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1ee39b3a | 1 | /************************************************************************** |
2 | * Copyright(c) 1998-1999, ALICE Experiment at CERN, All rights reserved. * | |
3 | * * | |
4 | * Author: The ALICE Off-line Project. * | |
5 | * Contributors are mentioned in the code where appropriate. * | |
6 | * * | |
7 | * Permission to use, copy, modify and distribute this software and its * | |
8 | * documentation strictly for non-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 | **************************************************************************/ | |
15 | ||
16 | /* $Id: AliTRDclusterResolution.cxx */ | |
17 | ||
18 | /////////////////////////////////////////////////////////////////////////////// | |
19 | // // | |
20 | // TRD cluster error parameterization // | |
21 | // // | |
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// | |
24 | // into account : // | |
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. | |
33 | // | |
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 | |
37 | // considered. | |
38 | // | |
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. | |
43 | // | |
44 | // The functionalities implemented in this class are based on the storage | |
45 | // class AliTRDclusterInfo. | |
46 | // | |
47 | // The Method | |
48 | // ---------- | |
49 | // | |
50 | // The method to disentangle s_y and s_x is based on the relation (see also fig.) | |
51 | // BEGIN_LATEX | |
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}}) | |
53 | // END_LATEX | |
54 | // with | |
55 | // BEGIN_LATEX | |
56 | // #sigma^{2}_{x_{c}} #approx 0 | |
57 | // END_LATEX | |
58 | // we suppose the chamber is well calibrated for t_{0} and aligned in | |
59 | // radial direction. | |
60 | // | |
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. | |
66 | // | |
67 | // We estimate this effects by the relations: | |
68 | // BEGIN_LATEX | |
69 | // #mu_{y} = tg(#alpha_{L})*#Delta x_{d}(...) + tg(#phi-#alpha_{L})*(#Delta x_{c}(...) + #Delta x_{d}(...)) | |
70 | // END_LATEX | |
71 | // where | |
72 | // BEGIN_LATEX | |
73 | // #Delta x_{d}(...) = (<v_{d}> + #delta v_{d}(x_{d}, d)) * (t + t^{*}(Q)) | |
74 | // END_LATEX | |
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). | |
77 | // | |
78 | // For estimating the contribution from asymmetry of TRF the following | |
79 | // parameterization is being used | |
80 | // BEGIN_LATEX | |
81 | // t^{*}(Q) = #delta_{0} * #frac{Q_{t+1} - Q_{t-1}}{Q_{t-1} + Q_{t} + Q_{t+1}} | |
82 | // END_LATEX | |
83 | // | |
84 | // | |
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 : | |
88 | // BEGIN_LATEX | |
89 | // <#Delta y> = a + b * sin(c*y_{pw}) | |
90 | // END_LATEX | |
91 | ||
92 | // The Models | |
93 | // | |
94 | // Parameterization against total charge | |
95 | // | |
96 | // Obtained for B=0T at phi=0. All other effects integrated out. | |
97 | // BEGIN_LATEX | |
98 | // #sigma^{2}_{y}(Q) = #sigma^{2}_{y}(...) + b(#frac{1}{Q} - #frac{1}{Q_{0}}) | |
99 | // END_LATEX | |
100 | // For B diff 0T the error of the average ExB correction error has to be subtracted !! | |
101 | // | |
102 | // Parameterization Sx | |
103 | // | |
104 | // The parameterization of the error in the x direction can be written as | |
105 | // BEGIN_LATEX | |
106 | // #sigma_{x} = #sigma_{x}^{||} + #sigma_{x}^{#perp} | |
107 | // END_LATEX | |
108 | // | |
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 | |
117 | // | |
118 | // and perpendicular to the track is pol2 with the parameters | |
119 | // | |
120 | // Par_0 = 0.190676 +/- 0.41785 | |
121 | // Par_1 = -3.9269 +/- 7.49862 | |
122 | // Par_2 = 14.7851 +/- 27.8012 | |
123 | // | |
124 | // Parameterization Sy | |
125 | // | |
126 | // The parameterization of the error in the y direction along track uses | |
127 | // BEGIN_LATEX | |
128 | // #sigma_{y}^{||} = #sigma_{y}^{0} -a*exp(1/(x-b)) | |
129 | // END_LATEX | |
130 | // | |
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 | |
135 | // | |
136 | //========================================================================== | |
137 | // Example how to retrive reference plots from the task | |
138 | // void steerClErrParam(Int_t fig=0) | |
139 | // { | |
140 | // gSystem->Load("libANALYSIS.so"); | |
141 | // gSystem->Load("libTRDqaRec.so"); | |
142 | // | |
143 | // // initialize DB manager | |
144 | // AliCDBManager *cdb = AliCDBManager::Instance(); | |
145 | // cdb->SetDefaultStorage("local://$ALICE_ROOT/OCDB"); | |
146 | // cdb->SetRun(0); | |
147 | // // initialize magnetic field. | |
148 | // AliMagFCheb *field=new AliMagFCheb("Maps","Maps", 2, 1., 10., AliMagFCheb::k5kG); | |
149 | // AliTracker::SetFieldMap(field, kTRUE); | |
150 | // | |
151 | // AliTRDclusterResolution *res = new AliTRDclusterResolution(); | |
152 | // res->SetMCdata(); | |
153 | // res->Load("TRD.TaskClErrParam.root"); | |
154 | // res->SetExB(); | |
155 | // res->SetVisual(); | |
156 | // //res->SetSaveAs(); | |
157 | // res->SetProcessCharge(kFALSE); | |
158 | // res->SetProcessCenterPad(kFALSE); | |
159 | // //res->SetProcessMean(kFALSE); | |
160 | // res->SetProcessSigma(kFALSE); | |
161 | // if(!res->PostProcess()) return; | |
162 | // new TCanvas; | |
163 | // res->GetRefFigure(fig); | |
164 | // } | |
165 | // | |
166 | // Authors: // | |
167 | // Alexandru Bercuci <A.Bercuci@gsi.de> // | |
168 | //////////////////////////////////////////////////////////////////////////// | |
169 | ||
170 | #include "AliTRDclusterResolution.h" | |
5468a262 | 171 | #include "AliTRDresolution.h" |
172 | #include "AliTRDinfoGen.h" | |
1ee39b3a | 173 | #include "info/AliTRDclusterInfo.h" |
5468a262 | 174 | |
175 | #include "AliTRDcalibDB.h" | |
176 | #include "Cal/AliTRDCalROC.h" | |
177 | #include "Cal/AliTRDCalDet.h" | |
178 | #include "AliTRDCommonParam.h" | |
1ee39b3a | 179 | #include "AliTRDgeometry.h" |
801d4d50 | 180 | #include "AliTRDpadPlane.h" |
1ee39b3a | 181 | #include "AliTRDcluster.h" |
5935a6da | 182 | #include "AliTRDseedV1.h" |
1ee39b3a | 183 | |
801d4d50 | 184 | #include "AliESDEvent.h" |
1ee39b3a | 185 | #include "AliCDBManager.h" |
186 | ||
187 | #include "TROOT.h" | |
5468a262 | 188 | #include "TSystem.h" |
189 | #include "TMath.h" | |
190 | #include "TLinearFitter.h" | |
191 | #include "TGeoGlobalMagField.h" | |
192 | #include <TGeoMatrix.h> | |
1ee39b3a | 193 | #include "TObjArray.h" |
5468a262 | 194 | #include "TTree.h" |
195 | #include "TH2I.h" | |
196 | #include "TH3S.h" | |
1ee39b3a | 197 | #include "TAxis.h" |
198 | #include "TF1.h" | |
5468a262 | 199 | #include "TCanvas.h" |
1ee39b3a | 200 | #include "TLegend.h" |
201 | #include "TGraphErrors.h" | |
202 | #include "TLine.h" | |
1ee39b3a | 203 | |
204 | ClassImp(AliTRDclusterResolution) | |
205 | ||
206 | const Float_t AliTRDclusterResolution::fgkTimeBinLength = 1./ AliTRDCommonParam::Instance()->GetSamplingFrequency(); | |
207 | //_______________________________________________________ | |
f8f46e4d | 208 | AliTRDclusterResolution::AliTRDclusterResolution() |
209 | : AliTRDrecoTask() | |
705f8b0a | 210 | ,fCanvas(NULL) |
211 | ,fInfo(NULL) | |
212 | ,fResults(NULL) | |
56f313bd | 213 | ,fSubTaskMap(0) |
214 | ,fUseCalib(7) | |
f8f46e4d | 215 | ,fDet(-1) |
801d4d50 | 216 | ,fCol(-1) |
217 | ,fRow(-1) | |
f8f46e4d | 218 | ,fExB(0.) |
bce4b27e | 219 | ,fDt(0.) |
220 | ,fDl(0.) | |
e3147647 | 221 | ,fVdrift(1.5) |
5935a6da | 222 | ,fT0(0.) |
e3147647 | 223 | ,fGain(1.) |
5468a262 | 224 | ,fXch(0.) |
225 | ,fZch(0.) | |
226 | ,fH(0.) | |
563d1b38 | 227 | ,fDyRange(1.3) |
f8f46e4d | 228 | ,fLy(0) |
5935a6da | 229 | ,fT(0.) |
f8f46e4d | 230 | ,fX(0.) |
231 | ,fY(0.) | |
232 | ,fZ(0.) | |
233 | { | |
234 | // Constructor | |
705f8b0a | 235 | SetNameTitle("ClErrCalib", "Cluster Error Parameterization"); |
563d1b38 | 236 | memset(fR, 0, 4*sizeof(Float_t)); |
237 | memset(fP, 0, 4*sizeof(Float_t)); | |
f8f46e4d | 238 | } |
239 | ||
705f8b0a | 240 | //_______________________________________________________ |
241 | AliTRDclusterResolution::AliTRDclusterResolution(const char *name) | |
242 | : AliTRDrecoTask(name, "Cluster Error Parameterization") | |
4226db3e | 243 | ,fCanvas(NULL) |
244 | ,fInfo(NULL) | |
245 | ,fResults(NULL) | |
56f313bd | 246 | ,fSubTaskMap(0) |
247 | ,fUseCalib(7) | |
1ee39b3a | 248 | ,fDet(-1) |
801d4d50 | 249 | ,fCol(-1) |
250 | ,fRow(-1) | |
1ee39b3a | 251 | ,fExB(0.) |
bce4b27e | 252 | ,fDt(0.) |
253 | ,fDl(0.) | |
e3147647 | 254 | ,fVdrift(1.5) |
5935a6da | 255 | ,fT0(0.) |
e3147647 | 256 | ,fGain(1.) |
5468a262 | 257 | ,fXch(0.) |
258 | ,fZch(0.) | |
259 | ,fH(0.) | |
563d1b38 | 260 | ,fDyRange(1.3) |
1ee39b3a | 261 | ,fLy(0) |
5935a6da | 262 | ,fT(0.) |
1ee39b3a | 263 | ,fX(0.) |
264 | ,fY(0.) | |
265 | ,fZ(0.) | |
266 | { | |
267 | // Constructor | |
268 | ||
269 | memset(fR, 0, 4*sizeof(Float_t)); | |
270 | memset(fP, 0, 4*sizeof(Float_t)); | |
1ee39b3a | 271 | |
272 | // By default register all analysis | |
273 | // The user can switch them off in his steering macro | |
ebc01dc0 | 274 | SetProcess(kYRes); |
275 | SetProcess(kYSys); | |
1ee39b3a | 276 | SetProcess(kMean); |
277 | SetProcess(kSigm); | |
278 | } | |
279 | ||
280 | //_______________________________________________________ | |
281 | AliTRDclusterResolution::~AliTRDclusterResolution() | |
282 | { | |
283 | // Destructor | |
284 | ||
285 | if(fCanvas) delete fCanvas; | |
1ee39b3a | 286 | if(fResults){ |
287 | fResults->Delete(); | |
288 | delete fResults; | |
289 | } | |
290 | } | |
291 | ||
1ee39b3a | 292 | //_______________________________________________________ |
f8f46e4d | 293 | void AliTRDclusterResolution::UserCreateOutputObjects() |
1ee39b3a | 294 | { |
5468a262 | 295 | /* fContainer = Histos(); |
296 | PostData(1, fContainer);*/ | |
1ee39b3a | 297 | } |
298 | ||
299 | //_______________________________________________________ | |
300 | Bool_t AliTRDclusterResolution::GetRefFigure(Int_t ifig) | |
301 | { | |
302 | // Steering function to retrieve performance plots | |
303 | ||
304 | if(!fResults) return kFALSE; | |
4226db3e | 305 | TLegend *leg = NULL; |
306 | TList *l = NULL; | |
307 | TObjArray *arr = NULL; | |
308 | TTree *t = NULL; | |
309 | TH2 *h2 = NULL;TH1 *h1 = NULL; | |
310 | TGraphErrors *gm(NULL), *gs(NULL), *gp(NULL); | |
1ee39b3a | 311 | switch(ifig){ |
ebc01dc0 | 312 | case kYRes: |
313 | if(!(arr = (TObjArray*)fResults->At(kYRes))) break; | |
1ee39b3a | 314 | if(!(gm = (TGraphErrors*)arr->At(0))) break; |
315 | if(!(gs = (TGraphErrors*)arr->At(1))) break; | |
316 | if(!(gp = (TGraphErrors*)arr->At(2))) break; | |
5935a6da | 317 | leg= new TLegend(.7, .7, .9, .95); |
318 | leg->SetBorderSize(0); leg->SetFillColor(0); leg->SetFillStyle(0); | |
319 | gs->Draw("apl"); leg->AddEntry(gs, "Sigma / Resolution", "pl"); | |
1ee39b3a | 320 | gs->GetHistogram()->GetYaxis()->SetRangeUser(-50., 700.); |
321 | gs->GetHistogram()->SetXTitle("Q [a.u.]"); | |
5935a6da | 322 | gs->GetHistogram()->SetYTitle("y - x tg(#alpha_{L}) [#mum]"); |
323 | gm->Draw("pl");leg->AddEntry(gm, "Mean / Systematics", "pl"); | |
324 | gp->Draw("pl");leg->AddEntry(gp, "Abundance / Probability", "pl"); | |
325 | leg->Draw(); | |
1ee39b3a | 326 | return kTRUE; |
ebc01dc0 | 327 | case kYSys: |
328 | if(!(arr = (TObjArray*)fResults->At(kYSys))) break; | |
1ee39b3a | 329 | gPad->Divide(2, 1); l = gPad->GetListOfPrimitives(); |
330 | ((TVirtualPad*)l->At(0))->cd(); | |
5935a6da | 331 | ((TTree*)arr->At(0))->Draw(Form("y:t>>h(%d, -0.5, %f, 51, -.51, .51)",AliTRDseedV1::kNtb, AliTRDseedV1::kNtb-0.5), |
1ee39b3a | 332 | "m[0]*(ly==0&&abs(m[0])<1.e-1)", "colz"); |
333 | ((TVirtualPad*)l->At(1))->cd(); | |
334 | leg= new TLegend(.7, .7, .9, .95); | |
335 | leg->SetBorderSize(0); leg->SetFillColor(0); leg->SetFillStyle(0); | |
336 | leg->SetHeader("TRD Plane"); | |
337 | for(Int_t il = 1; il<=AliTRDgeometry::kNlayer; il++){ | |
338 | if(!(gm = (TGraphErrors*)arr->At(il))) return kFALSE; | |
339 | gm->Draw(il>1?"pc":"apc"); leg->AddEntry(gm, Form("%d", il-1), "pl"); | |
340 | if(il>1) continue; | |
5935a6da | 341 | gm->GetHistogram()->SetXTitle("t_{drift} [tb]"); |
1ee39b3a | 342 | gm->GetHistogram()->SetYTitle("#sigma_{y}(x|cen=0) [#mum]"); |
343 | gm->GetHistogram()->GetYaxis()->SetRangeUser(150., 500.); | |
344 | } | |
345 | leg->Draw(); | |
346 | return kTRUE; | |
347 | case kSigm: | |
348 | if(!(t = (TTree*)fResults->At(kSigm))) break; | |
349 | t->Draw("z:t>>h2x(23, 0.1, 2.4, 25, 0., 2.5)","sx*(1)", "lego2fb"); | |
350 | h2 = (TH2F*)gROOT->FindObject("h2x"); | |
351 | printf(" const Double_t sx[24][25]={\n"); | |
352 | for(Int_t ix=1; ix<=h2->GetNbinsX(); ix++){ | |
353 | printf(" {"); | |
354 | for(Int_t iy=1; iy<h2->GetNbinsY(); iy++){ | |
355 | printf("%6.4f ", h2->GetBinContent(ix, iy)); | |
356 | } | |
357 | printf("%6.4f},\n", h2->GetBinContent(ix, h2->GetNbinsY())); | |
358 | } | |
359 | printf(" };\n"); | |
360 | gPad->Divide(2, 1, 1.e-5, 1.e-5); l = gPad->GetListOfPrimitives(); | |
361 | ((TVirtualPad*)l->At(0))->cd(); | |
362 | h1 = h2->ProjectionX("hsx_pxx"); h1->Scale(1.e4/kND); h1->SetMarkerStyle(24); | |
363 | h1->SetYTitle("<#sigma_{x}> [#mum]"); | |
364 | h1->SetXTitle("t_{drift} [#mus]"); | |
5935a6da | 365 | h1->GetXaxis()->SetRange(2, AliTRDseedV1::kNtb-1); h1->Draw("pc"); |
1ee39b3a | 366 | |
367 | t->Draw("z:t>>h2y(23, 0.1, 2.4, 25, 0., 2.5)","sy*(1)", "lego2fb"); | |
368 | h2 = (TH2F*)gROOT->FindObject("h2y"); | |
369 | printf(" const Double_t sy[24][25]={\n"); | |
370 | for(Int_t ix=1; ix<=h2->GetNbinsX(); ix++){ | |
371 | printf(" {"); | |
372 | for(Int_t iy=1; iy<h2->GetNbinsY(); iy++){ | |
373 | printf("%6.4f ", h2->GetBinContent(ix, iy)); | |
374 | } | |
375 | printf("%6.4f},\n", h2->GetBinContent(ix, h2->GetNbinsY())); | |
376 | } | |
377 | printf(" };\n"); | |
378 | ((TVirtualPad*)l->At(1))->cd(); | |
379 | h1 = h2->ProjectionX("hsy_pxx"); h1->Scale(1.e4/kND); h1->SetMarkerStyle(24); | |
380 | h1->SetYTitle("<#sigma_{y}> [#mum]"); | |
381 | h1->SetXTitle("t_{drift} [#mus]"); | |
5935a6da | 382 | h1->GetXaxis()->SetRange(2, AliTRDseedV1::kNtb-1); h1->Draw("pc"); |
1ee39b3a | 383 | return kTRUE; |
384 | case kMean: | |
385 | if(!(t = (TTree*)fResults->At(kMean))) break; | |
2ba7720d | 386 | if(!t->Draw(Form("z:t>>h2x(%d, -0.5, %3.1f, %d, 0., 2.5)", |
5935a6da | 387 | AliTRDseedV1::kNtb, AliTRDseedV1::kNtb-0.5, kND), |
2ba7720d | 388 | "dx*(1)", "goff")) break; |
1ee39b3a | 389 | h2 = (TH2F*)gROOT->FindObject("h2x"); |
5935a6da | 390 | printf(" const Double_t dx[%d][%d]={\n", AliTRDseedV1::kNtb, kND); |
1ee39b3a | 391 | for(Int_t ix=1; ix<=h2->GetNbinsX(); ix++){ |
392 | printf(" {"); | |
393 | for(Int_t iy=1; iy<h2->GetNbinsY(); iy++){ | |
5935a6da | 394 | printf("%+6.4e, ", h2->GetBinContent(ix, iy)); |
1ee39b3a | 395 | } |
5935a6da | 396 | printf("%+6.4e},\n", h2->GetBinContent(ix, h2->GetNbinsY())); |
1ee39b3a | 397 | } |
398 | printf(" };\n"); | |
5935a6da | 399 | gPad->Divide(2, 2, 1.e-5, 1.e-5); l = gPad->GetListOfPrimitives(); |
1ee39b3a | 400 | ((TVirtualPad*)l->At(0))->cd(); |
5935a6da | 401 | h2->Draw("lego2fb"); |
402 | ((TVirtualPad*)l->At(2))->cd(); | |
1ee39b3a | 403 | h1 = h2->ProjectionX("hdx_pxx"); h1->Scale(1.e4/kND); h1->SetMarkerStyle(24); |
5935a6da | 404 | h1->SetYTitle("<#deltax> [#mum]"); |
b9ddd472 | 405 | h1->SetXTitle("t_{drift} [tb]"); |
5935a6da | 406 | //h1->GetXaxis()->SetRange(2, AliTRDseedV1::kNtb-1); |
407 | h1->Draw("pc"); | |
1ee39b3a | 408 | |
2ba7720d | 409 | if(!t->Draw(Form("z:t>>h2y(%d, -0.5, %3.1f, %d, 0., 2.5)", |
5935a6da | 410 | AliTRDseedV1::kNtb, AliTRDseedV1::kNtb-0.5, kND), |
2ba7720d | 411 | "dy*(1)", "goff")) break; |
1ee39b3a | 412 | h2 = (TH2F*)gROOT->FindObject("h2y"); |
5935a6da | 413 | printf(" const Double_t dy[%d][%d]={\n", AliTRDseedV1::kNtb, kND); |
1ee39b3a | 414 | for(Int_t ix=1; ix<=h2->GetNbinsX(); ix++){ |
415 | printf(" {"); | |
416 | for(Int_t iy=1; iy<h2->GetNbinsY(); iy++){ | |
5935a6da | 417 | printf("%+6.4e ", h2->GetBinContent(ix, iy)); |
1ee39b3a | 418 | } |
5935a6da | 419 | printf("%+6.4e},\n", h2->GetBinContent(ix, h2->GetNbinsY())); |
1ee39b3a | 420 | } |
421 | printf(" };\n"); | |
422 | ((TVirtualPad*)l->At(1))->cd(); | |
5935a6da | 423 | h2->Draw("lego2fb"); |
424 | ((TVirtualPad*)l->At(3))->cd(); | |
1ee39b3a | 425 | h1 = h2->ProjectionX("hdy_pxx"); h1->Scale(1.e4/kND); h1->SetMarkerStyle(24); |
5935a6da | 426 | h1->SetYTitle("<#deltay> [#mum]"); |
b9ddd472 | 427 | h1->SetXTitle("t_{drift} [tb]"); |
5935a6da | 428 | //h1->GetXaxis()->SetRange(2, AliTRDseedV1::kNtb-1); |
429 | h1->Draw("pc"); | |
1ee39b3a | 430 | |
431 | return kTRUE; | |
432 | default: | |
433 | break; | |
434 | } | |
435 | AliWarning("No container/data found."); | |
436 | return kFALSE; | |
437 | } | |
438 | ||
439 | //_______________________________________________________ | |
440 | TObjArray* AliTRDclusterResolution::Histos() | |
441 | { | |
442 | // Retrieve histograms array if already build or build it | |
443 | ||
444 | if(fContainer) return fContainer; | |
445 | fContainer = new TObjArray(kNtasks); | |
446 | //fContainer->SetOwner(kTRUE); | |
447 | ||
5468a262 | 448 | TH3S *h3(NULL);TH2I *h2(NULL); |
449 | TObjArray *arr(NULL); | |
450 | if(!HasGlobalPosition() && !LoadGlobalChamberPosition()) return NULL; | |
451 | Float_t tgt(fZch/fXch), htgt(fH*tgt); | |
452 | ||
453 | // SYSTEMATIC PLOTS | |
ebc01dc0 | 454 | fContainer->AddAt(arr = new TObjArray(3), kYSys); |
455 | arr->SetName("SysY"); | |
5468a262 | 456 | // systematic plot on pw and q (dydx=ExB+h*dzdx) |
ebc01dc0 | 457 | if(!(h3=(TH3S*)gROOT->FindObject(Form("Sys%s%03d", (HasMCdata()?"MC":"") ,fDet)))) { |
82b61d3c | 458 | h3 = new TH3S( |
ebc01dc0 | 459 | Form("Sys%s%03d", (HasMCdata()?"MC":""),fDet), |
5468a262 | 460 | Form(" Det[%d] Col[%d] Row[%d];log q [a.u.];#deltay [pw];#Delta y[cm]", fDet, fCol, fRow), |
461 | 45, 2., 6.5, // log(q) [a.u.] | |
462 | 25, -.51, .51, // y [pw] | |
463 | 60, -fDyRange, fDyRange); // dy [cm] | |
82b61d3c | 464 | } h3->Reset(); |
465 | arr->AddAt(h3, 0); | |
5468a262 | 466 | // systematic plot on tb (only for dydx = h*tgt + exb and MPV q) |
467 | if(!(h2 = (TH2I*)gROOT->FindObject(Form("SysTb%s%03d", (HasMCdata()?"MC":""), fDet)))){ | |
468 | h2 = new TH2I(Form("SysTb%s%03d", (HasMCdata()?"MC":""), fDet), | |
469 | Form(" Det[%d] Col[%d] Row[%d];t [time bin];#Delta y[cm]", fDet, fCol, fRow), | |
470 | AliTRDseedV1::kNtb, -.5, AliTRDseedV1::kNtb-0.5, // t [tb] | |
471 | 60, -fDyRange, fDyRange); // dy [cm] | |
472 | } h2->Reset(); | |
473 | arr->AddAt(h2, 1); | |
474 | // systematic plot on tgp and tb (for MPV q) | |
475 | if(!(h3=(TH3S*)gROOT->FindObject(Form("SysTbTgp%s%03d", (HasMCdata()?"MC":""), fDet)))){ | |
82b61d3c | 476 | h3 = new TH3S( |
5468a262 | 477 | Form("SysTbTgp%s%03d", (HasMCdata()?"MC":""), fDet), |
478 | Form(" Det[%d];t [time bin];tg(#phi) - h*tg(#theta) %s;#Delta y[cm]", fDet, fExB>1.e-5?"- tg(#alpha_{L})":""), | |
479 | AliTRDseedV1::kNtb, -.5, AliTRDseedV1::kNtb-0.5, // t [tb] | |
480 | 36, fExB-.18, fExB+.18, // tgp-h tgt-tg(aL) | |
481 | 60, -fDyRange, fDyRange); // dy | |
ebc01dc0 | 482 | } h3->Reset(); |
483 | arr->AddAt(h3, 2); | |
484 | ||
5468a262 | 485 | // RESOLUTION/PULLS PLOTS |
2489d4c8 | 486 | fContainer->AddAt(arr = new TObjArray(6), kYRes); |
ebc01dc0 | 487 | arr->SetName("ResY"); |
5468a262 | 488 | // resolution plot on pw and q (for dydx=0 && B=0) |
ebc01dc0 | 489 | if(!(h3=(TH3S*)gROOT->FindObject(Form("Res%s%03d", (HasMCdata()?"MC":"") ,fDet)))) { |
490 | h3 = new TH3S( | |
491 | Form("Res%s%03d", (HasMCdata()?"MC":""),fDet), | |
5468a262 | 492 | Form(" Det[%d] Col[%d] Row[%d];log q [a.u];#deltay [pw];#Delta y[cm]", fDet, fCol, fRow), |
493 | 45, 2., 6.5, // log(q) [a.u] | |
494 | 25, -.51, .51, // y [pw] | |
ebc01dc0 | 495 | 60, -fDyRange, fDyRange); // dy |
496 | } h3->Reset(); | |
497 | arr->AddAt(h3, 0); | |
5468a262 | 498 | // Pull plot on pw and q (for dydx=0 && B=0) |
499 | if(!(h3=(TH3S*)gROOT->FindObject(Form("Pull%s%03d", (HasMCdata()?"MC":""), fDet)))){ | |
ebc01dc0 | 500 | h3 = new TH3S( |
5468a262 | 501 | Form("Pull%s%03d", (HasMCdata()?"MC":""), fDet), |
502 | Form(" Det[%d] Col[%d] Row[%d];log q [a.u.];#deltay [pw];#Delta y[cm]/#sigma_{y}", fDet, fCol, fRow), | |
503 | 45, 2., 6.5, // log(q) [a.u] | |
504 | 25, -.51, .51, // y [pw] | |
505 | 60, -4., 4.); // dy/sy | |
ebc01dc0 | 506 | } h3->Reset(); |
507 | arr->AddAt(h3, 1); | |
5468a262 | 508 | // resolution/pull plot on tb (for dydx=0 && B=0 && MPV q) |
509 | if(!(h3 = (TH3S*)gROOT->FindObject(Form("ResPullTb%s%03d", (HasMCdata()?"MC":""), fDet)))){ | |
510 | h3 = new TH3S(Form("ResPullTb%s%03d", (HasMCdata()?"MC":""), fDet), | |
511 | Form(" Det[%d] Col[%d] Row[%d];t [time bin];#Delta y[cm];#Delta y/#sigma_{y}", fDet, fCol, fRow), | |
512 | AliTRDseedV1::kNtb, -.5, AliTRDseedV1::kNtb-0.5, // t [tb] | |
513 | 60, -fDyRange, fDyRange, // dy [cm] | |
514 | 60, -4., 4.); // dy/sy | |
ebc01dc0 | 515 | } h3->Reset(); |
516 | arr->AddAt(h3, 2); | |
5468a262 | 517 | // resolution plot on pw and q (for dydx=0 && B=0) np = 2 |
518 | if(!(h3=(TH3S*)gROOT->FindObject(Form("Res2%s%03d", (HasMCdata()?"MC":"") ,fDet)))) { | |
519 | h3 = new TH3S( | |
520 | Form("Res2%s%03d", (HasMCdata()?"MC":""),fDet), | |
521 | Form(" Det[%d] Col[%d] Row[%d];log q [a.u];#deltay [pw];#Delta y[cm]", fDet, fCol, fRow), | |
522 | 45, 2., 6.5, // log(q) [a.u] | |
523 | 25, -.51, .51, // y [pw] | |
524 | 60, -fDyRange, fDyRange); // dy | |
525 | } h3->Reset(); | |
526 | arr->AddAt(h3, 3); | |
527 | // resolution plot on pw and q (for dydx=0 && B=0) np = 4 | |
528 | if(!(h3=(TH3S*)gROOT->FindObject(Form("Res4%s%03d", (HasMCdata()?"MC":"") ,fDet)))) { | |
529 | h3 = new TH3S( | |
530 | Form("Res4%s%03d", (HasMCdata()?"MC":""),fDet), | |
531 | Form(" Det[%d] Col[%d] Row[%d];log q [a.u];#deltay [pw];#Delta y[cm]", fDet, fCol, fRow), | |
532 | 45, 2., 6.5, // log(q) [a.u] | |
533 | 25, -.51, .51, // y [pw] | |
534 | 60, -fDyRange, fDyRange); // dy | |
535 | } h3->Reset(); | |
536 | arr->AddAt(h3, 4); | |
2489d4c8 | 537 | // systemtic plot of tb on pw and q (for dydx=0 && B=0) |
538 | if(!(h3=(TH3S*)gROOT->FindObject(Form("SysTbPwQ%s%03d", (HasMCdata()?"MC":"") ,fDet)))) { | |
539 | h3 = new TH3S( | |
540 | Form("SysTbPwQ%s%03d", (HasMCdata()?"MC":""),fDet), | |
541 | Form(" Det[%d] Col[%d] Row[%d];log q [a.u];#deltay [pw];t [time bin]", fDet, fCol, fRow), | |
542 | 45, 2., 6.5, // log(q) [a.u] | |
543 | 25, -.51, .51, // y [pw] | |
544 | AliTRDseedV1::kNtb, -.5, AliTRDseedV1::kNtb-0.5); // t [tb] | |
545 | } h3->Reset(); | |
546 | arr->AddAt(h3, 5); | |
5468a262 | 547 | |
548 | ||
1ee39b3a | 549 | |
5935a6da | 550 | fContainer->AddAt(arr = new TObjArray(AliTRDseedV1::kNtb), kSigm); |
1ee39b3a | 551 | arr->SetName("Resolution"); |
82b61d3c | 552 | for(Int_t it=0; it<AliTRDseedV1::kNtb; it++){ |
09cf4aad | 553 | if(!(h3=(TH3S*)gROOT->FindObject(Form("hr%s%03d_t%02d", (HasMCdata()?"MC":""), fDet, it)))){ |
1ee39b3a | 554 | h3 = new TH3S( |
09cf4aad | 555 | Form("hr%s%03d_t%02d", (HasMCdata()?"MC":""), fDet, it), |
06a0778f | 556 | Form(" Det[%d] t_{drift}(%2d)[bin];h*tg(#theta);tg(#phi);#Delta y[cm]", fDet, it), |
5468a262 | 557 | 35, htgt-0.0035, htgt+0.0035, // h*tgt |
558 | 36, fExB-.18, fExB+.18, // tgp | |
559 | 60, -fDyRange, fDyRange); // dy | |
560 | } h3->Reset(); | |
82b61d3c | 561 | arr->AddAt(h3, it); |
1ee39b3a | 562 | } |
1ee39b3a | 563 | return fContainer; |
564 | } | |
565 | ||
566 | //_______________________________________________________ | |
f8f46e4d | 567 | void AliTRDclusterResolution::UserExec(Option_t *) |
1ee39b3a | 568 | { |
569 | // Fill container histograms | |
570 | ||
e3147647 | 571 | if(!IsCalibrated()){ |
572 | LoadCalibration(); | |
573 | if(!IsCalibrated()){ | |
5468a262 | 574 | AliFatal("Loading the calibration settings failed. Check OCDB access."); |
801d4d50 | 575 | return; |
576 | } | |
577 | } | |
5468a262 | 578 | if(!fContainer){ |
579 | fContainer = Histos(); | |
580 | PostData(1, fContainer); | |
581 | } | |
582 | fInfo = dynamic_cast<TObjArray *>(GetInputData(1)); | |
583 | AliDebug(2, Form("Clusters[%d]", fInfo->GetEntriesFast())); | |
1ee39b3a | 584 | |
5468a262 | 585 | Int_t det, t, np; |
1ee39b3a | 586 | Float_t x, y, z, q, dy, dydx, dzdx, cov[3], covcl[3]; |
5468a262 | 587 | TH3S *h3(NULL); TH2I *h2(NULL); |
1ee39b3a | 588 | |
589 | // define limits around ExB for which x contribution is negligible | |
ea2e835e | 590 | const Float_t kAroundZero = 3.5e-2; //(+- 2 deg) |
1ee39b3a | 591 | |
ebc01dc0 | 592 | TObjArray *arr0 = (TObjArray*)fContainer->At(kYSys); |
593 | TObjArray *arr1 = (TObjArray*)fContainer->At(kYRes); | |
594 | TObjArray *arr2 = (TObjArray*)fContainer->At(kSigm); | |
1ee39b3a | 595 | |
4226db3e | 596 | const AliTRDclusterInfo *cli = NULL; |
1ee39b3a | 597 | TIterator *iter=fInfo->MakeIterator(); |
598 | while((cli=dynamic_cast<AliTRDclusterInfo*>((*iter)()))){ | |
5468a262 | 599 | if((np = cli->GetNpads())>4) continue; |
1ee39b3a | 600 | cli->GetCluster(det, x, y, z, q, t, covcl); |
5935a6da | 601 | |
801d4d50 | 602 | // select cluster according to detector region if specified |
1ee39b3a | 603 | if(fDet>=0 && fDet!=det) continue; |
801d4d50 | 604 | if(fCol>=0 && fRow>=0){ |
605 | Int_t c,r; | |
606 | cli->GetCenterPad(c, r); | |
607 | if(TMath::Abs(fCol-c) > 5) continue; | |
608 | if(TMath::Abs(fRow-r) > 2) continue; | |
609 | } | |
801d4d50 | 610 | dy = cli->GetResolution(); |
a4982ebc | 611 | AliDebug(4, Form("det[%d] tb[%2d] q[%4.0f Log[%6.4f]] np[%d] dy[%7.2f][um] ypull[%5.2f]", det, t, q, TMath::Log(q), np, 1.e4*dy, dy/TMath::Sqrt(covcl[0]))); |
1ee39b3a | 612 | |
1ee39b3a | 613 | cli->GetGlobalPosition(y, z, dydx, dzdx, &cov[0]); |
5468a262 | 614 | Float_t pw(cli->GetYDisplacement()); |
1ee39b3a | 615 | |
5468a262 | 616 | // systematics as a function of pw and log(q) |
ebc01dc0 | 617 | // only for dydx = exB + h*dzdx |
5468a262 | 618 | if(TMath::Abs(dydx-fExB-fH*dzdx) < kAroundZero){ |
619 | h3 = (TH3S*)arr0->At(0); | |
620 | h3->Fill(TMath::Log(q), pw, dy); | |
ebc01dc0 | 621 | } |
5468a262 | 622 | // resolution/pull as a function of pw and log(q) |
5583a68e | 623 | // only for dydx = 0, ExB=0 |
5468a262 | 624 | if(TMath::Abs(fExB) < kAroundZero && |
bc93cc34 | 625 | TMath::Abs(dydx) < kAroundZero && |
626 | t>5 && t<24 ){ | |
5468a262 | 627 | switch(np){ |
628 | case 3: // MPV np | |
629 | h3 = (TH3S*)arr1->At(0); | |
630 | h3->Fill(TMath::Log(q), pw, dy); | |
2489d4c8 | 631 | h3 = (TH3S*)arr1->At(5); |
632 | h3->Fill(TMath::Log(q), pw, t); | |
5468a262 | 633 | break; |
634 | case 2: // Min np | |
635 | h3 = (TH3S*)arr1->At(3); | |
636 | h3->Fill(TMath::Log(q), pw, dy); | |
637 | break; | |
638 | case 4: // Max np | |
639 | h3 = (TH3S*)arr1->At(4); | |
640 | h3->Fill(TMath::Log(q), pw, dy); | |
641 | break; | |
642 | } | |
643 | h3 = (TH3S*)arr1->At(1); | |
644 | h3->Fill(TMath::Log(q), pw, dy/TMath::Sqrt(covcl[0])); | |
1ee39b3a | 645 | } |
646 | ||
647 | // do not use problematic clusters in resolution analysis | |
648 | // TODO define limits as calibration aware (gain) !! | |
5468a262 | 649 | //if(!AcceptableGain(fGain)) continue; |
650 | if(q<20. || q>250.) continue; | |
651 | ||
652 | // systematic as a function of time bin | |
653 | // only for dydx = exB + h*dzdx and MPV q | |
654 | if(TMath::Abs(dydx-fExB-fH*dzdx) < kAroundZero){ | |
655 | h2 = (TH2I*)arr0->At(1); | |
656 | h2->Fill(t, dy); | |
1ee39b3a | 657 | } |
5468a262 | 658 | // systematic as function of tb and tgp |
659 | // only for MPV q | |
660 | h3 = (TH3S*)arr0->At(2); | |
661 | h3->Fill(t, dydx, dy); | |
662 | ||
663 | // resolution/pull as a function of time bin | |
664 | // only for dydx = 0, ExB=0 and MPV q | |
665 | if(TMath::Abs(fExB) < kAroundZero && | |
666 | TMath::Abs(dydx) < kAroundZero){ | |
667 | h3 = (TH3S*)arr1->At(2); | |
668 | h3->Fill(t, dy, dy/TMath::Sqrt(covcl[0])); | |
ebc01dc0 | 669 | } |
1ee39b3a | 670 | |
5468a262 | 671 | // resolution as function of tb, tgp and h*tgt |
672 | // only for MPV q | |
673 | ((TH3S*)arr2->At(t))->Fill(fH*dzdx, dydx, dy); | |
1ee39b3a | 674 | } |
1ee39b3a | 675 | } |
676 | ||
677 | ||
678 | //_______________________________________________________ | |
679 | Bool_t AliTRDclusterResolution::PostProcess() | |
680 | { | |
64d57299 | 681 | // Steer processing of various cluster resolution dependences : |
682 | // | |
683 | // - process resolution dependency cluster charge | |
ebc01dc0 | 684 | // if(HasProcess(kYRes)) ProcessCharge(); |
64d57299 | 685 | // - process resolution dependency on y displacement |
ebc01dc0 | 686 | // if(HasProcess(kYSys)) ProcessCenterPad(); |
64d57299 | 687 | // - process resolution dependency on drift legth and drift cell width |
688 | // if(HasProcess(kSigm)) ProcessSigma(); | |
689 | // - process systematic shift on drift legth and drift cell width | |
690 | // if(HasProcess(kMean)) ProcessMean(); | |
691 | ||
1ee39b3a | 692 | if(!fContainer) return kFALSE; |
e3147647 | 693 | if(!IsCalibrated()){ |
5468a262 | 694 | AliError("Not calibrated instance."); |
e3147647 | 695 | return kFALSE; |
696 | } | |
4226db3e | 697 | TObjArray *arr = NULL; |
698 | TTree *t=NULL; | |
1ee39b3a | 699 | if(!fResults){ |
4226db3e | 700 | TGraphErrors *g = NULL; |
1ee39b3a | 701 | fResults = new TObjArray(kNtasks); |
702 | fResults->SetOwner(); | |
ebc01dc0 | 703 | fResults->AddAt(arr = new TObjArray(3), kYRes); |
1ee39b3a | 704 | arr->SetOwner(); |
705 | arr->AddAt(g = new TGraphErrors(), 0); | |
706 | g->SetLineColor(kBlue); g->SetMarkerColor(kBlue); | |
707 | g->SetMarkerStyle(7); | |
708 | arr->AddAt(g = new TGraphErrors(), 1); | |
709 | g->SetLineColor(kRed); g->SetMarkerColor(kRed); | |
710 | g->SetMarkerStyle(23); | |
711 | arr->AddAt(g = new TGraphErrors(), 2); | |
712 | g->SetLineColor(kGreen); g->SetMarkerColor(kGreen); | |
713 | g->SetMarkerStyle(7); | |
714 | ||
715 | // pad center dependence | |
ebc01dc0 | 716 | fResults->AddAt(arr = new TObjArray(AliTRDgeometry::kNlayer+1), kYSys); |
1ee39b3a | 717 | arr->SetOwner(); |
718 | arr->AddAt( | |
719 | t = new TTree("cent", "dy=f(y,x,ly)"), 0); | |
720 | t->Branch("ly", &fLy, "ly/B"); | |
5935a6da | 721 | t->Branch("t", &fT, "t/F"); |
1ee39b3a | 722 | t->Branch("y", &fY, "y/F"); |
723 | t->Branch("m", &fR[0], "m[2]/F"); | |
724 | t->Branch("s", &fR[2], "s[2]/F"); | |
725 | t->Branch("pm", &fP[0], "pm[2]/F"); | |
726 | t->Branch("ps", &fP[2], "ps[2]/F"); | |
727 | for(Int_t il=1; il<=AliTRDgeometry::kNlayer; il++){ | |
728 | arr->AddAt(g = new TGraphErrors(), il); | |
729 | g->SetLineColor(il); g->SetLineStyle(il); | |
730 | g->SetMarkerColor(il);g->SetMarkerStyle(4); | |
731 | } | |
732 | ||
733 | ||
734 | fResults->AddAt(t = new TTree("sigm", "dy=f(dw,x,dydx)"), kSigm); | |
5935a6da | 735 | t->Branch("t", &fT, "t/F"); |
736 | t->Branch("x", &fX, "x/F"); | |
1ee39b3a | 737 | t->Branch("z", &fZ, "z/F"); |
738 | t->Branch("sx", &fR[0], "sx[2]/F"); | |
739 | t->Branch("sy", &fR[2], "sy[2]/F"); | |
740 | ||
741 | ||
742 | fResults->AddAt(t = new TTree("mean", "dy=f(dw,x,dydx - h dzdx)"), kMean); | |
5935a6da | 743 | t->Branch("t", &fT, "t/F"); |
744 | t->Branch("x", &fX, "x/F"); | |
1ee39b3a | 745 | t->Branch("z", &fZ, "z/F"); |
746 | t->Branch("dx", &fR[0], "dx[2]/F"); | |
747 | t->Branch("dy", &fR[2], "dy[2]/F"); | |
748 | } else { | |
4226db3e | 749 | TObject *o = NULL; |
1ee39b3a | 750 | TIterator *iter=fResults->MakeIterator(); |
751 | while((o=((*iter)()))) o->Clear(); // maybe it is wrong but we should never reach this point | |
752 | } | |
753 | ||
1ee39b3a | 754 | // process resolution dependency on charge |
ebc01dc0 | 755 | if(HasProcess(kYRes)) ProcessCharge(); |
1ee39b3a | 756 | |
757 | // process resolution dependency on y displacement | |
5468a262 | 758 | if(HasProcess(kYSys)) ProcessNormalTracks(); |
1ee39b3a | 759 | |
760 | // process resolution dependency on drift legth and drift cell width | |
761 | if(HasProcess(kSigm)) ProcessSigma(); | |
762 | ||
763 | // process systematic shift on drift legth and drift cell width | |
764 | if(HasProcess(kMean)) ProcessMean(); | |
765 | ||
766 | return kTRUE; | |
767 | } | |
768 | ||
769 | //_______________________________________________________ | |
e3147647 | 770 | Bool_t AliTRDclusterResolution::LoadCalibration() |
1ee39b3a | 771 | { |
801d4d50 | 772 | // Retrieve calibration parameters from OCDB, drift velocity and t0 for the detector region specified by |
773 | // a previous call to AliTRDclusterResolution::SetCalibrationRegion(). | |
774 | ||
56f313bd | 775 | AliCDBManager *cdb = AliCDBManager::Instance(); // check access OCDB |
1ee39b3a | 776 | if(cdb->GetRun() < 0){ |
777 | AliError("OCDB manager not properly initialized"); | |
778 | return kFALSE; | |
779 | } | |
1ee39b3a | 780 | // check magnetic field |
56f313bd | 781 | if(!TGeoGlobalMagField::Instance() || !TGeoGlobalMagField::Instance()->IsLocked()){ |
782 | AliError("Magnetic field not available."); | |
801d4d50 | 783 | return kFALSE; |
1ee39b3a | 784 | } |
785 | ||
1ee39b3a | 786 | AliTRDcalibDB *fCalibration = AliTRDcalibDB::Instance(); |
801d4d50 | 787 | AliTRDCalROC *fCalVdriftROC(fCalibration->GetVdriftROC(fDet>=0?fDet:0)) |
788 | ,*fCalT0ROC(fCalibration->GetT0ROC(fDet>=0?fDet:0)); | |
1ee39b3a | 789 | const AliTRDCalDet *fCalVdriftDet = fCalibration->GetVdriftDet(); |
5935a6da | 790 | const AliTRDCalDet *fCalT0Det = fCalibration->GetT0Det(); |
1ee39b3a | 791 | |
56f313bd | 792 | if(IsUsingCalibParam(kVdrift)){ |
793 | fVdrift = fCalVdriftDet->GetValue(fDet>=0?fDet:0); | |
794 | if(fCol>=0 && fRow>=0) fVdrift*= fCalVdriftROC->GetValue(fCol, fRow); | |
795 | } | |
5935a6da | 796 | fExB = AliTRDCommonParam::Instance()->GetOmegaTau(fVdrift); |
bce4b27e | 797 | AliTRDCommonParam::Instance()->GetDiffCoeff(fDt, fDl, fVdrift); |
56f313bd | 798 | if(IsUsingCalibParam(kT0)){ |
799 | fT0 = fCalT0Det->GetValue(fDet>=0?fDet:0); | |
800 | if(fCol>=0 && fRow>=0) fT0 *= fCalT0ROC->GetValue(fCol, fRow); | |
801 | } | |
802 | if(IsUsingCalibParam(kGain)) fGain = (fCol>=0 && fRow>=0)?fCalibration-> GetGainFactor(fDet, fCol, fRow):fCalibration-> GetGainFactorAverage(fDet); | |
803 | ||
e3147647 | 804 | SetBit(kCalibrated); |
5935a6da | 805 | |
5468a262 | 806 | AliInfo(Form("Calibration D[%3d] Col[%3d] Row[%2d] : \n t0[%5.3f] vd[%5.3f] gain[%5.3f] ExB[%f] DiffT[%f] DiffL[%f]", fDet, fCol, fRow, fT0, fVdrift, fGain, fExB, fDt, fDl)); |
5935a6da | 807 | |
1ee39b3a | 808 | return kTRUE; |
809 | } | |
810 | ||
5468a262 | 811 | //_______________________________________________________ |
812 | Bool_t AliTRDclusterResolution::LoadGlobalChamberPosition() | |
813 | { | |
814 | // Retrieve global chamber position from alignment | |
815 | // a previous call to AliTRDclusterResolution::SetCalibrationRegion() is mandatory. | |
816 | ||
817 | TGeoHMatrix *matrix(NULL); | |
818 | Double_t loc[] = {0., 0., 0.}, glb[] = {0., 0., 0.}; | |
819 | AliTRDgeometry *geo(AliTRDinfoGen::Geometry()); | |
820 | if(!(matrix= geo->GetClusterMatrix(fDet))) { | |
821 | AliFatal(Form("Could not get transformation matrix for detector %d.", fDet)); | |
822 | return kFALSE; | |
823 | } | |
824 | matrix->LocalToMaster(loc, glb); | |
825 | fXch = glb[0]+ AliTRDgeometry::AnodePos()-.5*AliTRDgeometry::AmThick() - AliTRDgeometry::DrThick(); | |
826 | AliTRDpadPlane *pp(geo->GetPadPlane(fDet)); | |
827 | fH = TMath::Tan(pp->GetTiltingAngle()*TMath::DegToRad()); | |
828 | fZch = 0.; | |
829 | if(fRow>=0){ | |
830 | fZch = pp->GetRowPos(fRow)+0.5*pp->GetLengthIPad(); | |
831 | }else{ | |
832 | Int_t nrows(pp->GetNrows()); | |
833 | Float_t zmax(pp->GetRow0()), | |
834 | zmin(zmax - 2 * pp->GetLengthOPad() | |
835 | - (nrows-2) * pp->GetLengthIPad() | |
836 | - (nrows-1) * pp->GetRowSpacing()); | |
837 | fZch = 0.5*(zmin+zmax); | |
838 | } | |
839 | ||
840 | AliInfo(Form("Global pos. D[%3d] Col[%3d] Row[%2d] : \n x[%6.2f] z[%6.2f] h[%+6.2f].", fDet, fCol, fRow, fXch, fZch, fH)); | |
841 | SetBit(kGlobal); | |
842 | return kTRUE; | |
843 | } | |
844 | ||
801d4d50 | 845 | //_______________________________________________________ |
846 | void AliTRDclusterResolution::SetCalibrationRegion(Int_t det, Int_t col, Int_t row) | |
847 | { | |
848 | // Set calibration region in terms of detector and pad. | |
849 | // By default detector 0 mean values are considered. | |
850 | ||
851 | if(det>=0 && det<AliTRDgeometry::kNdet){ | |
852 | fDet = det; | |
853 | if(col>=0 && row>=0){ | |
5468a262 | 854 | // check pad col/row for detector |
855 | AliTRDgeometry *geo = AliTRDinfoGen::Geometry(); | |
856 | AliTRDpadPlane *pp(geo->GetPadPlane(fDet)); | |
857 | if(fCol>=pp->GetNcols() || | |
858 | fRow>=pp->GetNrows()){ | |
859 | AliWarning(Form("Pad coordinates col[%d] or row[%d] incorrect for det[%d].\nLimits are max col[%d] max row[%d]. Reset to default", fCol, fRow, fDet, pp->GetNcols(), pp->GetNrows())); | |
860 | fCol = -1; fRow=-1; | |
861 | } else { | |
862 | fCol = col; | |
863 | fRow = row; | |
864 | } | |
801d4d50 | 865 | } |
5468a262 | 866 | } else { |
867 | AliFatal(Form("Detector index outside range [0 %d].", AliTRDgeometry::kNdet)); | |
801d4d50 | 868 | } |
5468a262 | 869 | return; |
801d4d50 | 870 | } |
871 | ||
1ee39b3a | 872 | //_______________________________________________________ |
873 | void AliTRDclusterResolution::SetVisual() | |
874 | { | |
875 | if(fCanvas) return; | |
876 | fCanvas = new TCanvas("clResCanvas", "Cluster Resolution Visualization", 10, 10, 600, 600); | |
877 | } | |
878 | ||
879 | //_______________________________________________________ | |
880 | void AliTRDclusterResolution::ProcessCharge() | |
881 | { | |
882 | // Resolution as a function of cluster charge. | |
883 | // | |
884 | // As described in the function ProcessCenterPad() the error parameterization for clusters for phi = a_L can be | |
885 | // written as: | |
886 | // BEGIN_LATEX | |
887 | // #sigma_{y}^{2} = #sigma_{y}^{2}|_{B=0} + tg^{2}(#alpha_{L})*#sigma_{x}^{2} | |
888 | // END_LATEX | |
889 | // with the contribution in case of B=0 given by: | |
890 | // BEGIN_LATEX | |
891 | // #sigma_{y}|_{B=0} = #sigma_{diff}*Gauss(0, s_{ly}) + #delta_{#sigma}(q) | |
892 | // END_LATEX | |
893 | // which further can be simplified to: | |
894 | // BEGIN_LATEX | |
895 | // <#sigma_{y}|_{B=0}>(q) = <#sigma_{y}> + #delta_{#sigma}(q) | |
896 | // <#sigma_{y}> = #int{f(q)#sigma_{y}dq} | |
897 | // END_LATEX | |
898 | // The results for s_y and f(q) are displayed below: | |
899 | //Begin_Html | |
900 | //<img src="TRD/clusterQerror.gif"> | |
901 | //End_Html | |
902 | // The function has to extended to accomodate gain calibration scalling and errors. | |
903 | // | |
904 | // Author | |
905 | // Alexandru Bercuci <A.Bercuci@gsi.de> | |
906 | ||
2489d4c8 | 907 | |
908 | ||
909 | TObjArray *arr(NULL); | |
910 | if(!(arr = (TObjArray*)fContainer->At(kYSys))) { | |
911 | AliError("Missing systematic container"); | |
912 | return; | |
913 | } | |
914 | TH3S *h3s(NULL); | |
915 | if(!(h3s = (TH3S*)arr->At(0))){ | |
916 | AliError("Missing systematic histo"); | |
917 | return; | |
918 | } | |
919 | // PROCESS SYSTEMATIC | |
920 | Float_t tmin(6.5), tmax(20.5), tmed(0.5*(tmin+tmax)); | |
921 | TGraphErrors *g[2]; TH1 *h(NULL); | |
922 | g[0] = new TGraphErrors(); | |
923 | g[0]->SetMarkerStyle(24);g[0]->SetMarkerColor(kBlue);g[0]->SetLineColor(kBlue); | |
924 | g[1] = new TGraphErrors(); | |
925 | g[1]->SetMarkerStyle(24);g[1]->SetMarkerColor(kRed);g[1]->SetLineColor(kRed); | |
926 | // define model for systematic shift vs pw | |
927 | TF1 fm("fm", "[0]+[1]*sin(x*[2])", -.45,.45); | |
928 | fm.SetParameter(0, 0.); fm.SetParameter(1, 1.e-2); fm.FixParameter(2, TMath::TwoPi()); | |
929 | fm.SetParNames("#deltay", "#pm#delta", "2*#pi"); | |
930 | h3s->GetXaxis()->SetRange(tmin, tmax); | |
931 | if(!AliTRDresolution::Process((TH2*)h3s->Project3D("zy"), g))return; | |
932 | g[0]->Fit(&fm, "QR"); | |
933 | if(fCanvas){ | |
934 | g[0]->Draw("apl"); | |
935 | fCanvas->Modified(); fCanvas->Update(); | |
936 | h = g[0]->GetHistogram(); | |
937 | h->SetTitle(fm.GetTitle()); | |
938 | h->GetXaxis()->SetTitle("pw");h->GetXaxis()->CenterTitle(); | |
939 | h->GetYaxis()->SetTitle("#Delta y[cm]");h->GetYaxis()->CenterTitle(); | |
940 | if(IsSaveAs()) fCanvas->SaveAs(Form("D%03d_SysNormTrack_pw.gif", fDet)); | |
941 | else gSystem->Sleep(100); | |
942 | } | |
943 | ||
944 | // define model for systematic shift vs tb | |
945 | TF1 fx("fx", "[0]+0.1*[1]*(x-[2])", tmin, tmax); | |
946 | fx.SetParNames("#deltay", "#deltay/t", "<t>"); | |
947 | fx.FixParameter(2, tmed); | |
948 | h3s->GetXaxis()->UnZoom(); | |
949 | if(!AliTRDresolution::Process((TH2*)h3s->Project3D("zx"), g)) return; | |
950 | g[0]->Fit(&fx, "Q", "", tmin, tmax); | |
951 | if(fCanvas){ | |
952 | g[0]->Draw("apl"); | |
953 | fCanvas->Modified(); fCanvas->Update(); | |
954 | h = g[0]->GetHistogram(); | |
955 | h->SetTitle(fx.GetTitle()); | |
956 | h->GetXaxis()->SetTitle("t [tb]");h->GetXaxis()->CenterTitle(); | |
957 | h->GetYaxis()->SetTitle("#Delta y[cm]");h->GetYaxis()->CenterTitle(); | |
958 | if(IsSaveAs()) fCanvas->SaveAs(Form("D%03d_SysNormTrack_tb.gif", fDet)); | |
959 | else gSystem->Sleep(100); | |
960 | } | |
961 | ||
5935a6da | 962 | TH3S *h3(NULL); |
ebc01dc0 | 963 | if(!(h3 = (TH3S*)fContainer->At(kYRes))) { |
1ee39b3a | 964 | AliWarning("Missing dy=f(Q) histo"); |
965 | return; | |
966 | } | |
967 | TF1 f("f", "gaus", -.5, .5); | |
5935a6da | 968 | TAxis *ax(NULL); |
969 | TH1 *h1(NULL); | |
1ee39b3a | 970 | |
971 | // compute mean error on x | |
972 | Double_t s2x = 0.; | |
5935a6da | 973 | for(Int_t ix=5; ix<AliTRDseedV1::kNtb; ix++){ |
1ee39b3a | 974 | // retrieve error on the drift length |
975 | s2x += AliTRDcluster::GetSX(ix); | |
976 | } | |
5935a6da | 977 | s2x /= (AliTRDseedV1::kNtb-5); s2x *= s2x; |
76d976d2 | 978 | //Double_t exb2 = fExB*fExB; |
1ee39b3a | 979 | |
2489d4c8 | 980 | arr = (TObjArray*)fResults->At(kYRes); |
1ee39b3a | 981 | TGraphErrors *gqm = (TGraphErrors*)arr->At(0); |
982 | TGraphErrors *gqs = (TGraphErrors*)arr->At(1); | |
983 | TGraphErrors *gqp = (TGraphErrors*)arr->At(2); | |
984 | Double_t q, n = 0., entries; | |
5935a6da | 985 | ax = h3->GetXaxis(); |
1ee39b3a | 986 | for(Int_t ix=1; ix<=ax->GetNbins(); ix++){ |
987 | q = TMath::Exp(ax->GetBinCenter(ix)); | |
5935a6da | 988 | ax->SetRange(ix, ix); |
989 | h1 = h3->Project3D("y"); | |
1ee39b3a | 990 | entries = h1->GetEntries(); |
5935a6da | 991 | if(entries < 150) continue; |
1ee39b3a | 992 | h1->Fit(&f, "Q"); |
993 | ||
994 | // Fill sy^2 = f(q) | |
995 | Int_t ip = gqm->GetN(); | |
996 | gqm->SetPoint(ip, q, 1.e4*f.GetParameter(1)); | |
997 | gqm->SetPointError(ip, 0., 1.e4*f.GetParError(1)); | |
998 | ||
999 | // correct sigma for ExB effect | |
5935a6da | 1000 | gqs->SetPoint(ip, q, 1.e4*f.GetParameter(2)/**f.GetParameter(2)-exb2*s2x)*/); |
1001 | gqs->SetPointError(ip, 0., 1.e4*f.GetParError(2)/**f.GetParameter(2)*/); | |
1ee39b3a | 1002 | |
1003 | // save probability | |
1004 | n += entries; | |
1005 | gqp->SetPoint(ip, q, entries); | |
1006 | gqp->SetPointError(ip, 0., 0./*TMath::Sqrt(entries)*/); | |
1007 | } | |
1008 | ||
1009 | // normalize probability and get mean sy | |
1010 | Double_t sm = 0., sy; | |
1011 | for(Int_t ip=gqp->GetN(); ip--;){ | |
1012 | gqp->GetPoint(ip, q, entries); | |
1013 | entries/=n; | |
5935a6da | 1014 | gqp->SetPoint(ip, q, 1.e4*entries); |
1ee39b3a | 1015 | gqs->GetPoint(ip, q, sy); |
1016 | sm += entries*sy; | |
1017 | } | |
1018 | ||
1019 | // error parametrization s(q) = <sy> + b(1/q-1/q0) | |
1020 | TF1 fq("fq", "[0] + [1]/x", 20., 250.); | |
1021 | gqs->Fit(&fq/*, "W"*/); | |
1022 | printf("sm=%f [0]=%f [1]=%f\n", 1.e-4*sm, fq.GetParameter(0), fq.GetParameter(1)); | |
1023 | printf(" const Float_t sq0inv = %f; // [1/q0]\n", (sm-fq.GetParameter(0))/fq.GetParameter(1)); | |
1024 | printf(" const Float_t sqb = %f; // [cm]\n", 1.e-4*fq.GetParameter(1)); | |
1025 | } | |
1026 | ||
1027 | //_______________________________________________________ | |
2489d4c8 | 1028 | Bool_t AliTRDclusterResolution::ProcessNormalTracks() |
1ee39b3a | 1029 | { |
1030 | // Resolution as a function of y displacement from pad center and drift length. | |
1031 | // | |
1032 | // Since the error parameterization of cluster r-phi position can be written as (see AliTRDcluster::SetSigmaY2()): | |
1033 | // BEGIN_LATEX | |
1034 | // #sigma_{y}^{2} = (#sigma_{diff}*Gauss(0, s_{ly}) + #delta_{#sigma}(q))^{2} + tg^{2}(#alpha_{L})*#sigma_{x}^{2} + tg^{2}(#phi-#alpha_{L})*#sigma_{x}^{2}+[tg(#phi-#alpha_{L})*tg(#alpha_{L})*x]^{2}/12 | |
1035 | // END_LATEX | |
1036 | // one can see that for phi = a_L one gets the following expression: | |
1037 | // BEGIN_LATEX | |
1038 | // #sigma_{y}^{2} = #sigma_{y}^{2}|_{B=0} + tg^{2}(#alpha_{L})*#sigma_{x}^{2} | |
1039 | // END_LATEX | |
1040 | // where we have explicitely marked the remaining term in case of absence of magnetic field. Thus one can use the | |
1041 | // previous equation to estimate s_y for B=0 and than by comparing in magnetic field conditions one can get the s_x. | |
1042 | // This is a simplified method to determine the error parameterization for s_x and s_y as compared to the one | |
1043 | // implemented in ProcessSigma(). For more details on cluster error parameterization please see also | |
1044 | // AliTRDcluster::SetSigmaY2() | |
1045 | // | |
1046 | // The representation of dy=f(y_cen, x_drift| layer) can be also used to estimate the systematic shift in the r-phi | |
1047 | // coordinate resulting from imperfection in the cluster shape parameterization. From the expresion of the shift derived | |
1048 | // in ProcessMean() with phi=exb one gets: | |
1049 | // BEGIN_LATEX | |
1050 | // <#Delta y>= <#delta x> * (tg(#alpha_{L})-h*dz/dx) + <#delta y - #delta x * tg(#alpha_{L})> | |
1051 | // <#Delta y>(y_{cen})= -h*<#delta x>(x_{drift}, q_{cl}) * dz/dx + #delta y(y_{cen}, ...) | |
1052 | // END_LATEX | |
1053 | // where all dependences are made explicit. This last expression can be used in two ways: | |
1054 | // - by average on the dz/dx we can determine directly dy (the method implemented here) | |
1055 | // - by plotting as a function of dzdx one can determine both dx and dy components in an independent method. | |
1056 | //Begin_Html | |
1057 | //<img src="TRD/clusterYcorr.gif"> | |
1058 | //End_Html | |
1059 | // Author | |
1060 | // Alexandru Bercuci <A.Bercuci@gsi.de> | |
1061 | ||
5468a262 | 1062 | TObjArray *arr(NULL); |
2489d4c8 | 1063 | TH3S *h3r(NULL), *h3t(NULL); |
5468a262 | 1064 | if(!(arr= (TObjArray*)fContainer->At(kYRes))) { |
1065 | AliError("Missing resolution container"); | |
2489d4c8 | 1066 | return kFALSE; |
1067 | } | |
1068 | if(!(h3r = (TH3S*)arr->At(0))){ | |
1069 | AliError("Missing resolution pw/q histo"); | |
1070 | return kFALSE; | |
1071 | } else if(!(Int_t)h3r->GetEntries()){ | |
1072 | AliError("Empty resolution pw/q histo"); | |
1073 | return kFALSE; | |
1074 | } | |
1075 | if(!(h3t = (TH3S*)arr->At(2))){ | |
1076 | AliError("Missing resolution t histo"); | |
1077 | return kFALSE; | |
1078 | } else if(!(Int_t)h3t->GetEntries()){ | |
1079 | AliError("Empty resolution t histo"); | |
1080 | return kFALSE; | |
5468a262 | 1081 | } |
5468a262 | 1082 | |
2489d4c8 | 1083 | // local variables |
1084 | Double_t x(0.), y(0.), ex(0.), ey(0.); | |
5468a262 | 1085 | Float_t tmin(6.5), tmax(20.5), tmed(0.5*(tmin+tmax)); |
1086 | TGraphErrors *g[2]; TH1 *h(NULL); | |
1087 | g[0] = new TGraphErrors(); | |
1088 | g[0]->SetMarkerStyle(24);g[0]->SetMarkerColor(kBlue);g[0]->SetLineColor(kBlue); | |
1089 | g[1] = new TGraphErrors(); | |
1090 | g[1]->SetMarkerStyle(24);g[1]->SetMarkerColor(kRed);g[1]->SetLineColor(kRed); | |
5468a262 | 1091 | |
2489d4c8 | 1092 | // PROCESS RESOLUTION VS TB |
5468a262 | 1093 | TF1 fsx("fsx", "[0]*[0]+[1]*[1]*[2]*0.1*(x-[3])", tmin, tmax); |
2489d4c8 | 1094 | fsx.SetParNames("#sqrt{<#sigma^{2}(prf, q)>}(t_{med})", "D_{T}", "v_{drift}", "t_{med}"); |
5468a262 | 1095 | fsx.FixParameter(1, fDt); |
1096 | fsx.SetParameter(2, fVdrift); | |
1097 | fsx.FixParameter(3, tmed); | |
2489d4c8 | 1098 | if(!AliTRDresolution::Process((TH2*)h3r->Project3D("yx"), g)) return kFALSE; |
5468a262 | 1099 | for(Int_t ip(0); ip<g[1]->GetN(); ip++){ |
1100 | g[1]->GetPoint(ip, x, y);ex = g[1]->GetErrorX(ip); ey = g[1]->GetErrorY(ip); | |
1101 | g[1]->SetPoint(ip, x, y*y);g[1]->SetPointError(ip, ex, 2*y*ey); | |
1102 | } | |
1103 | g[1]->Fit(&fsx, "Q", "", tmin, tmax); | |
1104 | if(fCanvas){ | |
1105 | g[1]->Draw("apl"); | |
1106 | fCanvas->Modified(); fCanvas->Update(); | |
1107 | h = g[1]->GetHistogram(); | |
1108 | h->SetTitle(fsx.GetTitle()); | |
1109 | h->GetXaxis()->SetTitle("t [tb]");h->GetXaxis()->CenterTitle(); | |
1110 | h->GetYaxis()->SetTitle("#sigma^{2} (y) [cm^{2}]");h->GetYaxis()->CenterTitle(); | |
1111 | if(IsSaveAs()) fCanvas->SaveAs(Form("D%03d_ResNormTrack_tb.gif", fDet)); | |
1112 | else gSystem->Sleep(100); | |
1113 | } | |
1ee39b3a | 1114 | |
5468a262 | 1115 | // define model for resolution vs pw |
1116 | TF1 fg("fg", "gaus", -.5, .5); fg.FixParameter(1, 0.); | |
1117 | TF1 fs("fs", "[0]*[0]*exp(-1*(x/[1])**2)+[2]", -.5, .5); | |
1118 | fs.SetParNames("<#sigma^{max}(q,prf)>_{q}", "#sigma(pw)", "D_{T}^{2}*<x>"); | |
1119 | h3r->GetXaxis()->SetRange(tmin, tmax); | |
2489d4c8 | 1120 | if(!AliTRDresolution::Process((TH2*)h3r->Project3D("zy"), g, 200)) return kFALSE; |
5468a262 | 1121 | for(Int_t ip(0); ip<g[1]->GetN(); ip++){ |
1122 | g[1]->GetPoint(ip, x, y); ex = g[1]->GetErrorX(ip); ey = g[1]->GetErrorY(ip); | |
1123 | g[1]->SetPoint(ip, x, y*y);g[1]->SetPointError(ip, ex, 2.*y*ey); | |
1124 | } | |
1125 | g[1]->Fit(&fg, "QR"); | |
1126 | fs.SetParameter(0, TMath::Sqrt(fg.GetParameter(0))); | |
1127 | fs.SetParameter(1, fg.GetParameter(2)); | |
1128 | Float_t sdiff(fDt*fDt*fsx.GetParameter(2)*tmed*0.1); | |
1129 | fs.SetParameter(2, sdiff); | |
1130 | fs.SetParLimits(2, 0.1*sdiff, 1.9*sdiff); | |
1131 | g[1]->Fit(&fs, "QR"); | |
1132 | if(fCanvas){ | |
1133 | g[1]->Draw("apl"); | |
1134 | fCanvas->Modified(); fCanvas->Update(); | |
1135 | h = g[1]->GetHistogram(); | |
1136 | h->SetTitle(fs.GetTitle()); | |
1137 | h->GetXaxis()->SetTitle("pw");h->GetXaxis()->CenterTitle(); | |
1138 | h->GetYaxis()->SetTitle("#sigma^{2} (y) [cm^{2}]");h->GetYaxis()->CenterTitle(); | |
1139 | if(IsSaveAs()) fCanvas->SaveAs(Form("D%03d_ResNormTrack_pw.gif", fDet)); | |
1140 | else gSystem->Sleep(100); | |
1141 | } | |
1ee39b3a | 1142 | |
5468a262 | 1143 | AliDebug(2, Form("<s(q,prf)>[mum] = %7.3f", 1.e4*TMath::Sqrt(fsx.Eval(0.)))); |
1144 | AliDebug(2, Form("<s(q)>[mum] = %7.3f", 1.e4*TMath::Sqrt(fs.Eval(-0.5)-fs.GetParameter(2)))); | |
1145 | AliDebug(2, Form("<s(x)>[mum] = %7.3f(prf) %7.3f(diff)", 1.e4*TMath::Sqrt(fs.GetParameter(2)), 1.e4*TMath::Sqrt(sdiff))); | |
1146 | ||
1147 | // define model for resolution vs q | |
1148 | TF1 fq("fq", "[0]*[0]*exp(-1*[1]*(x-[2])**2)+[2]", 2.5, 5.5); | |
1149 | fq.SetParNames("<#sigma^{max}(q,prf)>_{prf}", "slope","mean", "D_{T}^{2}*<x>"); | |
2489d4c8 | 1150 | if(!AliTRDresolution::Process((TH2*)h3t->Project3D("yx"), g)) return kFALSE; |
5468a262 | 1151 | for(Int_t ip(0); ip<g[1]->GetN(); ip++){ |
1152 | g[1]->GetPoint(ip, x, y); ex = g[1]->GetErrorX(ip); ey = g[1]->GetErrorY(ip); | |
1153 | g[1]->SetPoint(ip, x, y*y);g[1]->SetPointError(ip, ex, 2.*y*ey); | |
1154 | } | |
1155 | fq.SetParameter(0, 8.e-2); fq.SetParLimits(0, 0., 1.); | |
1156 | fq.SetParameter(1, 1.); //fq.SetParLimits(1, -1., 0.); | |
1157 | fq.SetParameter(3, sdiff); fq.SetParLimits(3, 0.1*sdiff, 1.9*sdiff); | |
1158 | g[1]->Fit(&fq, "QR"); | |
1159 | // AliDebug(2, Form("<sq>[mum] = %7.3f", 1.e4*TMath::Sqrt(fs.Eval(-0.5)-fs.GetParameter(2))); | |
1160 | // AliDebug(2, Form("<sx>[mum] = %7.3f(prf) %7.3f(diff)", 1.e4*TMath::Sqrt(fs.Eval(-0.5)-fs.GetParameter(2)), 1.e4*TMath::Sqrt(sdiff))); | |
1161 | if(fCanvas){ | |
1162 | g[1]->Draw("apl"); | |
1ee39b3a | 1163 | fCanvas->Modified(); fCanvas->Update(); |
5468a262 | 1164 | h = g[1]->GetHistogram(); |
1165 | h->SetTitle(fs.GetTitle()); | |
1166 | h->GetXaxis()->SetTitle("log(q) [a.u.]");h->GetXaxis()->CenterTitle(); | |
1167 | h->GetYaxis()->SetTitle("#sigma^{2} (y) [cm^{2}]");h->GetYaxis()->CenterTitle(); | |
1168 | if(IsSaveAs()) fCanvas->SaveAs(Form("D%03d_ResNormTrack_q.gif", fDet)); | |
1ee39b3a | 1169 | else gSystem->Sleep(100); |
1170 | } | |
2489d4c8 | 1171 | return kTRUE; |
1ee39b3a | 1172 | } |
1173 | ||
1174 | //_______________________________________________________ | |
1175 | void AliTRDclusterResolution::ProcessSigma() | |
1176 | { | |
1177 | // As the r-phi coordinate is the only one which is measured by the TRD detector we have to rely on it to | |
1178 | // estimate both the radial (x) and r-phi (y) errors. This method is based on the following assumptions. | |
1179 | // The measured error in the y direction is the sum of the intrinsic contribution of the r-phi measurement | |
1180 | // with the contribution of the radial measurement - because x is not a parameter of Alice track model (Kalman). | |
1181 | // BEGIN_LATEX | |
1182 | // #sigma^{2}|_{y} = #sigma^{2}_{y*} + #sigma^{2}_{x*} | |
1183 | // END_LATEX | |
1184 | // In the general case | |
1185 | // BEGIN_LATEX | |
1186 | // #sigma^{2}_{y*} = #sigma^{2}_{y} + tg^{2}(#alpha_{L})#sigma^{2}_{x_{drift}} | |
1187 | // #sigma^{2}_{x*} = tg^{2}(#phi - #alpha_{L})*(#sigma^{2}_{x_{drift}} + #sigma^{2}_{x_{0}} + tg^{2}(#alpha_{L})*x^{2}/12) | |
1188 | // END_LATEX | |
1189 | // where we have explicitely show the lorentz angle correction on y and the projection of radial component on the y | |
1190 | // direction through the track angle in the bending plane (phi). Also we have shown that the radial component in the | |
1191 | // last equation has twp terms, the drift and the misalignment (x_0). For ideal geometry or known misalignment one | |
1192 | // can solve the equation | |
1193 | // BEGIN_LATEX | |
1194 | // #sigma^{2}|_{y} = tg^{2}(#phi - #alpha_{L})*(#sigma^{2}_{x} + tg^{2}(#alpha_{L})*x^{2}/12)+ [#sigma^{2}_{y} + tg^{2}(#alpha_{L})#sigma^{2}_{x}] | |
1195 | // END_LATEX | |
1196 | // by fitting a straight line: | |
1197 | // BEGIN_LATEX | |
1198 | // #sigma^{2}|_{y} = a(x_{cl}, z_{cl}) * tg^{2}(#phi - #alpha_{L}) + b(x_{cl}, z_{cl}) | |
1199 | // END_LATEX | |
1200 | // the error parameterization will be given by: | |
1201 | // BEGIN_LATEX | |
1202 | // #sigma_{x} (x_{cl}, z_{cl}) = #sqrt{a(x_{cl}, z_{cl}) - tg^{2}(#alpha_{L})*x^{2}/12} | |
1203 | // #sigma_{y} (x_{cl}, z_{cl}) = #sqrt{b(x_{cl}, z_{cl}) - #sigma^{2}_{x} (x_{cl}, z_{cl}) * tg^{2}(#alpha_{L})} | |
1204 | // END_LATEX | |
1205 | // Below there is an example of such dependency. | |
1206 | //Begin_Html | |
1207 | //<img src="TRD/clusterSigmaMethod.gif"> | |
1208 | //End_Html | |
1209 | // | |
1210 | // The error parameterization obtained by this method are implemented in the functions AliTRDcluster::GetSX() and | |
1211 | // AliTRDcluster::GetSYdrift(). For an independent method to determine s_y as a function of drift length check the | |
1212 | // function ProcessCenterPad(). One has to keep in mind that while this method return the mean s_y over the distance | |
1213 | // to pad center distribution the other method returns the *STANDARD* value at center=0 (maximum). To recover the | |
1214 | // standard value one has to solve the obvious equation: | |
1215 | // BEGIN_LATEX | |
1216 | // #sigma_{y}^{STANDARD} = #frac{<#sigma_{y}>}{#int{s exp(s^{2}/#sigma) ds}} | |
1217 | // END_LATEX | |
1218 | // with "<s_y>" being the value calculated here and "sigma" the width of the s_y distribution calculated in | |
1219 | // ProcessCenterPad(). | |
1220 | // | |
1221 | // Author | |
1222 | // Alexandru Bercuci <A.Bercuci@gsi.de> | |
1223 | ||
1224 | TObjArray *arr = (TObjArray*)fContainer->At(kSigm); | |
1225 | if(!arr){ | |
1226 | AliWarning("Missing dy=f(x_d, d_w) container"); | |
1227 | return; | |
1228 | } | |
1229 | ||
1230 | // init visualization | |
4226db3e | 1231 | TGraphErrors *ggs = NULL; |
1232 | TGraph *line = NULL; | |
1ee39b3a | 1233 | if(fCanvas){ |
1234 | ggs = new TGraphErrors(); | |
1235 | line = new TGraph(); | |
1236 | line->SetLineColor(kRed);line->SetLineWidth(2); | |
1237 | } | |
1238 | ||
1239 | // init logistic support | |
1240 | TF1 f("f", "gaus", -.5, .5); | |
1241 | TLinearFitter gs(1,"pol1"); | |
4226db3e | 1242 | TH1 *hFrame=NULL; |
1243 | TH1D *h1 = NULL; TH3S *h3=NULL; | |
1244 | TAxis *ax = NULL; | |
5935a6da | 1245 | Double_t exb2 = fExB*fExB; |
1ee39b3a | 1246 | AliTRDcluster c; |
1247 | TTree *t = (TTree*)fResults->At(kSigm); | |
5935a6da | 1248 | for(Int_t ix=0; ix<AliTRDseedV1::kNtb; ix++){ |
1ee39b3a | 1249 | if(!(h3=(TH3S*)arr->At(ix))) continue; |
1250 | c.SetPadTime(ix); | |
5935a6da | 1251 | fX = c.GetXloc(fT0, fVdrift); |
1252 | fT = c.GetLocalTimeBin(); // ideal | |
1253 | printf(" pad time[%d] local[%f]\n", ix, fT); | |
1ee39b3a | 1254 | for(Int_t iz=1; iz<=h3->GetXaxis()->GetNbins(); iz++){ |
1255 | ax = h3->GetXaxis(); | |
1256 | ax->SetRange(iz, iz); | |
1257 | fZ = ax->GetBinCenter(iz); | |
1258 | ||
1259 | // reset visualization | |
1260 | if(fCanvas){ | |
1261 | new(ggs) TGraphErrors(); | |
1262 | ggs->SetMarkerStyle(7); | |
1263 | } | |
1264 | gs.ClearPoints(); | |
1265 | ||
1266 | for(Int_t ip=1; ip<=h3->GetYaxis()->GetNbins(); ip++){ | |
1267 | ax = h3->GetYaxis(); | |
1268 | ax->SetRange(ip, ip); | |
1269 | Double_t tgl = ax->GetBinCenter(ip); | |
1270 | // finish navigation in the HnSparse | |
1271 | ||
1272 | //if(TMath::Abs(dydx)>0.18) continue; | |
1273 | Double_t tgg = (tgl-fExB)/(1.+tgl*fExB); | |
1274 | Double_t tgg2 = tgg*tgg; | |
1275 | ||
1276 | h1 = (TH1D*)h3->Project3D("z"); | |
1277 | Int_t entries = (Int_t)h1->Integral(); | |
1278 | if(entries < 50) continue; | |
1279 | //Adjust(&f, h1); | |
1280 | h1->Fit(&f, "QN"); | |
1281 | ||
1282 | Double_t s2 = f.GetParameter(2)*f.GetParameter(2); | |
1283 | Double_t s2e = 2.*f.GetParameter(2)*f.GetParError(2); | |
1284 | // Fill sy^2 = f(tg^2(phi-a_L)) | |
1285 | gs.AddPoint(&tgg2, s2, s2e); | |
1286 | ||
1287 | if(!ggs) continue; | |
1288 | Int_t jp = ggs->GetN(); | |
1289 | ggs->SetPoint(jp, tgg2, s2); | |
1290 | ggs->SetPointError(jp, 0., s2e); | |
1291 | } | |
1292 | // TODO here a more robust fit method has to be provided | |
1293 | // for which lower boundaries on the parameters have to | |
1294 | // be imposed. Unfortunately the Minuit fit does not work | |
1295 | // for the TGraph in the case of B not 0. | |
1296 | if(gs.Eval()) continue; | |
1297 | ||
5935a6da | 1298 | fR[0] = gs.GetParameter(1) - fX*fX*exb2/12.; |
1299 | AliDebug(3, Form(" s2x+x2=%f ang=%f s2x=%f", gs.GetParameter(1), fX*fX*exb2/12., fR[0])); | |
1ee39b3a | 1300 | fR[0] = TMath::Max(fR[0], Float_t(4.e-4)); |
1301 | ||
1302 | // s^2_y = s0^2_y + tg^2(a_L) * s^2_x | |
1303 | // s0^2_y = f(D_L)*x + s_PRF^2 | |
1304 | fR[2]= gs.GetParameter(0)-exb2*fR[0]; | |
5935a6da | 1305 | AliDebug(3, Form(" s2y+s2x=%f s2y=%f", fR[0], fR[2])); |
1ee39b3a | 1306 | fR[2] = TMath::Max(fR[2], Float_t(2.5e-5)); |
1307 | fR[0] = TMath::Sqrt(fR[0]); | |
1308 | fR[1] = .5*gs.GetParError(1)/fR[0]; | |
1309 | fR[2] = TMath::Sqrt(fR[2]); | |
1310 | fR[3] = gs.GetParError(0)+exb2*exb2*gs.GetParError(1); | |
1311 | t->Fill(); | |
5935a6da | 1312 | AliDebug(2, Form("xd=%4.2f[cm] sx=%6.1f[um] sy=%5.1f[um]", fX, 1.e4*fR[0], 1.e4*fR[2])); |
1ee39b3a | 1313 | |
1314 | if(!fCanvas) continue; | |
1315 | fCanvas->cd(); fCanvas->SetLogx(); //fCanvas->SetLogy(); | |
1316 | if(!hFrame){ | |
1317 | fCanvas->SetMargin(0.15, 0.01, 0.1, 0.01); | |
1318 | hFrame=new TH1I("hFrame", "", 100, 0., .3); | |
1319 | hFrame->SetMinimum(0.);hFrame->SetMaximum(.005); | |
1320 | hFrame->SetXTitle("tg^{2}(#phi-#alpha_{L})"); | |
1321 | hFrame->SetYTitle("#sigma^{2}y[cm^{2}]"); | |
1322 | hFrame->GetYaxis()->SetTitleOffset(2.); | |
1323 | hFrame->SetLineColor(1);hFrame->SetLineWidth(1); | |
1324 | hFrame->Draw(); | |
1325 | } else hFrame->Reset(); | |
1326 | Double_t xx = 0., dxx=.2/50; | |
1327 | for(Int_t ip=0;ip<50;ip++){ | |
1328 | line->SetPoint(ip, xx, gs.GetParameter(0)+xx*gs.GetParameter(1)); | |
1329 | xx+=dxx; | |
1330 | } | |
1331 | ggs->Draw("pl"); line->Draw("l"); | |
1332 | fCanvas->Modified(); fCanvas->Update(); | |
1333 | if(IsSaveAs()) fCanvas->SaveAs(Form("Figures/ProcessSigma_z[%5.3f]_x[%5.3f].gif", fZ, fX)); | |
1334 | else gSystem->Sleep(100); | |
1335 | } | |
1336 | } | |
1337 | return; | |
1338 | } | |
1339 | ||
1340 | //_______________________________________________________ | |
1341 | void AliTRDclusterResolution::ProcessMean() | |
1342 | { | |
1343 | // By this method the cluster shift in r-phi and radial directions can be estimated by comparing with the MC. | |
1344 | // The resolution of the cluster corrected for pad tilt with respect to MC in the r-phi (measuring) plane can be | |
1345 | // expressed by: | |
1346 | // BEGIN_LATEX | |
1347 | // #Delta y=w - y_{MC}(x_{cl}) | |
1348 | // w = y_{cl}^{'} + h*(z_{MC}(x_{cl})-z_{cl}) | |
1349 | // y_{MC}(x_{cl}) = y_{0} - dy/dx*x_{cl} | |
1350 | // z_{MC}(x_{cl}) = z_{0} - dz/dx*x_{cl} | |
1351 | // y_{cl}^{'} = y_{cl}-x_{cl}*tg(#alpha_{L}) | |
1352 | // END_LATEX | |
1353 | // where x_cl is the drift length attached to a cluster, y_cl is the r-phi coordinate of the cluster measured by | |
1354 | // charge sharing on adjacent pads and y_0 and z_0 are MC reference points (as example the track references at | |
1355 | // entrance/exit of a chamber). If we suppose that both r-phi (y) and radial (x) coordinate of the clusters are | |
1356 | // affected by errors we can write | |
1357 | // BEGIN_LATEX | |
1358 | // x_{cl} = x_{cl}^{*} + #delta x | |
1359 | // y_{cl} = y_{cl}^{*} + #delta y | |
1360 | // END_LATEX | |
1361 | // where the starred components are the corrected values. Thus by definition the following quantity | |
1362 | // BEGIN_LATEX | |
1363 | // #Delta y^{*}= w^{*} - y_{MC}(x_{cl}^{*}) | |
1364 | // END_LATEX | |
1365 | // has 0 average over all dependency. Using this decomposition we can write: | |
1366 | // BEGIN_LATEX | |
1367 | // <#Delta y>=<#Delta y^{*}> + <#delta x * (dy/dx-h*dz/dx) + #delta y - #delta x * tg(#alpha_{L})> | |
1368 | // END_LATEX | |
1369 | // which can be transformed to the following linear dependence: | |
1370 | // BEGIN_LATEX | |
1371 | // <#Delta y>= <#delta x> * (dy/dx-h*dz/dx) + <#delta y - #delta x * tg(#alpha_{L})> | |
1372 | // END_LATEX | |
1373 | // if expressed as function of dy/dx-h*dz/dx. Furtheremore this expression can be plotted for various clusters | |
1374 | // i.e. we can explicitely introduce the diffusion (x_cl) and drift cell - anisochronity (z_cl) dependences. From | |
1375 | // plotting this dependence and linear fitting it with: | |
1376 | // BEGIN_LATEX | |
1377 | // <#Delta y>= a(x_{cl}, z_{cl}) * (dy/dx-h*dz/dx) + b(x_{cl}, z_{cl}) | |
1378 | // END_LATEX | |
1379 | // the systematic shifts will be given by: | |
1380 | // BEGIN_LATEX | |
1381 | // #delta x (x_{cl}, z_{cl}) = a(x_{cl}, z_{cl}) | |
1382 | // #delta y (x_{cl}, z_{cl}) = b(x_{cl}, z_{cl}) + a(x_{cl}, z_{cl}) * tg(#alpha_{L}) | |
1383 | // END_LATEX | |
1384 | // Below there is an example of such dependency. | |
1385 | //Begin_Html | |
1386 | //<img src="TRD/clusterShiftMethod.gif"> | |
1387 | //End_Html | |
1388 | // | |
1389 | // The occurance of the radial shift is due to the following conditions | |
1390 | // - the approximation of a constant drift velocity over the drift length (larger drift velocities close to | |
1391 | // cathode wire plane) | |
1392 | // - the superposition of charge tails in the amplification region (first clusters appear to be located at the | |
1393 | // anode wire) | |
1394 | // - the superposition of charge tails in the drift region (shift towards anode wire) | |
1395 | // - diffusion effects which convolute with the TRF thus enlarging it | |
1396 | // - approximate knowledge of the TRF (approximate measuring in test beam conditions) | |
1397 | // | |
1398 | // The occurance of the r-phi shift is due to the following conditions | |
1399 | // - approximate model for cluster shape (LUT) | |
1400 | // - rounding-up problems | |
1401 | // | |
1402 | // The numerical results for ideal simulations for the radial and r-phi shifts are displayed below and used | |
1403 | // for the cluster reconstruction (see the functions AliTRDcluster::GetXcorr() and AliTRDcluster::GetYcorr()). | |
1404 | //Begin_Html | |
1405 | //<img src="TRD/clusterShiftX.gif"> | |
1406 | //<img src="TRD/clusterShiftY.gif"> | |
1407 | //End_Html | |
1408 | // More details can be found in the presentation given during the TRD | |
1409 | // software meeting at the end of 2008 and beginning of year 2009, published on indico.cern.ch. | |
1410 | // | |
1411 | // Author | |
1412 | // Alexandru Bercuci <A.Bercuci@gsi.de> | |
1413 | ||
1414 | ||
1415 | ||
1416 | TObjArray *arr = (TObjArray*)fContainer->At(kMean); | |
1417 | if(!arr){ | |
1418 | AliWarning("Missing dy=f(x_d, d_w) container"); | |
1419 | return; | |
1420 | } | |
1421 | ||
1422 | // init logistic support | |
1423 | TF1 f("f", "gaus", -.5, .5); | |
1424 | TF1 line("l", "[0]+[1]*x", -.15, .15); | |
1425 | TGraphErrors *gm = new TGraphErrors(); | |
4226db3e | 1426 | TH1 *hFrame=NULL; |
1427 | TH1D *h1 = NULL; TH3S *h3 =NULL; | |
1428 | TAxis *ax = NULL; | |
5935a6da | 1429 | |
1430 | AliDebug(1, Form("Calibrate for Det[%3d] t0[%5.3f] vd[%5.3f]", fDet, fT0, fVdrift)); | |
1ee39b3a | 1431 | |
1432 | AliTRDcluster c; | |
1433 | TTree *t = (TTree*)fResults->At(kMean); | |
5935a6da | 1434 | for(Int_t ix=0; ix<AliTRDseedV1::kNtb; ix++){ |
1ee39b3a | 1435 | if(!(h3=(TH3S*)arr->At(ix))) continue; |
1436 | c.SetPadTime(ix); | |
5935a6da | 1437 | fX = c.GetXloc(fT0, fVdrift); |
1438 | fT = c.GetLocalTimeBin(); | |
1ee39b3a | 1439 | for(Int_t iz=1; iz<=h3->GetXaxis()->GetNbins(); iz++){ |
1440 | ax = h3->GetXaxis(); | |
1441 | ax->SetRange(iz, iz); | |
1442 | fZ = ax->GetBinCenter(iz); | |
1443 | ||
1444 | // reset fitter | |
1445 | new(gm) TGraphErrors(); | |
1446 | gm->SetMarkerStyle(7); | |
1447 | ||
1448 | for(Int_t ip=1; ip<=h3->GetYaxis()->GetNbins(); ip++){ | |
1449 | ax = h3->GetYaxis(); | |
1450 | ax->SetRange(ip, ip); | |
1451 | Double_t tgl = ax->GetBinCenter(ip); | |
1452 | // finish navigation in the HnSparse | |
1453 | ||
1454 | h1 = (TH1D*)h3->Project3D("z"); | |
1455 | Int_t entries = (Int_t)h1->Integral(); | |
b9ddd472 | 1456 | if(entries < 50) continue; |
1ee39b3a | 1457 | //Adjust(&f, h1); |
1458 | h1->Fit(&f, "QN"); | |
1459 | ||
1460 | // Fill <Dy> = f(dydx - h*dzdx) | |
1461 | Int_t jp = gm->GetN(); | |
1462 | gm->SetPoint(jp, tgl, f.GetParameter(1)); | |
1463 | gm->SetPointError(jp, 0., f.GetParError(1)); | |
1464 | } | |
5935a6da | 1465 | if(gm->GetN()<10) continue; |
1ee39b3a | 1466 | |
1467 | gm->Fit(&line, "QN"); | |
1468 | fR[0] = line.GetParameter(1); // dx | |
1469 | fR[1] = line.GetParError(1); | |
1470 | fR[2] = line.GetParameter(0) + fExB*fR[0]; // xs = dy - tg(a_L)*dx | |
1471 | t->Fill(); | |
5935a6da | 1472 | AliDebug(2, Form("tb[%02d] xd=%4.2f[cm] dx=%6.2f[um] dy=%6.2f[um]", ix, fX, 1.e4*fR[0], 1.e4*fR[2])); |
1ee39b3a | 1473 | if(!fCanvas) continue; |
5935a6da | 1474 | |
1ee39b3a | 1475 | fCanvas->cd(); |
1476 | if(!hFrame){ | |
1477 | fCanvas->SetMargin(0.1, 0.02, 0.1, 0.01); | |
1478 | hFrame=new TH1I("hFrame", "", 100, -.3, .3); | |
1479 | hFrame->SetMinimum(-.1);hFrame->SetMaximum(.1); | |
1480 | hFrame->SetXTitle("tg#phi-htg#theta"); | |
1481 | hFrame->SetYTitle("#Delta y[cm]"); | |
1482 | hFrame->GetYaxis()->SetTitleOffset(1.5); | |
1483 | hFrame->SetLineColor(1);hFrame->SetLineWidth(1); | |
1484 | hFrame->Draw(); | |
1485 | } else hFrame->Reset(); | |
1486 | gm->Draw("pl"); line.Draw("same"); | |
1487 | fCanvas->Modified(); fCanvas->Update(); | |
5935a6da | 1488 | if(IsSaveAs()) fCanvas->SaveAs(Form("Figures/ProcessMean_Z[%5.3f]_TB[%02d].gif", fZ, ix)); |
1ee39b3a | 1489 | else gSystem->Sleep(100); |
1490 | } | |
1491 | } | |
1492 | } |