1 /**************************************************************************
2 * Copyright(c) 1998-1999, ALICE Experiment at CERN, All rights reserved. *
4 * Author: The ALICE Off-line Project. *
5 * Contributors are mentioned in the code where appropriate. *
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 **************************************************************************/
21 #include <TMultiGraph.h>
22 #include <TGraphErrors.h>
25 #include <Riostream.h>
27 #include <TGeoManager.h>
29 #include <TObjString.h>
33 #include "AliESDEvent.h"
34 #include "AliESDMuonTrack.h"
35 #include "AliCDBManager.h"
36 #include "AliCDBStorage.h"
37 #include "AliGeomManager.h"
40 #include "AliAnalysisDataSlot.h"
41 #include "AliAnalysisManager.h"
42 #include "AliInputEventHandler.h"
43 #include "AliAnalysisTaskMuonResolution.h"
46 #include "AliMUONCDB.h"
47 #include "AliMUONRecoParam.h"
48 #include "AliMUONESDInterface.h"
49 #include "AliMUONVTrackReconstructor.h"
50 #include "AliMUONTrack.h"
51 #include "AliMUONTrackParam.h"
52 #include "AliMUONTrackExtrap.h"
53 #include "AliMUONVCluster.h"
54 #include "AliMUONGeometryTransformer.h"
55 #include "AliMUONGeometryModuleTransformer.h"
56 #include "AliMUONGeometryDetElement.h"
57 #include "AliMpDEIterator.h"
60 #define SafeDelete(x) if (x != NULL) { delete x; x = NULL; }
63 ClassImp(AliAnalysisTaskMuonResolution)
65 const Int_t AliAnalysisTaskMuonResolution::fgkMinEntries = 10;
67 //________________________________________________________________________
68 AliAnalysisTaskMuonResolution::AliAnalysisTaskMuonResolution() :
78 fShowProgressBar(kFALSE),
79 fPrintClResPerCh(kFALSE),
80 fPrintClResPerDE(kFALSE),
83 fSelectPhysics(kFALSE),
86 fSelectTrigger(kFALSE),
89 fCorrectForSystematics(kTRUE),
95 fOldGeoTransformer(NULL),
96 fNewGeoTransformer(NULL),
97 fSelectTriggerClass(NULL)
99 /// Default constructor
102 //________________________________________________________________________
103 AliAnalysisTaskMuonResolution::AliAnalysisTaskMuonResolution(const char *name) :
104 AliAnalysisTaskSE(name),
111 fDefaultStorage("raw://"),
113 fShowProgressBar(kFALSE),
114 fPrintClResPerCh(kFALSE),
115 fPrintClResPerDE(kFALSE),
118 fSelectPhysics(kFALSE),
120 fApplyAccCut(kFALSE),
121 fSelectTrigger(kFALSE),
124 fCorrectForSystematics(kTRUE),
128 fOldAlignStorage(""),
129 fNewAlignStorage(""),
130 fOldGeoTransformer(NULL),
131 fNewGeoTransformer(NULL),
132 fSelectTriggerClass(NULL)
136 for (Int_t i = 0; i < AliMUONConstants::NTrackingCh(); i++) SetStartingResolution(i, -1., -1.);
140 // Output slot #1 writes into a TObjArray container
141 DefineOutput(1,TObjArray::Class());
142 // Output slot #2 writes into a TObjArray container
143 DefineOutput(2,TObjArray::Class());
144 // Output slot #3 writes into a TObjArray container
145 DefineOutput(3,TObjArray::Class());
146 // Output slot #4 writes into a TObjArray container
147 DefineOutput(4,TObjArray::Class());
148 // Output slot #5 writes into a TObjArray container
149 DefineOutput(5,TObjArray::Class());
152 //________________________________________________________________________
153 AliAnalysisTaskMuonResolution::~AliAnalysisTaskMuonResolution()
156 if (!AliAnalysisManager::GetAnalysisManager()->IsProofMode()) {
157 SafeDelete(fResiduals);
158 SafeDelete(fResidualsVsP);
159 SafeDelete(fTrackRes);
161 SafeDelete(fChamberRes);
162 SafeDelete(fCanvases);
164 SafeDelete(fOldGeoTransformer);
165 SafeDelete(fNewGeoTransformer);
166 SafeDelete(fSelectTriggerClass);
169 //___________________________________________________________________________
170 void AliAnalysisTaskMuonResolution::UserCreateOutputObjects()
172 /// Create histograms
174 // do it once the OCDB has been loaded (i.e. from NotifyRun())
175 if (!fOCDBLoaded) return;
177 // set the list of trigger classes that can be selected to fill histograms (in case the physics selection is not used)
178 fSelectTriggerClass = new TList();
179 fSelectTriggerClass->SetOwner();
180 fSelectTriggerClass->AddLast(new TObjString(" CINT1B-ABCE-NOPF-ALL ")); fSelectTriggerClass->Last()->SetUniqueID(AliVEvent::kMB);
181 fSelectTriggerClass->AddLast(new TObjString(" CMUS1B-ABCE-NOPF-MUON ")); fSelectTriggerClass->Last()->SetUniqueID(AliVEvent::kMUON);
182 fSelectTriggerClass->AddLast(new TObjString(" CINT1-B-")); fSelectTriggerClass->Last()->SetUniqueID(AliVEvent::kMB);
183 fSelectTriggerClass->AddLast(new TObjString(" CMUS1-B-")); fSelectTriggerClass->Last()->SetUniqueID(AliVEvent::kMUON);
184 fSelectTriggerClass->AddLast(new TObjString(" CSH1-B-")); fSelectTriggerClass->Last()->SetUniqueID(AliVEvent::kHighMult);
186 fResiduals = new TObjArray(1000);
187 fResiduals->SetOwner();
188 fResidualsVsP = new TObjArray(1000);
189 fResidualsVsP->SetOwner();
190 fTrackRes = new TObjArray(1000);
191 fTrackRes->SetOwner();
194 // find the highest chamber resolution and set histogram bins
195 const AliMUONRecoParam* recoParam = AliMUONESDInterface::GetTracker()->GetRecoParam();
196 Double_t maxSigma[2] = {-1., -1.};
197 for (Int_t i = 0; i < 10; i++) {
198 if (recoParam->GetDefaultNonBendingReso(i) > maxSigma[0]) maxSigma[0] = recoParam->GetDefaultNonBendingReso(i);
199 if (recoParam->GetDefaultBendingReso(i) > maxSigma[1]) maxSigma[1] = recoParam->GetDefaultBendingReso(i);
201 const char* axes[2] = {"X", "Y"};
202 const Int_t nBins = 5000;
203 const Int_t nSigma = 10;
204 const Int_t pNBins = 20;
205 const Double_t pEdges[2] = {0., 50.};
207 for (Int_t ia = 0; ia < 2; ia++) {
209 Double_t maxRes = nSigma*maxSigma[ia];
211 // List of residual histos
212 h2 = new TH2F(Form("hResidual%sPerCh_ClusterIn",axes[ia]), Form("cluster-track residual-%s distribution per chamber (cluster attached to the track);chamber ID;#Delta_{%s} (cm)",axes[ia],axes[ia]), 10, 0.5, 10.5, nBins, -maxRes, maxRes);
213 fResiduals->AddAtAndExpand(h2, kResidualPerChClusterIn+ia);
214 h2 = new TH2F(Form("hResidual%sPerCh_ClusterOut",axes[ia]), Form("cluster-track residual-%s distribution per chamber (cluster not attached to the track);chamber ID;#Delta_{%s} (cm)",axes[ia],axes[ia]), 10, 0.5, 10.5, nBins, -2.*maxRes, 2.*maxRes);
215 fResiduals->AddAtAndExpand(h2, kResidualPerChClusterOut+ia);
217 h2 = new TH2F(Form("hResidual%sPerHalfCh_ClusterIn",axes[ia]), Form("cluster-track residual-%s distribution per half chamber (cluster attached to the track);half chamber ID;#Delta_{%s} (cm)",axes[ia],axes[ia]), 20, 0.5, 20.5, nBins, -maxRes, maxRes);
218 for (Int_t i = 0; i < 10; i++) { h2->GetXaxis()->SetBinLabel(2*i+1, Form("%d-I",i+1)); h2->GetXaxis()->SetBinLabel(2*i+2, Form("%d-O",i+1)); }
219 fResiduals->AddAtAndExpand(h2, kResidualPerHalfChClusterIn+ia);
220 h2 = new TH2F(Form("hResidual%sPerHalfCh_ClusterOut",axes[ia]), Form("cluster-track residual-%s distribution per half chamber (cluster not attached to the track);half chamber ID;#Delta_{%s} (cm)",axes[ia],axes[ia]), 20, 0.5, 20.5, nBins, -2.*maxRes, 2.*maxRes);
221 for (Int_t i = 0; i < 10; i++) { h2->GetXaxis()->SetBinLabel(2*i+1, Form("%d-I",i+1)); h2->GetXaxis()->SetBinLabel(2*i+2, Form("%d-O",i+1)); }
222 fResiduals->AddAtAndExpand(h2, kResidualPerHalfChClusterOut+ia);
224 h2 = new TH2F(Form("hResidual%sPerDE_ClusterIn",axes[ia]), Form("cluster-track residual-%s distribution per DE (cluster not attached to the track);DE ID;#Delta_{%s} (cm)",axes[ia],axes[ia]), fNDE, 0.5, fNDE+0.5, nBins, -maxRes, maxRes);
225 for (Int_t i = 1; i <= fNDE; i++) h2->GetXaxis()->SetBinLabel(i, Form("%d",fDEIds[i]));
226 fResiduals->AddAtAndExpand(h2, kResidualPerDEClusterIn+ia);
227 h2 = new TH2F(Form("hResidual%sPerDE_ClusterOut",axes[ia]), Form("cluster-track residual-%s distribution per DE (cluster not attached to the track);DE ID;#Delta_{%s} (cm)",axes[ia],axes[ia]), fNDE, 0.5, fNDE+0.5, nBins, -2.*maxRes, 2.*maxRes);
228 for (Int_t i = 1; i <= fNDE; i++) h2->GetXaxis()->SetBinLabel(i, Form("%d",fDEIds[i]));
229 fResiduals->AddAtAndExpand(h2, kResidualPerDEClusterOut+ia);
231 h2 = new TH2F(Form("hTrackRes%sPerCh",axes[ia]), Form("track #sigma_{%s} per Ch;chamber ID;#sigma_{%s} (cm)",axes[ia],axes[ia]), 10, 0.5, 10.5, nBins, 0., maxRes);
232 fResiduals->AddAtAndExpand(h2, kTrackResPerCh+ia);
233 h2 = new TH2F(Form("hTrackRes%sPerHalfCh",axes[ia]), Form("track #sigma_{%s} per half Ch;half chamber ID;#sigma_{%s} (cm)",axes[ia],axes[ia]), 20, 0.5, 20.5, nBins, 0., maxRes);
234 for (Int_t i = 0; i < 10; i++) { h2->GetXaxis()->SetBinLabel(2*i+1, Form("%d-I",i+1)); h2->GetXaxis()->SetBinLabel(2*i+2, Form("%d-O",i+1)); }
235 fResiduals->AddAtAndExpand(h2, kTrackResPerHalfCh+ia);
236 h2 = new TH2F(Form("hTrackRes%sPerDE",axes[ia]), Form("track #sigma_{%s} per DE;DE ID;#sigma_{%s} (cm)",axes[ia],axes[ia]), fNDE, 0.5, fNDE+0.5, nBins, 0., maxRes);
237 for (Int_t i = 1; i <= fNDE; i++) h2->GetXaxis()->SetBinLabel(i, Form("%d",fDEIds[i]));
238 fResiduals->AddAtAndExpand(h2, kTrackResPerDE+ia);
240 h2 = new TH2F(Form("hMCS%sPerCh",axes[ia]), Form("MCS %s-dispersion of extrapolated track per Ch;chamber ID;#sigma_{%s} (cm)",axes[ia],axes[ia]), 10, 0.5, 10.5, nBins, 0., 0.2);
241 fResiduals->AddAtAndExpand(h2, kMCSPerCh+ia);
242 h2 = new TH2F(Form("hMCS%sPerHalfCh",axes[ia]), Form("MCS %s-dispersion of extrapolated track per half Ch;half chamber ID;#sigma_{%s} (cm)",axes[ia],axes[ia]), 20, 0.5, 20.5, nBins, 0., 0.2);
243 for (Int_t i = 0; i < 10; i++) { h2->GetXaxis()->SetBinLabel(2*i+1, Form("%d-I",i+1)); h2->GetXaxis()->SetBinLabel(2*i+2, Form("%d-O",i+1)); }
244 fResiduals->AddAtAndExpand(h2, kMCSPerHalfCh+ia);
245 h2 = new TH2F(Form("hMCS%sPerDE",axes[ia]), Form("MCS %s-dispersion of extrapolated track per DE;DE ID;#sigma_{%s} (cm)",axes[ia],axes[ia]), fNDE, 0.5, fNDE+0.5, nBins, 0., 0.2);
246 for (Int_t i = 1; i <= fNDE; i++) h2->GetXaxis()->SetBinLabel(i, Form("%d",fDEIds[i]));
247 fResiduals->AddAtAndExpand(h2, kMCSPerDE+ia);
249 h2 = new TH2F(Form("hClusterRes2%sPerCh",axes[ia]), Form("cluster #sigma_{%s}^{2} per Ch;chamber ID;#sigma_{%s}^{2} (cm^{2})",axes[ia],axes[ia]), 10, 0.5, 10.5, nSigma*nBins, -0.1*maxRes*maxRes, maxRes*maxRes);
250 fResiduals->AddAtAndExpand(h2, kClusterRes2PerCh+ia);
252 // List of residual vs. p histos
253 for (Int_t i = 0; i < AliMUONConstants::NTrackingCh(); i++) {
254 h2 = new TH2F(Form("hResidual%sInCh%dVsP_ClusterIn",axes[ia],i+1), Form("cluster-track residual-%s distribution in chamber %d versus momentum (cluster attached to the track);p (GeV/c^{2});#Delta_{%s} (cm)",axes[ia],i+1,axes[ia]), pNBins, pEdges[0], pEdges[1], nBins, -maxRes, maxRes);
255 fResidualsVsP->AddAtAndExpand(h2, kResidualInChVsPClusterIn+10*ia+i);
256 h2 = new TH2F(Form("hResidual%sInCh%dVsP_ClusterOut",axes[ia],i+1), Form("cluster-track residual-%s distribution in chamber %d versus momentum (cluster not attached to the track);p (GeV/c^{2});#Delta_{%s} (cm)",axes[ia],i+1,axes[ia]), pNBins, pEdges[0], pEdges[1], nBins, -2.*maxRes, 2.*maxRes);
257 fResidualsVsP->AddAtAndExpand(h2, kResidualInChVsPClusterOut+10*ia+i);
261 h2 = new TH2F(Form("hLocalChi2%sPerCh",axes[ia]), Form("local chi2-%s distribution per chamber;chamber ID;local #chi^{2}_{%s}", axes[ia], axes[ia]), 10, 0.5, 10.5, 1000, 0., 25.);
262 fResiduals->AddAtAndExpand(h2, kLocalChi2PerCh+ia);
263 h2 = new TH2F(Form("hLocalChi2%sPerDE",axes[ia]), Form("local chi2-%s distribution per DE;DE ID;local #chi^{2}_{%s}", axes[ia], axes[ia]), fNDE, 0.5, fNDE+0.5, 1000, 0., 25.);
264 for (Int_t i = 1; i <= fNDE; i++) h2->GetXaxis()->SetBinLabel(i, Form("%d",fDEIds[i]));
265 fResiduals->AddAtAndExpand(h2, kLocalChi2PerDE+ia);
268 h2 = new TH2F(Form("hUncorrSlope%sRes",axes[ia]), Form("muon slope_{%s} reconstructed resolution at first cluster vs p;p (GeV/c); #sigma_{slope_{%s}}", axes[ia], axes[ia]), 300, 0., 300., 1000, 0., 0.003);
269 fTrackRes->AddAtAndExpand(h2, kUncorrSlopeRes+ia);
270 h2 = new TH2F(Form("hSlope%sRes",axes[ia]), Form("muon slope_{%s} reconstructed resolution at vertex vs p;p (GeV/c); #sigma_{slope_{%s}}", axes[ia], axes[ia]), 300, 0., 300., 1000, 0., 0.02);
271 fTrackRes->AddAtAndExpand(h2, kSlopeRes+ia);
275 h2 = new TH2F("hLocalChi2PerCh", "local chi2 (~0.5*(#chi^{2}_{X}+#chi^{2}_{Y})) distribution per chamber;chamber ID;local #chi^{2}", 10, 0.5, 10.5, 1000, 0., 25.);
276 fResiduals->AddAtAndExpand(h2, kLocalChi2PerCh+2);
277 h2 = new TH2F("hLocalChi2PerDE", "local chi2 (~0.5*(#chi^{2}_{X}+#chi^{2}_{Y})) distribution per chamber;DE ID;local #chi^{2}", fNDE, 0.5, fNDE+0.5, 1000, 0., 25.);
278 for (Int_t i = 1; i <= fNDE; i++) h2->GetXaxis()->SetBinLabel(i, Form("%d",fDEIds[i]));
279 fResiduals->AddAtAndExpand(h2, kLocalChi2PerDE+2);
282 h2 = new TH2F("hUncorrPRes", "muon momentum reconstructed resolution at first cluster vs p;p (GeV/c); #sigma_{p}/p (%)", 300, 0., 300., 1000, 0., 10.);
283 fTrackRes->AddAtAndExpand(h2, kUncorrPRes);
284 h2 = new TH2F("hPRes", "muon momentum reconstructed resolution at vertex vs p;p (GeV/c); #sigma_{p}/p (%)", 300, 0., 300., 1000, 0., 10.);
285 fTrackRes->AddAtAndExpand(h2, kPRes);
286 h2 = new TH2F("hUncorrPtRes", "muon transverse momentum reconstructed resolution at first cluster vs p_{t};p_{t} (GeV/c); #sigma_{p_{t}}/p_{t} (%)", 300, 0., 30., 300, 0., 30.);
287 fTrackRes->AddAtAndExpand(h2, kUncorrPtRes);
288 h2 = new TH2F("hPtRes", "muon transverse momentum reconstructed resolution at vertex vs p_{t};p_{t} (GeV/c); #sigma_{p_{t}}/p_{t} (%)", 300, 0., 30., 300, 0., 30.);
289 fTrackRes->AddAtAndExpand(h2, kPtRes);
291 // Post data at least once per task to ensure data synchronisation (required for merging)
292 PostData(1, fResiduals);
293 PostData(2, fResidualsVsP);
294 PostData(5, fTrackRes);
297 //________________________________________________________________________
298 void AliAnalysisTaskMuonResolution::UserExec(Option_t *)
302 // check if OCDB properly loaded
303 if (!fOCDBLoaded) return;
305 AliESDEvent* esd = dynamic_cast<AliESDEvent*>(InputEvent());
308 if (fShowProgressBar && (++fNEvents)%100 == 0) cout<<"\rEvent processing... "<<fNEvents<<"\r"<<flush;
310 // skip events that do not pass the physics selection if required
311 UInt_t triggerWord = (fInputHandler) ? fInputHandler->IsEventSelected() : 0;
312 if (fSelectPhysics && triggerWord == 0) return;
314 // skip events that do not pass the trigger selection if required
315 TString firedTriggerClasses = esd->GetFiredTriggerClasses();
316 if (!fSelectPhysics) triggerWord = BuildTriggerWord(firedTriggerClasses);
317 if (fSelectTrigger && (triggerWord & fTriggerMask) == 0) return;
319 // get tracker to refit
320 AliMUONVTrackReconstructor* tracker = AliMUONESDInterface::GetTracker();
323 Int_t nTracks = (Int_t) esd->GetNumberOfMuonTracks();
324 for (Int_t iTrack = 0; iTrack < nTracks; ++iTrack) {
327 AliESDMuonTrack* esdTrack = esd->GetMuonTrack(iTrack);
330 if (!esdTrack->ContainTrackerData()) continue;
332 // skip tracks not matched with trigger if required
333 if (fMatchTrig && !esdTrack->ContainTriggerData()) continue;
335 // skip tracks that do not pass the acceptance cuts if required
336 Double_t thetaAbs = TMath::ATan(esdTrack->GetRAtAbsorberEnd()/505.) * TMath::RadToDeg();
337 Double_t eta = esdTrack->Eta();
338 if (fApplyAccCut && (thetaAbs < 2. || thetaAbs > 9. || eta < -4. || eta > -2.5)) continue;
340 // skip low momentum tracks
341 if (esdTrack->PUncorrected() < fMinMomentum) continue;
343 // get the corresponding MUON track
345 AliMUONESDInterface::ESDToMUON(*esdTrack, track, kFALSE);
347 // change the cluster resolution (and position)
348 ModifyClusters(track);
351 if (!tracker->RefitTrack(track, kFALSE)) break;
353 // save track unchanged
354 AliMUONTrack referenceTrack(track);
356 // get track param at first cluster and add MCS in first chamber
357 AliMUONTrackParam trackParamAtFirstCluster(*(static_cast<AliMUONTrackParam*>(track.GetTrackParamAtCluster()->First())));
358 Int_t firstCh = 0; while (firstCh < 10 && !esdTrack->IsInMuonClusterMap(firstCh)) firstCh++;
359 AliMUONTrackExtrap::AddMCSEffect(&trackParamAtFirstCluster, AliMUONConstants::ChamberThicknessInX0(firstCh)/2., -1.);
361 // fill momentum error at first cluster
362 Double_t pXUncorr = trackParamAtFirstCluster.Px();
363 Double_t pYUncorr = trackParamAtFirstCluster.Py();
364 Double_t pZUncorr = trackParamAtFirstCluster.Pz();
365 Double_t pUncorr = trackParamAtFirstCluster.P();
366 TMatrixD covUncorr(5,5);
367 Cov2CovP(trackParamAtFirstCluster,covUncorr);
368 Double_t sigmaPUncorr = TMath::Sqrt(pXUncorr * (pXUncorr*covUncorr(2,2) + pYUncorr*covUncorr(2,3) + pZUncorr*covUncorr(2,4)) +
369 pYUncorr * (pXUncorr*covUncorr(3,2) + pYUncorr*covUncorr(3,3) + pZUncorr*covUncorr(3,4)) +
370 pZUncorr * (pXUncorr*covUncorr(4,2) + pYUncorr*covUncorr(4,3) + pZUncorr*covUncorr(4,4))) / pUncorr;
371 ((TH2F*)fTrackRes->UncheckedAt(kUncorrPRes))->Fill(pUncorr,100.*sigmaPUncorr/pUncorr);
373 // fill transverse momentum error at first cluster
374 Double_t ptUncorr = TMath::Sqrt(pXUncorr*pXUncorr + pYUncorr*pYUncorr);
375 Double_t sigmaPtUncorr = TMath::Sqrt(pXUncorr * (pXUncorr*covUncorr(2,2) + pYUncorr*covUncorr(2,3)) + pYUncorr * (pXUncorr*covUncorr(3,2) + pYUncorr*covUncorr(3,3))) / ptUncorr;
376 ((TH2F*)fTrackRes->UncheckedAt(kUncorrPtRes))->Fill(ptUncorr,100.*sigmaPtUncorr/ptUncorr);
378 // fill slopeX-Y error at first cluster
379 ((TH2F*)fTrackRes->UncheckedAt(kUncorrSlopeRes))->Fill(pUncorr,TMath::Sqrt(trackParamAtFirstCluster.GetCovariances()(1,1)));
380 ((TH2F*)fTrackRes->UncheckedAt(kUncorrSlopeRes+1))->Fill(pUncorr,TMath::Sqrt(trackParamAtFirstCluster.GetCovariances()(3,3)));
382 // fill momentum error at vertex
383 AliMUONTrackParam trackParamAtVtx(trackParamAtFirstCluster);
384 AliMUONTrackExtrap::ExtrapToVertex(&trackParamAtVtx, esdTrack->GetNonBendingCoor(), esdTrack->GetBendingCoor(), esdTrack->GetZ(), 0., 0.);
385 Double_t pXVtx = trackParamAtVtx.Px();
386 Double_t pYVtx = trackParamAtVtx.Py();
387 Double_t pZVtx = trackParamAtVtx.Pz();
388 Double_t pVtx = trackParamAtVtx.P();
389 TMatrixD covVtx(5,5);
390 Cov2CovP(trackParamAtVtx,covVtx);
391 Double_t sigmaPVtx = TMath::Sqrt(pXVtx * (pXVtx*covVtx(2,2) + pYVtx*covVtx(2,3) + pZVtx*covVtx(2,4)) +
392 pYVtx * (pXVtx*covVtx(3,2) + pYVtx*covVtx(3,3) + pZVtx*covVtx(3,4)) +
393 pZVtx * (pXVtx*covVtx(4,2) + pYVtx*covVtx(4,3) + pZVtx*covVtx(4,4))) / pVtx;
394 ((TH2F*)fTrackRes->UncheckedAt(kPRes))->Fill(pVtx,100.*sigmaPVtx/pVtx);
396 // fill transverse momentum error at vertex
397 Double_t ptVtx = TMath::Sqrt(pXVtx*pXVtx + pYVtx*pYVtx);
398 Double_t sigmaPtVtx = TMath::Sqrt(pXVtx * (pXVtx*covVtx(2,2) + pYVtx*covVtx(2,3)) + pYVtx * (pXVtx*covVtx(3,2) + pYVtx*covVtx(3,3))) / ptVtx;
399 ((TH2F*)fTrackRes->UncheckedAt(kPtRes))->Fill(ptVtx,100.*sigmaPtVtx/ptVtx);
401 // fill slopeX-Y error at vertex
402 ((TH2F*)fTrackRes->UncheckedAt(kSlopeRes))->Fill(pVtx,TMath::Sqrt(trackParamAtVtx.GetCovariances()(1,1)));
403 ((TH2F*)fTrackRes->UncheckedAt(kSlopeRes+1))->Fill(pVtx,TMath::Sqrt(trackParamAtVtx.GetCovariances()(3,3)));
405 // loop over clusters
406 Int_t nClusters = track.GetNClusters();
407 for (Int_t iCluster=0; iCluster<nClusters; iCluster++) {
409 // Get current, previous and next trackParams
410 AliMUONTrackParam* trackParam = static_cast<AliMUONTrackParam*>(track.GetTrackParamAtCluster()->UncheckedAt(iCluster));
411 AliMUONTrackParam* previousTrackParam = static_cast<AliMUONTrackParam*>(track.GetTrackParamAtCluster()->Before(trackParam));
412 AliMUONTrackParam* nextTrackParam = static_cast<AliMUONTrackParam*>(track.GetTrackParamAtCluster()->After(trackParam));
414 // save current trackParam and remove it from the track
415 AliMUONTrackParam currentTrackParam(*trackParam);
416 track.RemoveTrackParamAtCluster(trackParam);
419 AliMUONVCluster* cluster = currentTrackParam.GetClusterPtr();
420 Int_t chId = cluster->GetChamberId();
421 Int_t halfChId = (cluster->GetX() > 0) ? 2*chId : 2*chId+1;
422 Int_t deId = cluster->GetDetElemId();
424 // compute residuals with cluster still attached to the track
425 AliMUONTrackParam* referenceTrackParam = static_cast<AliMUONTrackParam*>(referenceTrack.GetTrackParamAtCluster()->UncheckedAt(iCluster));
426 Double_t deltaX = cluster->GetX() - referenceTrackParam->GetNonBendingCoor();
427 Double_t deltaY = cluster->GetY() - referenceTrackParam->GetBendingCoor();
429 // compute local chi2
430 Double_t sigmaDeltaX2 = cluster->GetErrX2() - referenceTrackParam->GetCovariances()(0,0);
431 Double_t sigmaDeltaY2 = cluster->GetErrY2() - referenceTrackParam->GetCovariances()(2,2);
432 Double_t localChi2X = (sigmaDeltaX2 > 0.) ? deltaX*deltaX/sigmaDeltaX2 : 0.;
433 Double_t localChi2Y = (sigmaDeltaY2 > 0.) ? deltaY*deltaY/sigmaDeltaY2 : 0.;
434 Double_t localChi2 = 0.5 * referenceTrackParam->GetLocalChi2();
436 // fill local chi2 info at every clusters
437 ((TH2F*)fResiduals->UncheckedAt(kLocalChi2PerCh))->Fill(chId+1, localChi2X);
438 ((TH2F*)fResiduals->UncheckedAt(kLocalChi2PerCh+1))->Fill(chId+1, localChi2Y);
439 ((TH2F*)fResiduals->UncheckedAt(kLocalChi2PerCh+2))->Fill(chId+1, localChi2);
440 ((TH2F*)fResiduals->UncheckedAt(kLocalChi2PerDE))->Fill(fDEIndices[deId], localChi2X);
441 ((TH2F*)fResiduals->UncheckedAt(kLocalChi2PerDE+1))->Fill(fDEIndices[deId], localChi2Y);
442 ((TH2F*)fResiduals->UncheckedAt(kLocalChi2PerDE+2))->Fill(fDEIndices[deId], localChi2);
444 // make sure the track has another cluster in the same station and can still be refitted
445 Bool_t refit = track.IsValid( 1 << (chId/2) );
448 // refit the track and proceed if everything goes fine
449 if (tracker->RefitTrack(track, kFALSE)) {
451 // fill histograms of residuals with cluster still attached to the track
452 ((TH2F*)fResiduals->UncheckedAt(kResidualPerChClusterIn))->Fill(chId+1, deltaX);
453 ((TH2F*)fResiduals->UncheckedAt(kResidualPerChClusterIn+1))->Fill(chId+1, deltaY);
454 ((TH2F*)fResiduals->UncheckedAt(kResidualPerHalfChClusterIn))->Fill(halfChId+1, deltaX);
455 ((TH2F*)fResiduals->UncheckedAt(kResidualPerHalfChClusterIn+1))->Fill(halfChId+1, deltaY);
456 ((TH2F*)fResiduals->UncheckedAt(kResidualPerDEClusterIn))->Fill(fDEIndices[deId], deltaX);
457 ((TH2F*)fResiduals->UncheckedAt(kResidualPerDEClusterIn+1))->Fill(fDEIndices[deId], deltaY);
458 ((TH2F*)fResidualsVsP->UncheckedAt(kResidualInChVsPClusterIn+chId))->Fill(pUncorr, deltaX);
459 ((TH2F*)fResidualsVsP->UncheckedAt(kResidualInChVsPClusterIn+10+chId))->Fill(pUncorr, deltaY);
461 // find the track parameters closest to the current cluster position
462 Double_t dZWithPrevious = (previousTrackParam) ? TMath::Abs(previousTrackParam->GetClusterPtr()->GetZ() - cluster->GetZ()) : FLT_MAX;
463 Int_t previousChId = (previousTrackParam) ? previousTrackParam->GetClusterPtr()->GetChamberId() : -1;
464 Double_t dZWithNext = (nextTrackParam) ? TMath::Abs(nextTrackParam->GetClusterPtr()->GetZ() - cluster->GetZ()) : FLT_MAX;
465 AliMUONTrackParam* startingTrackParam = (nextTrackParam) ? nextTrackParam : previousTrackParam;
466 if ((fExtrapMode == 0 && previousTrackParam && dZWithPrevious < dZWithNext) ||
467 (fExtrapMode == 1 && previousTrackParam && !(chId/2 == 2 && previousChId/2 == 1) &&
468 !(chId/2 == 3 && previousChId/2 == 2))) startingTrackParam = previousTrackParam;
470 // reset current parameters
471 currentTrackParam.SetParameters(startingTrackParam->GetParameters());
472 currentTrackParam.SetZ(startingTrackParam->GetZ());
473 currentTrackParam.SetCovariances(startingTrackParam->GetCovariances());
474 currentTrackParam.ResetPropagator();
476 // extrapolate to the current cluster position and fill histograms of residuals if everything goes fine
477 if (AliMUONTrackExtrap::ExtrapToZCov(¤tTrackParam, currentTrackParam.GetClusterPtr()->GetZ(), kTRUE)) {
479 // compute MCS dispersion on the first chamber
480 TMatrixD mcsCov(5,5);
481 if (startingTrackParam == nextTrackParam && chId == 0) {
482 AliMUONTrackParam trackParamForMCS;
483 trackParamForMCS.SetParameters(nextTrackParam->GetParameters());
484 AliMUONTrackExtrap::AddMCSEffect(&trackParamForMCS,AliMUONConstants::ChamberThicknessInX0(nextTrackParam->GetClusterPtr()->GetChamberId()),-1.);
485 const TMatrixD &propagator = currentTrackParam.GetPropagator();
486 TMatrixD tmp(trackParamForMCS.GetCovariances(),TMatrixD::kMultTranspose,propagator);
487 mcsCov.Mult(propagator,tmp);
488 } else mcsCov.Zero();
491 Double_t trackResX2 = currentTrackParam.GetCovariances()(0,0) + mcsCov(0,0);
492 Double_t trackResY2 = currentTrackParam.GetCovariances()(2,2) + mcsCov(2,2);
493 deltaX = cluster->GetX() - currentTrackParam.GetNonBendingCoor();
494 deltaY = cluster->GetY() - currentTrackParam.GetBendingCoor();
496 // fill histograms with cluster not attached to the track
497 ((TH2F*)fResiduals->UncheckedAt(kResidualPerChClusterOut))->Fill(chId+1, deltaX);
498 ((TH2F*)fResiduals->UncheckedAt(kResidualPerChClusterOut+1))->Fill(chId+1, deltaY);
499 ((TH2F*)fResiduals->UncheckedAt(kResidualPerHalfChClusterOut))->Fill(halfChId+1, deltaX);
500 ((TH2F*)fResiduals->UncheckedAt(kResidualPerHalfChClusterOut+1))->Fill(halfChId+1, deltaY);
501 ((TH2F*)fResiduals->UncheckedAt(kResidualPerDEClusterOut))->Fill(fDEIndices[deId], deltaX);
502 ((TH2F*)fResiduals->UncheckedAt(kResidualPerDEClusterOut+1))->Fill(fDEIndices[deId], deltaY);
503 ((TH2F*)fResidualsVsP->UncheckedAt(kResidualInChVsPClusterOut+chId))->Fill(pUncorr, deltaX);
504 ((TH2F*)fResidualsVsP->UncheckedAt(kResidualInChVsPClusterOut+10+chId))->Fill(pUncorr, deltaY);
505 ((TH2F*)fResiduals->UncheckedAt(kTrackResPerCh))->Fill(chId+1, TMath::Sqrt(trackResX2));
506 ((TH2F*)fResiduals->UncheckedAt(kTrackResPerCh+1))->Fill(chId+1, TMath::Sqrt(trackResY2));
507 ((TH2F*)fResiduals->UncheckedAt(kTrackResPerHalfCh))->Fill(halfChId+1, TMath::Sqrt(trackResX2));
508 ((TH2F*)fResiduals->UncheckedAt(kTrackResPerHalfCh+1))->Fill(halfChId+1, TMath::Sqrt(trackResY2));
509 ((TH2F*)fResiduals->UncheckedAt(kTrackResPerDE))->Fill(fDEIndices[deId], TMath::Sqrt(trackResX2));
510 ((TH2F*)fResiduals->UncheckedAt(kTrackResPerDE+1))->Fill(fDEIndices[deId], TMath::Sqrt(trackResY2));
511 ((TH2F*)fResiduals->UncheckedAt(kMCSPerCh))->Fill(chId+1, TMath::Sqrt(mcsCov(0,0)));
512 ((TH2F*)fResiduals->UncheckedAt(kMCSPerCh+1))->Fill(chId+1, TMath::Sqrt(mcsCov(2,2)));
513 ((TH2F*)fResiduals->UncheckedAt(kMCSPerHalfCh))->Fill(halfChId+1, TMath::Sqrt(mcsCov(0,0)));
514 ((TH2F*)fResiduals->UncheckedAt(kMCSPerHalfCh+1))->Fill(halfChId+1, TMath::Sqrt(mcsCov(2,2)));
515 ((TH2F*)fResiduals->UncheckedAt(kMCSPerDE))->Fill(fDEIndices[deId], TMath::Sqrt(mcsCov(0,0)));
516 ((TH2F*)fResiduals->UncheckedAt(kMCSPerDE+1))->Fill(fDEIndices[deId], TMath::Sqrt(mcsCov(2,2)));
517 ((TH2F*)fResiduals->UncheckedAt(kClusterRes2PerCh))->Fill(chId+1, deltaX*deltaX - trackResX2);
518 ((TH2F*)fResiduals->UncheckedAt(kClusterRes2PerCh+1))->Fill(chId+1, deltaY*deltaY - trackResY2);
526 track.AddTrackParamAtCluster(currentTrackParam, *(currentTrackParam.GetClusterPtr()), kTRUE);
532 // Post final data. It will be written to a file with option "RECREATE"
533 PostData(1, fResiduals);
534 PostData(2, fResidualsVsP);
535 PostData(5, fTrackRes);
538 //________________________________________________________________________
539 void AliAnalysisTaskMuonResolution::NotifyRun()
541 /// load necessary data from OCDB corresponding to the first run number and initialize analysis
543 if (fOCDBLoaded) return;
545 AliCDBManager* cdbm = AliCDBManager::Instance();
546 cdbm->SetDefaultStorage(fDefaultStorage.Data());
547 cdbm->SetRun(fCurrentRunNumber);
549 if (!AliMUONCDB::LoadField()) return;
551 if (!AliMUONCDB::LoadMapping()) return;
553 AliMUONRecoParam* recoParam = AliMUONCDB::LoadRecoParam();
554 if (!recoParam) return;
556 AliMUONESDInterface::ResetTracker(recoParam);
558 for (Int_t i = 0; i < AliMUONConstants::NTrackingCh(); i++) {
560 // set the cluster resolution to default if not already set and create output objects
561 if (fClusterResNB[i] < 0.) fClusterResNB[i] = recoParam->GetDefaultNonBendingReso(i);
562 if (fClusterResB[i] < 0.) fClusterResB[i] = recoParam->GetDefaultBendingReso(i);
564 // fill correspondence between DEId and indices for histo (starting from 1)
567 while (!it.IsDone()) {
569 fDEIndices[it.CurrentDEId()] = fNDE;
570 fDEIds[fNDE] = it.CurrentDEId();
578 // recover default storage full name (raw:// cannot be used to set specific storage)
579 TString defaultStorage(cdbm->GetDefaultStorage()->GetType());
580 if (defaultStorage == "alien") defaultStorage += Form("://folder=%s", cdbm->GetDefaultStorage()->GetBaseFolder().Data());
581 else defaultStorage += Form("://%s", cdbm->GetDefaultStorage()->GetBaseFolder().Data());
583 // reset existing geometry/alignment if any
584 if (cdbm->GetEntryCache()->Contains("GRP/Geometry/Data")) cdbm->UnloadFromCache("GRP/Geometry/Data");
585 if (cdbm->GetEntryCache()->Contains("MUON/Align/Data")) cdbm->UnloadFromCache("MUON/Align/Data");
586 if (AliGeomManager::GetGeometry()) AliGeomManager::GetGeometry()->UnlockGeometry();
588 // get original geometry transformer
589 AliGeomManager::LoadGeometry();
590 if (!AliGeomManager::GetGeometry()) return;
591 if (fOldAlignStorage != "none") {
592 if (!fOldAlignStorage.IsNull()) cdbm->SetSpecificStorage("MUON/Align/Data",fOldAlignStorage.Data());
593 else cdbm->SetSpecificStorage("MUON/Align/Data",defaultStorage.Data());
594 AliGeomManager::ApplyAlignObjsFromCDB("MUON");
596 fOldGeoTransformer = new AliMUONGeometryTransformer();
597 fOldGeoTransformer->LoadGeometryData();
599 // get new geometry transformer
600 cdbm->UnloadFromCache("GRP/Geometry/Data");
601 if (fOldAlignStorage != "none") cdbm->UnloadFromCache("MUON/Align/Data");
602 AliGeomManager::GetGeometry()->UnlockGeometry();
603 AliGeomManager::LoadGeometry();
604 if (!AliGeomManager::GetGeometry()) return;
605 if (!fNewAlignStorage.IsNull()) cdbm->SetSpecificStorage("MUON/Align/Data",fNewAlignStorage.Data());
606 else cdbm->SetSpecificStorage("MUON/Align/Data",defaultStorage.Data());
607 AliGeomManager::ApplyAlignObjsFromCDB("MUON");
608 fNewGeoTransformer = new AliMUONGeometryTransformer();
609 fNewGeoTransformer->LoadGeometryData();
613 // load geometry for track extrapolation to vertex
614 if (cdbm->GetEntryCache()->Contains("GRP/Geometry/Data")) cdbm->UnloadFromCache("GRP/Geometry/Data");
615 if (AliGeomManager::GetGeometry()) AliGeomManager::GetGeometry()->UnlockGeometry();
616 AliGeomManager::LoadGeometry();
617 if (!AliGeomManager::GetGeometry()) return;
621 // print starting chamber resolution if required
622 if (fPrintClResPerCh) {
623 printf("\nstarting chamber resolution:\n");
624 printf(" - non-bending:");
625 for (Int_t i = 0; i < AliMUONConstants::NTrackingCh(); i++) printf((i==0)?" %5.3f":", %5.3f",fClusterResNB[i]);
626 printf("\n - bending:");
627 for (Int_t i = 0; i < AliMUONConstants::NTrackingCh(); i++) printf((i==0)?" %6.4f":", %6.4f",fClusterResB[i]);
633 UserCreateOutputObjects();
637 //________________________________________________________________________
638 void AliAnalysisTaskMuonResolution::Terminate(Option_t *)
640 /// compute final results
642 // recover output objects
643 fResiduals = static_cast<TObjArray*> (GetOutputData(1));
644 fResidualsVsP = static_cast<TObjArray*> (GetOutputData(2));
645 fTrackRes = static_cast<TObjArray*> (GetOutputData(5));
646 if (!fResiduals || !fResidualsVsP || !fTrackRes) return;
649 fLocalChi2 = new TObjArray(1000);
650 fLocalChi2->SetOwner();
651 fChamberRes = new TObjArray(1000);
652 fChamberRes->SetOwner();
656 const char* axes[2] = {"X", "Y"};
657 Double_t newClusterRes[2][10], newClusterResErr[2][10];
658 fNDE = ((TH2F*)fResiduals->UncheckedAt(kResidualPerDEClusterIn))->GetXaxis()->GetNbins();
660 for (Int_t ia = 0; ia < 2; ia++) {
662 g = new TGraphErrors(AliMUONConstants::NTrackingCh());
663 g->SetName(Form("gResidual%sPerChMean_ClusterIn",axes[ia]));
664 g->SetTitle(Form("cluster-track residual-%s per Ch: mean (cluster in);chamber ID;<#Delta_{%s}> (cm)",axes[ia],axes[ia]));
665 g->SetMarkerStyle(kFullDotLarge);
666 fChamberRes->AddAtAndExpand(g, kResidualPerChMeanClusterIn+ia);
667 g = new TGraphErrors(AliMUONConstants::NTrackingCh());
668 g->SetName(Form("gResidual%sPerChMean_ClusterOut",axes[ia]));
669 g->SetTitle(Form("cluster-track residual-%s per Ch: mean (cluster out);chamber ID;<#Delta_{%s}> (cm)",axes[ia],axes[ia]));
670 g->SetMarkerStyle(kFullDotLarge);
671 fChamberRes->AddAtAndExpand(g, kResidualPerChMeanClusterOut+ia);
673 g = new TGraphErrors(2*AliMUONConstants::NTrackingCh());
674 g->SetName(Form("gResidual%sPerHalfChMean_ClusterIn",axes[ia]));
675 g->SetTitle(Form("cluster-track residual-%s per half Ch: mean (cluster in);half chamber ID;<#Delta_{%s}> (cm)",axes[ia],axes[ia]));
676 g->SetMarkerStyle(kFullDotLarge);
677 fChamberRes->AddAtAndExpand(g, kResidualPerHalfChMeanClusterIn+ia);
678 g = new TGraphErrors(2*AliMUONConstants::NTrackingCh());
679 g->SetName(Form("gResidual%sPerHalfChMean_ClusterOut",axes[ia]));
680 g->SetTitle(Form("cluster-track residual-%s per half Ch: mean (cluster out);half chamber ID;<#Delta_{%s}> (cm)",axes[ia],axes[ia]));
681 g->SetMarkerStyle(kFullDotLarge);
682 fChamberRes->AddAtAndExpand(g, kResidualPerHalfChMeanClusterOut+ia);
684 g = new TGraphErrors(fNDE);
685 g->SetName(Form("gResidual%sPerDEMean_ClusterIn",axes[ia]));
686 g->SetTitle(Form("cluster-track residual-%s per DE: mean (cluster in);DE ID;<#Delta_{%s}> (cm)",axes[ia],axes[ia]));
687 g->SetMarkerStyle(kFullDotLarge);
688 fChamberRes->AddAtAndExpand(g, kResidualPerDEMeanClusterIn+ia);
689 g = new TGraphErrors(fNDE);
690 g->SetName(Form("gResidual%sPerDEMean_ClusterOut",axes[ia]));
691 g->SetTitle(Form("cluster-track residual-%s per DE: mean (cluster out);DE ID;<#Delta_{%s}> (cm)",axes[ia],axes[ia]));
692 g->SetMarkerStyle(kFullDotLarge);
693 fChamberRes->AddAtAndExpand(g, kResidualPerDEMeanClusterOut+ia);
695 g = new TGraphErrors(AliMUONConstants::NTrackingCh());
696 g->SetName(Form("gResidual%sPerChSigma_ClusterIn",axes[ia]));
697 g->SetTitle(Form("cluster-track residual-%s per Ch: sigma (cluster in);chamber ID;#sigma_{%s} (cm)",axes[ia],axes[ia]));
698 g->SetMarkerStyle(kFullDotLarge);
699 fChamberRes->AddAtAndExpand(g, kResidualPerChSigmaClusterIn+ia);
700 g = new TGraphErrors(AliMUONConstants::NTrackingCh());
701 g->SetName(Form("gResidual%sPerChSigma_ClusterOut",axes[ia]));
702 g->SetTitle(Form("cluster-track residual-%s per Ch: sigma (cluster out);chamber ID;#sigma_{%s} (cm)",axes[ia],axes[ia]));
703 g->SetMarkerStyle(kFullDotLarge);
704 fChamberRes->AddAtAndExpand(g, kResidualPerChSigmaClusterOut+ia);
706 g = new TGraphErrors(AliMUONConstants::NTrackingCh());
707 g->SetName(Form("gResidual%sPerChDispersion_ClusterOut",axes[ia]));
708 g->SetTitle(Form("cluster-track residual-%s per Ch: dispersion (cluster out);chamber ID;#sigma_{%s} (cm)",axes[ia],axes[ia]));
709 g->SetMarkerStyle(kFullDotLarge);
710 fChamberRes->AddAtAndExpand(g, kResidualPerChDispersionClusterOut+ia);
712 g = new TGraphErrors(AliMUONConstants::NTrackingCh());
713 g->SetName(Form("gCombinedResidual%sPerChSigma",axes[ia]));
714 g->SetTitle(Form("combined cluster-track residual-%s per Ch: sigma;chamber ID;#sigma_{%s} (cm)",axes[ia],axes[ia]));
715 g->SetMarkerStyle(kFullDotLarge);
716 fChamberRes->AddAtAndExpand(g, kCombinedResidualPerChSigma+ia);
718 g = new TGraphErrors(2*AliMUONConstants::NTrackingCh());
719 g->SetName(Form("gCombinedResidual%sPerHalfChSigma",axes[ia]));
720 g->SetTitle(Form("combined cluster-track residual-%s per half Ch: sigma;half chamber ID;#sigma_{%s} (cm)",axes[ia],axes[ia]));
721 g->SetMarkerStyle(kFullDotLarge);
722 fChamberRes->AddAtAndExpand(g, kCombinedResidualPerHalfChSigma+ia);
724 g = new TGraphErrors(fNDE);
725 g->SetName(Form("gCombinedResidual%sPerDESigma",axes[ia]));
726 g->SetTitle(Form("combined cluster-track residual-%s per DE: sigma;DE ID;#sigma_{%s} (cm)",axes[ia],axes[ia]));
727 g->SetMarkerStyle(kFullDotLarge);
728 fChamberRes->AddAtAndExpand(g, kCombinedResidualPerDESigma+ia);
730 mg = new TMultiGraph(Form("mgCombinedResidual%sSigmaVsP",axes[ia]),Form("cluster %s-resolution per chamber versus momentum;p (GeV/c^{2});#sigma_{%s} (cm)",axes[ia],axes[ia]));
731 for (Int_t i = 0; i < AliMUONConstants::NTrackingCh(); i++) {
732 g = new TGraphErrors(((TH2F*)fResidualsVsP->UncheckedAt(kResidualInChVsPClusterIn+10*ia+i))->GetNbinsX());
733 g->SetName(Form("gRes%sVsP_ch%d",axes[ia],i+1));
734 g->SetMarkerStyle(kFullDotMedium);
735 g->SetMarkerColor(i+1+i/9);
738 fChamberRes->AddAtAndExpand(mg, kCombinedResidualSigmaVsP+ia);
740 g = new TGraphErrors(AliMUONConstants::NTrackingCh());
741 g->SetName(Form("gTrackRes%sPerCh",axes[ia]));
742 g->SetTitle(Form("track <#sigma_{%s}> per Ch;chamber ID;#sigma_{%s} (cm)",axes[ia],axes[ia]));
743 g->SetMarkerStyle(kFullDotLarge);
744 fChamberRes->AddAtAndExpand(g, kTrackResPerChMean+ia);
746 g = new TGraphErrors(AliMUONConstants::NTrackingCh());
747 g->SetName(Form("gMCS%sPerCh",axes[ia]));
748 g->SetTitle(Form("MCS %s-dispersion of extrapolated track per Ch;chamber ID;#sigma_{%s} (cm)",axes[ia],axes[ia]));
749 g->SetMarkerStyle(kFullDotLarge);
750 fChamberRes->AddAtAndExpand(g, kMCSPerChMean+ia);
752 g = new TGraphErrors(AliMUONConstants::NTrackingCh());
753 g->SetName(Form("gClusterRes%sPerCh",axes[ia]));
754 g->SetTitle(Form("cluster <#sigma_{%s}> per Ch;chamber ID;#sigma_{%s} (cm)",axes[ia],axes[ia]));
755 g->SetMarkerStyle(kFullDotLarge);
756 fChamberRes->AddAtAndExpand(g, kClusterResPerCh+ia);
758 g = new TGraphErrors(2*AliMUONConstants::NTrackingCh());
759 g->SetName(Form("gClusterRes%sPerHalfCh",axes[ia]));
760 g->SetTitle(Form("cluster <#sigma_{%s}> per half Ch;half chamber ID;#sigma_{%s} (cm)",axes[ia],axes[ia]));
761 g->SetMarkerStyle(kFullDotLarge);
762 fChamberRes->AddAtAndExpand(g, kClusterResPerHalfCh+ia);
764 g = new TGraphErrors(fNDE);
765 g->SetName(Form("gClusterRes%sPerDE",axes[ia]));
766 g->SetTitle(Form("cluster <#sigma_{%s}> per DE;DE ID;#sigma_{%s} (cm)",axes[ia],axes[ia]));
767 g->SetMarkerStyle(kFullDotLarge);
768 fChamberRes->AddAtAndExpand(g, kClusterResPerDE+ia);
770 g = new TGraphErrors(AliMUONConstants::NTrackingCh());
771 g->SetName(Form("gCalcClusterRes%sPerCh",axes[ia]));
772 g->SetTitle(Form("calculated cluster <#sigma_{%s}> per Ch;chamber ID;#sigma_{%s} (cm)",axes[ia],axes[ia]));
773 g->SetMarkerStyle(kFullDotLarge);
774 fChamberRes->AddAtAndExpand(g, kCalcClusterResPerCh+ia);
776 g = new TGraphErrors(AliMUONConstants::NTrackingCh());
777 g->SetName(Form("gLocalChi2%sPerChMean",axes[ia]));
778 g->SetTitle(Form("local chi2-%s per Ch: mean;chamber ID;<local #chi^{2}_{%s}>",axes[ia],axes[ia]));
779 g->SetMarkerStyle(kFullDotLarge);
780 fLocalChi2->AddAtAndExpand(g, kLocalChi2PerChMean+ia);
782 g = new TGraphErrors(fNDE);
783 g->SetName(Form("gLocalChi2%sPerDEMean",axes[ia]));
784 g->SetTitle(Form("local chi2-%s per DE: mean;DE ID;<local #chi^{2}_{%s}>",axes[ia],axes[ia]));
785 g->SetMarkerStyle(kFullDotLarge);
786 fLocalChi2->AddAtAndExpand(g, kLocalChi2PerDEMean+ia);
788 // compute residual mean and dispersion and averaged local chi2 per chamber and half chamber
789 Double_t meanIn, meanInErr, meanOut, meanOutErr, sigma, sigmaIn, sigmaInErr, sigmaOut, sigmaOutErr;
790 Double_t sigmaTrack, sigmaTrackErr, sigmaMCS, sigmaMCSErr, clusterRes, clusterResErr, sigmaCluster, sigmaClusterErr;
791 for (Int_t i = 0; i < AliMUONConstants::NTrackingCh(); i++) {
794 TH1D *tmp = ((TH2F*)fResiduals->UncheckedAt(kResidualPerChClusterIn+ia))->ProjectionY("tmp",i+1,i+1,"e");
795 GetMean(tmp, meanIn, meanInErr, (TGraphErrors*)fChamberRes->UncheckedAt(kResidualPerChMeanClusterIn+ia), i, i+1);
796 GetRMS(tmp, sigmaIn, sigmaInErr, (TGraphErrors*)fChamberRes->UncheckedAt(kResidualPerChSigmaClusterIn+ia), i, i+1);
799 tmp = ((TH2F*)fResiduals->UncheckedAt(kResidualPerChClusterOut+ia))->ProjectionY("tmp",i+1,i+1,"e");
800 GetMean(tmp, meanOut, meanOutErr, (TGraphErrors*)fChamberRes->UncheckedAt(kResidualPerChMeanClusterOut+ia), i, i+1);
801 GetRMS(tmp, sigmaOut, sigmaOutErr, (TGraphErrors*)fChamberRes->UncheckedAt(kResidualPerChSigmaClusterOut+ia), i, i+1);
804 if (fCorrectForSystematics) {
805 sigma = TMath::Sqrt(sigmaIn*sigmaIn + meanIn*meanIn);
806 sigmaInErr = (sigma>0) ? TMath::Sqrt(sigmaIn*sigmaIn*sigmaInErr*sigmaInErr + meanIn*meanIn*meanInErr*meanInErr) / sigma : 0.;
808 sigma = TMath::Sqrt(sigmaOut*sigmaOut + meanOut*meanOut);
809 sigmaOutErr = (sigma>0) ? TMath::Sqrt(sigmaOut*sigmaOut*sigmaOutErr*sigmaOutErr + meanOut*meanOut*meanOutErr*meanOutErr) / sigma : 0.;
812 ((TGraphErrors*)fChamberRes->UncheckedAt(kResidualPerChDispersionClusterOut+ia))->SetPoint(i, i+1, sigmaOut);
813 ((TGraphErrors*)fChamberRes->UncheckedAt(kResidualPerChDispersionClusterOut+ia))->SetPointError(i, 0., sigmaOutErr);
815 clusterRes = TMath::Sqrt(sigmaIn*sigmaOut);
816 // clusterResErr = (clusterRes > 0.) ? 0.5 * TMath::Sqrt(sigmaInErr*sigmaInErr*sigmaOut*sigmaOut + sigmaIn*sigmaIn*sigmaOutErr*sigmaOutErr) / clusterRes : 0.;
817 clusterResErr = TMath::Sqrt(sigmaInErr*sigmaOutErr);
818 ((TGraphErrors*)fChamberRes->UncheckedAt(kCombinedResidualPerChSigma+ia))->SetPoint(i, i+1, clusterRes);
819 ((TGraphErrors*)fChamberRes->UncheckedAt(kCombinedResidualPerChSigma+ia))->SetPointError(i, 0., clusterResErr);
820 newClusterRes[ia][i] = clusterRes;
821 newClusterResErr[ia][i] = clusterResErr;
824 tmp = ((TH2F*)fResiduals->UncheckedAt(kTrackResPerCh+ia))->ProjectionY("tmp",i+1,i+1,"e");
825 GetMean(tmp, sigmaTrack, sigmaTrackErr, (TGraphErrors*)fChamberRes->UncheckedAt(kTrackResPerChMean+ia), i, i+1, kFALSE, kFALSE);
828 tmp = ((TH2F*)fResiduals->UncheckedAt(kMCSPerCh+ia))->ProjectionY("tmp",i+1,i+1,"e");
829 GetMean(tmp, sigmaMCS, sigmaMCSErr, (TGraphErrors*)fChamberRes->UncheckedAt(kMCSPerChMean+ia), i, i+1, kFALSE, kFALSE);
832 sigmaCluster = sigmaOut*sigmaOut - sigmaTrack*sigmaTrack;
833 if (sigmaCluster > 0.) {
834 sigmaCluster = TMath::Sqrt(sigmaCluster);
835 sigmaClusterErr = TMath::Sqrt(sigmaOut*sigmaOut*sigmaOutErr*sigmaOutErr + sigmaTrack*sigmaTrack*sigmaTrackErr*sigmaTrackErr) / sigmaCluster;
838 sigmaClusterErr = 0.;
840 ((TGraphErrors*)fChamberRes->UncheckedAt(kClusterResPerCh+ia))->SetPoint(i, i+1, sigmaCluster);
841 ((TGraphErrors*)fChamberRes->UncheckedAt(kClusterResPerCh+ia))->SetPointError(i, 0., sigmaClusterErr);
844 tmp = ((TH2F*)fResiduals->UncheckedAt(kClusterRes2PerCh+ia))->ProjectionY("tmp",i+1,i+1,"e");
846 clusterRes = tmp->GetMean();
847 if (clusterRes > 0.) {
848 ((TGraphErrors*)fChamberRes->UncheckedAt(kCalcClusterResPerCh+ia))->SetPoint(i, i+1, TMath::Sqrt(clusterRes));
849 ((TGraphErrors*)fChamberRes->UncheckedAt(kCalcClusterResPerCh+ia))->SetPointError(i, 0., 0.5 * tmp->GetMeanError() / TMath::Sqrt(clusterRes));
851 ((TGraphErrors*)fChamberRes->UncheckedAt(kCalcClusterResPerCh+ia))->SetPoint(i, i+1, 0.);
852 ((TGraphErrors*)fChamberRes->UncheckedAt(kCalcClusterResPerCh+ia))->SetPointError(i, 0., 0.);
857 FillSigmaClusterVsP((TH2F*)fResidualsVsP->UncheckedAt(kResidualInChVsPClusterIn+10*ia+i),
858 (TH2F*)fResidualsVsP->UncheckedAt(kResidualInChVsPClusterOut+10*ia+i),
859 (TGraphErrors*)((TMultiGraph*)fChamberRes->UncheckedAt(kCombinedResidualSigmaVsP+ia))->GetListOfGraphs()->FindObject(Form("gRes%sVsP_ch%d",axes[ia],i+1)));
861 // compute residual mean and dispersion per half chamber
862 for (Int_t j = 0; j < 2; j++) {
866 tmp = ((TH2F*)fResiduals->UncheckedAt(kResidualPerHalfChClusterIn+ia))->ProjectionY("tmp",k+1,k+1,"e");
867 GetMean(tmp, meanIn, meanInErr, (TGraphErrors*)fChamberRes->UncheckedAt(kResidualPerHalfChMeanClusterIn+ia), k, k+1);
868 GetRMS(tmp, sigmaIn, sigmaInErr);
871 tmp = ((TH2F*)fResiduals->UncheckedAt(kResidualPerHalfChClusterOut+ia))->ProjectionY("tmp",k+1,k+1,"e");
872 GetMean(tmp, meanOut, meanOutErr, (TGraphErrors*)fChamberRes->UncheckedAt(kResidualPerHalfChMeanClusterOut+ia), k, k+1);
873 GetRMS(tmp, sigmaOut, sigmaOutErr);
876 if (fCorrectForSystematics) {
877 sigma = TMath::Sqrt(sigmaIn*sigmaIn + meanIn*meanIn);
878 sigmaInErr = (sigma>0) ? TMath::Sqrt(sigmaIn*sigmaIn*sigmaInErr*sigmaInErr + meanIn*meanIn*meanInErr*meanInErr) / sigma : 0.;
880 sigma = TMath::Sqrt(sigmaOut*sigmaOut + meanOut*meanOut);
881 sigmaOutErr = (sigma>0) ? TMath::Sqrt(sigmaOut*sigmaOut*sigmaOutErr*sigmaOutErr + meanOut*meanOut*meanOutErr*meanOutErr) / sigma : 0.;
885 clusterRes = TMath::Sqrt(sigmaIn*sigmaOut);
886 // clusterResErr = (clusterRes > 0.) ? 0.5 * TMath::Sqrt(sigmaInErr*sigmaInErr*sigmaOut*sigmaOut + sigmaIn*sigmaIn*sigmaOutErr*sigmaOutErr) / clusterRes : 0.;
887 clusterResErr = TMath::Sqrt(sigmaInErr*sigmaOutErr);
888 ((TGraphErrors*)fChamberRes->UncheckedAt(kCombinedResidualPerHalfChSigma+ia))->SetPoint(k, k+1, clusterRes);
889 ((TGraphErrors*)fChamberRes->UncheckedAt(kCombinedResidualPerHalfChSigma+ia))->SetPointError(k, 0., clusterResErr);
892 tmp = ((TH2F*)fResiduals->UncheckedAt(kTrackResPerHalfCh+ia))->ProjectionY("tmp",k+1,k+1,"e");
893 GetMean(tmp, sigmaTrack, sigmaTrackErr, 0x0, 0, 0, kFALSE, kFALSE);
896 tmp = ((TH2F*)fResiduals->UncheckedAt(kMCSPerHalfCh+ia))->ProjectionY("tmp",k+1,k+1,"e");
897 GetMean(tmp, sigmaMCS, sigmaMCSErr, 0x0, 0, 0, kFALSE, kFALSE);
900 sigmaCluster = sigmaOut*sigmaOut - sigmaTrack*sigmaTrack;
901 if (sigmaCluster > 0.) {
902 sigmaCluster = TMath::Sqrt(sigmaCluster);
903 sigmaClusterErr = TMath::Sqrt(sigmaOut*sigmaOut*sigmaOutErr*sigmaOutErr + sigmaTrack*sigmaTrack*sigmaTrackErr*sigmaTrackErr) / sigmaCluster;
906 sigmaClusterErr = 0.;
908 ((TGraphErrors*)fChamberRes->UncheckedAt(kClusterResPerHalfCh+ia))->SetPoint(k, k+1, sigmaCluster);
909 ((TGraphErrors*)fChamberRes->UncheckedAt(kClusterResPerHalfCh+ia))->SetPointError(k, 0., sigmaClusterErr);
913 // compute averaged local chi2
914 tmp = ((TH2F*)fResiduals->UncheckedAt(kLocalChi2PerCh+ia))->ProjectionY("tmp",i+1,i+1,"e");
915 ((TGraphErrors*)fLocalChi2->UncheckedAt(kLocalChi2PerChMean+ia))->SetPoint(i, i+1, tmp->GetMean());
916 ((TGraphErrors*)fLocalChi2->UncheckedAt(kLocalChi2PerChMean+ia))->SetPointError(i, 0., tmp->GetMeanError());
921 // compute residual mean and dispersion per DE
922 for (Int_t i = 0; i < fNDE; i++) {
925 TH1D *tmp = ((TH2F*)fResiduals->UncheckedAt(kResidualPerDEClusterIn+ia))->ProjectionY("tmp",i+1,i+1,"e");
926 GetMean(tmp, meanIn, meanInErr, (TGraphErrors*)fChamberRes->UncheckedAt(kResidualPerDEMeanClusterIn+ia), i, i+1);
927 GetRMS(tmp, sigmaIn, sigmaInErr);
930 tmp = ((TH2F*)fResiduals->UncheckedAt(kResidualPerDEClusterOut+ia))->ProjectionY("tmp",i+1,i+1,"e");
931 GetMean(tmp, meanOut, meanOutErr, (TGraphErrors*)fChamberRes->UncheckedAt(kResidualPerDEMeanClusterOut+ia), i, i+1);
932 GetRMS(tmp, sigmaOut, sigmaOutErr);
935 if (fCorrectForSystematics) {
936 sigma = TMath::Sqrt(sigmaIn*sigmaIn + meanIn*meanIn);
937 sigmaInErr = (sigma>0) ? TMath::Sqrt(sigmaIn*sigmaIn*sigmaInErr*sigmaInErr + meanIn*meanIn*meanInErr*meanInErr) / sigma : 0.;
939 sigma = TMath::Sqrt(sigmaOut*sigmaOut + meanOut*meanOut);
940 sigmaOutErr = (sigma>0) ? TMath::Sqrt(sigmaOut*sigmaOut*sigmaOutErr*sigmaOutErr + meanOut*meanOut*meanOutErr*meanOutErr) / sigma : 0.;
944 clusterRes = TMath::Sqrt(sigmaIn*sigmaOut);
945 // clusterResErr = (clusterRes > 0.) ? 0.5 * TMath::Sqrt(sigmaInErr*sigmaInErr*sigmaOut*sigmaOut + sigmaIn*sigmaIn*sigmaOutErr*sigmaOutErr) / clusterRes : 0.;
946 clusterResErr = TMath::Sqrt(sigmaInErr*sigmaOutErr);
947 ((TGraphErrors*)fChamberRes->UncheckedAt(kCombinedResidualPerDESigma+ia))->SetPoint(i, i+1, clusterRes);
948 ((TGraphErrors*)fChamberRes->UncheckedAt(kCombinedResidualPerDESigma+ia))->SetPointError(i, 0., clusterResErr);
951 tmp = ((TH2F*)fResiduals->UncheckedAt(kTrackResPerDE+ia))->ProjectionY("tmp",i+1,i+1,"e");
952 GetMean(tmp, sigmaTrack, sigmaTrackErr, 0x0, 0, 0, kFALSE, kFALSE);
955 tmp = ((TH2F*)fResiduals->UncheckedAt(kMCSPerDE+ia))->ProjectionY("tmp",i+1,i+1,"e");
956 GetMean(tmp, sigmaMCS, sigmaMCSErr, 0x0, 0, 0, kFALSE, kFALSE);
959 sigmaCluster = sigmaOut*sigmaOut - sigmaTrack*sigmaTrack;
960 if (sigmaCluster > 0.) {
961 sigmaCluster = TMath::Sqrt(sigmaCluster);
962 sigmaClusterErr = TMath::Sqrt(sigmaOut*sigmaOut*sigmaOutErr*sigmaOutErr + sigmaTrack*sigmaTrack*sigmaTrackErr*sigmaTrackErr) / sigmaCluster;
965 sigmaClusterErr = 0.;
967 ((TGraphErrors*)fChamberRes->UncheckedAt(kClusterResPerDE+ia))->SetPoint(i, i+1, sigmaCluster);
968 ((TGraphErrors*)fChamberRes->UncheckedAt(kClusterResPerDE+ia))->SetPointError(i, 0., sigmaClusterErr);
970 // compute averaged local chi2
971 tmp = ((TH2F*)fResiduals->UncheckedAt(kLocalChi2PerDE+ia))->ProjectionY("tmp",i+1,i+1,"e");
972 ((TGraphErrors*)fLocalChi2->UncheckedAt(kLocalChi2PerDEMean+ia))->SetPoint(i, i+1, tmp->GetMean());
973 ((TGraphErrors*)fLocalChi2->UncheckedAt(kLocalChi2PerDEMean+ia))->SetPointError(i, 0., tmp->GetMeanError());
978 // set half-chamber graph labels
979 TAxis* xAxis = ((TH2F*)fResiduals->UncheckedAt(kResidualPerHalfChClusterIn+ia))->GetXaxis();
980 ((TGraphErrors*)fChamberRes->UncheckedAt(kResidualPerHalfChMeanClusterIn+ia))->GetXaxis()->Set(20, 0.5, 20.5);
981 ((TGraphErrors*)fChamberRes->UncheckedAt(kResidualPerHalfChMeanClusterOut+ia))->GetXaxis()->Set(20, 0.5, 20.5);
982 ((TGraphErrors*)fChamberRes->UncheckedAt(kCombinedResidualPerHalfChSigma+ia))->GetXaxis()->Set(20, 0.5, 20.5);
983 ((TGraphErrors*)fChamberRes->UncheckedAt(kClusterResPerHalfCh+ia))->GetXaxis()->Set(20, 0.5, 20.5);
984 for (Int_t i = 1; i <= 20; i++) {
985 const char* label = xAxis->GetBinLabel(i);
986 ((TGraphErrors*)fChamberRes->UncheckedAt(kResidualPerHalfChMeanClusterIn+ia))->GetXaxis()->SetBinLabel(i, label);
987 ((TGraphErrors*)fChamberRes->UncheckedAt(kResidualPerHalfChMeanClusterOut+ia))->GetXaxis()->SetBinLabel(i, label);
988 ((TGraphErrors*)fChamberRes->UncheckedAt(kCombinedResidualPerHalfChSigma+ia))->GetXaxis()->SetBinLabel(i, label);
989 ((TGraphErrors*)fChamberRes->UncheckedAt(kClusterResPerHalfCh+ia))->GetXaxis()->SetBinLabel(i, label);
992 // set DE graph labels
993 xAxis = ((TH2F*)fResiduals->UncheckedAt(kResidualPerDEClusterOut+ia))->GetXaxis();
994 ((TGraphErrors*)fChamberRes->UncheckedAt(kResidualPerDEMeanClusterIn+ia))->GetXaxis()->Set(fNDE, 0.5, fNDE+0.5);
995 ((TGraphErrors*)fChamberRes->UncheckedAt(kResidualPerDEMeanClusterOut+ia))->GetXaxis()->Set(fNDE, 0.5, fNDE+0.5);
996 ((TGraphErrors*)fChamberRes->UncheckedAt(kCombinedResidualPerDESigma+ia))->GetXaxis()->Set(fNDE, 0.5, fNDE+0.5);
997 ((TGraphErrors*)fChamberRes->UncheckedAt(kClusterResPerDE+ia))->GetXaxis()->Set(fNDE, 0.5, fNDE+0.5);
998 ((TGraphErrors*)fLocalChi2->UncheckedAt(kLocalChi2PerDEMean+ia))->GetXaxis()->Set(fNDE, 0.5, fNDE+0.5);
999 for (Int_t i = 1; i <= fNDE; i++) {
1000 const char* label = xAxis->GetBinLabel(i);
1001 ((TGraphErrors*)fChamberRes->UncheckedAt(kResidualPerDEMeanClusterIn+ia))->GetXaxis()->SetBinLabel(i, label);
1002 ((TGraphErrors*)fChamberRes->UncheckedAt(kResidualPerDEMeanClusterOut+ia))->GetXaxis()->SetBinLabel(i, label);
1003 ((TGraphErrors*)fChamberRes->UncheckedAt(kCombinedResidualPerDESigma+ia))->GetXaxis()->SetBinLabel(i, label);
1004 ((TGraphErrors*)fChamberRes->UncheckedAt(kClusterResPerDE+ia))->GetXaxis()->SetBinLabel(i, label);
1005 ((TGraphErrors*)fLocalChi2->UncheckedAt(kLocalChi2PerDEMean+ia))->GetXaxis()->SetBinLabel(i, label);
1010 // compute averaged local chi2 per chamber (X+Y)
1011 TH2F* h2 = (TH2F*)fResiduals->UncheckedAt(kLocalChi2PerCh+2);
1012 g = new TGraphErrors(AliMUONConstants::NTrackingCh());
1013 g->SetName("gLocalChi2PerChMean");
1014 g->SetTitle("local chi2 per Ch: mean;chamber ID;<local #chi^{2}>");
1015 g->SetMarkerStyle(kFullDotLarge);
1016 fLocalChi2->AddAtAndExpand(g, kLocalChi2PerChMean+2);
1017 for (Int_t i = 0; i < AliMUONConstants::NTrackingCh(); i++) {
1018 TH1D* tmp = h2->ProjectionY("tmp",i+1,i+1,"e");
1019 g->SetPoint(i, i+1, tmp->GetMean());
1020 g->SetPointError(i, 0., tmp->GetMeanError());
1024 // compute averaged local chi2 per DE (X+Y)
1025 h2 = (TH2F*)fResiduals->UncheckedAt(kLocalChi2PerDE+2);
1026 g = new TGraphErrors(fNDE);
1027 g->SetName("gLocalChi2PerDEMean");
1028 g->SetTitle("local chi2 per DE: mean;DE ID;<local #chi^{2}>");
1029 g->SetMarkerStyle(kFullDotLarge);
1030 fLocalChi2->AddAtAndExpand(g, kLocalChi2PerDEMean+2);
1031 for (Int_t i = 0; i < fNDE; i++) {
1032 TH1D* tmp = h2->ProjectionY("tmp",i+1,i+1,"e");
1033 g->SetPoint(i, i+1, tmp->GetMean());
1034 g->SetPointError(i, 0., tmp->GetMeanError());
1039 g->GetXaxis()->Set(fNDE, 0.5, fNDE+0.5);
1040 for (Int_t i = 1; i <= fNDE; i++) {
1041 const char* label = h2->GetXaxis()->GetBinLabel(i);
1042 g->GetXaxis()->SetBinLabel(i, label);
1046 fCanvases = new TObjArray(1000);
1047 fCanvases->SetOwner();
1049 TLegend *lResPerChMean = new TLegend(0.75,0.85,0.99,0.99);
1050 TLegend *lResPerChSigma1 = new TLegend(0.75,0.85,0.99,0.99);
1051 TLegend *lResPerChSigma2 = new TLegend(0.75,0.85,0.99,0.99);
1052 TLegend *lResPerChSigma3 = new TLegend(0.75,0.85,0.99,0.99);
1054 TCanvas* cResPerCh = new TCanvas("cResPerCh","cResPerCh",1200,500);
1055 cResPerCh->Divide(4,2);
1056 for (Int_t ia = 0; ia < 2; ia++) {
1057 cResPerCh->cd(1+4*ia);
1058 g = (TGraphErrors*)fChamberRes->UncheckedAt(kResidualPerChMeanClusterOut+ia);
1060 g->SetMarkerColor(2);
1062 if (ia == 0) lResPerChMean->AddEntry(g,"cluster out","PL");
1063 g = (TGraphErrors*)fChamberRes->UncheckedAt(kResidualPerChMeanClusterIn+ia);
1065 g->SetMarkerColor(4);
1067 if (ia == 0) lResPerChMean->AddEntry(g,"cluster in","PL");
1068 if (ia == 0) lResPerChMean->Draw();
1069 else lResPerChMean->DrawClone();
1070 cResPerCh->cd(2+4*ia);
1071 g = (TGraphErrors*)fChamberRes->UncheckedAt(kResidualPerChSigmaClusterOut+ia);
1074 g->SetMarkerColor(2);
1076 if (ia == 0) lResPerChSigma1->AddEntry(g,"cluster out","PL");
1077 g = (TGraphErrors*)fChamberRes->UncheckedAt(kResidualPerChSigmaClusterIn+ia);
1079 g->SetMarkerColor(4);
1081 if (ia == 0) lResPerChSigma1->AddEntry(g,"cluster in","PL");
1082 g = (TGraphErrors*)fChamberRes->UncheckedAt(kMCSPerChMean+ia);
1084 g->SetMarkerColor(5);
1086 if (ia == 0) lResPerChSigma1->AddEntry(g,"MCS","PL");
1087 g = (TGraphErrors*)fChamberRes->UncheckedAt(kCombinedResidualPerChSigma+ia);
1089 g->SetMarkerColor(3);
1091 if (ia == 0) lResPerChSigma1->AddEntry(g,"combined 1","PL");
1092 if (ia == 0) lResPerChSigma1->Draw();
1093 else lResPerChSigma1->DrawClone();
1094 cResPerCh->cd(3+4*ia);
1095 g = (TGraphErrors*)fChamberRes->UncheckedAt(kResidualPerChDispersionClusterOut+ia);
1098 g->SetMarkerColor(2);
1100 if (ia == 0) lResPerChSigma2->AddEntry(g,"cluster out","PL");
1101 g = (TGraphErrors*)fChamberRes->UncheckedAt(kMCSPerChMean+ia);
1103 if (ia == 0) lResPerChSigma2->AddEntry(g,"MCS","PL");
1104 g = (TGraphErrors*)fChamberRes->UncheckedAt(kTrackResPerChMean+ia);
1106 g->SetMarkerColor(4);
1108 if (ia == 0) lResPerChSigma2->AddEntry(g,"track res.","PL");
1109 g = (TGraphErrors*)fChamberRes->UncheckedAt(kClusterResPerCh+ia);
1111 if (ia == 0) lResPerChSigma2->AddEntry(g,"combined 2","PL");
1112 if (ia == 0) lResPerChSigma2->Draw();
1113 else lResPerChSigma2->DrawClone();
1114 cResPerCh->cd(4+4*ia);
1115 g = (TGraphErrors*)fChamberRes->UncheckedAt(kCombinedResidualPerChSigma+ia);
1118 if (ia == 0) lResPerChSigma3->AddEntry(g,"combined 1","PL");
1119 g = (TGraphErrors*)fChamberRes->UncheckedAt(kClusterResPerCh+ia);
1121 if (ia == 0) lResPerChSigma3->AddEntry(g,"combined 2","PL");
1122 if (ia == 0) lResPerChSigma3->Draw();
1123 else lResPerChSigma3->DrawClone();
1125 fCanvases->AddAtAndExpand(cResPerCh, kResPerCh);
1127 TCanvas* cResPerHalfCh = new TCanvas("cResPerHalfCh","cResPerHalfCh",1200,500);
1128 cResPerHalfCh->Divide(2,2);
1129 for (Int_t ia = 0; ia < 2; ia++) {
1130 cResPerHalfCh->cd(1+2*ia);
1131 g = (TGraphErrors*)fChamberRes->UncheckedAt(kResidualPerHalfChMeanClusterOut+ia);
1133 g->SetMarkerColor(2);
1135 g = (TGraphErrors*)fChamberRes->UncheckedAt(kResidualPerHalfChMeanClusterIn+ia);
1137 g->SetMarkerColor(4);
1139 lResPerChMean->DrawClone();
1140 cResPerHalfCh->cd(2+2*ia);
1141 g = (TGraphErrors*)fChamberRes->UncheckedAt(kCombinedResidualPerHalfChSigma+ia);
1144 g->SetMarkerColor(3);
1146 g = (TGraphErrors*)fChamberRes->UncheckedAt(kClusterResPerHalfCh+ia);
1148 lResPerChSigma3->DrawClone();
1150 fCanvases->AddAtAndExpand(cResPerHalfCh, kResPerHalfCh);
1152 TCanvas* cResPerDE = new TCanvas("cResPerDE","cResPerDE",1200,800);
1153 cResPerDE->Divide(1,4);
1154 for (Int_t ia = 0; ia < 2; ia++) {
1155 cResPerDE->cd(1+ia);
1156 g = (TGraphErrors*)fChamberRes->UncheckedAt(kResidualPerDEMeanClusterOut+ia);
1158 g->SetMarkerColor(2);
1160 g = (TGraphErrors*)fChamberRes->UncheckedAt(kResidualPerDEMeanClusterIn+ia);
1162 g->SetMarkerColor(4);
1164 lResPerChMean->DrawClone();
1165 cResPerDE->cd(3+ia);
1166 g = (TGraphErrors*)fChamberRes->UncheckedAt(kCombinedResidualPerDESigma+ia);
1169 g->SetMarkerColor(3);
1171 g = (TGraphErrors*)fChamberRes->UncheckedAt(kClusterResPerDE+ia);
1173 lResPerChSigma3->DrawClone();
1175 fCanvases->AddAtAndExpand(cResPerDE, kResPerDE);
1177 TCanvas* cResPerChVsP = new TCanvas("cResPerChVsP","cResPerChVsP");
1178 cResPerChVsP->Divide(1,2);
1179 for (Int_t ia = 0; ia < 2; ia++) {
1180 cResPerChVsP->cd(1+ia);
1181 mg = (TMultiGraph*)fChamberRes->UncheckedAt(kCombinedResidualSigmaVsP+ia);
1184 fCanvases->AddAtAndExpand(cResPerChVsP, kResPerChVsP);
1187 if (fPrintClResPerCh) {
1188 printf("\nchamber resolution:\n");
1189 printf(" - non-bending:");
1190 for (Int_t i = 0; i < AliMUONConstants::NTrackingCh(); i++) printf((i==0)?" %5.3f":", %5.3f",newClusterRes[0][i]);
1191 printf("\n - bending:");
1192 for (Int_t i = 0; i < AliMUONConstants::NTrackingCh(); i++) printf((i==0)?" %6.4f":", %6.4f",newClusterRes[1][i]);
1196 if (fPrintClResPerDE) {
1197 Double_t iDE, clRes;
1198 printf("\nDE resolution:\n");
1199 printf(" - non-bending:");
1200 for (Int_t i = 0; i < fNDE; i++) {
1201 ((TGraphErrors*)fChamberRes->UncheckedAt(kCombinedResidualPerDESigma))->GetPoint(i, iDE, clRes);
1202 printf((i==0)?" %5.3f":", %5.3f", clRes);
1204 printf("\n - bending:");
1205 for (Int_t i = 0; i < fNDE; i++) {
1206 ((TGraphErrors*)fChamberRes->UncheckedAt(kCombinedResidualPerDESigma+1))->GetPoint(i, iDE, clRes);
1207 printf((i==0)?" %6.4f":", %6.4f", clRes);
1213 PostData(3, fLocalChi2);
1214 PostData(4, fChamberRes);
1217 //________________________________________________________________________
1218 void AliAnalysisTaskMuonResolution::ModifyClusters(AliMUONTrack& track)
1220 /// Reset the clusters resolution from the ones given to the task and change
1221 /// the cluster position according to the new alignment parameters if required
1223 Double_t gX,gY,gZ,lX,lY,lZ;
1225 // loop over clusters
1226 Int_t nClusters = track.GetNClusters();
1227 for (Int_t iCluster=0; iCluster<nClusters; iCluster++) {
1229 AliMUONVCluster* cl = static_cast<AliMUONTrackParam*>(track.GetTrackParamAtCluster()->UncheckedAt(iCluster))->GetClusterPtr();
1231 // change their resolution
1232 cl->SetErrXY(fClusterResNB[cl->GetChamberId()], fClusterResB[cl->GetChamberId()]);
1234 // change their position
1239 fOldGeoTransformer->Global2Local(cl->GetDetElemId(),gX,gY,gZ,lX,lY,lZ);
1240 fNewGeoTransformer->Local2Global(cl->GetDetElemId(),lX,lY,lZ,gX,gY,gZ);
1241 cl->SetXYZ(gX,gY,gZ);
1248 //________________________________________________________________________
1249 void AliAnalysisTaskMuonResolution::Zoom(TH1* h, Double_t fractionCut)
1251 /// Reduce the range of the histogram by removing a given fration of the statistic at each edge
1252 ZoomLeft(h, fractionCut);
1253 ZoomRight(h, fractionCut);
1256 //________________________________________________________________________
1257 void AliAnalysisTaskMuonResolution::ZoomLeft(TH1* h, Double_t fractionCut)
1259 /// Reduce the range of the histogram by removing a given fration of the statistic on the left side
1260 Int_t maxEventsCut = (Int_t) (fractionCut * h->GetEntries());
1261 Int_t nBins = h->GetNbinsX();
1265 Int_t eventsCut = 0;
1266 for (minBin = 1; minBin <= nBins; minBin++) {
1267 eventsCut += (Int_t) h->GetBinContent(minBin);
1268 if (eventsCut > maxEventsCut) break;
1271 // set new axis range
1272 h->GetXaxis()->SetRange(--minBin, h->GetXaxis()->GetLast());
1275 //________________________________________________________________________
1276 void AliAnalysisTaskMuonResolution::ZoomRight(TH1* h, Double_t fractionCut)
1278 /// Reduce the range of the histogram by removing a given fration of the statistic on the right side
1279 Int_t maxEventsCut = (Int_t) (fractionCut * h->GetEntries());
1280 Int_t nBins = h->GetNbinsX();
1284 Int_t eventsCut = 0;
1285 for (maxBin = nBins; maxBin >= 1; maxBin--) {
1286 eventsCut += (Int_t) h->GetBinContent(maxBin);
1287 if (eventsCut > maxEventsCut) break;
1290 // set new axis range
1291 h->GetXaxis()->SetRange(h->GetXaxis()->GetFirst(), ++maxBin);
1294 //________________________________________________________________________
1295 void AliAnalysisTaskMuonResolution::GetMean(TH1* h, Double_t& mean, Double_t& meanErr, TGraphErrors* g, Int_t i, Double_t x, Bool_t zoom, Bool_t enableFit)
1297 /// Fill graph with the mean value and the corresponding error (zooming if required)
1299 if (h->GetEntries() < fgkMinEntries) { // not enough entries
1304 } else if (enableFit && fGaus) { // take the mean of a gaussian fit
1306 fGaus->SetParameters(h->GetEntries(), 0., 0.1);
1308 h->Fit("fGaus", "WWNQ");
1310 mean = fGaus->GetParameter(1);
1311 meanErr = fGaus->GetParError(1);
1313 } else { // take the mean of the distribution
1315 Int_t firstBin = h->GetXaxis()->GetFirst();
1316 Int_t lastBin = h->GetXaxis()->GetLast();
1320 mean = h->GetMean();
1321 meanErr = h->GetMeanError();
1323 if (zoom) h->GetXaxis()->SetRange(firstBin,lastBin);
1327 // fill graph if required
1329 g->SetPoint(i, x, mean);
1330 g->SetPointError(i, 0., meanErr);
1335 //________________________________________________________________________
1336 void AliAnalysisTaskMuonResolution::GetRMS(TH1* h, Double_t& rms, Double_t& rmsErr, TGraphErrors* g, Int_t i, Double_t x, Bool_t zoom)
1338 /// Return the dispersion value and the corresponding error (zooming if required) and fill graph if !=0x0
1340 if (h->GetEntries() < fgkMinEntries) { // not enough entries
1345 } else if (fGaus) { // take the sigma of a gaussian fit
1347 fGaus->SetParameters(h->GetEntries(), 0., 0.1);
1349 h->Fit("fGaus", "WWNQ");
1351 rms = fGaus->GetParameter(2);
1352 rmsErr = fGaus->GetParError(2);
1354 } else { // take the RMS of the distribution
1356 Int_t firstBin = h->GetXaxis()->GetFirst();
1357 Int_t lastBin = h->GetXaxis()->GetLast();
1362 rmsErr = h->GetRMSError();
1364 if (zoom) h->GetXaxis()->SetRange(firstBin,lastBin);
1368 // fill graph if required
1370 g->SetPoint(i, x, rms);
1371 g->SetPointError(i, 0., rmsErr);
1376 //________________________________________________________________________
1377 void AliAnalysisTaskMuonResolution::FillSigmaClusterVsP(const TH2* hIn, const TH2* hOut, TGraphErrors* g, Bool_t zoom)
1379 /// Fill graph with cluster resolution from combined residuals with cluster in/out (zooming if required)
1380 Double_t sigmaIn, sigmaInErr, sigmaOut, sigmaOutErr, clusterRes, clusterResErr;
1381 for (Int_t j = 1; j <= hIn->GetNbinsX(); j++) {
1382 TH1D* tmp = hIn->ProjectionY("tmp",j,j,"e");
1383 GetRMS(tmp, sigmaIn, sigmaInErr, 0x0, 0, 0., zoom);
1385 tmp = hOut->ProjectionY("tmp",j,j,"e");
1386 GetRMS(tmp, sigmaOut, sigmaOutErr, 0x0, 0, 0., zoom);
1388 Double_t p = 0.5 * (hIn->GetBinLowEdge(j) + hIn->GetBinLowEdge(j+1));
1389 Double_t pErr = p - hIn->GetBinLowEdge(j);
1390 clusterRes = TMath::Sqrt(sigmaIn*sigmaOut);
1391 //clusterResErr = (clusterRes > 0.) ? 0.5 * TMath::Sqrt(sigmaInErr*sigmaInErr*sigmaOut*sigmaOut + sigmaIn*sigmaIn*sigmaOutErr*sigmaOutErr) / clusterRes : 0.;
1392 clusterResErr = TMath::Sqrt(sigmaInErr*sigmaOutErr);
1393 g->SetPoint(j, p, clusterRes);
1394 g->SetPointError(j, pErr, clusterResErr);
1398 //__________________________________________________________________________
1399 void AliAnalysisTaskMuonResolution::Cov2CovP(const AliMUONTrackParam ¶m, TMatrixD &covP)
1401 /// change coordinate system: (X, SlopeX, Y, SlopeY, q/Pyz) -> (X, Y, pX, pY, pZ)
1402 /// parameters (param) are given in the (X, SlopeX, Y, SlopeY, q/Pyz) coordinate system
1404 // Get useful parameters
1405 Double_t slopeX = param.GetNonBendingSlope();
1406 Double_t slopeY = param.GetBendingSlope();
1407 Double_t qOverPYZ = param.GetInverseBendingMomentum();
1408 Double_t pZ = param.Pz();
1410 // compute Jacobian to change the coordinate system from (X,SlopeX,Y,SlopeY,c/pYZ) to (X,Y,pX,pY,pZ)
1411 Double_t dpZdSlopeY = - qOverPYZ * qOverPYZ * pZ * pZ * pZ * slopeY;
1412 Double_t dpZdQOverPYZ = (qOverPYZ != 0.) ? - pZ / qOverPYZ : - FLT_MAX;
1413 TMatrixD jacob(5,5);
1418 jacob(2,3) = slopeX * dpZdSlopeY;
1419 jacob(2,4) = slopeX * dpZdQOverPYZ;
1420 jacob(3,3) = pZ + slopeY * dpZdSlopeY;
1421 jacob(3,4) = slopeY * dpZdQOverPYZ;
1422 jacob(4,3) = dpZdSlopeY;
1423 jacob(4,4) = dpZdQOverPYZ;
1425 // compute covariances in new coordinate system
1426 TMatrixD tmp(param.GetCovariances(),TMatrixD::kMultTranspose,jacob);
1427 covP.Mult(jacob,tmp);
1430 //__________________________________________________________________________
1431 UInt_t AliAnalysisTaskMuonResolution::BuildTriggerWord(const TString& firedTriggerClasses)
1433 /// build the trigger word from the fired trigger classes and the list of selectable trigger
1437 TObjString* trigClasseName = 0x0;
1438 TIter nextTrigger(fSelectTriggerClass);
1439 while ((trigClasseName = static_cast<TObjString*>(nextTrigger()))) {
1441 TRegexp GenericTriggerClasseName(trigClasseName->String());
1442 if (firedTriggerClasses.Contains(GenericTriggerClasseName)) word |= trigClasseName->GetUniqueID();