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added rho to event propoerties, added cut on delta Z for centraltiy outliers
[u/mrichter/AliRoot.git] / FMD / AliFMDQAChecker.cxx
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c9dd1c4d 1/**************************************************************************
2 * Copyright(c) 2004, 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// Yves?
18// What
19// is
20// this
21// class
22// supposed
23// to
24// do?
25//__________________________________________________________________
26//
27// --- ROOT system ---
28#include <TClass.h>
29#include <TH1F.h>
1306ba55 30#include <TF1.h>
9eb9c521 31#include <TH2.h>
c9dd1c4d 32#include <TH1I.h>
33#include <TIterator.h>
34#include <TKey.h>
35#include <TFile.h>
6ceca4ef 36#include <iostream>
1706c710 37#include <TCanvas.h>
38#include <TPaveText.h>
05e5e0c1 39#include <TStyle.h>
9eb9c521 40#include <TLatex.h>
1306ba55 41#include <TFitResult.h>
42#include <TParameter.h>
43#include <TMacro.h>
a3e1fdcc 44#include <TPaveText.h>
c9dd1c4d 45
46// --- AliRoot header files ---
47#include "AliLog.h"
4e25ac79 48#include "AliQAv1.h"
c9dd1c4d 49#include "AliQAChecker.h"
50#include "AliFMDQAChecker.h"
a3e1fdcc 51#include "AliFMDQADataMakerRec.h"
6ceca4ef 52#include "AliRecoParam.h"
1306ba55 53#include <AliCDBManager.h>
54#include <AliCDBEntry.h>
55#include <AliCDBId.h>
56#include <AliQAThresholds.h>
c9dd1c4d 57
58ClassImp(AliFMDQAChecker)
59#if 0
60; // This is for Emacs! - do not delete
61#endif
05e5e0c1 62
1306ba55 63namespace {
64 void addFitsMacro(TList* l) {
65 TMacro* m = new TMacro("fits");
66 m->AddLine("void fits() {");
67 m->AddLine(" if (!gPad) { Printf(\"No gPad\"); return; }");
68 m->AddLine(" TList* lp = gPad->GetListOfPrimitives();");
69 m->AddLine(" if (!lp) return;");
70 m->AddLine(" TObject* po = 0;");
71 m->AddLine(" TIter next(lp);");
72 m->AddLine(" while ((po = next())) {");
73 m->AddLine(" if (!po->IsA()->InheritsFrom(TH1::Class())) continue;");
74 m->AddLine(" TH1* htmp = dynamic_cast<TH1*>(po);");
75 m->AddLine(" TList* lf = htmp->GetListOfFunctions();");
76 m->AddLine(" TObject* pso = (lf ? lf->FindObject(\"stats\") : 0);");
77 m->AddLine(" if (!pso) continue;");
78 m->AddLine(" TPaveStats* ps = static_cast<TPaveStats*>(pso);");
79 m->AddLine(" ps->SetOptFit(111);");
80 m->AddLine(" UShort_t qual = htmp->GetUniqueID();");
81 m->AddLine(" ps->SetFillColor(qual >= 3 ? kRed-4 : qual >= 2 ? kOrange-4 : qual >= 1 ? kYellow-4 : kGreen-4);");
82 // m->AddLine(" lf->Remove(lf->FindObject(\"fits\"));");
83 // m->AddLine(" ps->Paint();");
84 m->AddLine(" break;");
85 m->AddLine(" }");
86 // m->AddLine(" gPad->Modified(); gPad->Update(); gPad->cd();");
87 m->AddLine("}");
88
89 TObject* old = l->FindObject(m->GetName());
90 if (old) l->Remove(old);
91 l->Add(m);
92 }
93
e0c60e77 94 const Double_t kROErrorsLabelY = .30;
1306ba55 95
96 const Int_t kConvolutionSteps = 100;
97 const Double_t kConvolutionNSigma = 5;
98
99 //
100 // The shift of the most probable value for the ROOT function TMath::Landau
101 //
102 const Double_t kMpShift = -0.22278298;
103 //
104 // Integration normalisation
105 //
106 const Double_t kInvSq2Pi = 1. / TMath::Sqrt(2*TMath::Pi());
107
108 Double_t landau(Double_t x, Double_t delta, Double_t xi)
109 {
110 //
111 // Calculate the shifted Landau
112 // @f[
113 // f'_{L}(x;\Delta,\xi) = f_L(x;\Delta+0.22278298\xi)
114 // @f]
115 //
116 // where @f$ f_{L}@f$ is the ROOT implementation of the Landau
117 // distribution (known to have @f$ \Delta_{p}=-0.22278298@f$ for
118 // @f$\Delta=0,\xi=1@f$.
119 //
120 // Parameters:
121 // x Where to evaluate @f$ f'_{L}@f$
122 // delta Most probable value
123 // xi The 'width' of the distribution
124 //
125 // Return:
126 // @f$ f'_{L}(x;\Delta,\xi) @f$
127 //
128 return TMath::Landau(x, delta - xi * kMpShift, xi);
129 }
130 Double_t landauGaus(Double_t x, Double_t delta, Double_t xi,
131 Double_t sigma, Double_t sigmaN)
132 {
133 //
134 // Calculate the value of a Landau convolved with a Gaussian
135 //
136 // @f[
137 // f(x;\Delta,\xi,\sigma') = \frac{1}{\sigma' \sqrt{2 \pi}}
138 // \int_{-\infty}^{+\infty} d\Delta' f'_{L}(x;\Delta',\xi)
139 // \exp{-\frac{(\Delta-\Delta')^2}{2\sigma'^2}}
140 // @f]
141 //
142 // where @f$ f'_{L}@f$ is the Landau distribution, @f$ \Delta@f$
143 // the energy loss, @f$ \xi@f$ the width of the Landau, and @f$
144 // \sigma'^2=\sigma^2-\sigma_n^2 @f$. Here, @f$\sigma@f$ is the
145 // variance of the Gaussian, and @f$\sigma_n@f$ is a parameter
146 // modelling noise in the detector.
147 //
148 // Note that this function uses the constants kConvolutionSteps and
149 // kConvolutionNSigma
150 //
151 // References:
152 // - <a href="http://dx.doi.org/10.1016/0168-583X(84)90472-5">Nucl.Instrum.Meth.B1:16</a>
153 // - <a href="http://dx.doi.org/10.1103/PhysRevA.28.615">Phys.Rev.A28:615</a>
154 // - <a href="http://root.cern.ch/root/htmldoc/tutorials/fit/langaus.C.html">ROOT implementation</a>
155 //
156 // Parameters:
157 // x where to evaluate @f$ f@f$
158 // delta @f$ \Delta@f$ of @f$ f(x;\Delta,\xi,\sigma')@f$
159 // xi @f$ \xi@f$ of @f$ f(x;\Delta,\xi,\sigma')@f$
160 // sigma @f$ \sigma@f$ of @f$\sigma'^2=\sigma^2-\sigma_n^2 @f$
161 // sigma_n @f$ \sigma_n@f$ of @f$\sigma'^2=\sigma^2-\sigma_n^2 @f$
162 //
163 // Return:
164 // @f$ f@f$ evaluated at @f$ x@f$.
165 //
166 Double_t deltap = delta - xi * kMpShift;
167 Double_t sigma2 = sigmaN*sigmaN + sigma*sigma;
168 Double_t sigma1 = sigmaN == 0 ? sigma : TMath::Sqrt(sigma2);
169 Double_t xlow = x - kConvolutionNSigma * sigma1;
170 Double_t xhigh = x + kConvolutionNSigma * sigma1;
171 Double_t step = (xhigh - xlow) / kConvolutionSteps;
172 Double_t sum = 0;
173
174 for (Int_t i = 0; i <= kConvolutionSteps/2; i++) {
175 Double_t x1 = xlow + (i - .5) * step;
176 Double_t x2 = xhigh - (i - .5) * step;
177
178 sum += TMath::Landau(x1, deltap, xi, kTRUE) * TMath::Gaus(x, x1, sigma1);
179 sum += TMath::Landau(x2, deltap, xi, kTRUE) * TMath::Gaus(x, x2, sigma1);
180 }
181 return step * sum * kInvSq2Pi / sigma1;
182 }
183
184 //
185 // Utility function to use in TF1 defintition
186 //
187 Double_t landauGaus1(Double_t* xp, Double_t* pp)
188 {
189 Double_t x = xp[0];
190 Double_t constant = pp[0];
191 Double_t delta = pp[1];
192 Double_t xi = pp[2];
193 Double_t sigma = pp[3];
194 Double_t sigmaN = pp[4];
195
196 return constant * landauGaus(x, delta, xi, sigma, sigmaN);
197 }
198
199 //____________________________________________________________________
200 TF1* makeLandauGaus(const char* ,
201 Double_t c=1,
202 Double_t delta=.5, Double_t xi=0.07,
203 Double_t sigma=.1, Double_t sigmaN=-1,
204 Double_t xmin=0, Double_t xmax=15)
205 {
206 //
207 // Generate a TF1 object of @f$ f_I@f$
208 //
209 // Parameters:
210 // c Constant
211 // delta @f$ \Delta@f$
212 // xi @f$ \xi_1@f$
213 // sigma @f$ \sigma_1@f$
214 // sigma_n @f$ \sigma_n@f$
215 // xmin Least value of range
216 // xmax Largest value of range
217 //
218 // Return:
219 // Newly allocated TF1 object
220 //
221 Int_t npar = 5;
222 TF1* func = new TF1("landauGaus",
223 &landauGaus1,xmin,xmax,npar);
224 // func->SetLineStyle(((i-2) % 10)+2); // start at dashed
225 func->SetLineColor(kBlack);
226 func->SetLineWidth(2);
227 func->SetNpx(500);
228 func->SetParNames("C","#Delta_{p}","#xi", "#sigma", "#sigma_{n}");
229
230 // Set the initial parameters from the seed fit
231 func->SetParameter(0, c);
232 func->SetParameter(1, delta);
233 func->SetParameter(2, xi);
234 func->SetParameter(3, sigma);
235 func->SetParameter(4, sigmaN);
236
237 func->SetParLimits(1, 0, xmax);
238 func->SetParLimits(2, 0, xmax);
239 func->SetParLimits(3, 0.01, 0.4);
240
241 if (sigmaN < 0) func->FixParameter(4, 0);
242 else func->SetParLimits(4, 0, xmax);
243
244 return func;
245 }
246}
247
248//__________________________________________________________________
249AliFMDQAChecker::AliFMDQAChecker()
250 : AliQACheckerBase("FMD","FMD Quality Assurance Checker") ,
251 fDoScale(false),
252 fDidExternal(false),
253 fShowFitResults(true),
254 fELossLowCut(0.2),
255 fELossNRMS(3),
256 fELossBadChi2Nu(10),
257 fELossFkupChi2Nu(100),
258 fELossMinEntries(1000),
e0c60e77 259 fELossMaxEntries(-1),
1306ba55 260 fELossGoodParError(0.1),
261 fROErrorsBad(0.3),
262 fROErrorsFkup(0.5)
263{
264}
265
266//__________________________________________________________________
267void
268AliFMDQAChecker::ProcessExternalParams()
269{
270 ProcessExternalParam("ELossLowCut", fELossLowCut);
271 ProcessExternalParam("ELossNRMS", fELossNRMS);
272 ProcessExternalParam("ELossBadChi2Nu", fELossBadChi2Nu);
273 ProcessExternalParam("ELossFkupChi2Nu", fELossFkupChi2Nu);
274 ProcessExternalParam("ELossGoodParError", fELossGoodParError);
275 ProcessExternalParam("ROErrorsBad", fROErrorsBad);
276 ProcessExternalParam("ROErrorsFkup", fROErrorsFkup);
277 Double_t tmp = 0;
278 ProcessExternalParam("CommonScale", tmp);
279 fDoScale = tmp > 0;
280 ProcessExternalParam("ELossMinEntries", tmp);
281 fELossMinEntries = tmp;
e0c60e77 282 ProcessExternalParam("ELossMaxEntries", tmp);
283 fELossMaxEntries = tmp;
1306ba55 284
285 GetThresholds();
286
287 fDidExternal = true;
288}
289//__________________________________________________________________
290void
291AliFMDQAChecker::ProcessExternalParam(const char* name, Double_t& v)
292{
293 TObject* o = fExternParamList->FindObject(name);
294 if (!o) return;
295 TParameter<double>* p = static_cast<TParameter<double>*>(o);
296 v = p->GetVal();
297 AliDebugF(3, "External parameter: %-20s=%lf", name, v);
298}
299
300//__________________________________________________________________
301void
302AliFMDQAChecker::GetThresholds()
303{
304 const char* path = "GRP/Calib/QAThresholds";
305 AliCDBManager* cdbMan = AliCDBManager::Instance();
306 AliCDBEntry* cdbEnt = cdbMan->Get(path);
307 if (!cdbEnt) {
308 AliWarningF("Failed to get CDB entry at %s", path);
309 return;
310 }
311
312 TObjArray* cdbObj = static_cast<TObjArray*>(cdbEnt->GetObject());
313 if (!cdbObj) {
314 AliWarningF("Failed to get CDB object at %s", path);
315 return;
316 }
317
318 TObject* fmdObj = cdbObj->FindObject("FMD");
319 if (!fmdObj) {
320 AliWarningF("Failed to get FMD object at from CDB %s", path);
321 return;
322 }
323
324 AliQAThresholds* qaThr = static_cast<AliQAThresholds*>(fmdObj);
325 Int_t nThr = qaThr->GetSize();
326 for (Int_t i = 0; i < nThr; i++) {
327 TObject* thr = qaThr->GetThreshold(i);
328 if (!thr) continue;
329
330 TParameter<double>* d = dynamic_cast<TParameter<double>*>(thr);
331 if (!d) {
332 AliWarningF("Parameter %s not of type double", thr->GetName());
333 continue;
334 }
335 Double_t val = d->GetVal();
336 TString name(thr->GetName());
337 if (name.EqualTo("ELossBadChi2Nu")) fELossBadChi2Nu = val;
338 else if (name.EqualTo("ELossFkupChi2Nu")) fELossFkupChi2Nu = val;
339 else if (name.EqualTo("ELossGoodParError")) fELossGoodParError = val;
340 else if (name.EqualTo("ROErrorsBad")) fROErrorsBad = val;
341 else if (name.EqualTo("ROErrorsFkup")) fROErrorsFkup = val;
342 AliDebugF(3, "Threshold %s=%f", name.Data(), val);
343 }
344}
345
346//__________________________________________________________________
347AliQAv1::QABIT_t
348AliFMDQAChecker::Quality2Bit(UShort_t value) const
349{
350 AliQAv1::QABIT_t ret = AliQAv1::kINFO; // Assume success
351 if (value >= kWhatTheFk) ret = AliQAv1::kFATAL;
352 else if (value >= kBad) ret = AliQAv1::kERROR;
353 else if (value >= kProblem) ret = AliQAv1::kWARNING;
354
355 return ret;
356}
357
358//__________________________________________________________________
359void
360AliFMDQAChecker::SetQA(AliQAv1::ALITASK_t index, Double_t* values) const
361{
362 AliQAv1 * qa = AliQAv1::Instance(index) ;
363
364 for (Int_t specie = 0 ; specie < AliRecoParam::kNSpecies ; specie++) {
365 // Check if specie is defined
366 if (!qa->IsEventSpecieSet(AliRecoParam::ConvertIndex(specie)))
367 continue ;
368
369 // No checker is implemented, set all QA to Fatal
370 if (!values) {
371 qa->Set(AliQAv1::kFATAL, specie) ;
372 continue;
373 }
374
375 UShort_t value = values[specie];
376 AliQAv1::QABIT_t ret = Quality2Bit(value);
377
378 qa->Set(ret, AliRecoParam::ConvertIndex(specie));
379 AliDebugF(3, "Quality of %s: %d -> %d",
380 AliRecoParam::GetEventSpecieName(specie), value, ret);
381 }
382}
383
384//__________________________________________________________________
385UShort_t
386AliFMDQAChecker::BasicCheck(TH1* hist) const
387{
388 if (hist->GetEntries() <= 0) return kOK;
389 return (hist->GetMean() > 0 ? kOK : kProblem);
390}
391
05e5e0c1 392//__________________________________________________________________
1306ba55 393UShort_t
05e5e0c1 394AliFMDQAChecker::CheckOne(AliQAv1::ALITASK_t what,
395 AliRecoParam::EventSpecie_t specie,
396 TH1* hist) const
397{
398 if(what == AliQAv1::kESD) return CheckESD(specie, hist);
399 if(what == AliQAv1::kRAW) return CheckRaw(specie, hist);
400 if(what == AliQAv1::kSIM) return CheckSim(specie, hist);
401 if(what == AliQAv1::kREC) return CheckRec(specie, hist);
402 return 0;
403}
404//__________________________________________________________________
1306ba55 405UShort_t
05e5e0c1 406AliFMDQAChecker::CheckESD(AliRecoParam::EventSpecie_t /* specie*/,
407 TH1* hist) const
408{
1306ba55 409 return BasicCheck(hist);
410}
411//__________________________________________________________________
412UShort_t
413AliFMDQAChecker::CheckFit(TH1* hist, const TFitResultPtr& res,
414 Double_t low, Double_t high, Int_t& color) const
415{
416 color = kGreen+4;
417
418 UShort_t ret = 0;
419 Int_t nPar = res->NPar();
420 Double_t dy = .06;
421 Double_t x = .2;
422 Double_t y = .9-dy;
423 Double_t chi2 = res->Chi2();
424 Int_t nu = res->Ndf();
425 Double_t red = (nu == 0 ? fELossFkupChi2Nu : chi2 / nu);
426 TObjArray* lines = 0;
e0c60e77 427 // TLatex* lRed = 0;
1306ba55 428 TLatex* ltx = 0;
e0c60e77 429 Int_t chi2Check = 0;
430 Double_t chi2Lim = fELossBadChi2Nu;
431 if (red > fELossBadChi2Nu) { // || res->Prob() < .01) {
432 // AliWarningF("Fit gave chi^2/nu=%f/%d=%f>%f (%f)",
433 // res->Chi2(), res->Ndf(), red, fELossBadChi2Nu,
434 // fELossFkupChi2Nu);
435 // res->Print();
436 chi2Check++;
437 if (red > fELossFkupChi2Nu) {
438 chi2Check++;
439 chi2Lim = fELossFkupChi2Nu;
440 }
441 }
442 ret += chi2Check;
443
1306ba55 444 if (fShowFitResults) {
445 lines = new TObjArray(nPar+3);
446 lines->SetName("lines");
447 lines->SetOwner(true);
448
e0c60e77 449 ltx = new TLatex(x, y, Form("#chi^{2}/#nu: %7.3f %c %6.2f",
450 red, chi2Check < 1 ? '<' : '>',
451 chi2Lim));
1306ba55 452 ltx->SetNDC(true);
e0c60e77 453 ltx->SetTextColor(chi2Check < 1 ? color :
454 chi2Check < 2 ? kOrange+2 : kRed+2);
455 // ltx->SetTextColor(color);
1306ba55 456 ltx->SetTextSize(dy-.01);
457 lines->Add(ltx);
e0c60e77 458 // lRed = ltx;
1306ba55 459
460 Double_t x1 = .85;
461 Double_t y1 = .5;
e0c60e77 462#if 0
1306ba55 463 ltx = new TLatex(x1, y1, Form("[thresholds: %6.2f, %6.2f]",
464 fELossBadChi2Nu, fELossFkupChi2Nu));
465 ltx->SetTextColor(kGray+3);
466 ltx->SetTextSize(dy-.01);
467 ltx->SetNDC(true);
468 ltx->SetTextAlign(31);
e0c60e77 469 // lines->Add(ltx);
470#endif
1306ba55 471
e0c60e77 472 // y1 -= dy;
1306ba55 473 ltx = new TLatex(x1, y1, Form("Fit range: [%6.2f,%6.2f]", low, high));
474 ltx->SetTextColor(kGray+3);
475 ltx->SetTextSize(dy-.01);
476 ltx->SetTextAlign(31);
477 ltx->SetNDC(true);
478 lines->Add(ltx);
479
480 y1 -= dy;
e0c60e77 481 ltx = new TLatex(x1, y1, Form("Entries: %d (%d)",
482 Int_t(hist->GetEffectiveEntries()),
483 fELossMaxEntries));
1306ba55 484 ltx->SetTextColor(kGray+3);
485 ltx->SetTextSize(dy-.01);
486 ltx->SetTextAlign(31);
487 ltx->SetNDC(true);
488 lines->Add(ltx);
489 }
490
1306ba55 491 // Now check the relative error on the fit parameters
492 Int_t parsOk = 0;
493 for (Int_t i = 0; i < nPar; i++) {
494 if (res->IsParameterFixed(i)) continue;
e0c60e77 495 Double_t thr = fELossGoodParError;
1306ba55 496 Double_t pv = res->Parameter(i);
497 Double_t pe = res->ParError(i);
498 Double_t rel = (pv == 0 ? 100 : pe / pv);
e0c60e77 499 Bool_t ok = (i == 3) || (rel < thr);
1306ba55 500 if (lines) {
501 y -= dy;
e0c60e77 502 TString txt(Form("#delta%s/%s: %7.3f ",
503 res->ParName(i).c_str(),
504 res->ParName(i).c_str(),
505 /*pv, pe,*/ rel));
506 if (i != 3) txt.Append(Form("%c %4.2f", ok ? '<' : '>', thr));
507 else txt.Append("(ignored)");
508 ltx = new TLatex(x, y, txt);
1306ba55 509 ltx->SetNDC(true);
1306ba55 510 ltx->SetTextSize(dy-.01);
e0c60e77 511 ltx->SetTextColor(ok ? color : kOrange+2);
1306ba55 512 lines->Add(ltx);
513 }
514 if (i == 3) continue; // Skip sigma
e0c60e77 515 if (ok) parsOk++;
1306ba55 516 }
517 if (parsOk > 0)
518 ret = TMath::Max(ret-(parsOk-1),0);
519 if (ret > 1) color = kRed+2;
520 if (ret > 0) color = kOrange+2;
521
522 TList* lf = hist->GetListOfFunctions();
523 TObject* old = lf->FindObject(lines->GetName());
524 if (old) {
525 lf->Remove(old);
526 delete old;
527 }
528 lf->Add(lines);
529 hist->SetStats(false);
530
531 return ret;
532}
533
534//__________________________________________________________________
535void
536AliFMDQAChecker::AddFitResults(TH1* hist, const TFitResultPtr& res,
537 Int_t color, Double_t low, Double_t high) const
538{
e0c60e77 539 // Obsolete - not used
1306ba55 540 if (!fShowFitResults) return;
541
542 Int_t nPar = res->NPar();
543 TObjArray* lines = new TObjArray(nPar+1);
544 lines->SetOwner(kTRUE);
545 lines->SetName("fitResults");
546
547 Double_t dy = .06;
548 Double_t x = .2;
549 Double_t y = .9-dy;
550 Double_t chi2 = res->Chi2();
551 Int_t nu = res->Ndf();
552 Double_t red = (nu == 0 ? fELossFkupChi2Nu : chi2 / nu);
553
554 TLatex* ltx = new TLatex(x, y, Form("#chi^{2}/#nu: %7.3f",red));
555 ltx->SetNDC(true);
556 ltx->SetTextColor(color);
557 ltx->SetTextSize(dy-.01);
558 lines->Add(ltx);
559
560 y -= dy;
561 ltx = new TLatex(x, y, Form("[thresholds: %6.2f, %6.2f]",
562 fELossBadChi2Nu, fELossFkupChi2Nu));
563 ltx->SetTextColor(kGray+3);
564 ltx->SetTextSize(dy-.01);
565 ltx->SetNDC(true);
566 lines->Add(ltx);
567
568 y -= dy;
569 ltx = new TLatex(x, y, Form("Fit range: [%6.2f,%6.2f]", low, high));
570 ltx->SetTextColor(kGray+3);
571 ltx->SetTextSize(dy-.01);
572 ltx->SetNDC(true);
573 lines->Add(ltx);
574
575 for (Int_t i = 0; i < nPar; i++) {
576 if (res->IsParameterFixed(i)) continue;
577 y -= dy;
578 Double_t pv = res->Parameter(i);
579 Double_t pe = res->ParError(i);
580 Double_t rel = (pv == 0 ? 100 : pe / pv);
581 ltx = new TLatex(x, y, Form("#delta%s/%s: %7.3f",
582 res->ParName(i).c_str(),
583 res->ParName(i).c_str(),
584 /*pv, pe,*/ rel));
585 ltx->SetNDC(true);
586 ltx->SetTextColor(color);
587 ltx->SetTextSize(dy-.01);
588 lines->Add(ltx);
589 }
590 TList* lf = hist->GetListOfFunctions();
591 TObject* old = lf->FindObject(lines->GetName());
592 if (old) {
593 lf->Remove(old);
594 delete old;
595 }
596 lf->Add(lines);
597 hist->SetStats(false);
05e5e0c1 598}
1306ba55 599
05e5e0c1 600//__________________________________________________________________
1306ba55 601UShort_t
e0c60e77 602AliFMDQAChecker::CheckRaw(AliRecoParam::EventSpecie_t specie,
05e5e0c1 603 TH1* hist) const
604{
1306ba55 605 Int_t ret = BasicCheck(hist);
606 TString name(hist->GetName());
607 if (name.Contains("readouterrors", TString::kIgnoreCase)) {
608 // Check the mean number of errors per event
609 TH2* roErrors = static_cast<TH2*>(hist);
610 Int_t nY = roErrors->GetNbinsY();
611
e0c60e77 612 TLatex* ltx = new TLatex(.15, .9, Form("Thresholds: %5.2f,%5.2f",
1306ba55 613 fROErrorsBad, fROErrorsFkup));
614 ltx->SetName("thresholds");
615 ltx->SetTextColor(kGray+3);
616 ltx->SetNDC();
617
618 TList* ll = hist->GetListOfFunctions();
619 TObject* old = ll->FindObject(ltx->GetName());
620 if (old) {
621 ll->Remove(old);
622 delete old;
623 }
624 ll->Add(ltx);
625
626 for (Int_t i = 1; i <= 3; i++) {
627 Double_t sum = 0;
628 Int_t cnt = 0;
629 for (Int_t j = 1; j <= nY; j++) {
630 Int_t n = roErrors->GetBinContent(i, j);
631 sum += n * roErrors->GetYaxis()->GetBinCenter(j);
632 cnt += n;
633 }
634 Double_t mean = sum / cnt;
e0c60e77 635 Double_t x = ((i-.5) * (1-0.1-0.1) / 3 + 0.1);
636
637 ltx = new TLatex(x, kROErrorsLabelY, Form("Mean: %6.3f", mean));
1306ba55 638 ltx->SetName(Form("FMD%d", i));
e0c60e77 639 ltx->SetNDC();
1306ba55 640 ltx->SetTextAngle(90);
641 ltx->SetTextColor(kGreen+4);
642 old = ll->FindObject(ltx->GetName());
643 if (old) {
644 ll->Remove(old);
645 delete old;
646 }
647 ll->Add(ltx);
648
649 if (mean > fROErrorsBad) {
650 AliWarningF("Mean of readout errors for FMD%d = %f > %f (%f)",
651 i, mean, fROErrorsBad, fROErrorsFkup);
652 ret++;
653 ltx->SetTextColor(kOrange+2);
654 if (mean > fROErrorsFkup) {
655 ret++;
656 ltx->SetTextColor(kRed+2);
657 }
658 }
659 }
660 }
661 else if (name.Contains("eloss",TString::kIgnoreCase)) {
662 // Try to fit a function to the histogram
663 if (hist->GetEntries() < 1000) return ret;
e0c60e77 664 if (specie == AliRecoParam::kCosmic ||
665 specie == AliRecoParam::kCalib) return ret;
1306ba55 666
667 Double_t xMin = hist->GetXaxis()->GetXmin();
668 Double_t xMax = hist->GetXaxis()->GetXmax();
669
670 hist->GetXaxis()->SetRangeUser(fELossLowCut, xMax);
671 Int_t bMaxY = hist->GetMaximumBin();
672 Double_t xMaxY = hist->GetXaxis()->GetBinCenter(bMaxY);
673 Double_t rms = hist->GetRMS();
674 Double_t low = hist->GetXaxis()->GetBinCenter(bMaxY-4);
675 hist->GetXaxis()->SetRangeUser(0.2, xMaxY+(fELossNRMS+1)*rms);
676 rms = hist->GetRMS();
677 hist->GetXaxis()->SetRange(0,-1);
678 TF1* func = makeLandauGaus(name);
679 func->SetParameter(1, xMaxY);
680 func->SetLineColor(kGreen+4);
681 // func->SetLineStyle(2);
682 Double_t high = xMax; // xMaxY+fELossNRMS*rms;
683
684 TFitResultPtr res = hist->Fit(func, "QS", "", low, high);
685
686 Int_t color = func->GetLineColor();
687 UShort_t qual = CheckFit(hist, res, low, high, color);
688
689 // Make sure we save the function in the full range of the histogram
690 func = hist->GetFunction("landauGaus");
691 func->SetRange(xMin, xMax);
692 // func->SetParent(hist);
693 func->Save(xMin, xMax, 0, 0, 0, 0);
694 func->SetLineColor(color);
e0c60e77 695
696 // Now check if this histogram should be cleared or not
697 if (fELossMaxEntries > 0 && hist->GetEntries() > fELossMaxEntries)
698 hist->SetBit(BIT(23));
1306ba55 699 if (qual > 0) {
700 func->SetLineWidth(3);
701 func->SetLineStyle(1);
702 if (qual > 1)
703 func->SetLineWidth(4);
704 }
705 ret += qual;
706 }
707
708 return ret;
05e5e0c1 709}
710//__________________________________________________________________
1306ba55 711UShort_t
05e5e0c1 712AliFMDQAChecker::CheckSim(AliRecoParam::EventSpecie_t /* specie*/,
713 TH1* hist) const
714{
1306ba55 715 return BasicCheck(hist);
05e5e0c1 716}
717//__________________________________________________________________
1306ba55 718UShort_t
05e5e0c1 719AliFMDQAChecker::CheckRec(AliRecoParam::EventSpecie_t /* specie*/,
720 TH1* hist) const
721{
1306ba55 722 return BasicCheck(hist);
05e5e0c1 723}
724
c9dd1c4d 725//__________________________________________________________________
fa5a224b 726void AliFMDQAChecker::Check(Double_t* rv,
727 AliQAv1::ALITASK_t what,
728 TObjArray** list,
729 const AliDetectorRecoParam* /*t*/)
730{
731 //
732 // Member function called to do the actual checking
733 //
734 // Parameters:
735 // rv Array of return values.
736 // what What to check
737 // list Array of arrays of histograms. There's one arrat for
738 // each 'specie'
739 // t Reconstruction parameters - not used.
740 //
1306ba55 741 // The bounds defined for RV are
742 //
743 // FATAL: [-1, 0.0]
744 // ERROR: (0.0, 0.002]
745 // WARNING: (0.002,0.5]
746 // INFO: (0.5, 1.0]
747 //
fa5a224b 748 // Double_t* rv = new Double_t[AliRecoParam::kNSpecies] ;
1306ba55 749
750 if (!fDidExternal) ProcessExternalParams();
751
6ceca4ef 752 for (Int_t specie = 0 ; specie < AliRecoParam::kNSpecies ; specie++) {
83dbc5b8 753 // Int_t count = 0;
fa5a224b 754 rv[specie] = 0.;
755
1706c710 756 if (!AliQAv1::Instance()->IsEventSpecieSet(specie) )
6ceca4ef 757 continue ;
758
759 if(!list[specie]) continue;
760
a3e1fdcc 761 TH1* hist = 0;
762 Int_t nHist = list[specie]->GetEntriesFast();
763
764 // Find the status histogram if any
765 TH2* status = 0;
766 Int_t istatus = AliFMDQADataMakerRec::GetHalfringIndex(4, 'i', 0, 0);
767 if (istatus < nHist)
768 status = dynamic_cast<TH2*>(list[specie]->At(istatus));
769
770 UShort_t ret = 0;
584d4c54 771 for(Int_t i= 0; i< nHist; i++) {
05e5e0c1 772 if (!(hist = static_cast<TH1*>(list[specie]->At(i)))) continue;
a3e1fdcc 773 if (hist == status) continue;
774
1306ba55 775 Int_t qual = CheckOne(what, AliRecoParam::ConvertIndex(specie), hist);
776 hist->SetUniqueID(Quality2Bit(qual));
777 ret += qual;
a3e1fdcc 778
779 if (!status) continue;
780
781 // AliFMDQADataMakerRec::GetHalfringFromIndex(i, d, r, b, mm);
782 // AliWarningF("Got index %2d -> halfring FMD%d%c %s", i, d, r,
783 // hist->GetName());
784 TString nme(hist->GetName());
785 Char_t cD = nme[nme.Length()-2];
786 Char_t cR = nme[nme.Length()-1];
787 Int_t xbin = 0;
788 switch (cD) {
789 case '1': xbin = 1; break;
790 case '2': xbin = 2 + ((cR == 'i' || cR == 'I') ? 0 : 1); break;
791 case '3': xbin = 4 + ((cR == 'i' || cR == 'I') ? 0 : 1); break;
792 }
793 if (xbin == 0) continue;
794 status->Fill(xbin, qual);
795
fa5a224b 796 } // for (int i ...)
1306ba55 797 rv[specie] = ret;
798 // if (ret > kWhatTheFk) rv[specie] = fLowTestValue[AliQAv1::kFATAL];
799 // else if (ret > kBad) rv[specie] = fUpTestValue[AliQAv1::kERROR];
800 // else if (ret > kProblem) rv[specie] = fUpTestValue[AliQAv1::kWARNING];
801 // else rv[specie] = fUpTestValue[AliQAv1::kINFO];
802 AliDebugF(3, "Combined sum is %d -> %f", ret, rv[specie]);
803
a3e1fdcc 804 if (status) {
805 Int_t qual = 0;
806 for (Int_t i = 1; i < status->GetXaxis()->GetNbins(); i++) {
807 if (status->GetBinContent(i, 3) > 1) qual++;
808 if (status->GetBinContent(i, 4) > 0) qual++;
809 }
810 status->SetUniqueID(Quality2Bit(qual));
811 TPaveText* text = new TPaveText(.6, .8, .95, .95, "brNDC");
812 Int_t bg = kGreen-10;
813 Int_t fg = kBlack;
814 TString msg = "OK";
815 if (qual >= kWhatTheFk) { bg = kRed+1; fg = kWhite; msg = "Argh!"; }
816 else if (qual >= kBad) { bg = kRed-3; fg = kWhite; msg = "Bad"; }
817 else if (qual >= kProblem) { bg = kOrange-4; msg = "Warning"; }
818 text->AddText(msg);
819 text->SetTextFont(62);
820 text->SetTextColor(fg);
821 text->SetFillColor(bg);
822
823 TList* ll = status->GetListOfFunctions();
824 TObject* old = ll->FindObject(text->GetName());
825 if (old) {
826 ll->Remove(old);
827 delete old;
828 }
829 ll->Add(text);
830 }
83dbc5b8 831 // if (count != 0) rv[specie] /= count;
6ceca4ef 832 }
fa5a224b 833 // return rv;
6ceca4ef 834}
835
05e5e0c1 836namespace {
837 Int_t CheckForLog(TAxis* axis,
838 TVirtualPad* pad,
839 Int_t xyz)
840 {
841 Int_t ret = 0;
842 TString t(axis->GetTitle());
843 if (!t.Contains("[log]", TString::kIgnoreCase)) return 0;
844 t.ReplaceAll("[log]", "");
845 switch (xyz) {
846 case 1: pad->SetLogx(); ret |= 0x1; break;
847 case 2: pad->SetLogy(); ret |= 0x2; break;
848 case 3: pad->SetLogz(); ret |= 0x4; break;
849 }
850 axis->SetTitle(t);
851 return ret;
852 }
9eb9c521 853 void RestoreLog(TAxis* axis, Bool_t log)
854 {
855 if (!log) return;
856 TString t(axis->GetTitle());
857 t.Append("[log]");
858 axis->SetTitle(t);
859 }
05e5e0c1 860}
6ceca4ef 861
0f666f27 862namespace {
863 void FindMinMax(TH1* h, Double_t& min, Double_t& max)
864 {
865 Double_t tmin = 1e9;
866 Double_t tmax = 0;
867 for (Int_t i = 1; i <= h->GetNbinsX(); i++) {
868 Double_t c = h->GetBinContent(i);
869 if (c < 1e-8) continue;
870 tmin = TMath::Min(tmin, c);
871 tmax = TMath::Max(tmax, c);
872 }
873 min = tmin;
874 max = tmax;
875 }
876}
a3e1fdcc 877
878namespace {
879 Int_t GetHalfringPad(TH1* h) {
880 TString nme(h->GetName());
881 Char_t cD = nme[nme.Length()-2];
882 Char_t cR = nme[nme.Length()-1];
883 Int_t xbin = 0;
884 switch (cD) {
885 case '1': xbin = 1; break;
886 case '2': xbin = ((cR == 'i' || cR == 'I') ? 2 : 5); break;
887 case '3': xbin = ((cR == 'i' || cR == 'I') ? 3 : 6); break;
888 }
889 return xbin;
890 }
891}
892
1706c710 893//____________________________________________________________________________
894void
895AliFMDQAChecker::MakeImage(TObjArray** list,
896 AliQAv1::TASKINDEX_t task,
897 AliQAv1::MODE_t mode)
898{
899 // makes the QA image for sim and rec
900 //
901 // Parameters:
902 // task What to check
903 // list Array of arrays of histograms. There's one array for
904 // each 'specie'
905 // t Reconstruction parameters - not used.
906 //
907 Int_t nImages = 0 ;
908 Double_t max = 0;
909 Double_t min = 10000;
9eb9c521 910
911 // Loop over all species
1706c710 912 for (Int_t specie = 0 ; specie < AliRecoParam::kNSpecies ; specie++) {
05e5e0c1 913 AliRecoParam::EventSpecie_t spe = AliRecoParam::ConvertIndex(specie);
914 if (!AliQAv1::Instance(AliQAv1::GetDetIndex(GetName()))
915 ->IsEventSpecieSet(spe))
544ed74f 916 continue;
9eb9c521 917
918 // If nothing is defined for this specie, go on.
05e5e0c1 919 if(!list[specie] || list[specie]->GetEntriesFast() == 0) continue;
1706c710 920
9eb9c521 921 // Loop over the histograms and figure out how many histograms we
922 // have and the min/max
05e5e0c1 923 TH1* hist = 0;
1706c710 924 Int_t nHist = list[specie]->GetEntriesFast();
925 for(Int_t i= 0; i< nHist; i++) {
926 hist = static_cast<TH1F*>(list[specie]->At(i));
ae559def 927 if (hist && hist->TestBit(AliQAv1::GetImageBit())) {
1706c710 928 nImages++;
05e5e0c1 929 TString name(hist->GetName());
a3e1fdcc 930 if (name.Contains("readouterrors", TString::kIgnoreCase) ||
931 name.Contains("status", TString::kIgnoreCase)) continue;
0f666f27 932
933 // Double_t hMax = hist->GetMaximum();
05e5e0c1 934 // hist->GetBinContent(hist->GetMaximumBin());
0f666f27 935 // Double_t hMin = hist->GetMinimum();
05e5e0c1 936 // hist->GetBinContent(hist->GetMinimumBin());
0f666f27 937 Double_t hMax, hMin;
938 FindMinMax(hist, hMin, hMax);
05e5e0c1 939 max = TMath::Max(max, hMax);
940 min = TMath::Min(min, hMin);
1306ba55 941 // AliInfoF("Min/max of %40s: %f/%f, global -> %f/%f",
942 // hist->GetName(), hMin, hMax, min, max);
1706c710 943 }
944 }
945 break ;
946 }
1306ba55 947 // AliInfoF("Global min/max=%f/%f", min, max);
9558fc76 948 min = TMath::Max(1e-1, min);
949 max = TMath::Max(1e5, max);
1706c710 950
9eb9c521 951 // IF no images, go on.
1706c710 952 if (nImages == 0) {
953 AliDebug(AliQAv1::GetQADebugLevel(),
954 Form("No histogram will be plotted for %s %s\n", GetName(),
955 AliQAv1::GetTaskName(task).Data()));
956 return;
957 }
958
959 AliDebug(AliQAv1::GetQADebugLevel(),
960 Form("%d histograms will be plotted for %s %s\n",
961 nImages, GetName(), AliQAv1::GetTaskName(task).Data()));
05e5e0c1 962 gStyle->SetOptStat(0);
9eb9c521 963
964 // Again loop over species and draw a canvas
1706c710 965 for (Int_t specie = 0 ; specie < AliRecoParam::kNSpecies ; specie++) {
05e5e0c1 966 if (!AliQAv1::Instance(AliQAv1::GetDetIndex(GetName()))
967 ->IsEventSpecieSet(specie)) continue;
1706c710 968
9eb9c521 969 // if Nothing here, go on
970 if(!list[specie] || list[specie]->GetEntries() <= 0 ||
971 nImages <= 0) continue;
972
9558fc76 973 // Form the title
1706c710 974 const Char_t * title = Form("QA_%s_%s_%s", GetName(),
975 AliQAv1::GetTaskName(task).Data(),
976 AliRecoParam::GetEventSpecieName(specie));
9eb9c521 977 if (!fImage[specie]) fImage[specie] = new TCanvas(title, title) ;
1706c710 978 fImage[specie]->Clear() ;
979 fImage[specie]->SetTitle(title) ;
980 fImage[specie]->cd() ;
981
9eb9c521 982 // Put something in the canvas - even if empty
1706c710 983 TPaveText someText(0.015, 0.015, 0.98, 0.98) ;
984 someText.AddText(title) ;
9eb9c521 985 someText.SetFillColor(0);
986 someText.SetFillStyle(0);
987 someText.SetBorderSize(0);
988 someText.SetTextColor(kRed+1);
1706c710 989 someText.Draw() ;
05e5e0c1 990 TString outName(Form("%s%s%d.%s", AliQAv1::GetImageFileName(),
991 AliQAv1::GetModeName(mode),
992 AliQAChecker::Instance()->GetRunNumber(),
993 AliQAv1::GetImageFileFormat()));
994 fImage[specie]->Print(outName, "ps") ;
1706c710 995
9eb9c521 996 // Now set some parameters on the canvas
997 fImage[specie]->Clear();
998 fImage[specie]->SetTopMargin(0.10);
999 fImage[specie]->SetBottomMargin(0.15);
1000 fImage[specie]->SetLeftMargin(0.15);
1001 fImage[specie]->SetRightMargin(0.05);
1002
1003 // Put title on top
1004 const char* topT = Form("Mode: %s, Task: %s, Specie: %s, Run: %d",
1005 AliQAv1::GetModeName(mode),
1006 AliQAv1::GetTaskName(task).Data(),
1007 AliRecoParam::GetEventSpecieName(specie),
1008 AliQAChecker::Instance()->GetRunNumber());
1009 TLatex* topText = new TLatex(.5, .99, topT);
1010 topText->SetTextAlign(23);
1011 topText->SetTextSize(.038);
1012 topText->SetTextFont(42);
1013 topText->SetTextColor(kBlue+3);
1014 topText->SetNDC();
1015 topText->Draw();
a3e1fdcc 1016
1017 // Find the status histogram if any
1018 TH2* status = 0;
1019 Int_t istatus = AliFMDQADataMakerRec::GetHalfringIndex(4, 'i', 0, 0);
1020 if (istatus < list[specie]->GetEntriesFast())
1021 status = dynamic_cast<TH2*>(list[specie]->At(istatus));
1022
9eb9c521 1023 // Divide canvas
9558fc76 1024 // if (fDoScale)
a3e1fdcc 1025 TVirtualPad* plots = fImage[specie];
1026 TVirtualPad* stat = 0;
1027 if (status) {
1028 // AliWarning("Drawing plots sub-pad");
1029 TPad* pM = new TPad("plots", "Plots Pad", 0, .2, 1., .9, 0, 0);
1030 fImage[specie]->cd();
1031 pM->Draw();
1032 plots = pM;
1033 // AliWarning("Drawing status sub-pad");
1034 TPad* pS = new TPad("status", "Status Pad", 0, 0, 1., .2, 0, 0);
1035 fImage[specie]->cd();
1036 pS->Draw();
1037 pS->SetLogz();
1038 stat = pS;
1039 // status->DrawCopy("colz");
1040 }
1041 // AliWarningF("fImage[specie]=%p, plots=%p", fImage[specie], plots);
1042 // plots->cd();
1043 Int_t nx = 3;
1044 Int_t ny = (nImages + .5) / nx;
1045 plots->Divide(nx, ny, 0, 0);
9558fc76 1046 // else fImage[specie]->Divide(nx, ny);
1706c710 1047
1048
9eb9c521 1049 // Loop over histograms
05e5e0c1 1050 TH1* hist = 0;
1706c710 1051 Int_t nHist = list[specie]->GetEntriesFast();
1706c710 1052 for (Int_t i = 0; i < nHist; i++) {
05e5e0c1 1053 hist = static_cast<TH1*>(list[specie]->At(i));
1054 if (!hist || !hist->TestBit(AliQAv1::GetImageBit())) continue;
a3e1fdcc 1055 if (hist == status) continue;
1056 TString name(hist->GetName());
1057 Bool_t isROE = name.Contains("readouterrors", TString::kIgnoreCase);
9eb9c521 1058
1059 // Go to sub-pad
a3e1fdcc 1060 TVirtualPad* pad = 0;
1061 if (isROE) pad = plots->cd(4);
1062 else pad = plots->cd(GetHalfringPad(hist));
1063
9eb9c521 1064 pad->SetRightMargin(0.01);
9558fc76 1065 if (!fDoScale) {
1066 pad->SetLeftMargin(0.10);
1067 pad->SetBottomMargin(0.10);
1068 }
9eb9c521 1069
1070 // Check for log scale
05e5e0c1 1071 Int_t logOpts = 0;
1072 logOpts |= CheckForLog(hist->GetXaxis(), pad, 1);
1073 logOpts |= CheckForLog(hist->GetYaxis(), pad, 2);
1074 logOpts |= CheckForLog(hist->GetZaxis(), pad, 3);
05e5e0c1 1075
9eb9c521 1076 // Figure out special cases
1306ba55 1077 TString opt("");
a3e1fdcc 1078 if (isROE) {
05e5e0c1 1079 pad->SetRightMargin(0.15);
1080 pad->SetBottomMargin(0.10);
9558fc76 1081 // pad->SetTopMargin(0.02);
05e5e0c1 1082 opt="COLZ";
1083 }
1084 else {
9eb9c521 1085 pad->SetGridx();
1086 pad->SetGridy();
9558fc76 1087 if (fDoScale) {
1088 hist->SetMinimum(min);
1089 hist->SetMaximum(max);
1090 }
1091 else {
1092 hist->SetMinimum();
1093 hist->SetMaximum();
1094 }
05e5e0c1 1095 }
9eb9c521 1096 // Draw (As a copy)
05e5e0c1 1097 hist->DrawCopy(opt);
1306ba55 1098
9eb9c521 1099 // Special cases
1100 if (name.Contains("readouterrors", TString::kIgnoreCase)) {
1306ba55 1101#if 0
9eb9c521 1102 for (Int_t kk = 1; kk <= 3; kk++) {
1103 TH1* proj = static_cast<TH2*>(hist)->ProjectionY("",kk,kk);
1306ba55 1104 Double_t m = proj->GetMean();
1105 TLatex* l = new TLatex(kk, 30, Form("Mean: %f", m));
1106 l->SetTextAngle(90);
1107 l->SetTextColor(m > 10 ? kRed+1 : m > .7 ? kOrange+2 :kGreen+2);
1108 l->Draw();
1109 }
1110#endif
9eb9c521 1111 }
1112 else {
1113 gStyle->SetOptTitle(0);
1114 TPad* insert = new TPad("insert", "Zoom",
a3e1fdcc 1115 .5,.5, .99, .95, 0, 0, 0);
9eb9c521 1116 insert->SetTopMargin(0.01);
1117 insert->SetRightMargin(0.01);
1118 insert->SetFillColor(0);
1119 insert->SetBorderSize(1);
1120 insert->SetBorderMode(0);
1121 insert->Draw();
1122 insert->cd();
1123 if (logOpts & 0x1) insert->SetLogx();
1124 if (logOpts & 0x2) insert->SetLogy();
1125 if (logOpts & 0x4) insert->SetLogz();
0f666f27 1126 hist->GetXaxis()->SetRange(1, hist->GetNbinsX()/8);
1127 TH1* copy = hist->DrawCopy(opt);
1128 copy->GetXaxis()->SetNdivisions(408, false);
9eb9c521 1129 // Restore full range
0f666f27 1130 hist->GetXaxis()->SetRange(0, 0);
9eb9c521 1131 gStyle->SetOptTitle(1);
1132 }
05e5e0c1 1133 pad->cd();
9eb9c521 1134 // Possibly restore the log options
1135 RestoreLog(hist->GetXaxis(), logOpts & 0x1);
1136 RestoreLog(hist->GetYaxis(), logOpts & 0x2);
1137 RestoreLog(hist->GetZaxis(), logOpts & 0x4);
1706c710 1138 }
a3e1fdcc 1139 if (status && stat) {
1140 stat->cd();
1141 status->DrawCopy("BOX TEXT");
1142 }
0f666f27 1143 // Print to a post-script file
05e5e0c1 1144 fImage[specie]->Print(outName, "ps");
a3e1fdcc 1145 if (AliDebugLevel() > 1)
1146 fImage[specie]->Print(Form("%s_%d.png",
1147 AliRecoParam::GetEventSpecieName(specie),
1148 AliQAChecker::Instance()->GetRunNumber()));
1706c710 1149 }
1150}
c9dd1c4d 1151
1152//__________________________________________________________________
1153//
1154// EOF
1155//