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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> |
05e5e0c1 | 38 | #include <TStyle.h> |
9eb9c521 | 39 | #include <TLatex.h> |
1306ba55 | 40 | #include <TFitResult.h> |
41 | #include <TParameter.h> | |
42 | #include <TMacro.h> | |
a3e1fdcc | 43 | #include <TPaveText.h> |
c9dd1c4d | 44 | |
45 | // --- AliRoot header files --- | |
46 | #include "AliLog.h" | |
4e25ac79 | 47 | #include "AliQAv1.h" |
c9dd1c4d | 48 | #include "AliQAChecker.h" |
49 | #include "AliFMDQAChecker.h" | |
a3e1fdcc | 50 | #include "AliFMDQADataMakerRec.h" |
6ceca4ef | 51 | #include "AliRecoParam.h" |
1306ba55 | 52 | #include <AliCDBManager.h> |
53 | #include <AliCDBEntry.h> | |
54 | #include <AliCDBId.h> | |
55 | #include <AliQAThresholds.h> | |
c9dd1c4d | 56 | |
57 | ClassImp(AliFMDQAChecker) | |
58 | #if 0 | |
59 | ; // This is for Emacs! - do not delete | |
60 | #endif | |
05e5e0c1 | 61 | |
1306ba55 | 62 | namespace { |
63 | void addFitsMacro(TList* l) { | |
64 | TMacro* m = new TMacro("fits"); | |
65 | m->AddLine("void fits() {"); | |
66 | m->AddLine(" if (!gPad) { Printf(\"No gPad\"); return; }"); | |
67 | m->AddLine(" TList* lp = gPad->GetListOfPrimitives();"); | |
68 | m->AddLine(" if (!lp) return;"); | |
69 | m->AddLine(" TObject* po = 0;"); | |
70 | m->AddLine(" TIter next(lp);"); | |
71 | m->AddLine(" while ((po = next())) {"); | |
72 | m->AddLine(" if (!po->IsA()->InheritsFrom(TH1::Class())) continue;"); | |
73 | m->AddLine(" TH1* htmp = dynamic_cast<TH1*>(po);"); | |
74 | m->AddLine(" TList* lf = htmp->GetListOfFunctions();"); | |
75 | m->AddLine(" TObject* pso = (lf ? lf->FindObject(\"stats\") : 0);"); | |
76 | m->AddLine(" if (!pso) continue;"); | |
77 | m->AddLine(" TPaveStats* ps = static_cast<TPaveStats*>(pso);"); | |
78 | m->AddLine(" ps->SetOptFit(111);"); | |
79 | m->AddLine(" UShort_t qual = htmp->GetUniqueID();"); | |
80 | m->AddLine(" ps->SetFillColor(qual >= 3 ? kRed-4 : qual >= 2 ? kOrange-4 : qual >= 1 ? kYellow-4 : kGreen-4);"); | |
81 | // m->AddLine(" lf->Remove(lf->FindObject(\"fits\"));"); | |
82 | // m->AddLine(" ps->Paint();"); | |
83 | m->AddLine(" break;"); | |
84 | m->AddLine(" }"); | |
85 | // m->AddLine(" gPad->Modified(); gPad->Update(); gPad->cd();"); | |
86 | m->AddLine("}"); | |
87 | ||
88 | TObject* old = l->FindObject(m->GetName()); | |
89 | if (old) l->Remove(old); | |
90 | l->Add(m); | |
91 | } | |
92 | ||
e0c60e77 | 93 | const Double_t kROErrorsLabelY = .30; |
1306ba55 | 94 | |
95 | const Int_t kConvolutionSteps = 100; | |
96 | const Double_t kConvolutionNSigma = 5; | |
97 | ||
98 | // | |
99 | // The shift of the most probable value for the ROOT function TMath::Landau | |
100 | // | |
101 | const Double_t kMpShift = -0.22278298; | |
102 | // | |
103 | // Integration normalisation | |
104 | // | |
105 | const Double_t kInvSq2Pi = 1. / TMath::Sqrt(2*TMath::Pi()); | |
106 | ||
107 | Double_t landau(Double_t x, Double_t delta, Double_t xi) | |
108 | { | |
109 | // | |
110 | // Calculate the shifted Landau | |
111 | // @f[ | |
112 | // f'_{L}(x;\Delta,\xi) = f_L(x;\Delta+0.22278298\xi) | |
113 | // @f] | |
114 | // | |
115 | // where @f$ f_{L}@f$ is the ROOT implementation of the Landau | |
116 | // distribution (known to have @f$ \Delta_{p}=-0.22278298@f$ for | |
117 | // @f$\Delta=0,\xi=1@f$. | |
118 | // | |
119 | // Parameters: | |
120 | // x Where to evaluate @f$ f'_{L}@f$ | |
121 | // delta Most probable value | |
122 | // xi The 'width' of the distribution | |
123 | // | |
124 | // Return: | |
125 | // @f$ f'_{L}(x;\Delta,\xi) @f$ | |
126 | // | |
127 | return TMath::Landau(x, delta - xi * kMpShift, xi); | |
128 | } | |
129 | Double_t landauGaus(Double_t x, Double_t delta, Double_t xi, | |
130 | Double_t sigma, Double_t sigmaN) | |
131 | { | |
132 | // | |
133 | // Calculate the value of a Landau convolved with a Gaussian | |
134 | // | |
135 | // @f[ | |
136 | // f(x;\Delta,\xi,\sigma') = \frac{1}{\sigma' \sqrt{2 \pi}} | |
137 | // \int_{-\infty}^{+\infty} d\Delta' f'_{L}(x;\Delta',\xi) | |
138 | // \exp{-\frac{(\Delta-\Delta')^2}{2\sigma'^2}} | |
139 | // @f] | |
140 | // | |
141 | // where @f$ f'_{L}@f$ is the Landau distribution, @f$ \Delta@f$ | |
142 | // the energy loss, @f$ \xi@f$ the width of the Landau, and @f$ | |
143 | // \sigma'^2=\sigma^2-\sigma_n^2 @f$. Here, @f$\sigma@f$ is the | |
144 | // variance of the Gaussian, and @f$\sigma_n@f$ is a parameter | |
145 | // modelling noise in the detector. | |
146 | // | |
147 | // Note that this function uses the constants kConvolutionSteps and | |
148 | // kConvolutionNSigma | |
149 | // | |
150 | // References: | |
151 | // - <a href="http://dx.doi.org/10.1016/0168-583X(84)90472-5">Nucl.Instrum.Meth.B1:16</a> | |
152 | // - <a href="http://dx.doi.org/10.1103/PhysRevA.28.615">Phys.Rev.A28:615</a> | |
153 | // - <a href="http://root.cern.ch/root/htmldoc/tutorials/fit/langaus.C.html">ROOT implementation</a> | |
154 | // | |
155 | // Parameters: | |
156 | // x where to evaluate @f$ f@f$ | |
157 | // delta @f$ \Delta@f$ of @f$ f(x;\Delta,\xi,\sigma')@f$ | |
158 | // xi @f$ \xi@f$ of @f$ f(x;\Delta,\xi,\sigma')@f$ | |
159 | // sigma @f$ \sigma@f$ of @f$\sigma'^2=\sigma^2-\sigma_n^2 @f$ | |
160 | // sigma_n @f$ \sigma_n@f$ of @f$\sigma'^2=\sigma^2-\sigma_n^2 @f$ | |
161 | // | |
162 | // Return: | |
163 | // @f$ f@f$ evaluated at @f$ x@f$. | |
164 | // | |
165 | Double_t deltap = delta - xi * kMpShift; | |
166 | Double_t sigma2 = sigmaN*sigmaN + sigma*sigma; | |
167 | Double_t sigma1 = sigmaN == 0 ? sigma : TMath::Sqrt(sigma2); | |
168 | Double_t xlow = x - kConvolutionNSigma * sigma1; | |
169 | Double_t xhigh = x + kConvolutionNSigma * sigma1; | |
170 | Double_t step = (xhigh - xlow) / kConvolutionSteps; | |
171 | Double_t sum = 0; | |
172 | ||
173 | for (Int_t i = 0; i <= kConvolutionSteps/2; i++) { | |
174 | Double_t x1 = xlow + (i - .5) * step; | |
175 | Double_t x2 = xhigh - (i - .5) * step; | |
176 | ||
177 | sum += TMath::Landau(x1, deltap, xi, kTRUE) * TMath::Gaus(x, x1, sigma1); | |
178 | sum += TMath::Landau(x2, deltap, xi, kTRUE) * TMath::Gaus(x, x2, sigma1); | |
179 | } | |
180 | return step * sum * kInvSq2Pi / sigma1; | |
181 | } | |
182 | ||
183 | // | |
184 | // Utility function to use in TF1 defintition | |
185 | // | |
186 | Double_t landauGaus1(Double_t* xp, Double_t* pp) | |
187 | { | |
188 | Double_t x = xp[0]; | |
189 | Double_t constant = pp[0]; | |
190 | Double_t delta = pp[1]; | |
191 | Double_t xi = pp[2]; | |
192 | Double_t sigma = pp[3]; | |
193 | Double_t sigmaN = pp[4]; | |
194 | ||
195 | return constant * landauGaus(x, delta, xi, sigma, sigmaN); | |
196 | } | |
197 | ||
198 | //____________________________________________________________________ | |
199 | TF1* makeLandauGaus(const char* , | |
200 | Double_t c=1, | |
201 | Double_t delta=.5, Double_t xi=0.07, | |
202 | Double_t sigma=.1, Double_t sigmaN=-1, | |
203 | Double_t xmin=0, Double_t xmax=15) | |
204 | { | |
205 | // | |
206 | // Generate a TF1 object of @f$ f_I@f$ | |
207 | // | |
208 | // Parameters: | |
209 | // c Constant | |
210 | // delta @f$ \Delta@f$ | |
211 | // xi @f$ \xi_1@f$ | |
212 | // sigma @f$ \sigma_1@f$ | |
213 | // sigma_n @f$ \sigma_n@f$ | |
214 | // xmin Least value of range | |
215 | // xmax Largest value of range | |
216 | // | |
217 | // Return: | |
218 | // Newly allocated TF1 object | |
219 | // | |
220 | Int_t npar = 5; | |
221 | TF1* func = new TF1("landauGaus", | |
222 | &landauGaus1,xmin,xmax,npar); | |
223 | // func->SetLineStyle(((i-2) % 10)+2); // start at dashed | |
224 | func->SetLineColor(kBlack); | |
225 | func->SetLineWidth(2); | |
226 | func->SetNpx(500); | |
227 | func->SetParNames("C","#Delta_{p}","#xi", "#sigma", "#sigma_{n}"); | |
228 | ||
229 | // Set the initial parameters from the seed fit | |
230 | func->SetParameter(0, c); | |
231 | func->SetParameter(1, delta); | |
232 | func->SetParameter(2, xi); | |
233 | func->SetParameter(3, sigma); | |
234 | func->SetParameter(4, sigmaN); | |
235 | ||
236 | func->SetParLimits(1, 0, xmax); | |
237 | func->SetParLimits(2, 0, xmax); | |
238 | func->SetParLimits(3, 0.01, 0.4); | |
239 | ||
240 | if (sigmaN < 0) func->FixParameter(4, 0); | |
241 | else func->SetParLimits(4, 0, xmax); | |
242 | ||
243 | return func; | |
244 | } | |
245 | } | |
246 | ||
247 | //__________________________________________________________________ | |
248 | AliFMDQAChecker::AliFMDQAChecker() | |
249 | : AliQACheckerBase("FMD","FMD Quality Assurance Checker") , | |
250 | fDoScale(false), | |
251 | fDidExternal(false), | |
252 | fShowFitResults(true), | |
253 | fELossLowCut(0.2), | |
254 | fELossNRMS(3), | |
255 | fELossBadChi2Nu(10), | |
256 | fELossFkupChi2Nu(100), | |
257 | fELossMinEntries(1000), | |
e0c60e77 | 258 | fELossMaxEntries(-1), |
1306ba55 | 259 | fELossGoodParError(0.1), |
260 | fROErrorsBad(0.3), | |
261 | fROErrorsFkup(0.5) | |
262 | { | |
263 | } | |
264 | ||
265 | //__________________________________________________________________ | |
266 | void | |
267 | AliFMDQAChecker::ProcessExternalParams() | |
268 | { | |
269 | ProcessExternalParam("ELossLowCut", fELossLowCut); | |
270 | ProcessExternalParam("ELossNRMS", fELossNRMS); | |
271 | ProcessExternalParam("ELossBadChi2Nu", fELossBadChi2Nu); | |
272 | ProcessExternalParam("ELossFkupChi2Nu", fELossFkupChi2Nu); | |
273 | ProcessExternalParam("ELossGoodParError", fELossGoodParError); | |
274 | ProcessExternalParam("ROErrorsBad", fROErrorsBad); | |
275 | ProcessExternalParam("ROErrorsFkup", fROErrorsFkup); | |
276 | Double_t tmp = 0; | |
277 | ProcessExternalParam("CommonScale", tmp); | |
278 | fDoScale = tmp > 0; | |
279 | ProcessExternalParam("ELossMinEntries", tmp); | |
280 | fELossMinEntries = tmp; | |
e0c60e77 | 281 | ProcessExternalParam("ELossMaxEntries", tmp); |
282 | fELossMaxEntries = tmp; | |
1306ba55 | 283 | |
284 | GetThresholds(); | |
285 | ||
286 | fDidExternal = true; | |
287 | } | |
288 | //__________________________________________________________________ | |
289 | void | |
290 | AliFMDQAChecker::ProcessExternalParam(const char* name, Double_t& v) | |
291 | { | |
292 | TObject* o = fExternParamList->FindObject(name); | |
293 | if (!o) return; | |
294 | TParameter<double>* p = static_cast<TParameter<double>*>(o); | |
295 | v = p->GetVal(); | |
296 | AliDebugF(3, "External parameter: %-20s=%lf", name, v); | |
297 | } | |
298 | ||
299 | //__________________________________________________________________ | |
300 | void | |
301 | AliFMDQAChecker::GetThresholds() | |
302 | { | |
303 | const char* path = "GRP/Calib/QAThresholds"; | |
304 | AliCDBManager* cdbMan = AliCDBManager::Instance(); | |
305 | AliCDBEntry* cdbEnt = cdbMan->Get(path); | |
306 | if (!cdbEnt) { | |
307 | AliWarningF("Failed to get CDB entry at %s", path); | |
308 | return; | |
309 | } | |
310 | ||
311 | TObjArray* cdbObj = static_cast<TObjArray*>(cdbEnt->GetObject()); | |
312 | if (!cdbObj) { | |
313 | AliWarningF("Failed to get CDB object at %s", path); | |
314 | return; | |
315 | } | |
316 | ||
317 | TObject* fmdObj = cdbObj->FindObject("FMD"); | |
318 | if (!fmdObj) { | |
319 | AliWarningF("Failed to get FMD object at from CDB %s", path); | |
320 | return; | |
321 | } | |
322 | ||
323 | AliQAThresholds* qaThr = static_cast<AliQAThresholds*>(fmdObj); | |
324 | Int_t nThr = qaThr->GetSize(); | |
325 | for (Int_t i = 0; i < nThr; i++) { | |
326 | TObject* thr = qaThr->GetThreshold(i); | |
327 | if (!thr) continue; | |
328 | ||
329 | TParameter<double>* d = dynamic_cast<TParameter<double>*>(thr); | |
330 | if (!d) { | |
331 | AliWarningF("Parameter %s not of type double", thr->GetName()); | |
332 | continue; | |
333 | } | |
334 | Double_t val = d->GetVal(); | |
335 | TString name(thr->GetName()); | |
336 | if (name.EqualTo("ELossBadChi2Nu")) fELossBadChi2Nu = val; | |
337 | else if (name.EqualTo("ELossFkupChi2Nu")) fELossFkupChi2Nu = val; | |
338 | else if (name.EqualTo("ELossGoodParError")) fELossGoodParError = val; | |
339 | else if (name.EqualTo("ROErrorsBad")) fROErrorsBad = val; | |
340 | else if (name.EqualTo("ROErrorsFkup")) fROErrorsFkup = val; | |
341 | AliDebugF(3, "Threshold %s=%f", name.Data(), val); | |
342 | } | |
343 | } | |
344 | ||
345 | //__________________________________________________________________ | |
346 | AliQAv1::QABIT_t | |
347 | AliFMDQAChecker::Quality2Bit(UShort_t value) const | |
348 | { | |
349 | AliQAv1::QABIT_t ret = AliQAv1::kINFO; // Assume success | |
350 | if (value >= kWhatTheFk) ret = AliQAv1::kFATAL; | |
351 | else if (value >= kBad) ret = AliQAv1::kERROR; | |
352 | else if (value >= kProblem) ret = AliQAv1::kWARNING; | |
353 | ||
354 | return ret; | |
355 | } | |
356 | ||
357 | //__________________________________________________________________ | |
358 | void | |
359 | AliFMDQAChecker::SetQA(AliQAv1::ALITASK_t index, Double_t* values) const | |
360 | { | |
361 | AliQAv1 * qa = AliQAv1::Instance(index) ; | |
362 | ||
363 | for (Int_t specie = 0 ; specie < AliRecoParam::kNSpecies ; specie++) { | |
364 | // Check if specie is defined | |
365 | if (!qa->IsEventSpecieSet(AliRecoParam::ConvertIndex(specie))) | |
366 | continue ; | |
367 | ||
368 | // No checker is implemented, set all QA to Fatal | |
369 | if (!values) { | |
370 | qa->Set(AliQAv1::kFATAL, specie) ; | |
371 | continue; | |
372 | } | |
373 | ||
374 | UShort_t value = values[specie]; | |
375 | AliQAv1::QABIT_t ret = Quality2Bit(value); | |
376 | ||
377 | qa->Set(ret, AliRecoParam::ConvertIndex(specie)); | |
378 | AliDebugF(3, "Quality of %s: %d -> %d", | |
379 | AliRecoParam::GetEventSpecieName(specie), value, ret); | |
380 | } | |
381 | } | |
382 | ||
383 | //__________________________________________________________________ | |
384 | UShort_t | |
385 | AliFMDQAChecker::BasicCheck(TH1* hist) const | |
386 | { | |
387 | if (hist->GetEntries() <= 0) return kOK; | |
388 | return (hist->GetMean() > 0 ? kOK : kProblem); | |
389 | } | |
390 | ||
05e5e0c1 | 391 | //__________________________________________________________________ |
1306ba55 | 392 | UShort_t |
05e5e0c1 | 393 | AliFMDQAChecker::CheckOne(AliQAv1::ALITASK_t what, |
394 | AliRecoParam::EventSpecie_t specie, | |
395 | TH1* hist) const | |
396 | { | |
397 | if(what == AliQAv1::kESD) return CheckESD(specie, hist); | |
398 | if(what == AliQAv1::kRAW) return CheckRaw(specie, hist); | |
399 | if(what == AliQAv1::kSIM) return CheckSim(specie, hist); | |
400 | if(what == AliQAv1::kREC) return CheckRec(specie, hist); | |
401 | return 0; | |
402 | } | |
403 | //__________________________________________________________________ | |
1306ba55 | 404 | UShort_t |
05e5e0c1 | 405 | AliFMDQAChecker::CheckESD(AliRecoParam::EventSpecie_t /* specie*/, |
406 | TH1* hist) const | |
407 | { | |
1306ba55 | 408 | return BasicCheck(hist); |
409 | } | |
410 | //__________________________________________________________________ | |
411 | UShort_t | |
412 | AliFMDQAChecker::CheckFit(TH1* hist, const TFitResultPtr& res, | |
413 | Double_t low, Double_t high, Int_t& color) const | |
414 | { | |
415 | color = kGreen+4; | |
416 | ||
417 | UShort_t ret = 0; | |
418 | Int_t nPar = res->NPar(); | |
419 | Double_t dy = .06; | |
420 | Double_t x = .2; | |
421 | Double_t y = .9-dy; | |
422 | Double_t chi2 = res->Chi2(); | |
423 | Int_t nu = res->Ndf(); | |
424 | Double_t red = (nu == 0 ? fELossFkupChi2Nu : chi2 / nu); | |
425 | TObjArray* lines = 0; | |
e0c60e77 | 426 | // TLatex* lRed = 0; |
1306ba55 | 427 | TLatex* ltx = 0; |
e0c60e77 | 428 | Int_t chi2Check = 0; |
429 | Double_t chi2Lim = fELossBadChi2Nu; | |
430 | if (red > fELossBadChi2Nu) { // || res->Prob() < .01) { | |
431 | // AliWarningF("Fit gave chi^2/nu=%f/%d=%f>%f (%f)", | |
432 | // res->Chi2(), res->Ndf(), red, fELossBadChi2Nu, | |
433 | // fELossFkupChi2Nu); | |
434 | // res->Print(); | |
435 | chi2Check++; | |
436 | if (red > fELossFkupChi2Nu) { | |
437 | chi2Check++; | |
438 | chi2Lim = fELossFkupChi2Nu; | |
439 | } | |
440 | } | |
441 | ret += chi2Check; | |
442 | ||
1306ba55 | 443 | if (fShowFitResults) { |
444 | lines = new TObjArray(nPar+3); | |
445 | lines->SetName("lines"); | |
446 | lines->SetOwner(true); | |
447 | ||
e0c60e77 | 448 | ltx = new TLatex(x, y, Form("#chi^{2}/#nu: %7.3f %c %6.2f", |
449 | red, chi2Check < 1 ? '<' : '>', | |
450 | chi2Lim)); | |
1306ba55 | 451 | ltx->SetNDC(true); |
e0c60e77 | 452 | ltx->SetTextColor(chi2Check < 1 ? color : |
453 | chi2Check < 2 ? kOrange+2 : kRed+2); | |
454 | // ltx->SetTextColor(color); | |
1306ba55 | 455 | ltx->SetTextSize(dy-.01); |
456 | lines->Add(ltx); | |
e0c60e77 | 457 | // lRed = ltx; |
1306ba55 | 458 | |
459 | Double_t x1 = .85; | |
460 | Double_t y1 = .5; | |
e0c60e77 | 461 | #if 0 |
1306ba55 | 462 | ltx = new TLatex(x1, y1, Form("[thresholds: %6.2f, %6.2f]", |
463 | fELossBadChi2Nu, fELossFkupChi2Nu)); | |
464 | ltx->SetTextColor(kGray+3); | |
465 | ltx->SetTextSize(dy-.01); | |
466 | ltx->SetNDC(true); | |
467 | ltx->SetTextAlign(31); | |
e0c60e77 | 468 | // lines->Add(ltx); |
469 | #endif | |
1306ba55 | 470 | |
e0c60e77 | 471 | // y1 -= dy; |
1306ba55 | 472 | ltx = new TLatex(x1, y1, Form("Fit range: [%6.2f,%6.2f]", low, high)); |
473 | ltx->SetTextColor(kGray+3); | |
474 | ltx->SetTextSize(dy-.01); | |
475 | ltx->SetTextAlign(31); | |
476 | ltx->SetNDC(true); | |
477 | lines->Add(ltx); | |
478 | ||
479 | y1 -= dy; | |
e0c60e77 | 480 | ltx = new TLatex(x1, y1, Form("Entries: %d (%d)", |
481 | Int_t(hist->GetEffectiveEntries()), | |
482 | fELossMaxEntries)); | |
1306ba55 | 483 | ltx->SetTextColor(kGray+3); |
484 | ltx->SetTextSize(dy-.01); | |
485 | ltx->SetTextAlign(31); | |
486 | ltx->SetNDC(true); | |
487 | lines->Add(ltx); | |
488 | } | |
489 | ||
1306ba55 | 490 | // Now check the relative error on the fit parameters |
491 | Int_t parsOk = 0; | |
492 | for (Int_t i = 0; i < nPar; i++) { | |
493 | if (res->IsParameterFixed(i)) continue; | |
e0c60e77 | 494 | Double_t thr = fELossGoodParError; |
1306ba55 | 495 | Double_t pv = res->Parameter(i); |
496 | Double_t pe = res->ParError(i); | |
497 | Double_t rel = (pv == 0 ? 100 : pe / pv); | |
e0c60e77 | 498 | Bool_t ok = (i == 3) || (rel < thr); |
1306ba55 | 499 | if (lines) { |
500 | y -= dy; | |
e0c60e77 | 501 | TString txt(Form("#delta%s/%s: %7.3f ", |
502 | res->ParName(i).c_str(), | |
503 | res->ParName(i).c_str(), | |
504 | /*pv, pe,*/ rel)); | |
505 | if (i != 3) txt.Append(Form("%c %4.2f", ok ? '<' : '>', thr)); | |
506 | else txt.Append("(ignored)"); | |
507 | ltx = new TLatex(x, y, txt); | |
1306ba55 | 508 | ltx->SetNDC(true); |
1306ba55 | 509 | ltx->SetTextSize(dy-.01); |
e0c60e77 | 510 | ltx->SetTextColor(ok ? color : kOrange+2); |
1306ba55 | 511 | lines->Add(ltx); |
512 | } | |
513 | if (i == 3) continue; // Skip sigma | |
e0c60e77 | 514 | if (ok) parsOk++; |
1306ba55 | 515 | } |
516 | if (parsOk > 0) | |
517 | ret = TMath::Max(ret-(parsOk-1),0); | |
518 | if (ret > 1) color = kRed+2; | |
519 | if (ret > 0) color = kOrange+2; | |
520 | ||
521 | TList* lf = hist->GetListOfFunctions(); | |
522 | TObject* old = lf->FindObject(lines->GetName()); | |
523 | if (old) { | |
524 | lf->Remove(old); | |
525 | delete old; | |
526 | } | |
527 | lf->Add(lines); | |
528 | hist->SetStats(false); | |
529 | ||
530 | return ret; | |
531 | } | |
532 | ||
533 | //__________________________________________________________________ | |
534 | void | |
535 | AliFMDQAChecker::AddFitResults(TH1* hist, const TFitResultPtr& res, | |
536 | Int_t color, Double_t low, Double_t high) const | |
537 | { | |
e0c60e77 | 538 | // Obsolete - not used |
1306ba55 | 539 | if (!fShowFitResults) return; |
540 | ||
541 | Int_t nPar = res->NPar(); | |
542 | TObjArray* lines = new TObjArray(nPar+1); | |
543 | lines->SetOwner(kTRUE); | |
544 | lines->SetName("fitResults"); | |
545 | ||
546 | Double_t dy = .06; | |
547 | Double_t x = .2; | |
548 | Double_t y = .9-dy; | |
549 | Double_t chi2 = res->Chi2(); | |
550 | Int_t nu = res->Ndf(); | |
551 | Double_t red = (nu == 0 ? fELossFkupChi2Nu : chi2 / nu); | |
552 | ||
553 | TLatex* ltx = new TLatex(x, y, Form("#chi^{2}/#nu: %7.3f",red)); | |
554 | ltx->SetNDC(true); | |
555 | ltx->SetTextColor(color); | |
556 | ltx->SetTextSize(dy-.01); | |
557 | lines->Add(ltx); | |
558 | ||
559 | y -= dy; | |
560 | ltx = new TLatex(x, y, Form("[thresholds: %6.2f, %6.2f]", | |
561 | fELossBadChi2Nu, fELossFkupChi2Nu)); | |
562 | ltx->SetTextColor(kGray+3); | |
563 | ltx->SetTextSize(dy-.01); | |
564 | ltx->SetNDC(true); | |
565 | lines->Add(ltx); | |
566 | ||
567 | y -= dy; | |
568 | ltx = new TLatex(x, y, Form("Fit range: [%6.2f,%6.2f]", low, high)); | |
569 | ltx->SetTextColor(kGray+3); | |
570 | ltx->SetTextSize(dy-.01); | |
571 | ltx->SetNDC(true); | |
572 | lines->Add(ltx); | |
573 | ||
574 | for (Int_t i = 0; i < nPar; i++) { | |
575 | if (res->IsParameterFixed(i)) continue; | |
576 | y -= dy; | |
577 | Double_t pv = res->Parameter(i); | |
578 | Double_t pe = res->ParError(i); | |
579 | Double_t rel = (pv == 0 ? 100 : pe / pv); | |
580 | ltx = new TLatex(x, y, Form("#delta%s/%s: %7.3f", | |
581 | res->ParName(i).c_str(), | |
582 | res->ParName(i).c_str(), | |
583 | /*pv, pe,*/ rel)); | |
584 | ltx->SetNDC(true); | |
585 | ltx->SetTextColor(color); | |
586 | ltx->SetTextSize(dy-.01); | |
587 | lines->Add(ltx); | |
588 | } | |
589 | TList* lf = hist->GetListOfFunctions(); | |
590 | TObject* old = lf->FindObject(lines->GetName()); | |
591 | if (old) { | |
592 | lf->Remove(old); | |
593 | delete old; | |
594 | } | |
595 | lf->Add(lines); | |
596 | hist->SetStats(false); | |
05e5e0c1 | 597 | } |
1306ba55 | 598 | |
05e5e0c1 | 599 | //__________________________________________________________________ |
1306ba55 | 600 | UShort_t |
e0c60e77 | 601 | AliFMDQAChecker::CheckRaw(AliRecoParam::EventSpecie_t specie, |
05e5e0c1 | 602 | TH1* hist) const |
603 | { | |
1306ba55 | 604 | Int_t ret = BasicCheck(hist); |
605 | TString name(hist->GetName()); | |
606 | if (name.Contains("readouterrors", TString::kIgnoreCase)) { | |
607 | // Check the mean number of errors per event | |
608 | TH2* roErrors = static_cast<TH2*>(hist); | |
609 | Int_t nY = roErrors->GetNbinsY(); | |
610 | ||
e0c60e77 | 611 | TLatex* ltx = new TLatex(.15, .9, Form("Thresholds: %5.2f,%5.2f", |
1306ba55 | 612 | fROErrorsBad, fROErrorsFkup)); |
613 | ltx->SetName("thresholds"); | |
614 | ltx->SetTextColor(kGray+3); | |
615 | ltx->SetNDC(); | |
616 | ||
617 | TList* ll = hist->GetListOfFunctions(); | |
618 | TObject* old = ll->FindObject(ltx->GetName()); | |
619 | if (old) { | |
620 | ll->Remove(old); | |
621 | delete old; | |
622 | } | |
623 | ll->Add(ltx); | |
624 | ||
625 | for (Int_t i = 1; i <= 3; i++) { | |
626 | Double_t sum = 0; | |
627 | Int_t cnt = 0; | |
628 | for (Int_t j = 1; j <= nY; j++) { | |
629 | Int_t n = roErrors->GetBinContent(i, j); | |
630 | sum += n * roErrors->GetYaxis()->GetBinCenter(j); | |
631 | cnt += n; | |
632 | } | |
633 | Double_t mean = sum / cnt; | |
e0c60e77 | 634 | Double_t x = ((i-.5) * (1-0.1-0.1) / 3 + 0.1); |
635 | ||
636 | ltx = new TLatex(x, kROErrorsLabelY, Form("Mean: %6.3f", mean)); | |
1306ba55 | 637 | ltx->SetName(Form("FMD%d", i)); |
e0c60e77 | 638 | ltx->SetNDC(); |
1306ba55 | 639 | ltx->SetTextAngle(90); |
640 | ltx->SetTextColor(kGreen+4); | |
641 | old = ll->FindObject(ltx->GetName()); | |
642 | if (old) { | |
643 | ll->Remove(old); | |
644 | delete old; | |
645 | } | |
646 | ll->Add(ltx); | |
647 | ||
648 | if (mean > fROErrorsBad) { | |
649 | AliWarningF("Mean of readout errors for FMD%d = %f > %f (%f)", | |
650 | i, mean, fROErrorsBad, fROErrorsFkup); | |
651 | ret++; | |
652 | ltx->SetTextColor(kOrange+2); | |
653 | if (mean > fROErrorsFkup) { | |
654 | ret++; | |
655 | ltx->SetTextColor(kRed+2); | |
656 | } | |
657 | } | |
658 | } | |
659 | } | |
660 | else if (name.Contains("eloss",TString::kIgnoreCase)) { | |
661 | // Try to fit a function to the histogram | |
662 | if (hist->GetEntries() < 1000) return ret; | |
e0c60e77 | 663 | if (specie == AliRecoParam::kCosmic || |
664 | specie == AliRecoParam::kCalib) return ret; | |
1306ba55 | 665 | |
666 | Double_t xMin = hist->GetXaxis()->GetXmin(); | |
667 | Double_t xMax = hist->GetXaxis()->GetXmax(); | |
668 | ||
669 | hist->GetXaxis()->SetRangeUser(fELossLowCut, xMax); | |
670 | Int_t bMaxY = hist->GetMaximumBin(); | |
671 | Double_t xMaxY = hist->GetXaxis()->GetBinCenter(bMaxY); | |
672 | Double_t rms = hist->GetRMS(); | |
673 | Double_t low = hist->GetXaxis()->GetBinCenter(bMaxY-4); | |
674 | hist->GetXaxis()->SetRangeUser(0.2, xMaxY+(fELossNRMS+1)*rms); | |
675 | rms = hist->GetRMS(); | |
676 | hist->GetXaxis()->SetRange(0,-1); | |
677 | TF1* func = makeLandauGaus(name); | |
678 | func->SetParameter(1, xMaxY); | |
679 | func->SetLineColor(kGreen+4); | |
680 | // func->SetLineStyle(2); | |
681 | Double_t high = xMax; // xMaxY+fELossNRMS*rms; | |
682 | ||
683 | TFitResultPtr res = hist->Fit(func, "QS", "", low, high); | |
684 | ||
685 | Int_t color = func->GetLineColor(); | |
686 | UShort_t qual = CheckFit(hist, res, low, high, color); | |
687 | ||
688 | // Make sure we save the function in the full range of the histogram | |
689 | func = hist->GetFunction("landauGaus"); | |
690 | func->SetRange(xMin, xMax); | |
691 | // func->SetParent(hist); | |
692 | func->Save(xMin, xMax, 0, 0, 0, 0); | |
693 | func->SetLineColor(color); | |
e0c60e77 | 694 | |
695 | // Now check if this histogram should be cleared or not | |
696 | if (fELossMaxEntries > 0 && hist->GetEntries() > fELossMaxEntries) | |
697 | hist->SetBit(BIT(23)); | |
1306ba55 | 698 | if (qual > 0) { |
699 | func->SetLineWidth(3); | |
700 | func->SetLineStyle(1); | |
701 | if (qual > 1) | |
702 | func->SetLineWidth(4); | |
703 | } | |
704 | ret += qual; | |
705 | } | |
706 | ||
707 | return ret; | |
05e5e0c1 | 708 | } |
709 | //__________________________________________________________________ | |
1306ba55 | 710 | UShort_t |
05e5e0c1 | 711 | AliFMDQAChecker::CheckSim(AliRecoParam::EventSpecie_t /* specie*/, |
712 | TH1* hist) const | |
713 | { | |
1d65d916 | 714 | // |
715 | // Check simulated hits | |
716 | // | |
1306ba55 | 717 | return BasicCheck(hist); |
05e5e0c1 | 718 | } |
719 | //__________________________________________________________________ | |
1306ba55 | 720 | UShort_t |
05e5e0c1 | 721 | AliFMDQAChecker::CheckRec(AliRecoParam::EventSpecie_t /* specie*/, |
722 | TH1* hist) const | |
723 | { | |
1d65d916 | 724 | // |
725 | // Check reconstructed data | |
726 | // | |
1306ba55 | 727 | return BasicCheck(hist); |
05e5e0c1 | 728 | } |
729 | ||
1d65d916 | 730 | //__________________________________________________________________ |
731 | void AliFMDQAChecker::AddStatusPave(TH1* hist, Int_t qual, | |
732 | Double_t xl, Double_t yl, | |
733 | Double_t xh, Double_t yh) const | |
734 | { | |
735 | // | |
736 | // Add a status pave to a plot | |
737 | // | |
738 | if (xh < 0) xh = gStyle->GetStatX(); | |
739 | if (xl < 0) xl = xh - gStyle->GetStatW(); | |
740 | if (yh < 0) yh = gStyle->GetStatY(); | |
741 | if (yl < 0) yl = xl - gStyle->GetStatH(); | |
742 | ||
743 | TPaveText* text = new TPaveText(xl, yl, xh, yh, "brNDC"); | |
744 | Int_t bg = kGreen-10; | |
745 | Int_t fg = kBlack; | |
746 | TString msg = "OK"; | |
747 | if (qual >= kWhatTheFk) { bg = kRed+1; fg = kWhite; msg = "Argh!"; } | |
748 | else if (qual >= kBad) { bg = kRed-3; fg = kWhite; msg = "Bad"; } | |
749 | else if (qual >= kProblem) { bg = kOrange-4; msg = "Warning"; } | |
750 | text->AddText(msg); | |
751 | text->SetTextFont(62); | |
752 | text->SetTextColor(fg); | |
753 | text->SetFillColor(bg); | |
754 | ||
755 | TList* ll = hist->GetListOfFunctions(); | |
756 | TObject* old = ll->FindObject(text->GetName()); | |
757 | if (old) { | |
758 | ll->Remove(old); | |
759 | delete old; | |
760 | } | |
761 | ll->Add(text); | |
762 | } | |
763 | ||
c9dd1c4d | 764 | //__________________________________________________________________ |
fa5a224b | 765 | void AliFMDQAChecker::Check(Double_t* rv, |
766 | AliQAv1::ALITASK_t what, | |
767 | TObjArray** list, | |
768 | const AliDetectorRecoParam* /*t*/) | |
769 | { | |
770 | // | |
771 | // Member function called to do the actual checking | |
772 | // | |
773 | // Parameters: | |
774 | // rv Array of return values. | |
775 | // what What to check | |
776 | // list Array of arrays of histograms. There's one arrat for | |
777 | // each 'specie' | |
778 | // t Reconstruction parameters - not used. | |
779 | // | |
1306ba55 | 780 | // The bounds defined for RV are |
781 | // | |
782 | // FATAL: [-1, 0.0] | |
783 | // ERROR: (0.0, 0.002] | |
784 | // WARNING: (0.002,0.5] | |
785 | // INFO: (0.5, 1.0] | |
786 | // | |
fa5a224b | 787 | // Double_t* rv = new Double_t[AliRecoParam::kNSpecies] ; |
1306ba55 | 788 | |
789 | if (!fDidExternal) ProcessExternalParams(); | |
790 | ||
6ceca4ef | 791 | for (Int_t specie = 0 ; specie < AliRecoParam::kNSpecies ; specie++) { |
83dbc5b8 | 792 | // Int_t count = 0; |
fa5a224b | 793 | rv[specie] = 0.; |
794 | ||
1706c710 | 795 | if (!AliQAv1::Instance()->IsEventSpecieSet(specie) ) |
6ceca4ef | 796 | continue ; |
797 | ||
798 | if(!list[specie]) continue; | |
799 | ||
a3e1fdcc | 800 | TH1* hist = 0; |
801 | Int_t nHist = list[specie]->GetEntriesFast(); | |
802 | ||
803 | // Find the status histogram if any | |
804 | TH2* status = 0; | |
805 | Int_t istatus = AliFMDQADataMakerRec::GetHalfringIndex(4, 'i', 0, 0); | |
806 | if (istatus < nHist) | |
807 | status = dynamic_cast<TH2*>(list[specie]->At(istatus)); | |
808 | ||
809 | UShort_t ret = 0; | |
584d4c54 | 810 | for(Int_t i= 0; i< nHist; i++) { |
05e5e0c1 | 811 | if (!(hist = static_cast<TH1*>(list[specie]->At(i)))) continue; |
a3e1fdcc | 812 | if (hist == status) continue; |
813 | ||
1306ba55 | 814 | Int_t qual = CheckOne(what, AliRecoParam::ConvertIndex(specie), hist); |
815 | hist->SetUniqueID(Quality2Bit(qual)); | |
1d65d916 | 816 | hist->SetStats(0); |
817 | AddStatusPave(hist, qual); | |
1306ba55 | 818 | ret += qual; |
a3e1fdcc | 819 | |
820 | if (!status) continue; | |
821 | ||
1d65d916 | 822 | // Parse out the detector and ring, calculate the bin, and fill |
823 | // status histogram. | |
a3e1fdcc | 824 | TString nme(hist->GetName()); |
825 | Char_t cD = nme[nme.Length()-2]; | |
826 | Char_t cR = nme[nme.Length()-1]; | |
827 | Int_t xbin = 0; | |
828 | switch (cD) { | |
829 | case '1': xbin = 1; break; | |
830 | case '2': xbin = 2 + ((cR == 'i' || cR == 'I') ? 0 : 1); break; | |
831 | case '3': xbin = 4 + ((cR == 'i' || cR == 'I') ? 0 : 1); break; | |
832 | } | |
833 | if (xbin == 0) continue; | |
834 | status->Fill(xbin, qual); | |
835 | ||
fa5a224b | 836 | } // for (int i ...) |
1306ba55 | 837 | rv[specie] = ret; |
838 | // if (ret > kWhatTheFk) rv[specie] = fLowTestValue[AliQAv1::kFATAL]; | |
839 | // else if (ret > kBad) rv[specie] = fUpTestValue[AliQAv1::kERROR]; | |
840 | // else if (ret > kProblem) rv[specie] = fUpTestValue[AliQAv1::kWARNING]; | |
841 | // else rv[specie] = fUpTestValue[AliQAv1::kINFO]; | |
842 | AliDebugF(3, "Combined sum is %d -> %f", ret, rv[specie]); | |
843 | ||
a3e1fdcc | 844 | if (status) { |
845 | Int_t qual = 0; | |
846 | for (Int_t i = 1; i < status->GetXaxis()->GetNbins(); i++) { | |
847 | if (status->GetBinContent(i, 3) > 1) qual++; | |
848 | if (status->GetBinContent(i, 4) > 0) qual++; | |
849 | } | |
850 | status->SetUniqueID(Quality2Bit(qual)); | |
1d65d916 | 851 | AddStatusPave(status, qual); |
a3e1fdcc | 852 | } |
83dbc5b8 | 853 | // if (count != 0) rv[specie] /= count; |
6ceca4ef | 854 | } |
fa5a224b | 855 | // return rv; |
6ceca4ef | 856 | } |
857 | ||
05e5e0c1 | 858 | namespace { |
859 | Int_t CheckForLog(TAxis* axis, | |
860 | TVirtualPad* pad, | |
861 | Int_t xyz) | |
862 | { | |
863 | Int_t ret = 0; | |
864 | TString t(axis->GetTitle()); | |
865 | if (!t.Contains("[log]", TString::kIgnoreCase)) return 0; | |
866 | t.ReplaceAll("[log]", ""); | |
867 | switch (xyz) { | |
868 | case 1: pad->SetLogx(); ret |= 0x1; break; | |
869 | case 2: pad->SetLogy(); ret |= 0x2; break; | |
870 | case 3: pad->SetLogz(); ret |= 0x4; break; | |
871 | } | |
872 | axis->SetTitle(t); | |
873 | return ret; | |
874 | } | |
9eb9c521 | 875 | void RestoreLog(TAxis* axis, Bool_t log) |
876 | { | |
877 | if (!log) return; | |
878 | TString t(axis->GetTitle()); | |
879 | t.Append("[log]"); | |
880 | axis->SetTitle(t); | |
881 | } | |
05e5e0c1 | 882 | } |
6ceca4ef | 883 | |
0f666f27 | 884 | namespace { |
885 | void FindMinMax(TH1* h, Double_t& min, Double_t& max) | |
886 | { | |
887 | Double_t tmin = 1e9; | |
888 | Double_t tmax = 0; | |
889 | for (Int_t i = 1; i <= h->GetNbinsX(); i++) { | |
890 | Double_t c = h->GetBinContent(i); | |
891 | if (c < 1e-8) continue; | |
892 | tmin = TMath::Min(tmin, c); | |
893 | tmax = TMath::Max(tmax, c); | |
894 | } | |
895 | min = tmin; | |
896 | max = tmax; | |
897 | } | |
898 | } | |
a3e1fdcc | 899 | |
900 | namespace { | |
901 | Int_t GetHalfringPad(TH1* h) { | |
902 | TString nme(h->GetName()); | |
903 | Char_t cD = nme[nme.Length()-2]; | |
904 | Char_t cR = nme[nme.Length()-1]; | |
905 | Int_t xbin = 0; | |
906 | switch (cD) { | |
907 | case '1': xbin = 1; break; | |
908 | case '2': xbin = ((cR == 'i' || cR == 'I') ? 2 : 5); break; | |
909 | case '3': xbin = ((cR == 'i' || cR == 'I') ? 3 : 6); break; | |
910 | } | |
911 | return xbin; | |
912 | } | |
913 | } | |
914 | ||
1706c710 | 915 | //____________________________________________________________________________ |
916 | void | |
917 | AliFMDQAChecker::MakeImage(TObjArray** list, | |
918 | AliQAv1::TASKINDEX_t task, | |
919 | AliQAv1::MODE_t mode) | |
920 | { | |
921 | // makes the QA image for sim and rec | |
922 | // | |
923 | // Parameters: | |
924 | // task What to check | |
925 | // list Array of arrays of histograms. There's one array for | |
926 | // each 'specie' | |
927 | // t Reconstruction parameters - not used. | |
928 | // | |
929 | Int_t nImages = 0 ; | |
930 | Double_t max = 0; | |
931 | Double_t min = 10000; | |
9eb9c521 | 932 | |
933 | // Loop over all species | |
1706c710 | 934 | for (Int_t specie = 0 ; specie < AliRecoParam::kNSpecies ; specie++) { |
05e5e0c1 | 935 | AliRecoParam::EventSpecie_t spe = AliRecoParam::ConvertIndex(specie); |
936 | if (!AliQAv1::Instance(AliQAv1::GetDetIndex(GetName())) | |
937 | ->IsEventSpecieSet(spe)) | |
544ed74f | 938 | continue; |
9eb9c521 | 939 | |
940 | // If nothing is defined for this specie, go on. | |
05e5e0c1 | 941 | if(!list[specie] || list[specie]->GetEntriesFast() == 0) continue; |
1706c710 | 942 | |
9eb9c521 | 943 | // Loop over the histograms and figure out how many histograms we |
944 | // have and the min/max | |
05e5e0c1 | 945 | TH1* hist = 0; |
1706c710 | 946 | Int_t nHist = list[specie]->GetEntriesFast(); |
947 | for(Int_t i= 0; i< nHist; i++) { | |
948 | hist = static_cast<TH1F*>(list[specie]->At(i)); | |
ae559def | 949 | if (hist && hist->TestBit(AliQAv1::GetImageBit())) { |
1706c710 | 950 | nImages++; |
05e5e0c1 | 951 | TString name(hist->GetName()); |
a3e1fdcc | 952 | if (name.Contains("readouterrors", TString::kIgnoreCase) || |
953 | name.Contains("status", TString::kIgnoreCase)) continue; | |
0f666f27 | 954 | |
955 | // Double_t hMax = hist->GetMaximum(); | |
05e5e0c1 | 956 | // hist->GetBinContent(hist->GetMaximumBin()); |
0f666f27 | 957 | // Double_t hMin = hist->GetMinimum(); |
05e5e0c1 | 958 | // hist->GetBinContent(hist->GetMinimumBin()); |
0f666f27 | 959 | Double_t hMax, hMin; |
960 | FindMinMax(hist, hMin, hMax); | |
05e5e0c1 | 961 | max = TMath::Max(max, hMax); |
962 | min = TMath::Min(min, hMin); | |
1306ba55 | 963 | // AliInfoF("Min/max of %40s: %f/%f, global -> %f/%f", |
964 | // hist->GetName(), hMin, hMax, min, max); | |
1706c710 | 965 | } |
966 | } | |
967 | break ; | |
968 | } | |
1306ba55 | 969 | // AliInfoF("Global min/max=%f/%f", min, max); |
9558fc76 | 970 | min = TMath::Max(1e-1, min); |
971 | max = TMath::Max(1e5, max); | |
1706c710 | 972 | |
9eb9c521 | 973 | // IF no images, go on. |
1706c710 | 974 | if (nImages == 0) { |
975 | AliDebug(AliQAv1::GetQADebugLevel(), | |
976 | Form("No histogram will be plotted for %s %s\n", GetName(), | |
977 | AliQAv1::GetTaskName(task).Data())); | |
978 | return; | |
979 | } | |
980 | ||
981 | AliDebug(AliQAv1::GetQADebugLevel(), | |
982 | Form("%d histograms will be plotted for %s %s\n", | |
983 | nImages, GetName(), AliQAv1::GetTaskName(task).Data())); | |
05e5e0c1 | 984 | gStyle->SetOptStat(0); |
9eb9c521 | 985 | |
986 | // Again loop over species and draw a canvas | |
1706c710 | 987 | for (Int_t specie = 0 ; specie < AliRecoParam::kNSpecies ; specie++) { |
05e5e0c1 | 988 | if (!AliQAv1::Instance(AliQAv1::GetDetIndex(GetName())) |
989 | ->IsEventSpecieSet(specie)) continue; | |
1706c710 | 990 | |
9eb9c521 | 991 | // if Nothing here, go on |
992 | if(!list[specie] || list[specie]->GetEntries() <= 0 || | |
993 | nImages <= 0) continue; | |
994 | ||
9558fc76 | 995 | // Form the title |
1706c710 | 996 | const Char_t * title = Form("QA_%s_%s_%s", GetName(), |
997 | AliQAv1::GetTaskName(task).Data(), | |
998 | AliRecoParam::GetEventSpecieName(specie)); | |
9eb9c521 | 999 | if (!fImage[specie]) fImage[specie] = new TCanvas(title, title) ; |
1706c710 | 1000 | fImage[specie]->Clear() ; |
1001 | fImage[specie]->SetTitle(title) ; | |
1002 | fImage[specie]->cd() ; | |
1003 | ||
9eb9c521 | 1004 | // Put something in the canvas - even if empty |
1706c710 | 1005 | TPaveText someText(0.015, 0.015, 0.98, 0.98) ; |
1006 | someText.AddText(title) ; | |
9eb9c521 | 1007 | someText.SetFillColor(0); |
1008 | someText.SetFillStyle(0); | |
1009 | someText.SetBorderSize(0); | |
1010 | someText.SetTextColor(kRed+1); | |
1706c710 | 1011 | someText.Draw() ; |
05e5e0c1 | 1012 | TString outName(Form("%s%s%d.%s", AliQAv1::GetImageFileName(), |
1013 | AliQAv1::GetModeName(mode), | |
1014 | AliQAChecker::Instance()->GetRunNumber(), | |
1015 | AliQAv1::GetImageFileFormat())); | |
1016 | fImage[specie]->Print(outName, "ps") ; | |
1706c710 | 1017 | |
9eb9c521 | 1018 | // Now set some parameters on the canvas |
1019 | fImage[specie]->Clear(); | |
1020 | fImage[specie]->SetTopMargin(0.10); | |
1021 | fImage[specie]->SetBottomMargin(0.15); | |
1022 | fImage[specie]->SetLeftMargin(0.15); | |
1023 | fImage[specie]->SetRightMargin(0.05); | |
1024 | ||
1025 | // Put title on top | |
1026 | const char* topT = Form("Mode: %s, Task: %s, Specie: %s, Run: %d", | |
1027 | AliQAv1::GetModeName(mode), | |
1028 | AliQAv1::GetTaskName(task).Data(), | |
1029 | AliRecoParam::GetEventSpecieName(specie), | |
1030 | AliQAChecker::Instance()->GetRunNumber()); | |
1031 | TLatex* topText = new TLatex(.5, .99, topT); | |
1032 | topText->SetTextAlign(23); | |
1033 | topText->SetTextSize(.038); | |
1034 | topText->SetTextFont(42); | |
1035 | topText->SetTextColor(kBlue+3); | |
1036 | topText->SetNDC(); | |
1037 | topText->Draw(); | |
a3e1fdcc | 1038 | |
1039 | // Find the status histogram if any | |
1040 | TH2* status = 0; | |
1041 | Int_t istatus = AliFMDQADataMakerRec::GetHalfringIndex(4, 'i', 0, 0); | |
1042 | if (istatus < list[specie]->GetEntriesFast()) | |
1043 | status = dynamic_cast<TH2*>(list[specie]->At(istatus)); | |
1044 | ||
9eb9c521 | 1045 | // Divide canvas |
9558fc76 | 1046 | // if (fDoScale) |
a3e1fdcc | 1047 | TVirtualPad* plots = fImage[specie]; |
1048 | TVirtualPad* stat = 0; | |
1049 | if (status) { | |
1050 | // AliWarning("Drawing plots sub-pad"); | |
1051 | TPad* pM = new TPad("plots", "Plots Pad", 0, .2, 1., .9, 0, 0); | |
1052 | fImage[specie]->cd(); | |
1053 | pM->Draw(); | |
1054 | plots = pM; | |
1055 | // AliWarning("Drawing status sub-pad"); | |
1056 | TPad* pS = new TPad("status", "Status Pad", 0, 0, 1., .2, 0, 0); | |
1057 | fImage[specie]->cd(); | |
1058 | pS->Draw(); | |
1059 | pS->SetLogz(); | |
1060 | stat = pS; | |
1061 | // status->DrawCopy("colz"); | |
1062 | } | |
1063 | // AliWarningF("fImage[specie]=%p, plots=%p", fImage[specie], plots); | |
1064 | // plots->cd(); | |
1065 | Int_t nx = 3; | |
1066 | Int_t ny = (nImages + .5) / nx; | |
1067 | plots->Divide(nx, ny, 0, 0); | |
9558fc76 | 1068 | // else fImage[specie]->Divide(nx, ny); |
1706c710 | 1069 | |
1070 | ||
9eb9c521 | 1071 | // Loop over histograms |
05e5e0c1 | 1072 | TH1* hist = 0; |
1706c710 | 1073 | Int_t nHist = list[specie]->GetEntriesFast(); |
1706c710 | 1074 | for (Int_t i = 0; i < nHist; i++) { |
05e5e0c1 | 1075 | hist = static_cast<TH1*>(list[specie]->At(i)); |
1076 | if (!hist || !hist->TestBit(AliQAv1::GetImageBit())) continue; | |
a3e1fdcc | 1077 | if (hist == status) continue; |
1078 | TString name(hist->GetName()); | |
1079 | Bool_t isROE = name.Contains("readouterrors", TString::kIgnoreCase); | |
9eb9c521 | 1080 | |
1081 | // Go to sub-pad | |
a3e1fdcc | 1082 | TVirtualPad* pad = 0; |
1083 | if (isROE) pad = plots->cd(4); | |
1084 | else pad = plots->cd(GetHalfringPad(hist)); | |
1085 | ||
9eb9c521 | 1086 | pad->SetRightMargin(0.01); |
9558fc76 | 1087 | if (!fDoScale) { |
1088 | pad->SetLeftMargin(0.10); | |
1089 | pad->SetBottomMargin(0.10); | |
1090 | } | |
9eb9c521 | 1091 | |
1092 | // Check for log scale | |
05e5e0c1 | 1093 | Int_t logOpts = 0; |
1094 | logOpts |= CheckForLog(hist->GetXaxis(), pad, 1); | |
1095 | logOpts |= CheckForLog(hist->GetYaxis(), pad, 2); | |
1096 | logOpts |= CheckForLog(hist->GetZaxis(), pad, 3); | |
05e5e0c1 | 1097 | |
9eb9c521 | 1098 | // Figure out special cases |
1306ba55 | 1099 | TString opt(""); |
a3e1fdcc | 1100 | if (isROE) { |
05e5e0c1 | 1101 | pad->SetRightMargin(0.15); |
1102 | pad->SetBottomMargin(0.10); | |
9558fc76 | 1103 | // pad->SetTopMargin(0.02); |
05e5e0c1 | 1104 | opt="COLZ"; |
1105 | } | |
1106 | else { | |
9eb9c521 | 1107 | pad->SetGridx(); |
1108 | pad->SetGridy(); | |
9558fc76 | 1109 | if (fDoScale) { |
1110 | hist->SetMinimum(min); | |
1111 | hist->SetMaximum(max); | |
1112 | } | |
1113 | else { | |
1114 | hist->SetMinimum(); | |
1115 | hist->SetMaximum(); | |
1116 | } | |
05e5e0c1 | 1117 | } |
9eb9c521 | 1118 | // Draw (As a copy) |
05e5e0c1 | 1119 | hist->DrawCopy(opt); |
1306ba55 | 1120 | |
9eb9c521 | 1121 | // Special cases |
1122 | if (name.Contains("readouterrors", TString::kIgnoreCase)) { | |
1306ba55 | 1123 | #if 0 |
9eb9c521 | 1124 | for (Int_t kk = 1; kk <= 3; kk++) { |
1125 | TH1* proj = static_cast<TH2*>(hist)->ProjectionY("",kk,kk); | |
1306ba55 | 1126 | Double_t m = proj->GetMean(); |
1127 | TLatex* l = new TLatex(kk, 30, Form("Mean: %f", m)); | |
1128 | l->SetTextAngle(90); | |
1129 | l->SetTextColor(m > 10 ? kRed+1 : m > .7 ? kOrange+2 :kGreen+2); | |
1130 | l->Draw(); | |
1131 | } | |
1132 | #endif | |
9eb9c521 | 1133 | } |
1134 | else { | |
1135 | gStyle->SetOptTitle(0); | |
1136 | TPad* insert = new TPad("insert", "Zoom", | |
a3e1fdcc | 1137 | .5,.5, .99, .95, 0, 0, 0); |
9eb9c521 | 1138 | insert->SetTopMargin(0.01); |
1139 | insert->SetRightMargin(0.01); | |
1140 | insert->SetFillColor(0); | |
1141 | insert->SetBorderSize(1); | |
1142 | insert->SetBorderMode(0); | |
1143 | insert->Draw(); | |
1144 | insert->cd(); | |
1145 | if (logOpts & 0x1) insert->SetLogx(); | |
1146 | if (logOpts & 0x2) insert->SetLogy(); | |
1147 | if (logOpts & 0x4) insert->SetLogz(); | |
0f666f27 | 1148 | hist->GetXaxis()->SetRange(1, hist->GetNbinsX()/8); |
1149 | TH1* copy = hist->DrawCopy(opt); | |
1150 | copy->GetXaxis()->SetNdivisions(408, false); | |
9eb9c521 | 1151 | // Restore full range |
0f666f27 | 1152 | hist->GetXaxis()->SetRange(0, 0); |
9eb9c521 | 1153 | gStyle->SetOptTitle(1); |
1154 | } | |
05e5e0c1 | 1155 | pad->cd(); |
9eb9c521 | 1156 | // Possibly restore the log options |
1157 | RestoreLog(hist->GetXaxis(), logOpts & 0x1); | |
1158 | RestoreLog(hist->GetYaxis(), logOpts & 0x2); | |
1159 | RestoreLog(hist->GetZaxis(), logOpts & 0x4); | |
1706c710 | 1160 | } |
a3e1fdcc | 1161 | if (status && stat) { |
1162 | stat->cd(); | |
1163 | status->DrawCopy("BOX TEXT"); | |
1164 | } | |
0f666f27 | 1165 | // Print to a post-script file |
05e5e0c1 | 1166 | fImage[specie]->Print(outName, "ps"); |
a3e1fdcc | 1167 | if (AliDebugLevel() > 1) |
1168 | fImage[specie]->Print(Form("%s_%d.png", | |
1169 | AliRecoParam::GetEventSpecieName(specie), | |
1170 | AliQAChecker::Instance()->GetRunNumber())); | |
1706c710 | 1171 | } |
1172 | } | |
c9dd1c4d | 1173 | |
1174 | //__________________________________________________________________ | |
1175 | // | |
1176 | // EOF | |
1177 | // |