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-commercialf 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 **************************************************************************/
16 /* $Id: AliTRDclusterResolution.cxx */
18 ///////////////////////////////////////////////////////////////////////////////
20 // TRD cluster error parameterization //
22 // This class is designed to produce the reference plots for a detailed study//
23 // and parameterization of TRD cluster errors. The following effects are taken//
25 // - dependence with the total charge of the cluster //
26 // - dependence with the distance from the center pad. This is monitored
27 // for each layer individually since the pad size varies with layer
28 // - dependence with the drift length - here the influence of anisochronity
29 // and diffusion are searched
30 // - dependence with the distance to the anode wire - anisochronity effects
31 // - dependence with track angle (for y resolution)
32 // The correlation between effects is taken into account.
34 // Since magnetic field plays a very important role in the TRD measurement
35 // the ExB correction is forced by the setter function SetExB(Int_t). The
36 // argument is the detector index, if none is specified all will be
39 // Two cases are of big importance.
40 // - comparison with MC
41 // - comparison with Kalman fit. In this case the covariance matrix of the
42 // Kalman fit are needed.
44 // The functionalities implemented in this class are based on the storage
45 // class AliTRDclusterInfo.
50 // The method to disentangle s_y and s_x is based on the relation (see also fig.)
52 // #sigma^{2} = #sigma^{2}_{y} + tg^{2}(#alpha_{L})*#sigma^{2}_{x_{d}} + tg^{2}(#phi-#alpha_{L})*(#sigma^{2}_{x_{d}}+#sigma^{2}_{x_{c}})
56 // #sigma^{2}_{x_{c}} #approx 0
58 // we suppose the chamber is well calibrated for t_{0} and aligned in
61 // Clusters can be radially shifted due to three causes:
62 // - globally shifted - due to residual misalignment/miscalibration(t0)
63 // - locally shifted - due to different local drift velocity from the mean
64 // - randomly shifted - due to neighboring (radial direction) clusters
65 // charge induced by asymmetry of the TRF.
67 // We estimate this effects by the relations:
69 // #mu_{y} = tg(#alpha_{L})*#Delta x_{d}(...) + tg(#phi-#alpha_{L})*(#Delta x_{c}(...) + #Delta x_{d}(...))
73 // #Delta x_{d}(...) = (<v_{d}> + #delta v_{d}(x_{d}, d)) * (t + t^{*}(Q))
75 // and we specified explicitely the variation of drift velocity parallel
76 // with the track (x_{d}) and perpendicular to it due to anisochronity (d).
78 // For estimating the contribution from asymmetry of TRF the following
79 // parameterization is being used
81 // t^{*}(Q) = #delta_{0} * #frac{Q_{t+1} - Q_{t-1}}{Q_{t-1} + Q_{t} + Q_{t+1}}
85 // Clusters can also be r-phi shifted due to:
86 // - wrong PRF or wrong cuts at digits level
87 //The following correction is applied :
89 // <#Delta y> = a + b * sin(c*y_{pw})
94 // Parameterization against total charge
96 // Obtained for B=0T at phi=0. All other effects integrated out.
98 // #sigma^{2}_{y}(Q) = #sigma^{2}_{y}(...) + b(#frac{1}{Q} - #frac{1}{Q_{0}})
100 // For B diff 0T the error of the average ExB correction error has to be subtracted !!
102 // Parameterization Sx
104 // The parameterization of the error in the x direction can be written as
106 // #sigma_{x} = #sigma_{x}^{||} + #sigma_{x}^{#perp}
109 // where the parallel component is given mainly by the TRF width while
110 // the perpendicular component by the anisochronity. The model employed for
111 // the parallel is gaus(0)+expo(3) with the following parameters
112 // 1 C 5.49018e-01 1.23854e+00 3.84540e-04 -8.21084e-06
113 // 2 M 7.82999e-01 6.22531e-01 2.71272e-04 -6.88485e-05
114 // 3 S 2.74451e-01 1.13815e+00 2.90667e-04 1.13493e-05
115 // 4 E1 2.53596e-01 1.08646e+00 9.95591e-05 -2.11625e-05
116 // 5 E2 -2.40078e-02 4.26520e-01 4.67153e-05 -2.35392e-04
118 // and perpendicular to the track is pol2 with the parameters
120 // Par_0 = 0.190676 +/- 0.41785
121 // Par_1 = -3.9269 +/- 7.49862
122 // Par_2 = 14.7851 +/- 27.8012
124 // Parameterization Sy
126 // The parameterization of the error in the y direction along track uses
128 // #sigma_{y}^{||} = #sigma_{y}^{0} -a*exp(1/(x-b))
131 // with following values for the parameters:
132 // 1 sy0 2.60967e-01 2.99652e-03 7.82902e-06 -1.89636e-04
133 // 2 a -7.68941e+00 1.87883e+00 3.84539e-04 9.38268e-07
134 // 3 b -3.41160e-01 7.72850e-02 1.63231e-05 2.51602e-05
136 //==========================================================================
137 // Example how to retrive reference plots from the task
138 // void steerClErrParam(Int_t fig=0)
140 // gSystem->Load("libANALYSIS.so");
141 // gSystem->Load("libTRDqaRec.so");
143 // // initialize DB manager
144 // AliCDBManager *cdb = AliCDBManager::Instance();
145 // cdb->SetDefaultStorage("local://$ALICE_ROOT/OCDB");
147 // // initialize magnetic field.
148 // AliMagFCheb *field=new AliMagFCheb("Maps","Maps", 2, 1., 10., AliMagFCheb::k5kG);
149 // AliTracker::SetFieldMap(field, kTRUE);
151 // AliTRDclusterResolution *res = new AliTRDclusterResolution();
153 // res->Load("TRD.TaskClErrParam.root");
156 // //res->SetSaveAs();
157 // res->SetProcessCharge(kFALSE);
158 // res->SetProcessCenterPad(kFALSE);
159 // //res->SetProcessMean(kFALSE);
160 // res->SetProcessSigma(kFALSE);
161 // if(!res->PostProcess()) return;
163 // res->GetRefFigure(fig);
167 // Alexandru Bercuci <A.Bercuci@gsi.de> //
168 ////////////////////////////////////////////////////////////////////////////
170 #include "AliTRDclusterResolution.h"
171 #include "info/AliTRDclusterInfo.h"
172 #include "AliTRDgeometry.h"
173 #include "AliTRDcalibDB.h"
174 #include "AliTRDCommonParam.h"
175 #include "Cal/AliTRDCalROC.h"
176 #include "Cal/AliTRDCalDet.h"
179 #include "AliTracker.h"
180 #include "AliCDBManager.h"
183 #include "TObjArray.h"
186 #include "TGraphErrors.h"
190 #include "TLinearFitter.h"
196 ClassImp(AliTRDclusterResolution)
198 const Float_t AliTRDclusterResolution::fgkTimeBinLength = 1./ AliTRDCommonParam::Instance()->GetSamplingFrequency();
199 //_______________________________________________________
200 AliTRDclusterResolution::AliTRDclusterResolution(const char *name)
201 : AliTRDrecoTask(name, "Cluster Error Parametrization")
213 fAt = new TAxis(kNTB, 0., kNTB*fgkTimeBinLength);
214 // z axis spans the drift cell 2.5 mm
215 fAd = new TAxis(kND, 0., .25);
217 // By default register all analysis
218 // The user can switch them off in his steering macro
225 //_______________________________________________________
226 AliTRDclusterResolution::~AliTRDclusterResolution()
228 if(fCanvas) delete fCanvas;
237 //_______________________________________________________
238 void AliTRDclusterResolution::ConnectInputData(Option_t *)
240 fInfo = dynamic_cast<TObjArray *>(GetInputData(0));
243 //_______________________________________________________
244 void AliTRDclusterResolution::CreateOutputObjects()
246 OpenFile(0, "RECREATE");
247 fContainer = Histos();
250 //_______________________________________________________
251 Bool_t AliTRDclusterResolution::GetRefFigure(Int_t ifig)
253 if(!fResults) return kFALSE;
256 TObjArray *arr = 0x0;
257 TH2 *h2 = 0x0;TH1 *h1 = 0x0;
258 TGraphErrors *gm(0x0), *gs(0x0), *gp(0x0);
261 if(!(arr = (TObjArray*)fResults->At(kQRes))) break;
262 if(!(gm = (TGraphErrors*)arr->At(0))) break;
263 if(!(gs = (TGraphErrors*)arr->At(1))) break;
264 if(!(gp = (TGraphErrors*)arr->At(2))) break;
266 gs->GetHistogram()->GetYaxis()->SetRangeUser(-.01, .6);
267 gs->GetHistogram()->SetXTitle("Q [a.u.]");
268 gs->GetHistogram()->SetYTitle("#sigma_{y} / #mu_{y} [mm] / freq");
273 if(!(arr = (TObjArray*)fResults->At(kCenter))) break;
274 gPad->Divide(3, 1); l = gPad->GetListOfPrimitives();
275 for(Int_t ipad = 3; ipad--;){
276 if(!(h2 = (TH2F*)arr->At(ipad))) return kFALSE;
277 ((TVirtualPad*)l->At(ipad))->cd();
282 if(!(arr = (TObjArray*)fResults->At(kSigm))) break;
283 gPad->Divide(2, 1); l = gPad->GetListOfPrimitives();
284 if(!(h2 = (TH2F*)arr->At(0))) return kFALSE;
285 ((TVirtualPad*)l->At(0))->cd();
286 h1 = h2->ProjectionY("hsx_pyy"); h1->Scale(1.e4/kND); h1->SetMarkerStyle(24);
287 h1->SetYTitle("<#sigma_{x}> [#mum]");
288 h1->GetXaxis()->SetRange(2, kNTB-1); h1->Draw("pc");
290 if(!(h2 = (TH2F*)arr->At(1))) return kFALSE;
291 ((TVirtualPad*)l->At(1))->cd();
292 h1 = h2->ProjectionY("hsy_pyy"); h1->Scale(1.e4/kND); h1->SetMarkerStyle(24);
293 h1->SetYTitle("<#sigma_{y}> [#mum]");
294 h1->GetXaxis()->SetRange(2, kNTB-1); h1->Draw("pc");
297 if(!(arr = (TObjArray*)fResults->At(kMean))) break;
298 gPad->Divide(2, 1); l = gPad->GetListOfPrimitives();
299 ((TVirtualPad*)l->At(0))->cd();
300 if(!(gm = (TGraphErrors*)arr->At(0))) return kFALSE;
302 gm->GetHistogram()->SetXTitle("t_{drift} [#mus]");
303 gm->GetHistogram()->SetYTitle("dx [#mum]");
305 ((TVirtualPad*)l->At(1))->cd();
306 if(!(gm = (TGraphErrors*)arr->At(1))) return kFALSE;
308 gm->GetHistogram()->SetXTitle("t_{drift} [#mus]");
309 gm->GetHistogram()->SetYTitle("dy [#mum]");
315 AliWarning("No container/data found.");
319 //_______________________________________________________
320 TObjArray* AliTRDclusterResolution::Histos()
322 if(fContainer) return fContainer;
323 fContainer = new TObjArray(sizeof(AliTRDclusterResolution::EResultContainer));
324 //fContainer->SetOwner(kTRUE);
327 TObjArray *arr = 0x0;
329 fContainer->AddAt(h2 = new TH2I("h_q", "", 50, 2.2, 7.5, 100, -.5, .5), kQRes);
330 h2->SetXTitle("log(q) [a.u.]");
331 h2->SetYTitle("#Delta y[cm]");
332 h2->SetZTitle("entries");
334 fContainer->AddAt(arr = new TObjArray(AliTRDgeometry::kNlayer), kCenter);
335 arr->SetName("y(PadWidth)");
336 for(Int_t ily=0; ily<AliTRDgeometry::kNlayer; ily++){
337 arr->AddAt(h2 = new TH2I(Form("h_y%d", ily), Form("Ly[%d]", ily), 51, -.51, .51, 100, -.5, .5), ily);
338 h2->SetXTitle("y_{w} [w]");
339 h2->SetYTitle("#Delta y[cm]");
340 h2->SetZTitle("entries");
343 fContainer->AddAt(arr = new TObjArray(kN), kSigm);
344 arr->SetName("Resolution");
346 for(Int_t id=1; id<=fAd->GetNbins(); id++){
347 for(Int_t it=1; it<=fAt->GetNbins(); it++){
348 arr->AddAt(h2 = new TH2I(Form("hr_d%02dt%02d", id, it), Form("d_{wire}(%3.1f-%3.1f)[mm] t_{drift}(%3.1f-%3.1f)[#mus]", 10.*fAd->GetBinLowEdge(id), 10.*fAd->GetBinUpEdge(id), fAt->GetBinLowEdge(it), fAt->GetBinUpEdge(it)), 35, -.35, .35, 100, -.5, .5), ih++);
349 h2->SetXTitle("tg#phi");
350 h2->SetYTitle("#Delta y[cm]");
351 h2->SetZTitle("entries");
355 fContainer->AddAt(arr = new TObjArray(kN), kMean);
356 arr->SetName("Systematics");
358 for(Int_t id=1; id<=fAd->GetNbins(); id++){
359 for(Int_t it=1; it<=fAt->GetNbins(); it++){
360 arr->AddAt(h2 = new TH2I(Form("hs_d%02dt%02d", id, it), Form("d_{wire}(%3.1f-%3.1f)[mm] t_{drift}(%3.1f-%3.1f)[#mus]", 10.*fAd->GetBinLowEdge(id), 10.*fAd->GetBinUpEdge(id), fAt->GetBinLowEdge(it), fAt->GetBinUpEdge(it)), 35, -.35, .35, 100, -.5, .5), ih++);
361 h2->SetXTitle("tg#phi-h*tg(#theta)");
362 h2->SetYTitle("#Delta y[cm]");
363 h2->SetZTitle("entries");
370 //_______________________________________________________
371 void AliTRDclusterResolution::Exec(Option_t *)
373 if(!HasExB()) AliWarning("ExB was not set. Call SetExB() before running the task.");
376 Float_t x, y, z, q, dy, dydx, dzdx, cov[3], covcl[3];
379 // define limits around ExB for which x contribution is negligible
380 const Float_t kDtgPhi = 3.5e-2; //(+- 2 deg)
382 TObjArray *arr0 = (TObjArray*)fContainer->At(kCenter);
383 TObjArray *arr1 = (TObjArray*)fContainer->At(kSigm);
384 TObjArray *arr2 = (TObjArray*)fContainer->At(kMean);
386 const AliTRDclusterInfo *cli = 0x0;
387 TIterator *iter=fInfo->MakeIterator();
388 while((cli=dynamic_cast<AliTRDclusterInfo*>((*iter)()))){
389 cli->GetCluster(det, x, y, z, q, t, covcl);
390 if(fDet>=0 && fDet!=det) continue;
392 dy = cli->GetResolution();
393 cli->GetGlobalPosition(y, z, dydx, dzdx, &cov[0]);
395 // resolution as a function of cluster charge
396 // only for phi equal exB
397 if(TMath::Abs(dydx-fExB) < kDtgPhi){
398 h2 = (TH2I*)fContainer->At(kQRes);
399 h2->Fill(TMath::Log(q), dy);
402 // do not use problematic clusters in resolution analysis
403 // TODO define limits as calibration aware (gain) !!
404 if(q<20. || q>250.) continue;
406 // resolution as a function of y displacement from pad center
407 // only for phi equal exB
408 if(TMath::Abs(dydx-fExB) < kDtgPhi){
409 h2 = (TH2I*)arr0->At(AliTRDgeometry::GetLayer(det));
410 h2->Fill(cli->GetYDisplacement(), dy);
413 Int_t it = fAt->FindBin((t+.5)*fgkTimeBinLength);
414 if(it==0 || it == fAt->GetNbins()+1){
415 AliWarning(Form("Drift time %f outside allowed range", t));
418 Int_t id = fAd->FindBin(cli->GetAnisochronity());
419 if(id==0 || id == fAd->GetNbins()+1){
420 AliWarning(Form("Distance to anode %f outside allowed range", cli->GetAnisochronity()));
423 // calculate index of cluster position in array
424 Int_t hid = (id-1)*kNTB+it-1;
426 // fill histo for resolution (sigma)
427 h2 = (TH2I*)arr1->At(hid);
430 // fill histo for systematic (mean)
431 h2 = (TH2I*)arr2->At(hid);
432 h2->Fill(dydx-cli->GetTilt()*dzdx, dy);
434 PostData(0, fContainer);
438 //_______________________________________________________
439 Bool_t AliTRDclusterResolution::PostProcess()
441 if(!fContainer) return kFALSE;
442 if(!HasExB()) AliWarning("ExB was not set. Call SetExB() before running the post processing.");
444 TObjArray *arr = 0x0;
447 TGraphErrors *g = 0x0;
448 fResults = new TObjArray(sizeof(AliTRDclusterResolution::EResultContainer));
449 fResults->SetOwner();
450 fResults->AddAt(arr = new TObjArray(3), kQRes);
452 arr->AddAt(g = new TGraphErrors(), 0);
453 g->SetLineColor(kBlue); g->SetMarkerColor(kBlue);
454 g->SetMarkerStyle(7);
455 arr->AddAt(g = new TGraphErrors(), 1);
456 g->SetLineColor(kRed); g->SetMarkerColor(kRed);
457 g->SetMarkerStyle(23);
458 arr->AddAt(g = new TGraphErrors(), 2);
459 g->SetLineColor(kGreen); g->SetMarkerColor(kGreen);
460 g->SetMarkerStyle(7);
462 fResults->AddAt(arr = new TObjArray(3), kCenter);
465 if(!(h2 = (TH2F*)gROOT->FindObject("hYM"))){
466 h2 = new TH2F("hYM", "",
467 AliTRDgeometry::kNlayer, -.5, AliTRDgeometry::kNlayer-.5, 51, -.51, .51);
471 h2->SetYTitle("y [w]");
472 h2->SetZTitle("#mu_{x} [cm]");
473 arr->AddAt(h2 = (TH2F*)h2->Clone("hYS"), 1);
474 h2->SetZTitle("#sigma_{x} [cm]");
475 arr->AddAt(h2 = (TH2F*)h2->Clone("hYP"), 2);
476 h2->SetZTitle("entries");
478 fResults->AddAt(arr = new TObjArray(2), kSigm);
480 if(!(h2 = (TH2F*)gROOT->FindObject("hSX"))){
481 h2 = new TH2F("hSX", "",
482 fAd->GetNbins(), fAd->GetXmin(), fAd->GetXmax(),
483 fAt->GetNbins(), fAt->GetXmin(), fAt->GetXmax());
486 h2->SetXTitle("d [cm]");
487 h2->SetYTitle("t_{drift} [#mus]");
488 h2->SetZTitle("#sigma_{x} [cm]");
489 arr->AddAt(h2 = (TH2F*)h2->Clone("hSY"), 1);
490 h2->SetZTitle("#sigma_{y} [cm]");
492 fResults->AddAt(arr = new TObjArray(4), kMean);
494 arr->AddAt(g = new TGraphErrors(), 0);
495 g->SetLineColor(kBlue); g->SetMarkerColor(kBlue);
496 g->SetMarkerStyle(24);
497 arr->AddAt(g = new TGraphErrors(), 1);
498 g->SetLineColor(kRed); g->SetMarkerColor(kRed);
499 g->SetMarkerStyle(24);
500 arr->AddAt(h2 = (TH2F*)h2->Clone("hDX"), 2);
501 h2->SetZTitle("dx [cm]");
502 arr->AddAt(h2 = (TH2F*)h2->Clone("hDY"), 3);
503 h2->SetZTitle("dy [cm]");
506 TIterator *iter=fResults->MakeIterator();
507 while((o=((*iter)()))) o->Clear(); // maybe it is wrong but we should never reach this point
510 // precalculated value of tg^2(alpha_L)
511 Double_t exb2 = fExB*fExB;
512 // square of the mean value of sigma drift length.
513 // has to come from previous calibration
514 //Double_t sxd2 = 1.;// [mm^2]
516 printf("ExB[%e] ExB2[%e]\n", fExB, exb2);
518 // process resolution dependency on charge
519 if(HasProcess(kQRes)) ProcessCharge();
521 // process resolution dependency on y displacement
522 if(HasProcess(kCenter)) ProcessCenterPad();
524 // process resolution dependency on drift legth and drift cell width
525 if(HasProcess(kSigm)) ProcessSigma();
527 // process systematic shift on drift legth and drift cell width
528 if(HasProcess(kMean)) ProcessMean();
533 //_______________________________________________________
534 Bool_t AliTRDclusterResolution::SetExB(Int_t det, Int_t col, Int_t row)
537 AliCDBManager *cdb = AliCDBManager::Instance();
538 if(cdb->GetRun() < 0){
539 AliError("OCDB manager not properly initialized");
543 // check magnetic field
544 if(TMath::Abs(AliTracker::GetBz()) < 1.e-10){
545 AliWarning("B=0. Magnetic field may not be initialized. Continue if you know what you are doing !");
548 // set reference detector if any
549 if(det>=0 && det<AliTRDgeometry::kNdet) fDet = det;
552 AliTRDcalibDB *fCalibration = AliTRDcalibDB::Instance();
553 AliTRDCalROC *fCalVdriftROC = fCalibration->GetVdriftROC(det);
554 const AliTRDCalDet *fCalVdriftDet = fCalibration->GetVdriftDet();
556 fVdrift = fCalVdriftDet->GetValue(det) * fCalVdriftROC->GetValue(col, row);
557 fExB = AliTRDCommonParam::Instance()->GetOmegaTau(fVdrift);
562 //_______________________________________________________
563 void AliTRDclusterResolution::SetVisual()
566 fCanvas = new TCanvas("clResCanvas", "Cluster Resolution Visualization", 10, 10, 600, 600);
569 //_______________________________________________________
570 void AliTRDclusterResolution::ProcessCharge()
573 if((h2 = (TH2I*)fContainer->At(kQRes))) {
574 AliWarning("Missing dy=f(Q) histo");
577 TF1 f("f", "gaus", -.5, .5);
581 TObjArray *arr = (TObjArray*)fResults->At(kQRes);
582 TGraphErrors *gqm = (TGraphErrors*)arr->At(0);
583 TGraphErrors *gqs = (TGraphErrors*)arr->At(1);
584 TGraphErrors *gqp = (TGraphErrors*)arr->At(2);
585 Double_t q, n = 0., entries;
587 for(Int_t ix=1; ix<=ax->GetNbins(); ix++){
588 q = TMath::Exp(ax->GetBinCenter(ix));
589 if(q<20. || q>250.) continue; // ?!
591 h1 = h2->ProjectionY("py", ix, ix);
592 entries = h1->GetEntries();
593 if(entries < 50) continue;
598 Int_t ip = gqm->GetN();
599 gqm->SetPoint(ip, q, 10.*f.GetParameter(1));
600 gqm->SetPointError(ip, 0., 10.*f.GetParError(1));
602 // correct sigma for ExB effect
603 gqs->SetPoint(ip, q, 1.e1*f.GetParameter(2)/**f.GetParameter(2)-exb2*sxd2*/);
604 gqs->SetPointError(ip, 0., 1.e1*f.GetParError(2)/**f.GetParameter(2)*/);
608 gqp->SetPoint(ip, q, entries);
609 gqp->SetPointError(ip, 0., 0./*TMath::Sqrt(entries)*/);
612 // normalize probability and get mean sy
613 Double_t sm = 0., sy;
614 for(Int_t ip=gqp->GetN(); ip--;){
615 gqp->GetPoint(ip, q, entries);
617 gqp->SetPoint(ip, q, entries);
618 gqs->GetPoint(ip, q, sy);
622 // error parametrization s(q) = <sy> + b(1/q-1/q0)
623 TF1 fq("fq", "[0] + [1]/x", 20., 250.);
625 printf("sy(Q) :: sm[%f] b[%f] 1/q0[%f]\n", sm, fq.GetParameter(1), (sm-fq.GetParameter(0))/fq.GetParameter(1));
628 //_______________________________________________________
629 void AliTRDclusterResolution::ProcessCenterPad()
631 TObjArray *arr = (TObjArray*)fContainer->At(kCenter);
633 AliWarning("Missing dy=f(y_d) container");
636 TF1 f("f", "gaus", -.5, .5);
638 TH1D *h1 = 0x0, *h11 = 0x0;
641 TObjArray *arrg = (TObjArray*)fResults->At(kCenter);
642 TH2F *hym = (TH2F*)arrg->At(0);
643 TH2F *hys = (TH2F*)arrg->At(1);
644 TH2F *hyp = (TH2F*)arrg->At(2);
645 for(Int_t ily=0; ily<AliTRDgeometry::kNlayer; ily++){
646 if(!(h2 = (TH2I*)arr->At(ily))) continue;
648 for(Int_t ix=1; ix<=ax->GetNbins(); ix++){
649 Float_t yd = ax->GetBinCenter(ix);
650 h1 = h2->ProjectionY("py", ix, ix);
651 Int_t entries = (Int_t)h1->GetEntries();
652 if(entries < 50) continue;
657 hyp->Fill(ily, yd, entries);
658 hym->Fill(ily, yd, f.GetParameter(1));
659 //hym->SetPointError(ip, 0., f.GetParError(1));
660 hys->Fill(ily, yd, f.GetParameter(2));
661 //hys->SetPointError(ip, 0., f.GetParError(2));
665 // POSTPROCESS SPECTRA
666 // Found correction for systematic deviation
667 TF1 fprf("fprf", "[0]+[1]*sin([2]*x)", -.5, .5);
668 fprf.SetParameter(0, 0.);
669 fprf.SetParameter(1, 1.1E-2);
670 fprf.SetParameter(2, -TMath::PiOver2()/0.25);
671 printf(" const Float_t cy[AliTRDgeometry::kNlayer][3] = {\n");
672 for(Int_t ily=0; ily<AliTRDgeometry::kNlayer; ily++){
673 h1 = hym->ProjectionY("hym_pyy", ily+1, ily+1);
675 for(Int_t ib=h1->GetNbinsX(); ib--;) h1->SetBinError(ib, 0.002);
677 printf(" {%5.3e, %5.3e, %5.3e},\n", fprf.GetParameter(0), fprf.GetParameter(1), fprf.GetParameter(2));
679 if(!fCanvas) continue;
681 h1->SetMinimum(-0.02);h1->SetMaximum(0.02);h1->Draw("e1");
682 h11 = hyp->ProjectionY("hyp_pyy", ily+1, ily+1);
683 h11->Scale(.8/h11->Integral());
684 h11->SetLineColor(kBlue); h11->Draw("csame");
685 fCanvas->Modified(); fCanvas->Update();
687 fCanvas->SaveAs(Form("Figures/ProcessCenterPad_M_Ly%d.gif", ily));
688 else gSystem->Sleep(500);
692 // Parameterization for sigma PRF
693 TF1 fgaus("fgaus", "gaus", -.5, .5);
694 printf(" const Float_t scy[AliTRDgeometry::kNlayer][4] = {\n");
695 for(Int_t ily=0; ily<AliTRDgeometry::kNlayer; ily++){
696 h1 = hys->ProjectionY("hys_pyy", ily+1, ily+1);
698 for(Int_t ib=h1->GetNbinsX(); ib--;) h1->SetBinError(ib, 0.002);
700 h1->Fit(&fgaus, "Q");
701 printf(" {%5.3e, %5.3e, %5.3e, ", fgaus.GetParameter(0), fgaus.GetParameter(1), fgaus.GetParameter(2));
703 // calculate mean sigma on the pad center distribution
705 h1 = hyp->ProjectionY("hyp_pyy", ily+1, ily+1);
706 for(Int_t ix=1; ix<=h1->GetNbinsX(); ix++){
707 sy += fgaus.Eval(h1->GetBinCenter(ix))*h1->GetBinContent(ix);
709 sy /= h1->GetEntries();
710 printf("%5.3e},\n", sy);
712 if(!fCanvas) continue;
714 h1->SetMinimum(0.01);h1->SetMaximum(0.04);h1->Draw("e1");
715 h11 = hyp->ProjectionY("hyp_pyy", ily+1, ily+1);
716 h11->Scale(1./h11->Integral());
717 h11->SetLineColor(kBlue); h11->Draw("csame");
718 fCanvas->Modified(); fCanvas->Update();
720 fCanvas->SaveAs(Form("Figures/ProcessCenterPad_S_Ly%d.gif", ily));
721 else gSystem->Sleep(500);
726 //_______________________________________________________
727 void AliTRDclusterResolution::ProcessSigma()
729 TObjArray *arr = (TObjArray*)fContainer->At(kSigm);
731 AliWarning("Missing dy=f(x_d, d_wire) container");
734 TLinearFitter gs(1,"pol1");
735 TF1 f("f", "gaus", -.5, .5);
741 // init visualization
742 TGraphErrors *ggs = 0x0;
745 ggs = new TGraphErrors();
747 line->SetLineColor(kRed);line->SetLineWidth(2);
750 Double_t d(0.), x(0.), sx, sy, exb2=0.;//fExB*fExB;
751 TObjArray *arrr = (TObjArray*)fResults->At(kSigm);
752 TH2F *hsx = (TH2F*)arrr->At(0);
753 TH2F *hsy = (TH2F*)arrr->At(1);
754 for(Int_t id=1; id<=fAd->GetNbins(); id++){
755 d = fAd->GetBinCenter(id); //[mm]
756 printf(" Doing d = %5.3f [mm]\n", d);
757 for(Int_t it=1; it<=fAt->GetNbins(); it++){
758 x = fAt->GetBinCenter(it); //[mm]
759 Int_t idx = (id-1)*kNTB+it-1;
761 // retrieve data histogram
762 if(!(h2 = (TH2I*)arr->At(idx))) {
763 AliWarning(Form("Missing histo at index idx[%3d] [id[%2d] it[%2d]] xd[%f] d[%f]\n", idx, id, it, x, d));
768 new(ggs) TGraphErrors();
769 ggs->SetMarkerStyle(7);
773 for(Int_t ix=1; ix<=ax->GetNbins(); ix++){
774 Float_t dydx = ax->GetBinCenter(ix);
775 //if(TMath::Abs(dydx)>0.18) continue;
776 Double_t tgg = (dydx-fExB)/(1.+dydx*fExB);
777 Double_t tgg2 = tgg*tgg;
778 h1 = h2->ProjectionY("py", ix, ix);
779 if(h1->GetEntries() < 100) continue;
781 //printf("\tFit ix[%d] on %s entries [%d]\n", ix, h2->GetName(), (Int_t)h1->GetEntries());
783 Double_t s2 = f.GetParameter(2)*f.GetParameter(2);
784 Double_t s2e = 2.*f.GetParameter(2)*f.GetParError(2);
785 // Fill sy^2 = f(tg^2(phi-a_L))
786 gs.AddPoint(&tgg2, s2, s2e);
789 Int_t ip = ggs->GetN();
790 ggs->SetPoint(ip, tgg2, s2);
791 ggs->SetPointError(ip, 0., s2e);
793 if(gs.Eval()) continue;
795 // s^2_x = s0^2_x - x^2*tg^2(a_L)/12
796 sx = gs.GetParameter(1)/* - x*x*exb2/12.*/;
798 hsx->SetBinContent(id, it, TMath::Sqrt(sx));
799 //hsx->SetBinError(id, it, .5*gs.GetParError(1)/TMath::Sqrt(sx));
801 // s^2_y = s0^2_y + tg^2(a_L) * s^2_x
802 // s0^2_y = f(D_L)*x + s_PRF^2
803 sy= gs.GetParameter(0)/*-exb2*sx*/;
805 hsy->SetBinContent(id, it, TMath::Sqrt(sy));
806 //hsy->SetBinError(id, it, sig.GetParError(0)+exb2*exb2*sig.GetParError(1));
808 if(!fCanvas) continue;
809 fCanvas->cd(); fCanvas->SetLogx(); //fCanvas->SetLogy();
811 hFrame=new TH1I("hFrame", "", 100, 0., .3);
812 hFrame->SetMinimum(0.);hFrame->SetMaximum(.005);
813 hFrame->SetXTitle("tg^{2}(#phi-#alpha_{L})");
814 hFrame->SetYTitle("#sigma^{2}y[cm^{2}]");
815 hFrame->SetLineColor(1);hFrame->SetLineWidth(1);
817 } else hFrame->Reset();
818 Double_t xx = 0., dxx=.2/50;
819 for(Int_t ip=0;ip<50;ip++){
820 line->SetPoint(ip, xx, gs.GetParameter(0)+xx*gs.GetParameter(1));
823 ggs->Draw("pl"); line->Draw("l");
824 fCanvas->Modified(); fCanvas->Update();
825 if(IsSaveAs()) fCanvas->SaveAs(Form("Figures/ProcessSigma_D%d_T%02d.gif", id, it));
826 else gSystem->Sleep(100);
828 printf(" xd=%4.1f[cm] sx=%5.3e[cm] sy=%5.3e[cm]\n", x, TMath::Sqrt(sx), TMath::Sqrt(sy));
832 printf(" const Double_t sx[%d][%d]={\n", kNTB-1, kND);
833 for(Int_t iy=1; iy<kNTB; iy++){
835 for(Int_t ix=1; ix<kND; ix++){
836 printf("%5.3e, ", hsx->GetBinContent(ix, iy));
838 printf("%5.3e}", hsx->GetBinContent(kND, iy));
839 printf("%c\n", iy==(kNTB-1)?' ':',');
843 printf(" const Double_t sy[%d][%d]={\n", kNTB-1, kND);
844 for(Int_t iy=1; iy<kNTB; iy++){
846 for(Int_t ix=1; ix<kND; ix++){
847 printf("%5.3e, ", hsy->GetBinContent(ix, iy));
849 printf("%5.3e}", hsy->GetBinContent(kND, iy));
850 printf("%c\n", iy==(kNTB-1)?' ':',');
857 //_______________________________________________________
858 void AliTRDclusterResolution::ProcessMean()
860 TObjArray *arr = (TObjArray*)fContainer->At(kMean);
862 AliWarning("Missing dy=f(x_d, d_wire) container");
865 TGraphErrors *gm = new TGraphErrors();
866 TF1 f("f", "gaus", -.5, .5);
867 TF1 line("l", "[0]+[1]*x", -.15, .15);
868 Double_t d(0.), x(0.), dx, dy;
874 TObjArray *arrr = (TObjArray*)fResults->At(kMean);
875 TH2F *hdx = (TH2F*)arrr->At(2);
876 TH2F *hdy = (TH2F*)arrr->At(3);
877 for(Int_t id=1; id<=fAd->GetNbins(); id++){
878 d = fAd->GetBinCenter(id); //[mm]
879 printf(" Doing d = %5.3f [mm]\n", d);
880 for(Int_t it=1; it<=fAt->GetNbins(); it++){
881 x = fAt->GetBinCenter(it); //[mm]
882 Int_t idx = (id-1)*kNTB+it-1;
883 if(!(h2 = (TH2I*)arr->At(idx))) {
884 AliWarning(Form("Missing histo at index idx[%3d] [id[%2d] it[%2d]] xd[%f] d[%f]\n", idx, id, it, x, d));
888 new(gm) TGraphErrors();
889 gm->SetMarkerStyle(7);
891 for(Int_t ix=1; ix<=ax->GetNbins(); ix++){
892 Double_t dydx = ax->GetBinCenter(ix);
893 h1 = h2->ProjectionY("py", ix, ix);
894 if(h1->GetEntries() < 200) continue;
898 // Fill <Dy> = f(dydx - h*dzdx)
899 Int_t ip = gm->GetN();
900 gm->SetPoint(ip, dydx, f.GetParameter(1));
901 gm->SetPointError(ip, 0., f.GetParError(1));
904 if(gm->GetN()<4) continue;
906 gm->Fit(&line, "QN");
907 dx = line.GetParameter(1);
908 Double_t xs = line.GetParameter(0);
909 dy = xs + fExB*dx; // xs = dy - tg(a_L)*dx
910 hdx->SetBinContent(id, it, dx);
911 hdy->SetBinContent(id, it, dy);
913 if(!fCanvas) continue;
916 hFrame=new TH1I("hFrame", "", 100, -.3, .3);
917 hFrame->SetMinimum(-.1);hFrame->SetMaximum(.1);
918 hFrame->SetXTitle("tg#phi-htg#theta");
919 hFrame->SetYTitle("#Deltay[cm]");
920 hFrame->SetLineColor(1);hFrame->SetLineWidth(1);
922 } else hFrame->Reset();
923 gm->Draw("pl"); line.Draw("same");
924 fCanvas->Modified(); fCanvas->Update();
925 if(IsSaveAs()) fCanvas->SaveAs(Form("Figures/ProcessMean_D%d_T%02d.gif", id, it));
926 else gSystem->Sleep(100);
927 printf(" xd=%4.1f[cm] dx=%5.3e[cm] dy=%5.3e[cm] xs=%5.3e[cm]\n", x, dx, dy, xs);
931 // dump to stdout correction map
932 printf(" const Double_t dx[%d][%d]={\n", kNTB-1, kND);
933 for(Int_t iy=1; iy<kNTB; iy++){
935 for(Int_t ix=1; ix<kND; ix++){
936 printf("%+5.3e,", hdx->GetBinContent(ix, iy));
938 printf("%+5.3e}", hdx->GetBinContent(kND, iy));
939 printf("%c\n", iy==(kNTB-1)?' ':',');
943 // Collapse the z direction
944 TAxis *ay = hdx->GetYaxis();
945 // radial systematics
946 TGraphErrors *g = (TGraphErrors*)arrr->At(0);
947 for(Int_t iy = 1; iy<kNTB; iy++){
948 Double_t m=0., rms=0.;
949 for(Int_t ix = 1; ix<=kND; ix++){
950 d = hdx->GetBinContent(ix, iy);
951 m += d; rms += (d*d);
953 m /= Int_t(kND); rms = TMath::Sqrt(rms/Int_t(kND)-m*m);
954 g->SetPoint(iy-1, ay->GetBinCenter(iy), 1.e4*m);
955 g->SetPointError(iy-1, 0., 1.e4*rms);
959 g = (TGraphErrors*)arrr->At(1);
960 for(Int_t iy = 1; iy<kNTB; iy++){
961 Double_t m=0., rms=0.;
962 for(Int_t ix = 1; ix<=kND; ix++){
963 d = hdy->GetBinContent(ix, iy);
964 m += d; rms += (d*d);
966 m /= Int_t(kND); rms = TMath::Sqrt(rms/Int_t(kND)-m*m);
967 g->SetPoint(iy-1, ay->GetBinCenter(iy), 1.e4*m);
968 g->SetPointError(iy-1, 0., 1.e4*rms);
970 // delete gm; TODO memory leak ?