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avoid doubled adding of histos for MC (O. Busch)
[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;
9c2d4e89 169 cout << "\n" << fPrefixLDC.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{
9c2d4e89 263 Int_t status=0;
5253c153 264 /// Store gains in ASCII files
265 ofstream fileout;
266 ofstream filcouc;
267 TString tempstring;
f3cfa63e 268 TString filename;
9c2d4e89 269 char* detail;
5253c153 270
271 Double_t goodA1Min = 0.5;
272 Double_t goodA1Max = 2.;
f3cfa63e 273// Double_t goodA2Min = -0.5E-03;
274// Double_t goodA2Max = 1.E-03;
f9e83f1d 275 Double_t goodA2Min = -0.5E-01; // changed 28/10/2009 (JLC) <=> enlarged condition on a2
f3cfa63e 276 Double_t goodA2Max = 1.E-01;
5253c153 277 // Table for uncalibrated buspatches and manus
278 THashList* uncalBuspatchManuTable = new THashList(1000,2);
279
280 Int_t numrun[11];
281
282 // open file MUONTRKda_gain_data.root
283 // read again the pedestal for the calibration runs (11 runs)
284 // need the injection charge from config file (to be done)
285 // For each channel make a TGraphErrors (mean, sigma) vs injected charge
286 // Fit with a polynomial fct
287 // store the result in a flat file.
288
f3cfa63e 289 if(fIndex==0)cout << " Root data file = " << fRootDataFileName.Data() << endl;
290 TFile* histoFile = new TFile(fRootDataFileName.Data());
5253c153 291
292 AliMUON2DMap* map[11];
293 AliMUONVCalibParam* ped[11];
294 AliMpIntPair* run[11];
295
296 //read back from root file
297 TTree* tree = (TTree*)histoFile->Get("t");
298 Int_t nEntries = tree->GetEntries();
299
300 Int_t nbpf2 = nEntries - (fnInit + fnbpf1) + 1; // nb pts used for 2nd order fit
301
302 // read back info
303 for (Int_t i = 0; i < nEntries; ++i) {
304 map[i] = 0x0;
305 run[i] = 0x0;
306 tree->SetBranchAddress("ped",&map[i]);
307 tree->SetBranchAddress("run",&run[i]);
308 tree->GetEvent(i);
309 // std::cout << map[i] << " " << run[i] << std::endl;
310 }
311 // RunNumber extracted from Root data fil
312 if(fIndex==0)fRunNumber=(UInt_t)run[nEntries-1]->GetFirst();
313 // sscanf(getenv("DATE_RUN_NUMBER"),"%d",&gAliRunNumber);
314
315 Double_t pedMean[11];
316 Double_t pedSigma[11];
317 for ( Int_t i=0 ; i<11 ; i++) {pedMean[i]=0.;pedSigma[i]=1.;};
318 Double_t injCharge[11];
319 Double_t injChargeErr[11];
320 for ( Int_t i=0 ; i<11 ; i++) {injCharge[i]=0.;injChargeErr[i]=1.;};
321
5253c153 322 // print out in .log file
9c2d4e89 323 detail=Form("\n%s : ------ MUONTRKGAINda for Gain computing (Last Run = %d) ------\n",fPrefixLDC.Data(),fRunNumber); printf("%s",detail);
5253c153 324 (*fFilcout)<<"\n\n//=================================================" << endl;
f3cfa63e 325 (*fFilcout)<<"// MUONTRKGAINda: Gain Computing Run = " << fRunNumber << endl;
326 (*fFilcout)<<"// RootDataFile = "<< fRootDataFileName.Data() << endl;
5253c153 327 (*fFilcout)<<"//=================================================" << endl;
328 (*fFilcout)<<"//* Date : " << fDate->AsString("l") << "\n" << endl;
329
9c2d4e89 330 (*fFilcout) << " Entries = " << nEntries << " DAC values \n" << endl;
331 for (Int_t i = 0; i < nEntries; ++i) {
332 (*fFilcout) << " Run = " << run[i]->GetFirst() << " DAC = " << run[i]->GetSecond() << endl;
333 numrun[i] = run[i]->GetFirst();
334 injCharge[i] = run[i]->GetSecond();
335 injChargeErr[i] = 0.01*injCharge[i];
336 if(injChargeErr[i] <= 1.) injChargeErr[i]=1.;
337 }
338 detail=Form("%s : .... Fitting .... \n",fPrefixLDC.Data()); printf("%s",detail);
5253c153 339
340
341 // why 2 files ? (Ch. F.) => second file contains detailed results
342 FILE *pfilen = 0;
343 if(fPrintLevel>1)
344 {
f3cfa63e 345 filename=Form("%s.param",fPrefixDA.Data());
9c2d4e89 346 detail=Form("%s : Second fit parameter file = %s\n",fPrefixLDC.Data(),filename.Data()); printf("%s",detail);
347 // cout << " Second fit parameter file = " << filename.Data() << "\n";
f3cfa63e 348 pfilen = fopen (filename.Data(),"w");
5253c153 349
350 fprintf(pfilen,"//===================================================================\n");
351 fprintf(pfilen,"// BP MANU CH. par[0] [1] [2] [3] xlim P(chi2) p1 P(chi2)2 p2\n");
352 fprintf(pfilen,"//===================================================================\n");
353 fprintf(pfilen,"// * Run : %d \n",fRunNumber);
354 fprintf(pfilen,"//===================================================================\n");
355 }
356
5253c153 357
dbbb2c64 358 // file outputs for gain
5253c153 359
5431405e 360 ofstream pfilew;
361 pfilew.open(shuttleFile.Data());
dbbb2c64 362 // Write Header Data of the .par file
5431405e 363 pfilew << WriteGainHeader(fnInit,nEntries,nbpf2,numrun,injCharge);
5253c153 364
365 // print mean and sigma values in file
366 FILE *pfilep = 0;
367 if(fPrintLevel>1)
368 {
f3cfa63e 369 filename=Form("%s.peak",fPrefixDA.Data());
9c2d4e89 370 detail=Form("%s : File containing Peak mean values = %s\n",fPrefixLDC.Data(),filename.Data()); printf("%s",detail);
371 // cout << " File containing Peak mean values = " << filename << "\n";
5253c153 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
9c2d4e89 485 // makegain
5253c153 486 // Fit Method: Linear fit over gAlinbpf1 points + parabolic fit over nbpf2 points)
487 // nInit=1 : 1st pt DAC=0 excluded
488
489 // 1. - linear fit over gAlinbpf1 points
490
f3cfa63e 491 Double_t par[4] = {0.,0.5,0.,ADCMax()};
5253c153 492 Int_t nbs = nEntries - fnInit;
493 if(nbs < fnbpf1)fnbpf1=nbs;
494
495 Int_t fitproceed=1;
f3cfa63e 496 Int_t nbpf2Dynamic=nbpf2;
9ee1d6ff 497 Int_t adcLimit=4090; // when RMS < 0.5 (in other cases mean values forced to 4095, see DA_PED)
5253c153 498 for (Int_t j = 0; j < nbs; ++j)
499 {
500 Int_t k = j + fnInit;
501 x[j] = pedMean[k];
f3cfa63e 502 if(x[j]<=0.){fitproceed=0; break;}
f9e83f1d 503 // if(x[j]>= ADCMax())
9ee1d6ff 504 if(x[j]>= adcLimit)
f3cfa63e 505 {
506 if(j < nbs-1){fitproceed=0; break;}
f9e83f1d 507 else { nbpf2Dynamic=nbpf2-1; break;}
f3cfa63e 508 }
5253c153 509 xErr[j] = pedSigma[k];
510 y[j] = injCharge[k];
511 yErr[j] = injChargeErr[k];
512
513 }
514
515 TGraphErrors *graphErr;
516 if(!fitproceed) { p1=0; p2=0; noFitChannel++;}
517
518 if(fitproceed)
519 {
520
f3cfa63e 521 TF1 *f1 = new TF1("f1",funcLin,0.,ADCMax(),2);
5253c153 522 graphErr = new TGraphErrors(fnbpf1, x, y, xErr, yErr);
523
524 f1->SetParameters(0,0);
525
526 graphErr->Fit("f1","RQ");
527
528 chi2 = f1->GetChisquare();
529 f1->GetParameters(par);
530
531 delete graphErr;
532 graphErr=0;
533 delete f1;
534
535 prChi2 = TMath::Prob(chi2, fnbpf1 - 2);
536
537 Double_t xLim = pedMean[fnInit + fnbpf1 - 1];
538 Double_t yLim = par[0]+par[1] * xLim;
539
540 a0 = par[0];
541 a1 = par[1];
542
543 // 2. - Translation : new origin (xLim, yLim) + parabolic fit over nbf2 points
1ccd531d 544 //checking: if(busPatchId ==1841 && manuId==4)nbpf2Dynamic=2;
545 if(nbpf2Dynamic > 2)
5253c153 546 {
f3cfa63e 547 for (Int_t j = 0; j < nbpf2Dynamic; j++)
5253c153 548 {
549 Int_t k = j + (fnInit + fnbpf1) - 1;
550 xp[j] = pedMean[k] - xLim;
551 xpErr[j] = pedSigma[k];
552
553 yp[j] = injCharge[k] - yLim - par[1]*xp[j];
554 ypErr[j] = injChargeErr[k];
555 }
556
f3cfa63e 557 TF1 *f2 = new TF1("f2",funcParabolic,0.,ADCMax(),1);
558 graphErr = new TGraphErrors(nbpf2Dynamic, xp, yp, xpErr, ypErr);
5253c153 559
560 graphErr->Fit(f2,"RQ");
561 chi2P2 = f2->GetChisquare();
562 f2->GetParameters(par);
563
564 delete graphErr;
565 graphErr=0;
566 delete f2;
567
f3cfa63e 568 prChi2P2 = TMath::Prob(chi2P2, nbpf2Dynamic-1);
5253c153 569 a2 = par[0];
570 }
1ccd531d 571 else
572 {
573 unparabolicfit++;
574 (*fFilcout) << " Warning : BP = " << busPatchId << " Manu = " << manuId << " Channel = " << channelId <<": parabolic fit not possible (nbpf2=" << nbpf2Dynamic << ") => a2=0 and linear fit OK" << std::endl;
575 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;
576 a2=0. ; prChi2P2=0. ;
577 }
5253c153 578
579 par[0] = a0;
580 par[1] = a1;
581 par[2] = a2;
582 par[3] = xLim;
583
5253c153 584 if(prChi2>0.999999)prChi2=0.999999 ; if(prChi2P2>0.999999)prChi2P2=0.9999999; // avoiding Pr(Chi2)=1 value
585 p1 = TMath::Nint(floor(prChi2*15))+1; // round down value : floor(2.8)=2.
586 p2 = TMath::Nint(floor(prChi2P2*15))+1;
587 q = p1*16 + p2; // fit quality
588
589 Double_t x0 = -par[0]/par[1]; // value of x corresponding to à 0 fC
590 threshold = TMath::Nint(ceil(par[3]-x0)); // linear if x < threshold
591
592 if(fPrintLevel>1)
593 {
594 fprintf(pfilen,"%4i %4i %2i",busPatchId,manuId,channelId);
595 fprintf(pfilen," %6.2f %6.4f %10.3e %4.2f %4i %8.6f %8.6f %x %8.6f %8.6f %x\n",
596 par[0], par[1], par[2], par[3], threshold, prChi2, floor(prChi2*15), p1, prChi2P2, floor(prChi2P2*15),p2);
597 }
598
599
600 // tests
601 if(par[1]< goodA1Min || par[1]> goodA1Max) p1=0;
602 if(par[2]< goodA2Min || par[2]> goodA2Max) p2=0;
603
604 } // fitproceed
605
606 if(fitproceed && p1>0 && p2>0)
607 {
608 nGoodChannel++;
609 sumProbChi2 += prChi2;
610 sumA1 += par[1];
5253c153 611 sumProbChi2P2 += prChi2P2;
612 sumA2 += par[2];
613 }
614 else // bad calibration
615 {
616 nBadChannel++;
617 q=0;
618 par[1]=0.5; a1=0.5; p1=0;
619 par[2]=0.; a2=0.; p2=0;
f3cfa63e 620 threshold=ADCMax();
5253c153 621
622 // bad calibration counter
623 char bpmanuname[256];
624 AliMUONErrorCounter* uncalcounter;
625
b785c4bd 626 snprintf(bpmanuname,256,"bp%dmanu%d",busPatchId,manuId);
5253c153 627 if (!(uncalcounter = (AliMUONErrorCounter*)uncalBuspatchManuTable->FindObject(bpmanuname)))
628 {
629 // New buspatch_manu name
630 uncalcounter= new AliMUONErrorCounter (busPatchId,manuId);
631 uncalcounter->SetName(bpmanuname);
632 uncalBuspatchManuTable->Add(uncalcounter);
633 }
634 else
635 {
636 // Existing buspatch_manu name
637 uncalcounter->Increment();
638 }
639 // uncalcounter->Print_uncal()
640 uncalcountertotal ++;
641 }
5431405e 642 gain=1./(par[1]*capa); // mv/fC
5253c153 643
644 if(fPlotLevel>0)
645 {if(fPlotLevel>1)
646 {
647 // if(q==0 and nplot < 100)
648 // if(p1>1 && p2==0 and nplot < 100)
f3cfa63e 649 // if(p1>10 && p2>10 and nplot < 100)
5253c153 650 // if(p1>=1 and p1<=2 and nplot < 100)
5431405e 651// if((p1==1 || p2==1) and nplot < 100)
f3cfa63e 652 if(nbpf2Dynamic<nbpf2 and nplot < 100)
5253c153 653 {
654 nplot++;
655 // cout << " nplot = " << nplot << endl;
f3cfa63e 656 TF1 *f2Calib = new TF1("f2Calib",funcCalib,0.,ADCMax(),NFITPARAMS);
5253c153 657
658 graphErr = new TGraphErrors(nEntries,pedMean,injCharge,pedSigma,injChargeErr);
659
b785c4bd 660 snprintf(graphName,256,"BusPatch_%d_Manu_%d_Ch_%d",busPatchId, manuId,channelId);
5253c153 661
662 graphErr->SetTitle(graphName);
663 graphErr->SetMarkerColor(3);
664 graphErr->SetMarkerStyle(12);
665 graphErr->Write(graphName);
666
b785c4bd 667 snprintf(graphName,256,"f2_BusPatch_%d_Manu_%d_Ch_%d",busPatchId, manuId,channelId);
5253c153 668 f2Calib->SetTitle(graphName);
669 f2Calib->SetLineColor(4);
670 f2Calib->SetParameters(par);
671 f2Calib->Write(graphName);
672
673 delete graphErr;
674 graphErr=0;
675 delete f2Calib;
676 }
677 }
5253c153 678 tg->Fill();
679 }
dbbb2c64 680 pfilew << WriteGainData(busPatchId,manuId,channelId,par[1],par[2],threshold,q);
5253c153 681 }
682 nmanu++;
1ccd531d 683 Int_t step=500;
9c2d4e89 684 if(nmanu % step == 0)printf("%s : Nb manu = %d\n",fPrefixLDC.Data(),nmanu);
5253c153 685 }
686
687 // print in logfile
688 if (uncalBuspatchManuTable->GetSize())
689 {
690 uncalBuspatchManuTable->Sort(); // use compare
691 TIterator* iter = uncalBuspatchManuTable->MakeIterator();
692 AliMUONErrorCounter* uncalcounter;
693 (*fFilcout) << "\n List of problematic BusPatch and Manu " << endl;
694 (*fFilcout) << " ========================================" << endl;
695 (*fFilcout) << " BP Manu Nb Channel " << endl ;
696 (*fFilcout) << " ========================================" << endl;
697 while((uncalcounter = (AliMUONErrorCounter*) iter->Next()))
698 {
699 (*fFilcout) << "\t" << uncalcounter->BusPatch() << "\t " << uncalcounter->ManuId() << "\t\t" << uncalcounter->Events() << endl;
700 }
701 (*fFilcout) << " ========================================" << endl;
702
703 (*fFilcout) << " Number of bad calibrated Manu = " << uncalBuspatchManuTable->GetSize() << endl ;
704 (*fFilcout) << " Number of bad calibrated channel = " << uncalcountertotal << endl;
705
706 }
9c2d4e89 707 if(nmanu && nGoodChannel)
0e5fb403 708 {
9c2d4e89 709 Double_t ratio_limit=0.25;
710 Double_t ratio=float (nBadChannel)/float (nmanu*64);
711
712 detail=Form("\n%s : Nb of channels in raw data = %d (%d Manu)",fPrefixLDC.Data(),nmanu*64,nmanu);
713 (*fFilcout) << detail ; printf("%s",detail);
714 detail=Form("\n%s : Nb of calibrated channel = %d (%4.2f <a1< %4.2f and %4.2f <a2< %4.2f)",fPrefixLDC.Data(),nGoodChannel,goodA1Min,goodA1Max, goodA2Min,goodA2Max);
715 (*fFilcout) << detail ; printf("%s",detail);
716 detail=Form("\n%s : Nb of uncalibrated channel = %d [%6.4f] (%d unfitted channels) ",fPrefixLDC.Data(),nBadChannel,ratio,noFitChannel);
717 (*fFilcout) << detail ; printf("%s",detail);
718
719 if(ratio > ratio_limit) { status=-1;
720 detail=Form("\n%s : !!!!! WARNING : Nb of uncalibrated channels very large : %6.4f > %6.4f (status= %d) ",fPrefixLDC.Data(),ratio,ratio_limit,status);
721 (*fFilcout) << detail ; printf("%s",detail);
722 }
723
0e5fb403 724 Double_t meanA1 = sumA1/(nGoodChannel);
725 Double_t meanProbChi2 = sumProbChi2/(nGoodChannel);
726 Double_t meanA2 = sumA2/(nGoodChannel);
727 Double_t meanProbChi2P2 = sumProbChi2P2/(nGoodChannel);
0e5fb403 728 Double_t capaManu = 0.2; // pF
9c2d4e89 729 (*fFilcout) << "\n linear fit : <a1> = " << meanA1 << " Prob(chi2)> = " << meanProbChi2 << " <gain> = " << 1./(meanA1*capaManu)
0e5fb403 730 << " mV/fC (capa= " << capaManu << " pF)" << endl;
9c2d4e89 731 (*fFilcout) <<" parabolic fit: <a2> = " << meanA2 << " Prob(chi2)> = " << meanProbChi2P2 << "\n" << endl;
732
733 detail=Form("\n%s : <gain> = %7.5f mV/fC (capa= %3.1f pF) Prob(chi2) = %5.3f\n" ,fPrefixLDC.Data(),1./(meanA1*capaManu),capaManu,meanProbChi2);
734 printf("%s",detail);
0e5fb403 735 }
736 else
9c2d4e89 737 { status=-1;
738 detail=Form("\n%s : !!!!! ERROR : Nb of Manu = %d or Nb calibrated channel = %d !!!!! (status= %d)\n",fPrefixLDC.Data(),nmanu,nGoodChannel,status);
739 (*fFilcout) << detail ; printf("%s",detail);
0e5fb403 740 }
5431405e 741 pfilew.close();
5431405e 742
5253c153 743 if(fPlotLevel>0){tg->Write();histoFile->Close();}
744 if(fPrintLevel>1){fclose(pfilep); fclose(pfilen);}
9c2d4e89 745 SetStatusDA(status);
5253c153 746}