); |
d22f0682 | 1663 | str=Form("S (%.0f#sigma) %.0f #pm %.0f ",nsigma,signal,errsignal); |
a12d80b8 | 1664 | pinfo2->AddText(str); |
d22f0682 | 1665 | str=Form("B (%.0f#sigma) %.0f #pm %.0f",nsigma,bkg,errbkg); |
a12d80b8 | 1666 | pinfo2->AddText(str); |
1667 | ||
1668 | pd->cd(); | |
a12d80b8 | 1669 | pinfo2->Draw(); |
a60f573d | 1670 | |
d22f0682 | 1671 | if(writeFitInfo > 1){ |
1672 | for (Int_t i=0;i<fNFinalPars-3;i++){ | |
1673 | pinfob->SetTextColor(kRed); | |
9ee5e5c3 | 1674 | str=Form("%s = %f #pm %f",ff->GetParName(i),ff->GetParameter(i),ff->GetParError(i)); |
d22f0682 | 1675 | pinfob->AddText(str); |
1676 | } | |
1677 | pd->cd(); | |
1678 | pinfob->DrawClone(); | |
1679 | } | |
1680 | ||
1681 | ||
3c0e7d59 | 1682 | } |
a12d80b8 | 1683 | return; |
1684 | } | |
1685 | ||
1686 | //_________________________________________________________________________ | |
1687 | ||
d22f0682 | 1688 | void AliHFMassFitter::DrawHere(TVirtualPad* pd,Double_t nsigma,Int_t writeFitInfo) const { |
a12d80b8 | 1689 | //draws histogram together with fit functions with default nice colors in user canvas |
d22f0682 | 1690 | PlotFit(pd,nsigma,writeFitInfo); |
a12d80b8 | 1691 | |
1692 | pd->Draw(); | |
1693 | ||
1694 | } | |
1695 | //_________________________________________________________________________ | |
1696 | void AliHFMassFitter::DrawFit(Double_t nsigma) const{ | |
1697 | ||
1698 | //draws histogram together with fit functions with default nice colors | |
1699 | gStyle->SetOptStat(0); | |
1700 | gStyle->SetCanvasColor(0); | |
1701 | gStyle->SetFrameFillColor(0); | |
1702 | ||
1703 | ||
d22f0682 | 1704 | TCanvas* c=(TCanvas*)GetPad(nsigma,1); |
a12d80b8 | 1705 | c->Draw(); |
1706 | ||
fabf4d8e | 1707 | } |
fabf4d8e | 1708 | |
fabf4d8e | 1709 | |
ad73ca8f | 1710 | //_________________________________________________________________________ |
1711 | ||
1712 | void AliHFMassFitter::PrintParTitles() const{ | |
dc262918 | 1713 | |
1714 | //prints to screen the parameters names | |
1715 | ||
ad73ca8f | 1716 | TF1 *f=fhistoInvMass->GetFunction("funcmass"); |
1717 | if(!f) { | |
1718 | cout<<"Fit function not found"<<endl; | |
1719 | return; | |
1720 | } | |
1721 | ||
1722 | Int_t np=0; | |
1723 | switch (ftypeOfFit4Bkg){ | |
1724 | case 0: //expo | |
1725 | np=2; | |
1726 | break; | |
1727 | case 1: //linear | |
1728 | np=2; | |
1729 | break; | |
1730 | case 2: //pol2 | |
1731 | np=3; | |
1732 | break; | |
1733 | case 3: //no bkg | |
1734 | np=1; | |
1735 | break; | |
1736 | } | |
1737 | ||
1738 | np+=3; //3 parameter for signal | |
1739 | if (ftypeOfFit4Sgn == 1) np+=3; | |
1740 | ||
1741 | cout<<"Parameter Titles \n"; | |
1742 | for(Int_t i=0;i<np;i++){ | |
1743 | cout<<"Par "<<i<<": "<<f->GetParName(i)<<endl; | |
1744 | } | |
1745 | cout<<endl; | |
1746 | ||
1747 | } | |
1748 | ||
56cbeefb | 1749 | //************ significance |
fabf4d8e | 1750 | |
1751 | //_________________________________________________________________________ | |
1752 | ||
1753 | void AliHFMassFitter::Signal(Double_t nOfSigma,Double_t &signal,Double_t &errsignal) const { | |
1754 | // Return signal integral in mean+- n sigma | |
1755 | ||
16856d6e | 1756 | if(fcounter==0) { |
1757 | cout<<"Use MassFitter method before Signal"<<endl; | |
1758 | return; | |
1759 | } | |
56cbeefb | 1760 | |
a12d80b8 | 1761 | Double_t min=fMass-nOfSigma*fSigmaSgn; |
1762 | Double_t max=fMass+nOfSigma*fSigmaSgn; | |
56cbeefb | 1763 | |
a12d80b8 | 1764 | Signal(min,max,signal,errsignal); |
b7d4bc49 | 1765 | |
a12d80b8 | 1766 | // //functions names |
1767 | // TString bkgname= "funcbkgRecalc"; | |
1768 | // TString bkg1name="funcbkg1Recalc"; | |
1769 | // TString massname="funcmass"; | |
16856d6e | 1770 | |
b7d4bc49 | 1771 | |
a12d80b8 | 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 | // } | |
b7d4bc49 | 1778 | |
a12d80b8 | 1779 | // if(ftypeOfFit4Sgn == 0) funcbkg=fhistoInvMass->GetFunction(bkgname.Data()); |
1780 | // else funcbkg=fhistoInvMass->GetFunction(bkg1name.Data()); | |
b7d4bc49 | 1781 | |
a12d80b8 | 1782 | // if(!funcbkg){ |
1783 | // cout<<"AliHFMassFitter::Signal() ERROR -> Bkg function not found!"<<endl; | |
1784 | // return; | |
1785 | // } | |
fabf4d8e | 1786 | |
a12d80b8 | 1787 | // Int_t np=-99; |
1788 | // switch (ftypeOfFit4Bkg){ | |
1789 | // case 0: //expo | |
1790 | // np=2; | |
1791 | // break; | |
1792 | // case 1: //linear | |
1793 | // np=2; | |
1794 | // break; | |
1795 | // case 2: //pol2 | |
1796 | // np=3; | |
1797 | // break; | |
1798 | // case 3: //no bkg | |
1799 | // np=1; | |
1800 | // break; | |
1801 | // } | |
16856d6e | 1802 | |
a12d80b8 | 1803 | // Float_t intS,intSerr; |
16856d6e | 1804 | |
a12d80b8 | 1805 | // //relative error evaluation |
1806 | ||
1807 | // intS=funcmass->GetParameter(np); | |
1808 | // intSerr=funcmass->GetParError(np); | |
1809 | ||
1810 | // cout<<"Sgn relative error evaluation from fit: "<<intSerr/intS<<endl; | |
1811 | // Double_t background,errbackground; | |
1812 | // Background(nOfSigma,background,errbackground); | |
1813 | ||
1814 | // //signal +/- error in nsigma | |
1815 | // Double_t min=fMass-nOfSigma*fSigmaSgn; | |
1816 | // Double_t max=fMass+nOfSigma*fSigmaSgn; | |
1817 | ||
1818 | // Double_t mass=funcmass->Integral(min, max)/fhistoInvMass->GetBinWidth(4); | |
1819 | // signal=mass - background; | |
1820 | // errsignal=TMath::Sqrt((intSerr/intS*mass)*(intSerr/intS*mass)/*assume relative error is the same as for total integral*/ + errbackground*errbackground); | |
fabf4d8e | 1821 | return; |
a12d80b8 | 1822 | |
fabf4d8e | 1823 | } |
16856d6e | 1824 | |
fabf4d8e | 1825 | //_________________________________________________________________________ |
1826 | ||
16856d6e | 1827 | void AliHFMassFitter::Signal(Double_t min, Double_t max, Double_t &signal,Double_t &errsignal) const { |
1828 | ||
1829 | // Return signal integral in a range | |
1830 | ||
1831 | if(fcounter==0) { | |
1832 | cout<<"Use MassFitter method before Signal"<<endl; | |
1833 | return; | |
1834 | } | |
1835 | ||
56cbeefb | 1836 | //functions names |
16856d6e | 1837 | TString bkgname="funcbkgRecalc"; |
1838 | TString bkg1name="funcbkg1Recalc"; | |
56cbeefb | 1839 | TString massname="funcmass"; |
fabf4d8e | 1840 | |
b7d4bc49 | 1841 | |
1842 | TF1 *funcbkg=0; | |
56cbeefb | 1843 | TF1 *funcmass=fhistoInvMass->GetFunction(massname.Data()); |
16856d6e | 1844 | if(!funcmass){ |
1845 | cout<<"AliHFMassFitter::Signal() ERROR -> Mass distr function not found!"<<endl; | |
1846 | return; | |
1847 | } | |
1848 | ||
b7d4bc49 | 1849 | if(ftypeOfFit4Sgn == 0) funcbkg=fhistoInvMass->GetFunction(bkgname.Data()); |
1850 | else funcbkg=fhistoInvMass->GetFunction(bkg1name.Data()); | |
1851 | ||
16856d6e | 1852 | if(!funcbkg){ |
1853 | cout<<"AliHFMassFitter::Signal() ERROR -> Bkg function not found!"<<endl; | |
1854 | return; | |
1855 | } | |
1856 | ||
1857 | Int_t np=-99; | |
1858 | switch (ftypeOfFit4Bkg){ | |
1859 | case 0: //expo | |
1860 | np=2; | |
1861 | break; | |
1862 | case 1: //linear | |
1863 | np=2; | |
1864 | break; | |
1865 | case 2: //pol2 | |
1866 | np=3; | |
1867 | break; | |
1868 | case 3: //no bkg | |
1869 | np=1; | |
1870 | break; | |
1871 | } | |
b7d4bc49 | 1872 | |
16856d6e | 1873 | Double_t intS,intSerr; |
b7d4bc49 | 1874 | |
16856d6e | 1875 | //relative error evaluation |
1876 | intS=funcmass->GetParameter(np); | |
1877 | intSerr=funcmass->GetParError(np); | |
fabf4d8e | 1878 | |
16856d6e | 1879 | cout<<"Sgn relative error evaluation from fit: "<<intSerr/intS<<endl; |
1880 | Double_t background,errbackground; | |
1881 | Background(min,max,background,errbackground); | |
b7d4bc49 | 1882 | |
16856d6e | 1883 | //signal +/- error in the range |
1884 | ||
1885 | Double_t mass=funcmass->Integral(min, max)/fhistoInvMass->GetBinWidth(4); | |
1886 | signal=mass - background; | |
a60f573d | 1887 | errsignal=(intSerr/intS)*signal;/*assume relative error is the same as for total integral*/ |
16856d6e | 1888 | |
1889 | } | |
1890 | ||
1891 | //_________________________________________________________________________ | |
1892 | ||
1893 | void AliHFMassFitter::Background(Double_t nOfSigma,Double_t &background,Double_t &errbackground) const { | |
1894 | // Return background integral in mean+- n sigma | |
1895 | ||
1896 | if(fcounter==0) { | |
1897 | cout<<"Use MassFitter method before Background"<<endl; | |
1898 | return; | |
b7d4bc49 | 1899 | } |
a12d80b8 | 1900 | Double_t min=fMass-nOfSigma*fSigmaSgn; |
1901 | Double_t max=fMass+nOfSigma*fSigmaSgn; | |
b7d4bc49 | 1902 | |
a12d80b8 | 1903 | Background(min,max,background,errbackground); |
16856d6e | 1904 | |
a12d80b8 | 1905 | // //functions names |
1906 | // TString bkgname="funcbkgRecalc"; | |
1907 | // TString bkg1name="funcbkg1Recalc"; | |
16856d6e | 1908 | |
a12d80b8 | 1909 | // TF1 *funcbkg=0; |
1910 | // if(ftypeOfFit4Sgn == 0) funcbkg=fhistoInvMass->GetFunction(bkgname.Data()); | |
1911 | // else funcbkg=fhistoInvMass->GetFunction(bkg1name.Data()); | |
1912 | // if(!funcbkg){ | |
1913 | // cout<<"AliHFMassFitter::Background() ERROR -> Bkg function not found!"<<endl; | |
1914 | // return; | |
1915 | // } | |
16856d6e | 1916 | |
a12d80b8 | 1917 | // Float_t intB,intBerr;//, intT,intTerr,intS,intSerr; |
fabf4d8e | 1918 | |
a12d80b8 | 1919 | // //relative error evaluation: from final parameters of the fit |
1920 | // if(ftypeOfFit4Bkg==3 && ftypeOfFit4Sgn == 0) cout<<"No background fit: Bkg relative error evaluation put to zero"<<endl; | |
1921 | // else{ | |
1922 | ||
1923 | // intB=funcbkg->GetParameter(0); | |
1924 | // intBerr=funcbkg->GetParError(0); | |
1925 | ||
1926 | // cout<<"Bkg relative error evaluation: from final parameters of the fit: "<<intBerr/intB<<endl; | |
1927 | // } | |
1928 | ||
1929 | // Double_t min=fMass-nOfSigma*fSigmaSgn; | |
1930 | // Double_t max=fMass+nOfSigma*fSigmaSgn; | |
b7d4bc49 | 1931 | |
a12d80b8 | 1932 | // //relative error evaluation: from histo |
b7d4bc49 | 1933 | |
a12d80b8 | 1934 | // intB=fhistoInvMass->Integral(1,fSideBandl)+fhistoInvMass->Integral(fSideBandr,fNbin); |
1935 | // Double_t sum2=0; | |
56cbeefb | 1936 | |
a12d80b8 | 1937 | // for(Int_t i=1;i<=fSideBandl;i++){ |
1938 | // sum2+=fhistoInvMass->GetBinError(i)*fhistoInvMass->GetBinError(i); | |
1939 | // } | |
1940 | // for(Int_t i=fSideBandr;i<=fNbin;i++){ | |
1941 | // sum2+=fhistoInvMass->GetBinError(i)*fhistoInvMass->GetBinError(i); | |
1942 | // } | |
1943 | ||
1944 | // intBerr=TMath::Sqrt(sum2); | |
1945 | // cout<<"Bkg relative error evaluation: from histo: "<<intBerr/intB<<endl; | |
b7d4bc49 | 1946 | |
a12d80b8 | 1947 | // cout<<"Last estimation of bkg error is used"<<endl; |
b7d4bc49 | 1948 | |
a12d80b8 | 1949 | // //backround +/- error in nsigma |
1950 | // if (ftypeOfFit4Bkg == 3 && ftypeOfFit4Sgn == 0) { | |
1951 | // background = 0; | |
1952 | // errbackground = 0; | |
1953 | // } | |
1954 | // else{ | |
1955 | // background=funcbkg->Integral(min,max)/(Double_t)fhistoInvMass->GetBinWidth(2); | |
1956 | // errbackground=intBerr/intB*background; // assume relative error is the same as for total integral | |
1957 | // //cout<<"integral = "<<funcbkg->Integral(min, max)<<"\tbinW = "<<fhistoInvMass->GetBinWidth(2)<<endl; | |
1958 | // } | |
16856d6e | 1959 | return; |
1960 | ||
1961 | } | |
1962 | //___________________________________________________________________________ | |
1963 | ||
1964 | void AliHFMassFitter::Background(Double_t min, Double_t max, Double_t &background,Double_t &errbackground) const { | |
1965 | // Return background integral in a range | |
1966 | ||
1967 | if(fcounter==0) { | |
1968 | cout<<"Use MassFitter method before Background"<<endl; | |
1969 | return; | |
1970 | } | |
1971 | ||
1972 | //functions names | |
1973 | TString bkgname="funcbkgRecalc"; | |
1974 | TString bkg1name="funcbkg1Recalc"; | |
1975 | ||
1976 | TF1 *funcbkg=0; | |
1977 | if(ftypeOfFit4Sgn == 0) funcbkg=fhistoInvMass->GetFunction(bkgname.Data()); | |
1978 | else funcbkg=fhistoInvMass->GetFunction(bkg1name.Data()); | |
1979 | if(!funcbkg){ | |
1980 | cout<<"AliHFMassFitter::Background() ERROR -> Bkg function not found!"<<endl; | |
1981 | return; | |
1982 | } | |
1983 | ||
1984 | ||
1985 | Double_t intB,intBerr; | |
1986 | ||
1987 | //relative error evaluation: from final parameters of the fit | |
1988 | if(ftypeOfFit4Bkg==3 && ftypeOfFit4Sgn == 0) cout<<"No background fit: Bkg relative error evaluation put to zero"<<endl; | |
1989 | else{ | |
1990 | intB=funcbkg->GetParameter(0); | |
1991 | intBerr=funcbkg->GetParError(0); | |
1992 | cout<<"Bkg relative error evaluation: from final parameters of the fit: "<<intBerr/intB<<endl; | |
1993 | } | |
1994 | ||
1995 | //relative error evaluation: from histo | |
1996 | ||
1997 | intB=fhistoInvMass->Integral(1,fSideBandl)+fhistoInvMass->Integral(fSideBandr,fNbin); | |
1998 | Double_t sum2=0; | |
1999 | for(Int_t i=1;i<=fSideBandl;i++){ | |
2000 | sum2+=fhistoInvMass->GetBinError(i)*fhistoInvMass->GetBinError(i); | |
2001 | } | |
2002 | for(Int_t i=fSideBandr;i<=fNbin;i++){ | |
2003 | sum2+=fhistoInvMass->GetBinError(i)*fhistoInvMass->GetBinError(i); | |
2004 | } | |
2005 | ||
2006 | intBerr=TMath::Sqrt(sum2); | |
2007 | cout<<"Bkg relative error evaluation: from histo: "<<intBerr/intB<<endl; | |
2008 | ||
2009 | cout<<"Last estimation of bkg error is used"<<endl; | |
2010 | ||
2011 | //backround +/- error in the range | |
2012 | if (ftypeOfFit4Bkg == 3 && ftypeOfFit4Sgn == 0) { | |
2013 | background = 0; | |
2014 | errbackground = 0; | |
2015 | } | |
2016 | else{ | |
2017 | background=funcbkg->Integral(min,max)/(Double_t)fhistoInvMass->GetBinWidth(2); | |
2018 | errbackground=intBerr/intB*background; // assume relative error is the same as for total integral | |
2019 | //cout<<"integral = "<<funcbkg->Integral(min, max)<<"\tbinW = "<<fhistoInvMass->GetBinWidth(2)<<endl; | |
34c79b83 | 2020 | } |
fabf4d8e | 2021 | return; |
2022 | ||
2023 | } | |
2024 | ||
16856d6e | 2025 | |
fabf4d8e | 2026 | //__________________________________________________________________________ |
2027 | ||
b7d4bc49 | 2028 | void AliHFMassFitter::Significance(Double_t nOfSigma,Double_t &significance,Double_t &errsignificance) const { |
fabf4d8e | 2029 | // Return significance in mean+- n sigma |
5a8a84f8 | 2030 | |
2031 | Double_t min=fMass-nOfSigma*fSigmaSgn; | |
2032 | Double_t max=fMass+nOfSigma*fSigmaSgn; | |
2033 | Significance(min, max, significance, errsignificance); | |
2034 | /* | |
fabf4d8e | 2035 | Double_t signal,errsignal,background,errbackground; |
2036 | Signal(nOfSigma,signal,errsignal); | |
2037 | Background(nOfSigma,background,errbackground); | |
2038 | ||
2039 | significance = signal/TMath::Sqrt(signal+background); | |
b7d4bc49 | 2040 | |
fabf4d8e | 2041 | errsignificance = TMath::Sqrt(significance*significance/(signal+background)/(signal+background)*(1/4.*errsignal*errsignal+errbackground*errbackground)+significance*significance/signal/signal*errsignal*errsignal); |
5a8a84f8 | 2042 | */ |
fabf4d8e | 2043 | return; |
2044 | } | |
2045 | ||
2046 | //__________________________________________________________________________ | |
74179930 | 2047 | |
16856d6e | 2048 | void AliHFMassFitter::Significance(Double_t min, Double_t max, Double_t &significance,Double_t &errsignificance) const { |
2049 | // Return significance integral in a range | |
2050 | ||
2051 | Double_t signal,errsignal,background,errbackground; | |
2052 | Signal(min, max,signal,errsignal); | |
2053 | Background(min, max,background,errbackground); | |
2054 | ||
5a8a84f8 | 2055 | if (signal+background <= 0.){ |
2056 | cout<<"Cannot calculate significance because of div by 0!"<<endl; | |
2057 | significance=-1; | |
2058 | errsignificance=0; | |
2059 | } | |
2060 | ||
16856d6e | 2061 | significance = signal/TMath::Sqrt(signal+background); |
a12d80b8 | 2062 | |
16856d6e | 2063 | errsignificance = TMath::Sqrt(significance*significance/(signal+background)/(signal+background)*(1/4.*errsignal*errsignal+errbackground*errbackground)+significance*significance/signal/signal*errsignal*errsignal); |
2064 | ||
2065 | return; | |
2066 | } | |
ad73ca8f | 2067 | |
2068 |