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fixing compilation problem
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5253c153 1/**************************************************************************
2* Copyright(c) 1998-1999, 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// $Id$
17
18#include "AliMUONGain.h"
19#include "AliMUONPedestal.h"
20#include "AliMUONErrorCounter.h"
21#include "AliMUON2DMap.h"
22#include "AliMUONVCalibParam.h"
23#include "AliMUONVStore.h"
24#include "AliMpIntPair.h"
25
26#include <TString.h>
27#include <THashList.h>
28#include <TTimeStamp.h>
29#include <TTree.h>
30#include <TFile.h>
31#include <TF1.h>
32#include <TGraphErrors.h>
33#include <TMath.h>
34#include <Riostream.h>
35
36#include <sstream>
37
38#define NFITPARAMS 4
39
40//-----------------------------------------------------------------------------
41/// \class AliMUONGain
42///
43/// Implementation of calibration computing
44///
45/// add
46///
47///
48/// \author Alberto Baldisseri, JL Charvet
49//-----------------------------------------------------------------------------
50
51
52
53
54// functions
55
56
57//______________________________________________________________________________
58Double_t funcLin (const Double_t *x, const Double_t *par)
59{
60 /// Linear function
61 return par[0] + par[1]*x[0];
62}
63
64//______________________________________________________________________________
65Double_t funcParabolic (const Double_t *x, const Double_t *par)
66{
67 /// Parabolic function
68 return par[0]*x[0]*x[0];
69}
70
71//______________________________________________________________________________
72Double_t funcCalib (const Double_t *x, const Double_t *par)
73{
74 /// Calibration function
75 Double_t xLim= par[3];
76
77 if(x[0] <= xLim) return par[0] + par[1]*x[0];
78
79 Double_t yLim = par[0]+ par[1]*xLim;
80 return yLim + par[1]*(x[0] - xLim) + par[2]*(x[0] - xLim)*(x[0] - xLim);
81}
82
83
84/// \cond CLASSIMP
85ClassImp(AliMUONGain)
86/// \endcond
87
88//______________________________________________________________________________
89AliMUONGain::AliMUONGain()
90: AliMUONPedestal(),
91fInjCharge(0),
92fnInit(1),
93fnEntries(11),
94fnbpf1(6),
95fPrintLevel(0),
96fPlotLevel(0)
97{
98/// Default constructor
99
521ca393 100 sprintf(fRootDataFileName," "); //Gain
5253c153 101}
102// AliMUONPedestal& operator=(const AliMUONPedestal& other); Copy ctor
103
104//______________________________________________________________________________
105AliMUONGain::~AliMUONGain()
106{
107/// Destructor
108}
109
110//______________________________________________________________________________
111TString AliMUONGain::WriteDummyHeader(void)
112{
113///
114
115 ostringstream stream;
116 stream<<"//DUMMY FILE (to prevent Shuttle failure)"<< endl;
117 stream<<"//================================================" << endl;
118 stream<<"// MUONTRKda: Calibration run " << endl;
119 stream<<"//================================================" << endl;
120 stream<<"// * Run : " << fRunNumber << endl;
121 stream<<"// * Date : " << fDate->AsString("l") <<endl;
122 stream<<"// * DAC : " << fInjCharge << endl;
123 stream<<"//-------------------------------------------------" << endl;
124
125 return TString(stream.str().c_str());
126}
127
128//______________________________________________________________________________
129void AliMUONGain::MakePedStoreForGain(TString shuttleFile)
130{
131///
132
133 ofstream fileout;
134 TString tempstring;
135 Char_t flatFile[256]="";
136 TString outputFile;
137
138 // Store pedestal map in root file
139 TTree* tree = 0x0;
140
141 // write dummy ascii file -> Shuttle
142 if(fIndex<fnEntries)
143 {
144 // fileout.open(shuttleFile.Data());
145 // tempstring = WriteDummyHeader();
146 // fileout << tempstring;
147 FILE *pfilew=0;
148 pfilew = fopen (shuttleFile,"w");
149
150 fprintf(pfilew,"//DUMMY FILE (to prevent Shuttle failure)\n");
151 fprintf(pfilew,"//================================================\n");
152 fprintf(pfilew,"// MUONTRKda: Calibration run \n");
153 fprintf(pfilew,"//=================================================\n");
154 fprintf(pfilew,"// * Run : %d \n",fRunNumber);
155 fprintf(pfilew,"// * Date : %s \n",fDate->AsString("l"));
156 fprintf(pfilew,"// * DAC : %d \n",fInjCharge);
157 fprintf(pfilew,"//-------------------------------------------------\n");
158 fclose(pfilew);
159 }
160
161
162
dbbb2c64 163 Finalize();
164 MakeControlHistos();
5253c153 165 if(fPrintLevel>0)
166 {
167 // compute and store mean DAC values (like pedestals)
da329aff 168 sprintf(flatFile,"%s.ped",fprefixDA);
5253c153 169 outputFile=flatFile;
170 cout << "\n" << fprefixDA << " : Flat file generated : " << flatFile << "\n";
dbbb2c64 171 if (!outputFile.IsNull())
172 {
173 ofstream out(outputFile.Data());
174 MakeASCIIoutput(out);
175 out.close();
176 }
5253c153 177 }
5253c153 178
179 TString mode("UPDATE");
180
181 if (fIndex==1) {
182 mode = "RECREATE";
183 }
184 TFile* histoFile = new TFile(fRootDataFileName, mode.Data(), "MUON Tracking Gains");
185
186 // second argument should be the injected charge, taken from config crocus file
187 // put also info about run number could be usefull
188 AliMpIntPair* pair = new AliMpIntPair(fRunNumber,fInjCharge );
189
190 if (mode.CompareTo("UPDATE") == 0) {
191 tree = (TTree*)histoFile->Get("t");
192 tree->SetBranchAddress("run",&pair);
193 tree->SetBranchAddress("ped",&fPedestalStore);
194
195 } else {
196 tree = new TTree("t","Pedestal tree");
197 tree->Branch("run", "AliMpIntPair",&pair);
198 tree->Branch("ped", "AliMUON2DMap",&fPedestalStore);
199 tree->SetBranchAddress("run",&pair);
200 tree->SetBranchAddress("ped",&fPedestalStore);
201
202 }
203
204 tree->Fill();
205 tree->Write("t", TObject::kOverwrite); // overwrite the tree
206 histoFile->Close();
207
208 delete pair;
209}
210
211//______________________________________________________________________________
5431405e 212TString AliMUONGain::WriteGainHeader(Int_t nInit, Int_t nEntries, Int_t nbpf2, Int_t *numrun, Double_t *injCharge)
5253c153 213{
1b15b395 214/// Header of the calibration output file
5253c153 215
216 ostringstream stream;
217
218
1b15b395 219 stream<<"//=======================================================" << endl;
220 stream<<"// Calibration file calculated by " << fprefixDA <<endl;
221 stream<<"//=======================================================" << endl;
5253c153 222 stream<<"// * Run : " << fRunNumber << endl;
223 stream<<"// * Date : " << fDate->AsString("l") <<endl;
224 stream<<"// * Statictics : " << fNEvents << endl;
1b15b395 225 if(fConfig)
226 stream<<"// * # of MANUS : " << fNManu_config << " read in the Det. config. " << endl;
227 stream<<"// * # of MANUS : " << fNManu << " read in raw data " << endl;
228 stream<<"// * # of MANUS : " << fNChannel/64 << " written in calibration file " << endl;
5253c153 229 stream<<"// * # of channels : " << fNChannel << endl;
1b15b395 230 stream<<"//-------------------------------------------------------" << endl;
5253c153 231
5431405e 232 if(nInit==0)
233 stream<<"// "<< nEntries <<" DAC values fit: "<< fnbpf1 << " pts (1st order) " << nbpf2 << " pts (2nd order)" << endl;
234 if(nInit==1)
235 stream<<"// "<< nEntries <<" DAC values fit: "<< fnbpf1 << " pts (1st order) " << nbpf2 << " pts (2nd order) DAC=0 excluded" << endl;
5253c153 236
237 stream<<"// RUN DAC " << endl;
238 stream<<"//-----------------" << endl;
5431405e 239 for (Int_t i = 0; i < nEntries; ++i) {
240 stream<<Form("// %d %5.0f \n",numrun[i],injCharge[i]);
5253c153 241 }
242 stream<<"//=======================================" << endl;
243 stream<<"// BP MANU CH. a1 a2 thres. q " << endl;
244 stream<<"//=======================================" << endl;
245
246 return TString(stream.str().c_str());
247}
248
249//______________________________________________________________________________
250TString AliMUONGain::WriteGainData(Int_t BP, Int_t Manu, Int_t ch, Double_t p1, Double_t p2, Int_t threshold, Int_t q)
251{
1b15b395 252/// Write calibration parameters per channel
5253c153 253
254 ostringstream stream("");
5431405e 255 stream << Form("%4i %5i %2i %7.4f %10.3e %4i %2x\n",BP,Manu,ch,p1,p2,threshold,q);
5253c153 256 return TString(stream.str().c_str());
257
258}
259
da329aff 260//_______________________________________________________________________________
5253c153 261void AliMUONGain::MakeGainStore(TString shuttleFile)
262{
263 /// Store gains in ASCII files
264 ofstream fileout;
265 ofstream filcouc;
266 TString tempstring;
267 Char_t filename[256];
268
269 Double_t goodA1Min = 0.5;
270 Double_t goodA1Max = 2.;
271 // Double_t goodA1Min = 0.7;
272 // Double_t goodA1Max = 1.7;
273 Double_t goodA2Min = -0.5E-03;
274 Double_t goodA2Max = 1.E-03;
275 // Table for uncalibrated buspatches and manus
276 THashList* uncalBuspatchManuTable = new THashList(1000,2);
277
278 Int_t numrun[11];
279
280 // open file MUONTRKda_gain_data.root
281 // read again the pedestal for the calibration runs (11 runs)
282 // need the injection charge from config file (to be done)
283 // For each channel make a TGraphErrors (mean, sigma) vs injected charge
284 // Fit with a polynomial fct
285 // store the result in a flat file.
286
1b15b395 287 if(fIndex==0)cout << " Root data file = " << fRootDataFileName << endl;
5253c153 288 TFile* histoFile = new TFile(fRootDataFileName);
289
290 AliMUON2DMap* map[11];
291 AliMUONVCalibParam* ped[11];
292 AliMpIntPair* run[11];
293
294 //read back from root file
295 TTree* tree = (TTree*)histoFile->Get("t");
296 Int_t nEntries = tree->GetEntries();
297
298 Int_t nbpf2 = nEntries - (fnInit + fnbpf1) + 1; // nb pts used for 2nd order fit
299
300 // read back info
301 for (Int_t i = 0; i < nEntries; ++i) {
302 map[i] = 0x0;
303 run[i] = 0x0;
304 tree->SetBranchAddress("ped",&map[i]);
305 tree->SetBranchAddress("run",&run[i]);
306 tree->GetEvent(i);
307 // std::cout << map[i] << " " << run[i] << std::endl;
308 }
309 // RunNumber extracted from Root data fil
310 if(fIndex==0)fRunNumber=(UInt_t)run[nEntries-1]->GetFirst();
311 // sscanf(getenv("DATE_RUN_NUMBER"),"%d",&gAliRunNumber);
312
313 Double_t pedMean[11];
314 Double_t pedSigma[11];
315 for ( Int_t i=0 ; i<11 ; i++) {pedMean[i]=0.;pedSigma[i]=1.;};
316 Double_t injCharge[11];
317 Double_t injChargeErr[11];
318 for ( Int_t i=0 ; i<11 ; i++) {injCharge[i]=0.;injChargeErr[i]=1.;};
319
320 // some print
321 cout<<"\n ******** MUONTRKda for Gain computing (Last Run = " << fRunNumber << ") ********\n" << endl;
322 cout<<" * Date : " << fDate->AsString("l") << "\n" << endl;
323 cout << " Entries = " << nEntries << " DAC values \n" << endl;
324 for (Int_t i = 0; i < nEntries; ++i) {
325 cout<< " Run = " << run[i]->GetFirst() << " DAC = " << run[i]->GetSecond() << endl;
326 numrun[i] = run[i]->GetFirst();
327 injCharge[i] = run[i]->GetSecond();
328 injChargeErr[i] = 0.01*injCharge[i];
329 if(injChargeErr[i] <= 1.) injChargeErr[i]=1.;
330 }
331 cout << "" << endl;
332
333 // print out in .log file
334
335 (*fFilcout)<<"\n\n//=================================================" << endl;
336 (*fFilcout)<<"// MUONTRKda: Gain Computing Run = " << fRunNumber << endl;
337 (*fFilcout)<<"// RootDataFile = "<< fRootDataFileName << endl;
338 (*fFilcout)<<"//=================================================" << endl;
339 (*fFilcout)<<"//* Date : " << fDate->AsString("l") << "\n" << endl;
340
341
342
343 // why 2 files ? (Ch. F.) => second file contains detailed results
344 FILE *pfilen = 0;
345 if(fPrintLevel>1)
346 {
da329aff 347 sprintf(filename,"%s.param",fprefixDA);
5253c153 348 cout << " Second fit parameter file = " << filename << "\n";
349 pfilen = fopen (filename,"w");
350
351 fprintf(pfilen,"//===================================================================\n");
352 fprintf(pfilen,"// BP MANU CH. par[0] [1] [2] [3] xlim P(chi2) p1 P(chi2)2 p2\n");
353 fprintf(pfilen,"//===================================================================\n");
354 fprintf(pfilen,"// * Run : %d \n",fRunNumber);
355 fprintf(pfilen,"//===================================================================\n");
356 }
357
5253c153 358
dbbb2c64 359 // file outputs for gain
5253c153 360
5431405e 361 ofstream pfilew;
362 pfilew.open(shuttleFile.Data());
dbbb2c64 363 // Write Header Data of the .par file
5431405e 364 pfilew << WriteGainHeader(fnInit,nEntries,nbpf2,numrun,injCharge);
5253c153 365
366 // print mean and sigma values in file
367 FILE *pfilep = 0;
368 if(fPrintLevel>1)
369 {
da329aff 370 sprintf(filename,"%s.peak",fprefixDA);
5253c153 371 cout << " File containing Peak mean values = " << filename << "\n";
372 pfilep = fopen (filename,"w");
373
374 fprintf(pfilep,"//==============================================================================================================================\n");
375 fprintf(pfilep,"// * Run : %d \n",fRunNumber);
376 fprintf(pfilep,"//==============================================================================================================================\n");
377 fprintf(pfilep,"// BP MANU CH. Ped. <0> <1> <2> <3> <4> <5> <6> <7> <8> <9> <10> \n");
378 fprintf(pfilep,"//==============================================================================================================================\n");
379 fprintf(pfilep,"// DAC= %9.1f%9.1f%9.1f%9.1f%9.1f%9.1f%9.1f%9.1f%9.1f%9.1f%9.1f fC\n",injCharge[0],injCharge[1],injCharge[2],injCharge[3],injCharge[4],injCharge[5],injCharge[6],injCharge[7],injCharge[8],injCharge[9],injCharge[10]);
380 fprintf(pfilep,"// %9.1f%9.1f%9.1f%9.1f%9.1f%9.1f%9.1f%9.1f%9.1f%9.1f%9.1f\n",injChargeErr[0],injChargeErr[1],injChargeErr[2],injChargeErr[3],injChargeErr[4],injChargeErr[5],injChargeErr[6],injChargeErr[7],injChargeErr[8],injChargeErr[9],injChargeErr[10]);
381 fprintf(pfilep,"//==============================================================================================================================\n");
382 }
383
384 Double_t chi2 = 0.;
385 Double_t chi2P2 = 0.;
386 Double_t prChi2 = 0;
387 Double_t prChi2P2 =0;
388 Double_t a0=0.,a1=1.,a2=0.;
389 Int_t busPatchId ;
390 Int_t manuId ;
391 Int_t channelId ;
392 Int_t threshold = 0;
393 Int_t q = 0;
394 Int_t p1 =0;
395 Int_t p2 =0;
396 Double_t gain=0;
397 Double_t capa=0.2; // internal capacitor (pF)
398
399 // plot out
400
401 TFile* gainFile = 0x0;
402 TTree* tg = 0x0;
403 if(fPlotLevel>0)
404 {
da329aff 405 sprintf(fHistoFileName,"%s.root",fprefixDA);
5253c153 406 gainFile = new TFile(fHistoFileName,"RECREATE","MUON Tracking gains");
407 tg = new TTree("tg","TTree avec class Manu_DiMu");
408
409 tg->Branch("bp",&busPatchId, "busPatchId/I");
410 tg->Branch("manu",&manuId, "manuId/I");
411 tg->Branch("channel",&channelId, "channelId/I");
412
413 tg->Branch("a0",&a0, "a0/D");
414 tg->Branch("a1",&a1, "a1/D");
415 tg->Branch("a2",&a2, "a2/D");
416 tg->Branch("Pchi2",&prChi2, "prChi2/D");
417 tg->Branch("Pchi2_2",&prChi2P2, "prChi2P2/D");
418 tg->Branch("Threshold",&threshold, "threshold/I");
419 tg->Branch("q",&q, "q/I");
420 tg->Branch("p1",&p1, "p1/I");
421 tg->Branch("p2",&p2, "p2/I");
422 tg->Branch("gain",&gain, "gain/D");
423 }
424
425 char graphName[256];
426
427 // iterates over the first pedestal run
428 TIter next(map[0]->CreateIterator());
429 AliMUONVCalibParam* p;
430
431 Int_t nmanu = 0;
432 Int_t nGoodChannel = 0;
433 Int_t nBadChannel = 0;
434 Int_t noFitChannel = 0;
435 Int_t nplot=0;
436 Double_t sumProbChi2 = 0.;
437 Double_t sumA1 = 0.;
438 Double_t sumProbChi2P2 = 0.;
439 Double_t sumA2 = 0.;
440
441 Double_t x[11], xErr[11], y[11], yErr[11];
442 Double_t xp[11], xpErr[11], yp[11], ypErr[11];
443
444 Int_t uncalcountertotal=0 ;
445
446 while ( ( p = dynamic_cast<AliMUONVCalibParam*>(next() ) ) )
447 {
448 ped[0] = p;
449
450 busPatchId = p->ID0();
451 manuId = p->ID1();
452
453 // read back pedestal from the other runs for the given (bupatch, manu)
454 for (Int_t i = 1; i < nEntries; ++i) {
455 ped[i] = static_cast<AliMUONVCalibParam*>(map[i]->FindObject(busPatchId, manuId));
456 }
457
458 // compute for each channel the gain parameters
459 for ( channelId = 0; channelId < ped[0]->Size() ; ++channelId )
460 {
461
462 Int_t n = 0;
463 for (Int_t i = 0; i < nEntries; ++i) {
464
465 if (!ped[i]) continue; //shouldn't happen.
466 pedMean[i] = ped[i]->ValueAsDouble(channelId, 0);
467 pedSigma[i] = ped[i]->ValueAsDouble(channelId, 1);
468
469 if (pedMean[i] < 0) continue; // not connected
470
471 if (pedSigma[i] <= 0) pedSigma[i] = 1.; // should not happen.
472 n++;
473 }
474
475
476 // print_peak_mean_values
477 if(fPrintLevel>1)
478 {
479
480 fprintf(pfilep,"%4i%5i%5i%10.3f",busPatchId,manuId,channelId,0.);
481 fprintf(pfilep,"%9.1f%9.1f%9.1f%9.1f%9.1f%9.1f%9.1f%9.1f%9.1f%9.1f%9.1f \n",pedMean[0],pedMean[1],pedMean[2],pedMean[3],pedMean[4],pedMean[5],pedMean[6],pedMean[7],pedMean[8],pedMean[9],pedMean[10]);
482 fprintf(pfilep," sig= %9.3f%9.3f%9.3f%9.3f%9.3f%9.3f%9.3f%9.3f%9.3f%9.3f%9.3f \n",pedSigma[0],pedSigma[1],pedSigma[2],pedSigma[3],pedSigma[4],pedSigma[5],pedSigma[6],pedSigma[7],pedSigma[8],pedSigma[9],pedSigma[10]);
483 }
484
485 // makegain
486
487
488 // Fit Method: Linear fit over gAlinbpf1 points + parabolic fit over nbpf2 points)
489 // nInit=1 : 1st pt DAC=0 excluded
490
491 // 1. - linear fit over gAlinbpf1 points
492
493 Double_t par[4] = {0.,0.5,0.,kADCMax};
494 Int_t nbs = nEntries - fnInit;
495 if(nbs < fnbpf1)fnbpf1=nbs;
496
497 Int_t fitproceed=1;
498 for (Int_t j = 0; j < nbs; ++j)
499 {
500 Int_t k = j + fnInit;
501 x[j] = pedMean[k];
1b15b395 502 if(x[j]<=0. || x[j]== kADCMax)fitproceed=0;
5253c153 503 xErr[j] = pedSigma[k];
504 y[j] = injCharge[k];
505 yErr[j] = injChargeErr[k];
506
507 }
508
509 TGraphErrors *graphErr;
510 if(!fitproceed) { p1=0; p2=0; noFitChannel++;}
511
512 if(fitproceed)
513 {
514
515 TF1 *f1 = new TF1("f1",funcLin,0.,kADCMax,2);
516 graphErr = new TGraphErrors(fnbpf1, x, y, xErr, yErr);
517
518 f1->SetParameters(0,0);
519
520 graphErr->Fit("f1","RQ");
521
522 chi2 = f1->GetChisquare();
523 f1->GetParameters(par);
524
525 delete graphErr;
526 graphErr=0;
527 delete f1;
528
529 prChi2 = TMath::Prob(chi2, fnbpf1 - 2);
530
531 Double_t xLim = pedMean[fnInit + fnbpf1 - 1];
532 Double_t yLim = par[0]+par[1] * xLim;
533
534 a0 = par[0];
535 a1 = par[1];
536
537 // 2. - Translation : new origin (xLim, yLim) + parabolic fit over nbf2 points
538
539 if(nbpf2 > 1)
540 {
541 for (Int_t j = 0; j < nbpf2; j++)
542 {
543 Int_t k = j + (fnInit + fnbpf1) - 1;
544 xp[j] = pedMean[k] - xLim;
545 xpErr[j] = pedSigma[k];
546
547 yp[j] = injCharge[k] - yLim - par[1]*xp[j];
548 ypErr[j] = injChargeErr[k];
549 }
550
551 TF1 *f2 = new TF1("f2",funcParabolic,0.,kADCMax,1);
552 graphErr = new TGraphErrors(nbpf2, xp, yp, xpErr, ypErr);
553
554 graphErr->Fit(f2,"RQ");
555 chi2P2 = f2->GetChisquare();
556 f2->GetParameters(par);
557
558 delete graphErr;
559 graphErr=0;
560 delete f2;
561
562 prChi2P2 = TMath::Prob(chi2P2, nbpf2-1);
563 a2 = par[0];
564 }
565
566 par[0] = a0;
567 par[1] = a1;
568 par[2] = a2;
569 par[3] = xLim;
570
5253c153 571 if(prChi2>0.999999)prChi2=0.999999 ; if(prChi2P2>0.999999)prChi2P2=0.9999999; // avoiding Pr(Chi2)=1 value
572 p1 = TMath::Nint(floor(prChi2*15))+1; // round down value : floor(2.8)=2.
573 p2 = TMath::Nint(floor(prChi2P2*15))+1;
574 q = p1*16 + p2; // fit quality
575
576 Double_t x0 = -par[0]/par[1]; // value of x corresponding to à 0 fC
577 threshold = TMath::Nint(ceil(par[3]-x0)); // linear if x < threshold
578
579 if(fPrintLevel>1)
580 {
581 fprintf(pfilen,"%4i %4i %2i",busPatchId,manuId,channelId);
582 fprintf(pfilen," %6.2f %6.4f %10.3e %4.2f %4i %8.6f %8.6f %x %8.6f %8.6f %x\n",
583 par[0], par[1], par[2], par[3], threshold, prChi2, floor(prChi2*15), p1, prChi2P2, floor(prChi2P2*15),p2);
584 }
585
586
587 // tests
588 if(par[1]< goodA1Min || par[1]> goodA1Max) p1=0;
589 if(par[2]< goodA2Min || par[2]> goodA2Max) p2=0;
590
591 } // fitproceed
592
593 if(fitproceed && p1>0 && p2>0)
594 {
595 nGoodChannel++;
596 sumProbChi2 += prChi2;
597 sumA1 += par[1];
5253c153 598 sumProbChi2P2 += prChi2P2;
599 sumA2 += par[2];
600 }
601 else // bad calibration
602 {
603 nBadChannel++;
604 q=0;
605 par[1]=0.5; a1=0.5; p1=0;
606 par[2]=0.; a2=0.; p2=0;
607 threshold=kADCMax;
608
609 // bad calibration counter
610 char bpmanuname[256];
611 AliMUONErrorCounter* uncalcounter;
612
613 sprintf(bpmanuname,"bp%dmanu%d",busPatchId,manuId);
614 if (!(uncalcounter = (AliMUONErrorCounter*)uncalBuspatchManuTable->FindObject(bpmanuname)))
615 {
616 // New buspatch_manu name
617 uncalcounter= new AliMUONErrorCounter (busPatchId,manuId);
618 uncalcounter->SetName(bpmanuname);
619 uncalBuspatchManuTable->Add(uncalcounter);
620 }
621 else
622 {
623 // Existing buspatch_manu name
624 uncalcounter->Increment();
625 }
626 // uncalcounter->Print_uncal()
627 uncalcountertotal ++;
628 }
5431405e 629 gain=1./(par[1]*capa); // mv/fC
5253c153 630
631 if(fPlotLevel>0)
632 {if(fPlotLevel>1)
633 {
634 // if(q==0 and nplot < 100)
635 // if(p1>1 && p2==0 and nplot < 100)
5431405e 636 if(p1>10 && p2>10 and nplot < 100)
5253c153 637 // if(p1>=1 and p1<=2 and nplot < 100)
5431405e 638// if((p1==1 || p2==1) and nplot < 100)
5253c153 639 {
640 nplot++;
641 // cout << " nplot = " << nplot << endl;
642 TF1 *f2Calib = new TF1("f2Calib",funcCalib,0.,kADCMax,NFITPARAMS);
643
644 graphErr = new TGraphErrors(nEntries,pedMean,injCharge,pedSigma,injChargeErr);
645
646 sprintf(graphName,"BusPatch_%d_Manu_%d_Ch_%d",busPatchId, manuId,channelId);
647
648 graphErr->SetTitle(graphName);
649 graphErr->SetMarkerColor(3);
650 graphErr->SetMarkerStyle(12);
651 graphErr->Write(graphName);
652
653 sprintf(graphName,"f2_BusPatch_%d_Manu_%d_Ch_%d",busPatchId, manuId,channelId);
654 f2Calib->SetTitle(graphName);
655 f2Calib->SetLineColor(4);
656 f2Calib->SetParameters(par);
657 f2Calib->Write(graphName);
658
659 delete graphErr;
660 graphErr=0;
661 delete f2Calib;
662 }
663 }
664
665
666 tg->Fill();
667 }
668
669
dbbb2c64 670 pfilew << WriteGainData(busPatchId,manuId,channelId,par[1],par[2],threshold,q);
5253c153 671 }
672 nmanu++;
673 if(nmanu % 500 == 0)std::cout << " Nb manu = " << nmanu << std::endl;
674 }
675
676 // print in logfile
677 if (uncalBuspatchManuTable->GetSize())
678 {
679 uncalBuspatchManuTable->Sort(); // use compare
680 TIterator* iter = uncalBuspatchManuTable->MakeIterator();
681 AliMUONErrorCounter* uncalcounter;
682 (*fFilcout) << "\n List of problematic BusPatch and Manu " << endl;
683 (*fFilcout) << " ========================================" << endl;
684 (*fFilcout) << " BP Manu Nb Channel " << endl ;
685 (*fFilcout) << " ========================================" << endl;
686 while((uncalcounter = (AliMUONErrorCounter*) iter->Next()))
687 {
688 (*fFilcout) << "\t" << uncalcounter->BusPatch() << "\t " << uncalcounter->ManuId() << "\t\t" << uncalcounter->Events() << endl;
689 }
690 (*fFilcout) << " ========================================" << endl;
691
692 (*fFilcout) << " Number of bad calibrated Manu = " << uncalBuspatchManuTable->GetSize() << endl ;
693 (*fFilcout) << " Number of bad calibrated channel = " << uncalcountertotal << endl;
694
695 }
696
697
698 (*fFilcout) << "\n Nb of channels in raw data = " << nmanu*64 << " (" << nmanu << " Manu)" << endl;
699 (*fFilcout) << " Nb of calibrated channel = " << nGoodChannel << " (" << goodA1Min << "<a1<" << goodA1Max
700 << " and " << goodA2Min << "<a2<" << goodA2Max << ") " << endl;
701 (*fFilcout) << " Nb of uncalibrated channel = " << nBadChannel << " (" << noFitChannel << " unfitted)" << endl;
702
703 cout << "\n Nb of channels in raw data = " << nmanu*64 << " (" << nmanu << " Manu)" << endl;
704 cout << " Nb of calibrated channel = " << nGoodChannel << " (" << goodA1Min << "<a1<" << goodA1Max
705 << " and " << goodA2Min << "<a2<" << goodA2Max << ") " << endl;
706 cout << " Nb of uncalibrated channel = " << nBadChannel << " (" << noFitChannel << " unfitted)" << endl;
707
708 Double_t meanA1 = sumA1/(nGoodChannel);
709 Double_t meanProbChi2 = sumProbChi2/(nGoodChannel);
710 Double_t meanA2 = sumA2/(nGoodChannel);
711 Double_t meanProbChi2P2 = sumProbChi2P2/(nGoodChannel);
712
713 Double_t capaManu = 0.2; // pF
714 (*fFilcout) << "\n linear fit : <a1> = " << meanA1 << "\t <gain> = " << 1./(meanA1*capaManu)
715 << " mV/fC (capa= " << capaManu << " pF)" << endl;
716 (*fFilcout) << " Prob(chi2)> = " << meanProbChi2 << endl;
717 (*fFilcout) << "\n parabolic fit: <a2> = " << meanA2 << endl;
718 (*fFilcout) << " Prob(chi2)> = " << meanProbChi2P2 << "\n" << endl;
719
720 cout << "\n <gain> = " << 1./(meanA1*capaManu)
721 << " mV/fC (capa= " << capaManu << " pF)"
722 << " Prob(chi2)> = " << meanProbChi2 << endl;
723
5431405e 724 pfilew.close();
5431405e 725
5253c153 726 if(fPlotLevel>0){tg->Write();histoFile->Close();}
727 if(fPrintLevel>1){fclose(pfilep); fclose(pfilen);}
728}