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Correct assignment of clusters to the catgeory ALL, which was in fact wrongly filled...
[u/mrichter/AliRoot.git] / MUON / AliMUONGain.cxx
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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>
b785c4bd 37#include <cstdio>
5253c153 38
39#define NFITPARAMS 4
40
41//-----------------------------------------------------------------------------
42/// \class AliMUONGain
43///
44/// Implementation of calibration computing
45///
46/// add
47///
48///
49/// \author Alberto Baldisseri, JL Charvet
50//-----------------------------------------------------------------------------
51
52
53
54
55// functions
56
f3cfa63e 57namespace {
58
59 //______________________________________________________________________________
60 Double_t funcLin (const Double_t *x, const Double_t *par)
61 {
62 /// Linear function
63 return par[0] + par[1]*x[0];
64 }
65
66 //______________________________________________________________________________
67 Double_t funcParabolic (const Double_t *x, const Double_t *par)
68 {
69 /// Parabolic function
70 return par[0]*x[0]*x[0];
71 }
72
73 //______________________________________________________________________________
74 Double_t funcCalib (const Double_t *x, const Double_t *par)
75 {
76 /// Calibration function
77 Double_t xLim= par[3];
78
79 if(x[0] <= xLim) return par[0] + par[1]*x[0];
80
81 Double_t yLim = par[0]+ par[1]*xLim;
82 return yLim + par[1]*(x[0] - xLim) + par[2]*(x[0] - xLim)*(x[0] - xLim);
83 }
84
5253c153 85}
86
5253c153 87/// \cond CLASSIMP
88ClassImp(AliMUONGain)
89/// \endcond
90
91//______________________________________________________________________________
92AliMUONGain::AliMUONGain()
93: AliMUONPedestal(),
94fInjCharge(0),
f3cfa63e 95fRootDataFileName(),
5253c153 96fnInit(1),
97fnEntries(11),
98fnbpf1(6),
99fPrintLevel(0),
100fPlotLevel(0)
101{
102/// Default constructor
103
5253c153 104}
5253c153 105
106//______________________________________________________________________________
107AliMUONGain::~AliMUONGain()
108{
109/// Destructor
110}
111
112//______________________________________________________________________________
113TString AliMUONGain::WriteDummyHeader(void)
114{
115///
116
117 ostringstream stream;
118 stream<<"//DUMMY FILE (to prevent Shuttle failure)"<< endl;
119 stream<<"//================================================" << endl;
f3cfa63e 120 stream<<"// MUONTRKGAINda: Calibration run " << endl;
5253c153 121 stream<<"//================================================" << endl;
122 stream<<"// * Run : " << fRunNumber << endl;
123 stream<<"// * Date : " << fDate->AsString("l") <<endl;
124 stream<<"// * DAC : " << fInjCharge << endl;
125 stream<<"//-------------------------------------------------" << endl;
126
127 return TString(stream.str().c_str());
128}
129
130//______________________________________________________________________________
131void AliMUONGain::MakePedStoreForGain(TString shuttleFile)
132{
f3cfa63e 133/// Store Pedmean and sigma to pedestal-like ascii file
5253c153 134
135 ofstream fileout;
136 TString tempstring;
f3cfa63e 137 TString flatFile;
5253c153 138 TString outputFile;
139
140 // Store pedestal map in root file
141 TTree* tree = 0x0;
142
143 // write dummy ascii file -> Shuttle
144 if(fIndex<fnEntries)
145 {
5253c153 146 FILE *pfilew=0;
147 pfilew = fopen (shuttleFile,"w");
148
149 fprintf(pfilew,"//DUMMY FILE (to prevent Shuttle failure)\n");
150 fprintf(pfilew,"//================================================\n");
f3cfa63e 151 fprintf(pfilew,"// MUONTRKGAINda: Calibration run \n");
5253c153 152 fprintf(pfilew,"//=================================================\n");
153 fprintf(pfilew,"// * Run : %d \n",fRunNumber);
154 fprintf(pfilew,"// * Date : %s \n",fDate->AsString("l"));
155 fprintf(pfilew,"// * DAC : %d \n",fInjCharge);
156 fprintf(pfilew,"//-------------------------------------------------\n");
157 fclose(pfilew);
158 }
159
160
161
dbbb2c64 162 Finalize();
163 MakeControlHistos();
5253c153 164 if(fPrintLevel>0)
165 {
166 // compute and store mean DAC values (like pedestals)
f3cfa63e 167 flatFile = Form("%s.ped",fPrefixDA.Data());
5253c153 168 outputFile=flatFile;
f3cfa63e 169 cout << "\n" << fPrefixDA.Data() << " : Flat file generated : " << flatFile.Data() << "\n";
dbbb2c64 170 if (!outputFile.IsNull())
171 {
172 ofstream out(outputFile.Data());
173 MakeASCIIoutput(out);
174 out.close();
175 }
5253c153 176 }
5253c153 177
178 TString mode("UPDATE");
179
180 if (fIndex==1) {
181 mode = "RECREATE";
182 }
f3cfa63e 183 TFile* histoFile = new TFile(fRootDataFileName.Data(), mode.Data(), "MUON Tracking Gains");
5253c153 184
185 // second argument should be the injected charge, taken from config crocus file
186 // put also info about run number could be usefull
187 AliMpIntPair* pair = new AliMpIntPair(fRunNumber,fInjCharge );
188
189 if (mode.CompareTo("UPDATE") == 0) {
190 tree = (TTree*)histoFile->Get("t");
191 tree->SetBranchAddress("run",&pair);
192 tree->SetBranchAddress("ped",&fPedestalStore);
193
194 } else {
195 tree = new TTree("t","Pedestal tree");
196 tree->Branch("run", "AliMpIntPair",&pair);
197 tree->Branch("ped", "AliMUON2DMap",&fPedestalStore);
198 tree->SetBranchAddress("run",&pair);
199 tree->SetBranchAddress("ped",&fPedestalStore);
200
201 }
202
203 tree->Fill();
204 tree->Write("t", TObject::kOverwrite); // overwrite the tree
205 histoFile->Close();
206
207 delete pair;
208}
209
210//______________________________________________________________________________
5431405e 211TString AliMUONGain::WriteGainHeader(Int_t nInit, Int_t nEntries, Int_t nbpf2, Int_t *numrun, Double_t *injCharge)
5253c153 212{
1b15b395 213/// Header of the calibration output file
5253c153 214
215 ostringstream stream;
216
217
1b15b395 218 stream<<"//=======================================================" << endl;
f3cfa63e 219 stream<<"// Calibration file calculated by " << fPrefixDA.Data() <<endl;
1b15b395 220 stream<<"//=======================================================" << endl;
5253c153 221 stream<<"// * Run : " << fRunNumber << endl;
222 stream<<"// * Date : " << fDate->AsString("l") <<endl;
223 stream<<"// * Statictics : " << fNEvents << endl;
1b15b395 224 if(fConfig)
f3cfa63e 225 stream<<"// * # of MANUS : " << fNManuConfig << " read in the Det. config. " << endl;
1b15b395 226 stream<<"// * # of MANUS : " << fNManu << " read in raw data " << endl;
227 stream<<"// * # of MANUS : " << fNChannel/64 << " written in calibration file " << endl;
5253c153 228 stream<<"// * # of channels : " << fNChannel << endl;
1b15b395 229 stream<<"//-------------------------------------------------------" << endl;
5253c153 230
5431405e 231 if(nInit==0)
232 stream<<"// "<< nEntries <<" DAC values fit: "<< fnbpf1 << " pts (1st order) " << nbpf2 << " pts (2nd order)" << endl;
233 if(nInit==1)
234 stream<<"// "<< nEntries <<" DAC values fit: "<< fnbpf1 << " pts (1st order) " << nbpf2 << " pts (2nd order) DAC=0 excluded" << endl;
f3cfa63e 235 stream<<"// * nInit = " << nInit << " * f1nbp = " << fnbpf1 << " * f2nbp = " << nbpf2 << 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;
f3cfa63e 267 TString filename;
5253c153 268
269 Double_t goodA1Min = 0.5;
270 Double_t goodA1Max = 2.;
f3cfa63e 271// Double_t goodA2Min = -0.5E-03;
272// Double_t goodA2Max = 1.E-03;
f9e83f1d 273 Double_t goodA2Min = -0.5E-01; // changed 28/10/2009 (JLC) <=> enlarged condition on a2
f3cfa63e 274 Double_t goodA2Max = 1.E-01;
5253c153 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
f3cfa63e 287 if(fIndex==0)cout << " Root data file = " << fRootDataFileName.Data() << endl;
288 TFile* histoFile = new TFile(fRootDataFileName.Data());
5253c153 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
f3cfa63e 321 cout<<"\n ******** MUONTRKGAINda for Gain computing (Last Run = " << fRunNumber << ") ********\n" << endl;
5253c153 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;
f3cfa63e 336 (*fFilcout)<<"// MUONTRKGAINda: Gain Computing Run = " << fRunNumber << endl;
337 (*fFilcout)<<"// RootDataFile = "<< fRootDataFileName.Data() << endl;
5253c153 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 {
f3cfa63e 347 filename=Form("%s.param",fPrefixDA.Data());
348 cout << " Second fit parameter file = " << filename.Data() << "\n";
349 pfilen = fopen (filename.Data(),"w");
5253c153 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 {
f3cfa63e 370 filename=Form("%s.peak",fPrefixDA.Data());
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;
f3cfa63e 396 Double_t gain=10.; // max value (= bad value)
5253c153 397 Double_t capa=0.2; // internal capacitor (pF)
398
399 // plot out
400
5253c153 401 TTree* tg = 0x0;
402 if(fPlotLevel>0)
403 {
f3cfa63e 404 fHistoFileName=Form("%s.root",fPrefixDA.Data());
065a2d7d 405 new TFile(fHistoFileName.Data(),"RECREATE","MUON Tracking gains");
5253c153 406 tg = new TTree("tg","TTree avec class Manu_DiMu");
407
408 tg->Branch("bp",&busPatchId, "busPatchId/I");
409 tg->Branch("manu",&manuId, "manuId/I");
410 tg->Branch("channel",&channelId, "channelId/I");
411
412 tg->Branch("a0",&a0, "a0/D");
413 tg->Branch("a1",&a1, "a1/D");
414 tg->Branch("a2",&a2, "a2/D");
415 tg->Branch("Pchi2",&prChi2, "prChi2/D");
416 tg->Branch("Pchi2_2",&prChi2P2, "prChi2P2/D");
417 tg->Branch("Threshold",&threshold, "threshold/I");
418 tg->Branch("q",&q, "q/I");
419 tg->Branch("p1",&p1, "p1/I");
420 tg->Branch("p2",&p2, "p2/I");
421 tg->Branch("gain",&gain, "gain/D");
422 }
423
424 char graphName[256];
425
426 // iterates over the first pedestal run
427 TIter next(map[0]->CreateIterator());
428 AliMUONVCalibParam* p;
429
430 Int_t nmanu = 0;
431 Int_t nGoodChannel = 0;
432 Int_t nBadChannel = 0;
433 Int_t noFitChannel = 0;
434 Int_t nplot=0;
435 Double_t sumProbChi2 = 0.;
436 Double_t sumA1 = 0.;
437 Double_t sumProbChi2P2 = 0.;
438 Double_t sumA2 = 0.;
439
440 Double_t x[11], xErr[11], y[11], yErr[11];
441 Double_t xp[11], xpErr[11], yp[11], ypErr[11];
442
443 Int_t uncalcountertotal=0 ;
1ccd531d 444 Int_t unparabolicfit=0;
5253c153 445
446 while ( ( p = dynamic_cast<AliMUONVCalibParam*>(next() ) ) )
447 {
448 ped[0] = p;
1ccd531d 449 unparabolicfit=0;
5253c153 450
451 busPatchId = p->ID0();
452 manuId = p->ID1();
453
454 // read back pedestal from the other runs for the given (bupatch, manu)
455 for (Int_t i = 1; i < nEntries; ++i) {
456 ped[i] = static_cast<AliMUONVCalibParam*>(map[i]->FindObject(busPatchId, manuId));
457 }
458
459 // compute for each channel the gain parameters
460 for ( channelId = 0; channelId < ped[0]->Size() ; ++channelId )
461 {
462
463 Int_t n = 0;
464 for (Int_t i = 0; i < nEntries; ++i) {
465
466 if (!ped[i]) continue; //shouldn't happen.
467 pedMean[i] = ped[i]->ValueAsDouble(channelId, 0);
468 pedSigma[i] = ped[i]->ValueAsDouble(channelId, 1);
469
470 if (pedMean[i] < 0) continue; // not connected
471
472 if (pedSigma[i] <= 0) pedSigma[i] = 1.; // should not happen.
473 n++;
474 }
475
5253c153 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
f3cfa63e 493 Double_t par[4] = {0.,0.5,0.,ADCMax()};
5253c153 494 Int_t nbs = nEntries - fnInit;
495 if(nbs < fnbpf1)fnbpf1=nbs;
496
497 Int_t fitproceed=1;
f3cfa63e 498 Int_t nbpf2Dynamic=nbpf2;
9ee1d6ff 499 Int_t adcLimit=4090; // when RMS < 0.5 (in other cases mean values forced to 4095, see DA_PED)
5253c153 500 for (Int_t j = 0; j < nbs; ++j)
501 {
502 Int_t k = j + fnInit;
503 x[j] = pedMean[k];
f3cfa63e 504 if(x[j]<=0.){fitproceed=0; break;}
f9e83f1d 505 // if(x[j]>= ADCMax())
9ee1d6ff 506 if(x[j]>= adcLimit)
f3cfa63e 507 {
508 if(j < nbs-1){fitproceed=0; break;}
f9e83f1d 509 else { nbpf2Dynamic=nbpf2-1; break;}
f3cfa63e 510 }
5253c153 511 xErr[j] = pedSigma[k];
512 y[j] = injCharge[k];
513 yErr[j] = injChargeErr[k];
514
515 }
516
517 TGraphErrors *graphErr;
518 if(!fitproceed) { p1=0; p2=0; noFitChannel++;}
519
520 if(fitproceed)
521 {
522
f3cfa63e 523 TF1 *f1 = new TF1("f1",funcLin,0.,ADCMax(),2);
5253c153 524 graphErr = new TGraphErrors(fnbpf1, x, y, xErr, yErr);
525
526 f1->SetParameters(0,0);
527
528 graphErr->Fit("f1","RQ");
529
530 chi2 = f1->GetChisquare();
531 f1->GetParameters(par);
532
533 delete graphErr;
534 graphErr=0;
535 delete f1;
536
537 prChi2 = TMath::Prob(chi2, fnbpf1 - 2);
538
539 Double_t xLim = pedMean[fnInit + fnbpf1 - 1];
540 Double_t yLim = par[0]+par[1] * xLim;
541
542 a0 = par[0];
543 a1 = par[1];
544
545 // 2. - Translation : new origin (xLim, yLim) + parabolic fit over nbf2 points
1ccd531d 546 //checking: if(busPatchId ==1841 && manuId==4)nbpf2Dynamic=2;
547 if(nbpf2Dynamic > 2)
5253c153 548 {
f3cfa63e 549 for (Int_t j = 0; j < nbpf2Dynamic; j++)
5253c153 550 {
551 Int_t k = j + (fnInit + fnbpf1) - 1;
552 xp[j] = pedMean[k] - xLim;
553 xpErr[j] = pedSigma[k];
554
555 yp[j] = injCharge[k] - yLim - par[1]*xp[j];
556 ypErr[j] = injChargeErr[k];
557 }
558
f3cfa63e 559 TF1 *f2 = new TF1("f2",funcParabolic,0.,ADCMax(),1);
560 graphErr = new TGraphErrors(nbpf2Dynamic, xp, yp, xpErr, ypErr);
5253c153 561
562 graphErr->Fit(f2,"RQ");
563 chi2P2 = f2->GetChisquare();
564 f2->GetParameters(par);
565
566 delete graphErr;
567 graphErr=0;
568 delete f2;
569
f3cfa63e 570 prChi2P2 = TMath::Prob(chi2P2, nbpf2Dynamic-1);
5253c153 571 a2 = par[0];
572 }
1ccd531d 573 else
574 {
575 unparabolicfit++;
576 (*fFilcout) << " Warning : BP = " << busPatchId << " Manu = " << manuId << " Channel = " << channelId <<": parabolic fit not possible (nbpf2=" << nbpf2Dynamic << ") => a2=0 and linear fit OK" << std::endl;
577 if(unparabolicfit==1) std::cout << " Warning : BP = " << busPatchId << " Manu = " << manuId << ": no parabolic fit for some channels (nbpf2=" << nbpf2Dynamic << "), linear fit is OK (see .log for details)" << std::endl;
578 a2=0. ; prChi2P2=0. ;
579 }
5253c153 580
581 par[0] = a0;
582 par[1] = a1;
583 par[2] = a2;
584 par[3] = xLim;
585
5253c153 586 if(prChi2>0.999999)prChi2=0.999999 ; if(prChi2P2>0.999999)prChi2P2=0.9999999; // avoiding Pr(Chi2)=1 value
587 p1 = TMath::Nint(floor(prChi2*15))+1; // round down value : floor(2.8)=2.
588 p2 = TMath::Nint(floor(prChi2P2*15))+1;
589 q = p1*16 + p2; // fit quality
590
591 Double_t x0 = -par[0]/par[1]; // value of x corresponding to à 0 fC
592 threshold = TMath::Nint(ceil(par[3]-x0)); // linear if x < threshold
593
594 if(fPrintLevel>1)
595 {
596 fprintf(pfilen,"%4i %4i %2i",busPatchId,manuId,channelId);
597 fprintf(pfilen," %6.2f %6.4f %10.3e %4.2f %4i %8.6f %8.6f %x %8.6f %8.6f %x\n",
598 par[0], par[1], par[2], par[3], threshold, prChi2, floor(prChi2*15), p1, prChi2P2, floor(prChi2P2*15),p2);
599 }
600
601
602 // tests
603 if(par[1]< goodA1Min || par[1]> goodA1Max) p1=0;
604 if(par[2]< goodA2Min || par[2]> goodA2Max) p2=0;
605
606 } // fitproceed
607
608 if(fitproceed && p1>0 && p2>0)
609 {
610 nGoodChannel++;
611 sumProbChi2 += prChi2;
612 sumA1 += par[1];
5253c153 613 sumProbChi2P2 += prChi2P2;
614 sumA2 += par[2];
615 }
616 else // bad calibration
617 {
618 nBadChannel++;
619 q=0;
620 par[1]=0.5; a1=0.5; p1=0;
621 par[2]=0.; a2=0.; p2=0;
f3cfa63e 622 threshold=ADCMax();
5253c153 623
624 // bad calibration counter
625 char bpmanuname[256];
626 AliMUONErrorCounter* uncalcounter;
627
b785c4bd 628 snprintf(bpmanuname,256,"bp%dmanu%d",busPatchId,manuId);
5253c153 629 if (!(uncalcounter = (AliMUONErrorCounter*)uncalBuspatchManuTable->FindObject(bpmanuname)))
630 {
631 // New buspatch_manu name
632 uncalcounter= new AliMUONErrorCounter (busPatchId,manuId);
633 uncalcounter->SetName(bpmanuname);
634 uncalBuspatchManuTable->Add(uncalcounter);
635 }
636 else
637 {
638 // Existing buspatch_manu name
639 uncalcounter->Increment();
640 }
641 // uncalcounter->Print_uncal()
642 uncalcountertotal ++;
643 }
5431405e 644 gain=1./(par[1]*capa); // mv/fC
5253c153 645
646 if(fPlotLevel>0)
647 {if(fPlotLevel>1)
648 {
649 // if(q==0 and nplot < 100)
650 // if(p1>1 && p2==0 and nplot < 100)
f3cfa63e 651 // if(p1>10 && p2>10 and nplot < 100)
5253c153 652 // if(p1>=1 and p1<=2 and nplot < 100)
5431405e 653// if((p1==1 || p2==1) and nplot < 100)
f3cfa63e 654 if(nbpf2Dynamic<nbpf2 and nplot < 100)
5253c153 655 {
656 nplot++;
657 // cout << " nplot = " << nplot << endl;
f3cfa63e 658 TF1 *f2Calib = new TF1("f2Calib",funcCalib,0.,ADCMax(),NFITPARAMS);
5253c153 659
660 graphErr = new TGraphErrors(nEntries,pedMean,injCharge,pedSigma,injChargeErr);
661
b785c4bd 662 snprintf(graphName,256,"BusPatch_%d_Manu_%d_Ch_%d",busPatchId, manuId,channelId);
5253c153 663
664 graphErr->SetTitle(graphName);
665 graphErr->SetMarkerColor(3);
666 graphErr->SetMarkerStyle(12);
667 graphErr->Write(graphName);
668
b785c4bd 669 snprintf(graphName,256,"f2_BusPatch_%d_Manu_%d_Ch_%d",busPatchId, manuId,channelId);
5253c153 670 f2Calib->SetTitle(graphName);
671 f2Calib->SetLineColor(4);
672 f2Calib->SetParameters(par);
673 f2Calib->Write(graphName);
674
675 delete graphErr;
676 graphErr=0;
677 delete f2Calib;
678 }
679 }
5253c153 680 tg->Fill();
681 }
dbbb2c64 682 pfilew << WriteGainData(busPatchId,manuId,channelId,par[1],par[2],threshold,q);
5253c153 683 }
684 nmanu++;
1ccd531d 685 Int_t step=500;
686 if(nmanu % step == 0)std::cout << " Nb manu = " << nmanu << std::endl;
5253c153 687 }
688
689 // print in logfile
690 if (uncalBuspatchManuTable->GetSize())
691 {
692 uncalBuspatchManuTable->Sort(); // use compare
693 TIterator* iter = uncalBuspatchManuTable->MakeIterator();
694 AliMUONErrorCounter* uncalcounter;
695 (*fFilcout) << "\n List of problematic BusPatch and Manu " << endl;
696 (*fFilcout) << " ========================================" << endl;
697 (*fFilcout) << " BP Manu Nb Channel " << endl ;
698 (*fFilcout) << " ========================================" << endl;
699 while((uncalcounter = (AliMUONErrorCounter*) iter->Next()))
700 {
701 (*fFilcout) << "\t" << uncalcounter->BusPatch() << "\t " << uncalcounter->ManuId() << "\t\t" << uncalcounter->Events() << endl;
702 }
703 (*fFilcout) << " ========================================" << endl;
704
705 (*fFilcout) << " Number of bad calibrated Manu = " << uncalBuspatchManuTable->GetSize() << endl ;
706 (*fFilcout) << " Number of bad calibrated channel = " << uncalcountertotal << endl;
707
708 }
709
710
711 (*fFilcout) << "\n Nb of channels in raw data = " << nmanu*64 << " (" << nmanu << " Manu)" << endl;
712 (*fFilcout) << " Nb of calibrated channel = " << nGoodChannel << " (" << goodA1Min << "<a1<" << goodA1Max
713 << " and " << goodA2Min << "<a2<" << goodA2Max << ") " << endl;
714 (*fFilcout) << " Nb of uncalibrated channel = " << nBadChannel << " (" << noFitChannel << " unfitted)" << endl;
715
716 cout << "\n Nb of channels in raw data = " << nmanu*64 << " (" << nmanu << " Manu)" << endl;
717 cout << " Nb of calibrated channel = " << nGoodChannel << " (" << goodA1Min << "<a1<" << goodA1Max
718 << " and " << goodA2Min << "<a2<" << goodA2Max << ") " << endl;
719 cout << " Nb of uncalibrated channel = " << nBadChannel << " (" << noFitChannel << " unfitted)" << endl;
720
721 Double_t meanA1 = sumA1/(nGoodChannel);
722 Double_t meanProbChi2 = sumProbChi2/(nGoodChannel);
723 Double_t meanA2 = sumA2/(nGoodChannel);
724 Double_t meanProbChi2P2 = sumProbChi2P2/(nGoodChannel);
725
726 Double_t capaManu = 0.2; // pF
727 (*fFilcout) << "\n linear fit : <a1> = " << meanA1 << "\t <gain> = " << 1./(meanA1*capaManu)
728 << " mV/fC (capa= " << capaManu << " pF)" << endl;
729 (*fFilcout) << " Prob(chi2)> = " << meanProbChi2 << endl;
730 (*fFilcout) << "\n parabolic fit: <a2> = " << meanA2 << endl;
731 (*fFilcout) << " Prob(chi2)> = " << meanProbChi2P2 << "\n" << endl;
732
733 cout << "\n <gain> = " << 1./(meanA1*capaManu)
734 << " mV/fC (capa= " << capaManu << " pF)"
735 << " Prob(chi2)> = " << meanProbChi2 << endl;
736
5431405e 737 pfilew.close();
5431405e 738
5253c153 739 if(fPlotLevel>0){tg->Write();histoFile->Close();}
740 if(fPrintLevel>1){fclose(pfilep); fclose(pfilen);}
741}