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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" | |
171 | #include "info/AliTRDclusterInfo.h" | |
172 | #include "AliTRDgeometry.h" | |
173 | #include "AliTRDcluster.h" | |
5935a6da | 174 | #include "AliTRDseedV1.h" |
1ee39b3a | 175 | #include "AliTRDcalibDB.h" |
176 | #include "AliTRDCommonParam.h" | |
177 | #include "Cal/AliTRDCalROC.h" | |
178 | #include "Cal/AliTRDCalDet.h" | |
179 | ||
180 | #include "AliLog.h" | |
181 | #include "AliTracker.h" | |
182 | #include "AliCDBManager.h" | |
183 | ||
184 | #include "TROOT.h" | |
185 | #include "TObjArray.h" | |
186 | #include "TAxis.h" | |
187 | #include "TF1.h" | |
188 | #include "TLegend.h" | |
189 | #include "TGraphErrors.h" | |
190 | #include "TLine.h" | |
191 | #include "TH2I.h" | |
192 | #include "TH3S.h" | |
193 | #include "TTree.h" | |
194 | #include "TMath.h" | |
195 | #include "TLinearFitter.h" | |
196 | ||
197 | #include "TCanvas.h" | |
198 | #include "TSystem.h" | |
199 | ||
200 | ClassImp(AliTRDclusterResolution) | |
201 | ||
202 | const Float_t AliTRDclusterResolution::fgkTimeBinLength = 1./ AliTRDCommonParam::Instance()->GetSamplingFrequency(); | |
203 | //_______________________________________________________ | |
f8f46e4d | 204 | AliTRDclusterResolution::AliTRDclusterResolution() |
205 | : AliTRDrecoTask() | |
705f8b0a | 206 | ,fCanvas(NULL) |
207 | ,fInfo(NULL) | |
208 | ,fResults(NULL) | |
f8f46e4d | 209 | ,fStatus(0) |
210 | ,fDet(-1) | |
211 | ,fExB(0.) | |
212 | ,fVdrift(0.) | |
5935a6da | 213 | ,fT0(0.) |
f8f46e4d | 214 | ,fLy(0) |
5935a6da | 215 | ,fT(0.) |
f8f46e4d | 216 | ,fX(0.) |
217 | ,fY(0.) | |
218 | ,fZ(0.) | |
219 | { | |
220 | // Constructor | |
705f8b0a | 221 | SetNameTitle("ClErrCalib", "Cluster Error Parameterization"); |
f8f46e4d | 222 | } |
223 | ||
705f8b0a | 224 | //_______________________________________________________ |
225 | AliTRDclusterResolution::AliTRDclusterResolution(const char *name) | |
226 | : AliTRDrecoTask(name, "Cluster Error Parameterization") | |
4226db3e | 227 | ,fCanvas(NULL) |
228 | ,fInfo(NULL) | |
229 | ,fResults(NULL) | |
1ee39b3a | 230 | ,fStatus(0) |
231 | ,fDet(-1) | |
232 | ,fExB(0.) | |
233 | ,fVdrift(0.) | |
5935a6da | 234 | ,fT0(0.) |
1ee39b3a | 235 | ,fLy(0) |
5935a6da | 236 | ,fT(0.) |
1ee39b3a | 237 | ,fX(0.) |
238 | ,fY(0.) | |
239 | ,fZ(0.) | |
240 | { | |
241 | // Constructor | |
242 | ||
243 | memset(fR, 0, 4*sizeof(Float_t)); | |
244 | memset(fP, 0, 4*sizeof(Float_t)); | |
1ee39b3a | 245 | |
246 | // By default register all analysis | |
247 | // The user can switch them off in his steering macro | |
248 | SetProcess(kQRes); | |
249 | SetProcess(kCenter); | |
250 | SetProcess(kMean); | |
251 | SetProcess(kSigm); | |
252 | } | |
253 | ||
254 | //_______________________________________________________ | |
255 | AliTRDclusterResolution::~AliTRDclusterResolution() | |
256 | { | |
257 | // Destructor | |
258 | ||
259 | if(fCanvas) delete fCanvas; | |
1ee39b3a | 260 | if(fResults){ |
261 | fResults->Delete(); | |
262 | delete fResults; | |
263 | } | |
264 | } | |
265 | ||
1ee39b3a | 266 | //_______________________________________________________ |
f8f46e4d | 267 | void AliTRDclusterResolution::UserCreateOutputObjects() |
1ee39b3a | 268 | { |
1ee39b3a | 269 | fContainer = Histos(); |
270 | } | |
271 | ||
272 | //_______________________________________________________ | |
273 | Bool_t AliTRDclusterResolution::GetRefFigure(Int_t ifig) | |
274 | { | |
275 | // Steering function to retrieve performance plots | |
276 | ||
277 | if(!fResults) return kFALSE; | |
4226db3e | 278 | TLegend *leg = NULL; |
279 | TList *l = NULL; | |
280 | TObjArray *arr = NULL; | |
281 | TTree *t = NULL; | |
282 | TH2 *h2 = NULL;TH1 *h1 = NULL; | |
283 | TGraphErrors *gm(NULL), *gs(NULL), *gp(NULL); | |
1ee39b3a | 284 | switch(ifig){ |
285 | case kQRes: | |
286 | if(!(arr = (TObjArray*)fResults->At(kQRes))) break; | |
287 | if(!(gm = (TGraphErrors*)arr->At(0))) break; | |
288 | if(!(gs = (TGraphErrors*)arr->At(1))) break; | |
289 | if(!(gp = (TGraphErrors*)arr->At(2))) break; | |
5935a6da | 290 | leg= new TLegend(.7, .7, .9, .95); |
291 | leg->SetBorderSize(0); leg->SetFillColor(0); leg->SetFillStyle(0); | |
292 | gs->Draw("apl"); leg->AddEntry(gs, "Sigma / Resolution", "pl"); | |
1ee39b3a | 293 | gs->GetHistogram()->GetYaxis()->SetRangeUser(-50., 700.); |
294 | gs->GetHistogram()->SetXTitle("Q [a.u.]"); | |
5935a6da | 295 | gs->GetHistogram()->SetYTitle("y - x tg(#alpha_{L}) [#mum]"); |
296 | gm->Draw("pl");leg->AddEntry(gm, "Mean / Systematics", "pl"); | |
297 | gp->Draw("pl");leg->AddEntry(gp, "Abundance / Probability", "pl"); | |
298 | leg->Draw(); | |
1ee39b3a | 299 | return kTRUE; |
300 | case kCenter: | |
301 | if(!(arr = (TObjArray*)fResults->At(kCenter))) break; | |
302 | gPad->Divide(2, 1); l = gPad->GetListOfPrimitives(); | |
303 | ((TVirtualPad*)l->At(0))->cd(); | |
5935a6da | 304 | ((TTree*)arr->At(0))->Draw(Form("y:t>>h(%d, -0.5, %f, 51, -.51, .51)",AliTRDseedV1::kNtb, AliTRDseedV1::kNtb-0.5), |
1ee39b3a | 305 | "m[0]*(ly==0&&abs(m[0])<1.e-1)", "colz"); |
306 | ((TVirtualPad*)l->At(1))->cd(); | |
307 | leg= new TLegend(.7, .7, .9, .95); | |
308 | leg->SetBorderSize(0); leg->SetFillColor(0); leg->SetFillStyle(0); | |
309 | leg->SetHeader("TRD Plane"); | |
310 | for(Int_t il = 1; il<=AliTRDgeometry::kNlayer; il++){ | |
311 | if(!(gm = (TGraphErrors*)arr->At(il))) return kFALSE; | |
312 | gm->Draw(il>1?"pc":"apc"); leg->AddEntry(gm, Form("%d", il-1), "pl"); | |
313 | if(il>1) continue; | |
5935a6da | 314 | gm->GetHistogram()->SetXTitle("t_{drift} [tb]"); |
1ee39b3a | 315 | gm->GetHistogram()->SetYTitle("#sigma_{y}(x|cen=0) [#mum]"); |
316 | gm->GetHistogram()->GetYaxis()->SetRangeUser(150., 500.); | |
317 | } | |
318 | leg->Draw(); | |
319 | return kTRUE; | |
320 | case kSigm: | |
321 | if(!(t = (TTree*)fResults->At(kSigm))) break; | |
322 | t->Draw("z:t>>h2x(23, 0.1, 2.4, 25, 0., 2.5)","sx*(1)", "lego2fb"); | |
323 | h2 = (TH2F*)gROOT->FindObject("h2x"); | |
324 | printf(" const Double_t sx[24][25]={\n"); | |
325 | for(Int_t ix=1; ix<=h2->GetNbinsX(); ix++){ | |
326 | printf(" {"); | |
327 | for(Int_t iy=1; iy<h2->GetNbinsY(); iy++){ | |
328 | printf("%6.4f ", h2->GetBinContent(ix, iy)); | |
329 | } | |
330 | printf("%6.4f},\n", h2->GetBinContent(ix, h2->GetNbinsY())); | |
331 | } | |
332 | printf(" };\n"); | |
333 | gPad->Divide(2, 1, 1.e-5, 1.e-5); l = gPad->GetListOfPrimitives(); | |
334 | ((TVirtualPad*)l->At(0))->cd(); | |
335 | h1 = h2->ProjectionX("hsx_pxx"); h1->Scale(1.e4/kND); h1->SetMarkerStyle(24); | |
336 | h1->SetYTitle("<#sigma_{x}> [#mum]"); | |
337 | h1->SetXTitle("t_{drift} [#mus]"); | |
5935a6da | 338 | h1->GetXaxis()->SetRange(2, AliTRDseedV1::kNtb-1); h1->Draw("pc"); |
1ee39b3a | 339 | |
340 | t->Draw("z:t>>h2y(23, 0.1, 2.4, 25, 0., 2.5)","sy*(1)", "lego2fb"); | |
341 | h2 = (TH2F*)gROOT->FindObject("h2y"); | |
342 | printf(" const Double_t sy[24][25]={\n"); | |
343 | for(Int_t ix=1; ix<=h2->GetNbinsX(); ix++){ | |
344 | printf(" {"); | |
345 | for(Int_t iy=1; iy<h2->GetNbinsY(); iy++){ | |
346 | printf("%6.4f ", h2->GetBinContent(ix, iy)); | |
347 | } | |
348 | printf("%6.4f},\n", h2->GetBinContent(ix, h2->GetNbinsY())); | |
349 | } | |
350 | printf(" };\n"); | |
351 | ((TVirtualPad*)l->At(1))->cd(); | |
352 | h1 = h2->ProjectionX("hsy_pxx"); h1->Scale(1.e4/kND); h1->SetMarkerStyle(24); | |
353 | h1->SetYTitle("<#sigma_{y}> [#mum]"); | |
354 | h1->SetXTitle("t_{drift} [#mus]"); | |
5935a6da | 355 | h1->GetXaxis()->SetRange(2, AliTRDseedV1::kNtb-1); h1->Draw("pc"); |
1ee39b3a | 356 | return kTRUE; |
357 | case kMean: | |
358 | if(!(t = (TTree*)fResults->At(kMean))) break; | |
2ba7720d | 359 | if(!t->Draw(Form("z:t>>h2x(%d, -0.5, %3.1f, %d, 0., 2.5)", |
5935a6da | 360 | AliTRDseedV1::kNtb, AliTRDseedV1::kNtb-0.5, kND), |
2ba7720d | 361 | "dx*(1)", "goff")) break; |
1ee39b3a | 362 | h2 = (TH2F*)gROOT->FindObject("h2x"); |
5935a6da | 363 | printf(" const Double_t dx[%d][%d]={\n", AliTRDseedV1::kNtb, kND); |
1ee39b3a | 364 | for(Int_t ix=1; ix<=h2->GetNbinsX(); ix++){ |
365 | printf(" {"); | |
366 | for(Int_t iy=1; iy<h2->GetNbinsY(); iy++){ | |
5935a6da | 367 | printf("%+6.4e, ", h2->GetBinContent(ix, iy)); |
1ee39b3a | 368 | } |
5935a6da | 369 | printf("%+6.4e},\n", h2->GetBinContent(ix, h2->GetNbinsY())); |
1ee39b3a | 370 | } |
371 | printf(" };\n"); | |
5935a6da | 372 | gPad->Divide(2, 2, 1.e-5, 1.e-5); l = gPad->GetListOfPrimitives(); |
1ee39b3a | 373 | ((TVirtualPad*)l->At(0))->cd(); |
5935a6da | 374 | h2->Draw("lego2fb"); |
375 | ((TVirtualPad*)l->At(2))->cd(); | |
1ee39b3a | 376 | h1 = h2->ProjectionX("hdx_pxx"); h1->Scale(1.e4/kND); h1->SetMarkerStyle(24); |
5935a6da | 377 | h1->SetYTitle("<#deltax> [#mum]"); |
1ee39b3a | 378 | h1->SetXTitle("t_{drift} [#mus]"); |
5935a6da | 379 | //h1->GetXaxis()->SetRange(2, AliTRDseedV1::kNtb-1); |
380 | h1->Draw("pc"); | |
1ee39b3a | 381 | |
2ba7720d | 382 | if(!t->Draw(Form("z:t>>h2y(%d, -0.5, %3.1f, %d, 0., 2.5)", |
5935a6da | 383 | AliTRDseedV1::kNtb, AliTRDseedV1::kNtb-0.5, kND), |
2ba7720d | 384 | "dy*(1)", "goff")) break; |
1ee39b3a | 385 | h2 = (TH2F*)gROOT->FindObject("h2y"); |
5935a6da | 386 | printf(" const Double_t dy[%d][%d]={\n", AliTRDseedV1::kNtb, kND); |
1ee39b3a | 387 | for(Int_t ix=1; ix<=h2->GetNbinsX(); ix++){ |
388 | printf(" {"); | |
389 | for(Int_t iy=1; iy<h2->GetNbinsY(); iy++){ | |
5935a6da | 390 | printf("%+6.4e ", h2->GetBinContent(ix, iy)); |
1ee39b3a | 391 | } |
5935a6da | 392 | printf("%+6.4e},\n", h2->GetBinContent(ix, h2->GetNbinsY())); |
1ee39b3a | 393 | } |
394 | printf(" };\n"); | |
395 | ((TVirtualPad*)l->At(1))->cd(); | |
5935a6da | 396 | h2->Draw("lego2fb"); |
397 | ((TVirtualPad*)l->At(3))->cd(); | |
1ee39b3a | 398 | h1 = h2->ProjectionX("hdy_pxx"); h1->Scale(1.e4/kND); h1->SetMarkerStyle(24); |
5935a6da | 399 | h1->SetYTitle("<#deltay> [#mum]"); |
1ee39b3a | 400 | h1->SetXTitle("t_{drift} [#mus]"); |
5935a6da | 401 | //h1->GetXaxis()->SetRange(2, AliTRDseedV1::kNtb-1); |
402 | h1->Draw("pc"); | |
1ee39b3a | 403 | |
404 | return kTRUE; | |
405 | default: | |
406 | break; | |
407 | } | |
408 | AliWarning("No container/data found."); | |
409 | return kFALSE; | |
410 | } | |
411 | ||
412 | //_______________________________________________________ | |
413 | TObjArray* AliTRDclusterResolution::Histos() | |
414 | { | |
415 | // Retrieve histograms array if already build or build it | |
416 | ||
417 | if(fContainer) return fContainer; | |
418 | fContainer = new TObjArray(kNtasks); | |
419 | //fContainer->SetOwner(kTRUE); | |
420 | ||
4226db3e | 421 | TH3S *h3 = NULL; |
422 | TObjArray *arr = NULL; | |
1ee39b3a | 423 | |
424 | fContainer->AddAt(arr = new TObjArray(2*AliTRDgeometry::kNlayer), kCenter); | |
425 | arr->SetName("Center"); | |
426 | for(Int_t il=0; il<AliTRDgeometry::kNlayer; il++){ | |
427 | // add resolution plot for each layer | |
428 | if(!(h3=(TH3S*)gROOT->FindObject(Form("hCenResLy%d", il)))){ | |
429 | h3 = new TH3S( | |
430 | Form("hCenResLy%d", il), | |
5935a6da | 431 | Form(" ly [%d];t [bin];y [pw];#Delta y[cm]", il), |
432 | AliTRDseedV1::kNtb, -.5, AliTRDseedV1::kNtb-0.5, // x | |
1ee39b3a | 433 | 51, -.51, .51, // y |
434 | 60, -.3, .3); // dy | |
1ee39b3a | 435 | } h3->Reset(); |
436 | arr->AddAt(h3, il); | |
437 | // add Pull plot for each layer | |
438 | if(!(h3=(TH3S*)gROOT->FindObject(Form("hCenPullLy%d", il)))){ | |
439 | h3 = new TH3S( | |
440 | Form("hCenPullLy%d", il), | |
5935a6da | 441 | Form(" ly [%d];t [bin];y [pw];#Delta y[cm]/#sigma_{y}", il), |
442 | AliTRDseedV1::kNtb, -0.5, AliTRDseedV1::kNtb-0.5, // x | |
1ee39b3a | 443 | 51, -.51, .51, // y |
444 | 60, -4., 4.); // dy | |
1ee39b3a | 445 | } h3->Reset(); |
446 | arr->AddAt(h3, AliTRDgeometry::kNlayer+il); | |
447 | } | |
448 | ||
449 | if(!(h3 = (TH3S*)gROOT->FindObject("Charge"))){ | |
450 | h3 = new TH3S("Charge", "dy=f(q)", 50, 2.2, 7.5, 60, -.3, .3, 60, -4., 4.); | |
451 | h3->SetXTitle("log(q) [a.u.]"); | |
452 | h3->SetYTitle("#Delta y[cm]"); | |
453 | h3->SetZTitle("#Delta y/#sigma_{y}"); | |
454 | } | |
455 | fContainer->AddAt(h3, kQRes); | |
456 | ||
5935a6da | 457 | fContainer->AddAt(arr = new TObjArray(AliTRDseedV1::kNtb), kSigm); |
1ee39b3a | 458 | arr->SetName("Resolution"); |
5935a6da | 459 | for(Int_t ix=0; ix<AliTRDseedV1::kNtb; ix++){ |
1ee39b3a | 460 | if(!(h3=(TH3S*)gROOT->FindObject(Form("hr_x%02d", ix)))){ |
461 | h3 = new TH3S( | |
462 | Form("hr_x%02d", ix), | |
5935a6da | 463 | Form(" t_{drift}(%2d)[bin];z [mm];tg#phi;#Delta y[cm]", ix), |
1ee39b3a | 464 | kND, 0., 2.5, // z |
465 | 35, -.35, .35, // tgp | |
466 | 60, -.3, .3); // dy | |
1ee39b3a | 467 | } |
468 | arr->AddAt(h3, ix); | |
469 | } | |
470 | ||
5935a6da | 471 | fContainer->AddAt(arr = new TObjArray(AliTRDseedV1::kNtb), kMean); |
1ee39b3a | 472 | arr->SetName("Systematics"); |
5935a6da | 473 | for(Int_t ix=0; ix<AliTRDseedV1::kNtb; ix++){ |
1ee39b3a | 474 | if(!(h3=(TH3S*)gROOT->FindObject(Form("hs_x%02d", ix)))){ |
475 | h3 = new TH3S( | |
476 | Form("hs_x%02d", ix), | |
5935a6da | 477 | Form(" t_{drift}(%2d)[bin];z [mm];tg#phi - h*tg(#theta);#Delta y[cm]", ix), |
1ee39b3a | 478 | kND, 0., 2.5, // z |
479 | 35, -.35, .35, // tgp-h tgt | |
480 | 60, -.3, .3); // dy | |
1ee39b3a | 481 | } |
482 | arr->AddAt(h3, ix); | |
483 | } | |
484 | ||
485 | return fContainer; | |
486 | } | |
487 | ||
488 | //_______________________________________________________ | |
f8f46e4d | 489 | void AliTRDclusterResolution::UserExec(Option_t *) |
1ee39b3a | 490 | { |
491 | // Fill container histograms | |
492 | ||
5935a6da | 493 | fInfo = dynamic_cast<TObjArray *>(GetInputData(1)); |
1ee39b3a | 494 | if(!HasExB()) AliWarning("ExB was not set. Call SetExB() before running the task."); |
495 | ||
496 | Int_t det, t; | |
497 | Float_t x, y, z, q, dy, dydx, dzdx, cov[3], covcl[3]; | |
4226db3e | 498 | TH3S *h3 = NULL; |
1ee39b3a | 499 | |
500 | // define limits around ExB for which x contribution is negligible | |
501 | const Float_t kDtgPhi = 3.5e-2; //(+- 2 deg) | |
502 | ||
503 | TObjArray *arr0 = (TObjArray*)fContainer->At(kCenter); | |
504 | TObjArray *arr1 = (TObjArray*)fContainer->At(kSigm); | |
505 | TObjArray *arr2 = (TObjArray*)fContainer->At(kMean); | |
506 | ||
4226db3e | 507 | const AliTRDclusterInfo *cli = NULL; |
1ee39b3a | 508 | TIterator *iter=fInfo->MakeIterator(); |
509 | while((cli=dynamic_cast<AliTRDclusterInfo*>((*iter)()))){ | |
510 | cli->GetCluster(det, x, y, z, q, t, covcl); | |
5935a6da | 511 | dy = cli->GetResolution(); |
512 | AliDebug(4, Form("det[%d] tb[%2d] q[%4.0f Log[%6.4f]] dy[%7.2f][um] ypull[%5.2f]", det, t, q, TMath::Log(q), 1.e4*dy, dy/TMath::Sqrt(covcl[0]))); | |
513 | ||
1ee39b3a | 514 | if(fDet>=0 && fDet!=det) continue; |
515 | ||
1ee39b3a | 516 | cli->GetGlobalPosition(y, z, dydx, dzdx, &cov[0]); |
517 | ||
518 | // resolution as a function of cluster charge | |
519 | // only for phi equal exB | |
520 | if(TMath::Abs(dydx-fExB) < kDtgPhi){ | |
521 | h3 = (TH3S*)fContainer->At(kQRes); | |
522 | h3->Fill(TMath::Log(q), dy, dy/TMath::Sqrt(covcl[0])); | |
1ee39b3a | 523 | } |
524 | ||
525 | // do not use problematic clusters in resolution analysis | |
526 | // TODO define limits as calibration aware (gain) !! | |
527 | if(q<20. || q>250.) continue; | |
528 | ||
5935a6da | 529 | //x = (t+.5)*fgkTimeBinLength; // conservative approach !! |
1ee39b3a | 530 | |
531 | // resolution as a function of y displacement from pad center | |
532 | // only for phi equal exB | |
5935a6da | 533 | if(TMath::Abs(dydx-fExB) < kDtgPhi){ |
1ee39b3a | 534 | Int_t ly(AliTRDgeometry::GetLayer(det)); |
535 | h3 = (TH3S*)arr0->At(ly); | |
5935a6da | 536 | h3->Fill(t, cli->GetYDisplacement(), dy); |
1ee39b3a | 537 | h3 = (TH3S*)arr0->At(AliTRDgeometry::kNlayer+ly); |
5935a6da | 538 | h3->Fill(t, cli->GetYDisplacement(), dy/TMath::Sqrt(covcl[0])); |
1ee39b3a | 539 | } |
540 | ||
5935a6da | 541 | Int_t it(((TH3S*)arr0->At(0))->GetXaxis()->FindBin(t)); |
1ee39b3a | 542 | |
543 | // fill histo for resolution (sigma) | |
5935a6da | 544 | ((TH3S*)arr1->At(it-1))->Fill(10.*cli->GetAnisochronity(), dydx, dy); |
1ee39b3a | 545 | |
546 | // fill histo for systematic (mean) | |
5935a6da | 547 | ((TH3S*)arr2->At(it-1))->Fill(10.*cli->GetAnisochronity(), dydx-cli->GetTilt()*dzdx, dy); |
1ee39b3a | 548 | } |
f8f46e4d | 549 | PostData(1, fContainer); |
1ee39b3a | 550 | } |
551 | ||
552 | ||
553 | //_______________________________________________________ | |
554 | Bool_t AliTRDclusterResolution::PostProcess() | |
555 | { | |
556 | if(!fContainer) return kFALSE; | |
557 | if(!HasExB()) AliWarning("ExB was not set. Call SetExB() before running the post processing."); | |
558 | ||
4226db3e | 559 | TObjArray *arr = NULL; |
560 | TTree *t=NULL; | |
1ee39b3a | 561 | if(!fResults){ |
4226db3e | 562 | TGraphErrors *g = NULL; |
1ee39b3a | 563 | fResults = new TObjArray(kNtasks); |
564 | fResults->SetOwner(); | |
565 | fResults->AddAt(arr = new TObjArray(3), kQRes); | |
566 | arr->SetOwner(); | |
567 | arr->AddAt(g = new TGraphErrors(), 0); | |
568 | g->SetLineColor(kBlue); g->SetMarkerColor(kBlue); | |
569 | g->SetMarkerStyle(7); | |
570 | arr->AddAt(g = new TGraphErrors(), 1); | |
571 | g->SetLineColor(kRed); g->SetMarkerColor(kRed); | |
572 | g->SetMarkerStyle(23); | |
573 | arr->AddAt(g = new TGraphErrors(), 2); | |
574 | g->SetLineColor(kGreen); g->SetMarkerColor(kGreen); | |
575 | g->SetMarkerStyle(7); | |
576 | ||
577 | // pad center dependence | |
578 | fResults->AddAt(arr = new TObjArray(AliTRDgeometry::kNlayer+1), kCenter); | |
579 | arr->SetOwner(); | |
580 | arr->AddAt( | |
581 | t = new TTree("cent", "dy=f(y,x,ly)"), 0); | |
582 | t->Branch("ly", &fLy, "ly/B"); | |
5935a6da | 583 | t->Branch("t", &fT, "t/F"); |
1ee39b3a | 584 | t->Branch("y", &fY, "y/F"); |
585 | t->Branch("m", &fR[0], "m[2]/F"); | |
586 | t->Branch("s", &fR[2], "s[2]/F"); | |
587 | t->Branch("pm", &fP[0], "pm[2]/F"); | |
588 | t->Branch("ps", &fP[2], "ps[2]/F"); | |
589 | for(Int_t il=1; il<=AliTRDgeometry::kNlayer; il++){ | |
590 | arr->AddAt(g = new TGraphErrors(), il); | |
591 | g->SetLineColor(il); g->SetLineStyle(il); | |
592 | g->SetMarkerColor(il);g->SetMarkerStyle(4); | |
593 | } | |
594 | ||
595 | ||
596 | fResults->AddAt(t = new TTree("sigm", "dy=f(dw,x,dydx)"), kSigm); | |
5935a6da | 597 | t->Branch("t", &fT, "t/F"); |
598 | t->Branch("x", &fX, "x/F"); | |
1ee39b3a | 599 | t->Branch("z", &fZ, "z/F"); |
600 | t->Branch("sx", &fR[0], "sx[2]/F"); | |
601 | t->Branch("sy", &fR[2], "sy[2]/F"); | |
602 | ||
603 | ||
604 | fResults->AddAt(t = new TTree("mean", "dy=f(dw,x,dydx - h dzdx)"), kMean); | |
5935a6da | 605 | t->Branch("t", &fT, "t/F"); |
606 | t->Branch("x", &fX, "x/F"); | |
1ee39b3a | 607 | t->Branch("z", &fZ, "z/F"); |
608 | t->Branch("dx", &fR[0], "dx[2]/F"); | |
609 | t->Branch("dy", &fR[2], "dy[2]/F"); | |
610 | } else { | |
4226db3e | 611 | TObject *o = NULL; |
1ee39b3a | 612 | TIterator *iter=fResults->MakeIterator(); |
613 | while((o=((*iter)()))) o->Clear(); // maybe it is wrong but we should never reach this point | |
614 | } | |
615 | ||
1ee39b3a | 616 | // process resolution dependency on charge |
617 | if(HasProcess(kQRes)) ProcessCharge(); | |
618 | ||
619 | // process resolution dependency on y displacement | |
620 | if(HasProcess(kCenter)) ProcessCenterPad(); | |
621 | ||
622 | // process resolution dependency on drift legth and drift cell width | |
623 | if(HasProcess(kSigm)) ProcessSigma(); | |
624 | ||
625 | // process systematic shift on drift legth and drift cell width | |
626 | if(HasProcess(kMean)) ProcessMean(); | |
627 | ||
628 | return kTRUE; | |
629 | } | |
630 | ||
631 | //_______________________________________________________ | |
632 | Bool_t AliTRDclusterResolution::SetExB(Int_t det, Int_t col, Int_t row) | |
633 | { | |
634 | // check OCDB | |
635 | AliCDBManager *cdb = AliCDBManager::Instance(); | |
636 | if(cdb->GetRun() < 0){ | |
637 | AliError("OCDB manager not properly initialized"); | |
638 | return kFALSE; | |
639 | } | |
640 | ||
641 | // check magnetic field | |
642 | if(TMath::Abs(AliTracker::GetBz()) < 1.e-10){ | |
643 | AliWarning("B=0. Magnetic field may not be initialized. Continue if you know what you are doing !"); | |
644 | } | |
645 | ||
646 | // set reference detector if any | |
5935a6da | 647 | fDet = -1; |
1ee39b3a | 648 | if(det>=0 && det<AliTRDgeometry::kNdet) fDet = det; |
5935a6da | 649 | else det=0; |
1ee39b3a | 650 | |
651 | AliTRDcalibDB *fCalibration = AliTRDcalibDB::Instance(); | |
5935a6da | 652 | AliTRDCalROC *fCalVdriftROC(fCalibration->GetVdriftROC(det)) |
653 | ,*fCalT0ROC(fCalibration->GetT0ROC(det)); | |
1ee39b3a | 654 | const AliTRDCalDet *fCalVdriftDet = fCalibration->GetVdriftDet(); |
5935a6da | 655 | const AliTRDCalDet *fCalT0Det = fCalibration->GetT0Det(); |
1ee39b3a | 656 | |
657 | fVdrift = fCalVdriftDet->GetValue(det) * fCalVdriftROC->GetValue(col, row); | |
5935a6da | 658 | fExB = AliTRDCommonParam::Instance()->GetOmegaTau(fVdrift); |
659 | fT0 = fCalT0Det->GetValue(det) * fCalT0ROC->GetValue(col, row); | |
1ee39b3a | 660 | SetBit(kExB); |
5935a6da | 661 | |
662 | AliDebug(1, Form("Calibrate for Det[%3d] t0[%5.3f] vd[%5.3f] ExB[%f]", fDet, fT0, fVdrift, fExB)); | |
663 | ||
1ee39b3a | 664 | return kTRUE; |
665 | } | |
666 | ||
667 | //_______________________________________________________ | |
668 | void AliTRDclusterResolution::SetVisual() | |
669 | { | |
670 | if(fCanvas) return; | |
671 | fCanvas = new TCanvas("clResCanvas", "Cluster Resolution Visualization", 10, 10, 600, 600); | |
672 | } | |
673 | ||
674 | //_______________________________________________________ | |
675 | void AliTRDclusterResolution::ProcessCharge() | |
676 | { | |
677 | // Resolution as a function of cluster charge. | |
678 | // | |
679 | // As described in the function ProcessCenterPad() the error parameterization for clusters for phi = a_L can be | |
680 | // written as: | |
681 | // BEGIN_LATEX | |
682 | // #sigma_{y}^{2} = #sigma_{y}^{2}|_{B=0} + tg^{2}(#alpha_{L})*#sigma_{x}^{2} | |
683 | // END_LATEX | |
684 | // with the contribution in case of B=0 given by: | |
685 | // BEGIN_LATEX | |
686 | // #sigma_{y}|_{B=0} = #sigma_{diff}*Gauss(0, s_{ly}) + #delta_{#sigma}(q) | |
687 | // END_LATEX | |
688 | // which further can be simplified to: | |
689 | // BEGIN_LATEX | |
690 | // <#sigma_{y}|_{B=0}>(q) = <#sigma_{y}> + #delta_{#sigma}(q) | |
691 | // <#sigma_{y}> = #int{f(q)#sigma_{y}dq} | |
692 | // END_LATEX | |
693 | // The results for s_y and f(q) are displayed below: | |
694 | //Begin_Html | |
695 | //<img src="TRD/clusterQerror.gif"> | |
696 | //End_Html | |
697 | // The function has to extended to accomodate gain calibration scalling and errors. | |
698 | // | |
699 | // Author | |
700 | // Alexandru Bercuci <A.Bercuci@gsi.de> | |
701 | ||
5935a6da | 702 | TH3S *h3(NULL); |
703 | if(!(h3 = (TH3S*)fContainer->At(kQRes))) { | |
1ee39b3a | 704 | AliWarning("Missing dy=f(Q) histo"); |
705 | return; | |
706 | } | |
707 | TF1 f("f", "gaus", -.5, .5); | |
5935a6da | 708 | TAxis *ax(NULL); |
709 | TH1 *h1(NULL); | |
1ee39b3a | 710 | |
711 | // compute mean error on x | |
712 | Double_t s2x = 0.; | |
5935a6da | 713 | for(Int_t ix=5; ix<AliTRDseedV1::kNtb; ix++){ |
1ee39b3a | 714 | // retrieve error on the drift length |
715 | s2x += AliTRDcluster::GetSX(ix); | |
716 | } | |
5935a6da | 717 | s2x /= (AliTRDseedV1::kNtb-5); s2x *= s2x; |
76d976d2 | 718 | //Double_t exb2 = fExB*fExB; |
1ee39b3a | 719 | |
720 | TObjArray *arr = (TObjArray*)fResults->At(kQRes); | |
721 | TGraphErrors *gqm = (TGraphErrors*)arr->At(0); | |
722 | TGraphErrors *gqs = (TGraphErrors*)arr->At(1); | |
723 | TGraphErrors *gqp = (TGraphErrors*)arr->At(2); | |
724 | Double_t q, n = 0., entries; | |
5935a6da | 725 | ax = h3->GetXaxis(); |
1ee39b3a | 726 | for(Int_t ix=1; ix<=ax->GetNbins(); ix++){ |
727 | q = TMath::Exp(ax->GetBinCenter(ix)); | |
5935a6da | 728 | ax->SetRange(ix, ix); |
729 | h1 = h3->Project3D("y"); | |
1ee39b3a | 730 | entries = h1->GetEntries(); |
5935a6da | 731 | if(entries < 150) continue; |
1ee39b3a | 732 | h1->Fit(&f, "Q"); |
733 | ||
734 | // Fill sy^2 = f(q) | |
735 | Int_t ip = gqm->GetN(); | |
736 | gqm->SetPoint(ip, q, 1.e4*f.GetParameter(1)); | |
737 | gqm->SetPointError(ip, 0., 1.e4*f.GetParError(1)); | |
738 | ||
739 | // correct sigma for ExB effect | |
5935a6da | 740 | gqs->SetPoint(ip, q, 1.e4*f.GetParameter(2)/**f.GetParameter(2)-exb2*s2x)*/); |
741 | gqs->SetPointError(ip, 0., 1.e4*f.GetParError(2)/**f.GetParameter(2)*/); | |
1ee39b3a | 742 | |
743 | // save probability | |
744 | n += entries; | |
745 | gqp->SetPoint(ip, q, entries); | |
746 | gqp->SetPointError(ip, 0., 0./*TMath::Sqrt(entries)*/); | |
747 | } | |
748 | ||
749 | // normalize probability and get mean sy | |
750 | Double_t sm = 0., sy; | |
751 | for(Int_t ip=gqp->GetN(); ip--;){ | |
752 | gqp->GetPoint(ip, q, entries); | |
753 | entries/=n; | |
5935a6da | 754 | gqp->SetPoint(ip, q, 1.e4*entries); |
1ee39b3a | 755 | gqs->GetPoint(ip, q, sy); |
756 | sm += entries*sy; | |
757 | } | |
758 | ||
759 | // error parametrization s(q) = <sy> + b(1/q-1/q0) | |
760 | TF1 fq("fq", "[0] + [1]/x", 20., 250.); | |
761 | gqs->Fit(&fq/*, "W"*/); | |
762 | printf("sm=%f [0]=%f [1]=%f\n", 1.e-4*sm, fq.GetParameter(0), fq.GetParameter(1)); | |
763 | printf(" const Float_t sq0inv = %f; // [1/q0]\n", (sm-fq.GetParameter(0))/fq.GetParameter(1)); | |
764 | printf(" const Float_t sqb = %f; // [cm]\n", 1.e-4*fq.GetParameter(1)); | |
765 | } | |
766 | ||
767 | //_______________________________________________________ | |
768 | void AliTRDclusterResolution::ProcessCenterPad() | |
769 | { | |
770 | // Resolution as a function of y displacement from pad center and drift length. | |
771 | // | |
772 | // Since the error parameterization of cluster r-phi position can be written as (see AliTRDcluster::SetSigmaY2()): | |
773 | // BEGIN_LATEX | |
774 | // #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 | |
775 | // END_LATEX | |
776 | // one can see that for phi = a_L one gets the following expression: | |
777 | // BEGIN_LATEX | |
778 | // #sigma_{y}^{2} = #sigma_{y}^{2}|_{B=0} + tg^{2}(#alpha_{L})*#sigma_{x}^{2} | |
779 | // END_LATEX | |
780 | // where we have explicitely marked the remaining term in case of absence of magnetic field. Thus one can use the | |
781 | // previous equation to estimate s_y for B=0 and than by comparing in magnetic field conditions one can get the s_x. | |
782 | // This is a simplified method to determine the error parameterization for s_x and s_y as compared to the one | |
783 | // implemented in ProcessSigma(). For more details on cluster error parameterization please see also | |
784 | // AliTRDcluster::SetSigmaY2() | |
785 | // | |
786 | // The representation of dy=f(y_cen, x_drift| layer) can be also used to estimate the systematic shift in the r-phi | |
787 | // coordinate resulting from imperfection in the cluster shape parameterization. From the expresion of the shift derived | |
788 | // in ProcessMean() with phi=exb one gets: | |
789 | // BEGIN_LATEX | |
790 | // <#Delta y>= <#delta x> * (tg(#alpha_{L})-h*dz/dx) + <#delta y - #delta x * tg(#alpha_{L})> | |
791 | // <#Delta y>(y_{cen})= -h*<#delta x>(x_{drift}, q_{cl}) * dz/dx + #delta y(y_{cen}, ...) | |
792 | // END_LATEX | |
793 | // where all dependences are made explicit. This last expression can be used in two ways: | |
794 | // - by average on the dz/dx we can determine directly dy (the method implemented here) | |
795 | // - by plotting as a function of dzdx one can determine both dx and dy components in an independent method. | |
796 | //Begin_Html | |
797 | //<img src="TRD/clusterYcorr.gif"> | |
798 | //End_Html | |
799 | // Author | |
800 | // Alexandru Bercuci <A.Bercuci@gsi.de> | |
801 | ||
802 | TObjArray *arr = (TObjArray*)fContainer->At(kCenter); | |
803 | if(!arr) { | |
804 | AliWarning("Missing dy=f(y | x, ly) container"); | |
805 | return; | |
806 | } | |
807 | Double_t exb2 = fExB*fExB; | |
808 | Float_t s[AliTRDgeometry::kNlayer]; | |
809 | TF1 f("f", "gaus", -.5, .5); | |
810 | TF1 fp("fp", "gaus", -3.5, 3.5); | |
811 | ||
4226db3e | 812 | TH1D *h1 = NULL; TH2F *h2 = NULL; TH3S *h3r=NULL, *h3p=NULL; |
1ee39b3a | 813 | TObjArray *arrRes = (TObjArray*)fResults->At(kCenter); |
814 | TTree *t = (TTree*)arrRes->At(0); | |
4226db3e | 815 | TGraphErrors *gs = NULL; |
816 | TAxis *ax = NULL; | |
1ee39b3a | 817 | |
5935a6da | 818 | AliDebug(1, Form("Calibrate for Det[%3d] t0[%5.3f] vd[%5.3f]", fDet, fT0, fVdrift)); |
819 | ||
1ee39b3a | 820 | const Int_t nl = AliTRDgeometry::kNlayer; |
5935a6da | 821 | printf(" const Float_t lSy[%d][%d] = {\n {", nl, AliTRDseedV1::kNtb); |
1ee39b3a | 822 | for(Int_t il=0; il<nl; il++){ |
823 | if(!(h3r = (TH3S*)arr->At(il))) continue; | |
824 | if(!(h3p = (TH3S*)arr->At(nl+il))) continue; | |
825 | gs = (TGraphErrors*)arrRes->At(il+1); | |
826 | fLy = il; | |
1ee39b3a | 827 | for(Int_t ix=1; ix<=h3r->GetXaxis()->GetNbins(); ix++){ |
828 | ax = h3r->GetXaxis(); ax->SetRange(ix, ix); | |
829 | ax = h3p->GetXaxis(); ax->SetRange(ix, ix); | |
5935a6da | 830 | fT = ax->GetBinCenter(ix); |
1ee39b3a | 831 | for(Int_t iy=1; iy<=h3r->GetYaxis()->GetNbins(); iy++){ |
832 | ax = h3r->GetYaxis(); ax->SetRange(iy, iy); | |
833 | ax = h3p->GetYaxis(); ax->SetRange(iy, iy); | |
834 | fY = ax->GetBinCenter(iy); | |
1ee39b3a | 835 | // finish navigation in the HnSparse |
836 | ||
837 | h1 = (TH1D*)h3r->Project3D("z"); | |
838 | Int_t entries = (Int_t)h1->Integral(); | |
839 | if(entries < 50) continue; | |
840 | //Adjust(&f, h1); | |
841 | h1->Fit(&f, "QN"); | |
842 | ||
843 | // Fill sy,my=f(y_w,x,ly) | |
844 | fR[0] = f.GetParameter(1); fR[1] = f.GetParError(1); | |
845 | fR[2] = f.GetParameter(2); fR[3] = f.GetParError(2); | |
846 | ||
847 | h1 = (TH1D*)h3p->Project3D("z"); | |
848 | h1->Fit(&fp, "QN"); | |
849 | fP[0] = fp.GetParameter(1); fP[1] = fp.GetParError(1); | |
850 | fP[2] = fp.GetParameter(2); fP[3] = fp.GetParError(2); | |
851 | ||
5935a6da | 852 | AliDebug(4, Form("ly[%d] tb[%2d] y[%+5.2f] m[%5.3f] s[%5.3f] pm[%5.3f] ps[%5.3f]", fLy, fT, fY, fR[0], fR[2], fP[0], fP[2])); |
1ee39b3a | 853 | t->Fill(); |
1ee39b3a | 854 | } |
855 | } | |
5935a6da | 856 | t->Draw(Form("y:t>>h(%d, -0.5, %f, 51, -.51, .51)", AliTRDseedV1::kNtb, AliTRDseedV1::kNtb-0.5), |
1ee39b3a | 857 | Form("s[0]*(ly==%d&&abs(m[0])<1.e-1)", fLy), |
858 | "goff"); | |
859 | h2=(TH2F*)gROOT->FindObject("h"); | |
860 | f.FixParameter(1, 0.); | |
861 | Int_t n = h2->GetXaxis()->GetNbins(), nn(0); s[il]=0.; | |
862 | printf(" {"); | |
863 | for(Int_t ix=1; ix<=n; ix++){ | |
864 | ax = h2->GetXaxis(); | |
5935a6da | 865 | fT = ax->GetBinCenter(ix); |
1ee39b3a | 866 | h1 = h2->ProjectionY("hCenPy", ix, ix); |
867 | //if((Int_t)h1->Integral() < 1.e-10) continue; | |
868 | ||
869 | // Apply lorentz angle correction | |
870 | // retrieve error on the drift length | |
871 | Double_t s2x = AliTRDcluster::GetSX(ix-1); s2x *= s2x; | |
872 | Int_t nnn = 0; | |
873 | for(Int_t iy=1; iy<=h1->GetNbinsX(); iy++){ | |
874 | Double_t s2 = h1->GetBinContent(iy); s2*= s2; | |
875 | // sigma square corrected for Lorentz angle | |
876 | // s2 = s2_y(y_w,x)+exb2*s2_x | |
877 | Double_t sy = TMath::Sqrt(TMath::Max(s2 - exb2*s2x, Double_t(0.))); | |
878 | if(sy<1.e-20) continue; | |
879 | h1->SetBinContent(iy, sy); nnn++; | |
5935a6da | 880 | AliDebug(4, Form("s[%6.2f] sx[%6.2f] sy[%6.2f]\n", |
1ee39b3a | 881 | 1.e4*TMath::Sqrt(s2), 1.e4*TMath::Abs(fExB*AliTRDcluster::GetSX(ix-1)), |
5935a6da | 882 | 1.e4*h1->GetBinContent(iy))); |
1ee39b3a | 883 | } |
884 | // do fit only if enough data | |
885 | Double_t sPRF = 0.; | |
886 | if(nnn>5){ | |
887 | h1->Fit(&f, "QN"); | |
5935a6da | 888 | sPRF = f.GetParameter(2); nn++; |
1ee39b3a | 889 | } |
890 | s[il]+=sPRF; | |
891 | printf("%6.4f,%s", sPRF, ix%6?" ":"\n "); | |
892 | Int_t jx = gs->GetN(); | |
5935a6da | 893 | gs->SetPoint(jx, fT, 1.e4*sPRF); |
1ee39b3a | 894 | gs->SetPointError(jx, 0., 0./*f.GetParError(0)*/); |
895 | } | |
896 | printf("\b},\n"); | |
897 | s[il]/=nn; | |
898 | ||
5935a6da | 899 | f.ReleaseParameter(1); |
1ee39b3a | 900 | |
901 | ||
902 | if(!fCanvas) continue; | |
903 | h2->Draw("lego2fb"); | |
904 | fCanvas->Modified(); fCanvas->Update(); | |
905 | if(IsSaveAs()) fCanvas->SaveAs(Form("Figures/ProcessCenter_ly[%d].gif", fLy)); | |
906 | else gSystem->Sleep(100); | |
907 | } | |
908 | printf(" };\n"); | |
909 | printf(" const Float_t lPRF[] = {" | |
910 | "%5.3f, %5.3f, %5.3f, %5.3f, %5.3f, %5.3f};\n", | |
911 | s[0], s[1], s[2], s[3], s[4], s[5]); | |
912 | } | |
913 | ||
914 | //_______________________________________________________ | |
915 | void AliTRDclusterResolution::ProcessSigma() | |
916 | { | |
917 | // As the r-phi coordinate is the only one which is measured by the TRD detector we have to rely on it to | |
918 | // estimate both the radial (x) and r-phi (y) errors. This method is based on the following assumptions. | |
919 | // The measured error in the y direction is the sum of the intrinsic contribution of the r-phi measurement | |
920 | // with the contribution of the radial measurement - because x is not a parameter of Alice track model (Kalman). | |
921 | // BEGIN_LATEX | |
922 | // #sigma^{2}|_{y} = #sigma^{2}_{y*} + #sigma^{2}_{x*} | |
923 | // END_LATEX | |
924 | // In the general case | |
925 | // BEGIN_LATEX | |
926 | // #sigma^{2}_{y*} = #sigma^{2}_{y} + tg^{2}(#alpha_{L})#sigma^{2}_{x_{drift}} | |
927 | // #sigma^{2}_{x*} = tg^{2}(#phi - #alpha_{L})*(#sigma^{2}_{x_{drift}} + #sigma^{2}_{x_{0}} + tg^{2}(#alpha_{L})*x^{2}/12) | |
928 | // END_LATEX | |
929 | // where we have explicitely show the lorentz angle correction on y and the projection of radial component on the y | |
930 | // direction through the track angle in the bending plane (phi). Also we have shown that the radial component in the | |
931 | // last equation has twp terms, the drift and the misalignment (x_0). For ideal geometry or known misalignment one | |
932 | // can solve the equation | |
933 | // BEGIN_LATEX | |
934 | // #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}] | |
935 | // END_LATEX | |
936 | // by fitting a straight line: | |
937 | // BEGIN_LATEX | |
938 | // #sigma^{2}|_{y} = a(x_{cl}, z_{cl}) * tg^{2}(#phi - #alpha_{L}) + b(x_{cl}, z_{cl}) | |
939 | // END_LATEX | |
940 | // the error parameterization will be given by: | |
941 | // BEGIN_LATEX | |
942 | // #sigma_{x} (x_{cl}, z_{cl}) = #sqrt{a(x_{cl}, z_{cl}) - tg^{2}(#alpha_{L})*x^{2}/12} | |
943 | // #sigma_{y} (x_{cl}, z_{cl}) = #sqrt{b(x_{cl}, z_{cl}) - #sigma^{2}_{x} (x_{cl}, z_{cl}) * tg^{2}(#alpha_{L})} | |
944 | // END_LATEX | |
945 | // Below there is an example of such dependency. | |
946 | //Begin_Html | |
947 | //<img src="TRD/clusterSigmaMethod.gif"> | |
948 | //End_Html | |
949 | // | |
950 | // The error parameterization obtained by this method are implemented in the functions AliTRDcluster::GetSX() and | |
951 | // AliTRDcluster::GetSYdrift(). For an independent method to determine s_y as a function of drift length check the | |
952 | // function ProcessCenterPad(). One has to keep in mind that while this method return the mean s_y over the distance | |
953 | // to pad center distribution the other method returns the *STANDARD* value at center=0 (maximum). To recover the | |
954 | // standard value one has to solve the obvious equation: | |
955 | // BEGIN_LATEX | |
956 | // #sigma_{y}^{STANDARD} = #frac{<#sigma_{y}>}{#int{s exp(s^{2}/#sigma) ds}} | |
957 | // END_LATEX | |
958 | // with "<s_y>" being the value calculated here and "sigma" the width of the s_y distribution calculated in | |
959 | // ProcessCenterPad(). | |
960 | // | |
961 | // Author | |
962 | // Alexandru Bercuci <A.Bercuci@gsi.de> | |
963 | ||
964 | TObjArray *arr = (TObjArray*)fContainer->At(kSigm); | |
965 | if(!arr){ | |
966 | AliWarning("Missing dy=f(x_d, d_w) container"); | |
967 | return; | |
968 | } | |
969 | ||
970 | // init visualization | |
4226db3e | 971 | TGraphErrors *ggs = NULL; |
972 | TGraph *line = NULL; | |
1ee39b3a | 973 | if(fCanvas){ |
974 | ggs = new TGraphErrors(); | |
975 | line = new TGraph(); | |
976 | line->SetLineColor(kRed);line->SetLineWidth(2); | |
977 | } | |
978 | ||
979 | // init logistic support | |
980 | TF1 f("f", "gaus", -.5, .5); | |
981 | TLinearFitter gs(1,"pol1"); | |
4226db3e | 982 | TH1 *hFrame=NULL; |
983 | TH1D *h1 = NULL; TH3S *h3=NULL; | |
984 | TAxis *ax = NULL; | |
5935a6da | 985 | Double_t exb2 = fExB*fExB; |
1ee39b3a | 986 | AliTRDcluster c; |
987 | TTree *t = (TTree*)fResults->At(kSigm); | |
5935a6da | 988 | for(Int_t ix=0; ix<AliTRDseedV1::kNtb; ix++){ |
1ee39b3a | 989 | if(!(h3=(TH3S*)arr->At(ix))) continue; |
990 | c.SetPadTime(ix); | |
5935a6da | 991 | fX = c.GetXloc(fT0, fVdrift); |
992 | fT = c.GetLocalTimeBin(); // ideal | |
993 | printf(" pad time[%d] local[%f]\n", ix, fT); | |
1ee39b3a | 994 | for(Int_t iz=1; iz<=h3->GetXaxis()->GetNbins(); iz++){ |
995 | ax = h3->GetXaxis(); | |
996 | ax->SetRange(iz, iz); | |
997 | fZ = ax->GetBinCenter(iz); | |
998 | ||
999 | // reset visualization | |
1000 | if(fCanvas){ | |
1001 | new(ggs) TGraphErrors(); | |
1002 | ggs->SetMarkerStyle(7); | |
1003 | } | |
1004 | gs.ClearPoints(); | |
1005 | ||
1006 | for(Int_t ip=1; ip<=h3->GetYaxis()->GetNbins(); ip++){ | |
1007 | ax = h3->GetYaxis(); | |
1008 | ax->SetRange(ip, ip); | |
1009 | Double_t tgl = ax->GetBinCenter(ip); | |
1010 | // finish navigation in the HnSparse | |
1011 | ||
1012 | //if(TMath::Abs(dydx)>0.18) continue; | |
1013 | Double_t tgg = (tgl-fExB)/(1.+tgl*fExB); | |
1014 | Double_t tgg2 = tgg*tgg; | |
1015 | ||
1016 | h1 = (TH1D*)h3->Project3D("z"); | |
1017 | Int_t entries = (Int_t)h1->Integral(); | |
1018 | if(entries < 50) continue; | |
1019 | //Adjust(&f, h1); | |
1020 | h1->Fit(&f, "QN"); | |
1021 | ||
1022 | Double_t s2 = f.GetParameter(2)*f.GetParameter(2); | |
1023 | Double_t s2e = 2.*f.GetParameter(2)*f.GetParError(2); | |
1024 | // Fill sy^2 = f(tg^2(phi-a_L)) | |
1025 | gs.AddPoint(&tgg2, s2, s2e); | |
1026 | ||
1027 | if(!ggs) continue; | |
1028 | Int_t jp = ggs->GetN(); | |
1029 | ggs->SetPoint(jp, tgg2, s2); | |
1030 | ggs->SetPointError(jp, 0., s2e); | |
1031 | } | |
1032 | // TODO here a more robust fit method has to be provided | |
1033 | // for which lower boundaries on the parameters have to | |
1034 | // be imposed. Unfortunately the Minuit fit does not work | |
1035 | // for the TGraph in the case of B not 0. | |
1036 | if(gs.Eval()) continue; | |
1037 | ||
5935a6da | 1038 | fR[0] = gs.GetParameter(1) - fX*fX*exb2/12.; |
1039 | AliDebug(3, Form(" s2x+x2=%f ang=%f s2x=%f", gs.GetParameter(1), fX*fX*exb2/12., fR[0])); | |
1ee39b3a | 1040 | fR[0] = TMath::Max(fR[0], Float_t(4.e-4)); |
1041 | ||
1042 | // s^2_y = s0^2_y + tg^2(a_L) * s^2_x | |
1043 | // s0^2_y = f(D_L)*x + s_PRF^2 | |
1044 | fR[2]= gs.GetParameter(0)-exb2*fR[0]; | |
5935a6da | 1045 | AliDebug(3, Form(" s2y+s2x=%f s2y=%f", fR[0], fR[2])); |
1ee39b3a | 1046 | fR[2] = TMath::Max(fR[2], Float_t(2.5e-5)); |
1047 | fR[0] = TMath::Sqrt(fR[0]); | |
1048 | fR[1] = .5*gs.GetParError(1)/fR[0]; | |
1049 | fR[2] = TMath::Sqrt(fR[2]); | |
1050 | fR[3] = gs.GetParError(0)+exb2*exb2*gs.GetParError(1); | |
1051 | t->Fill(); | |
5935a6da | 1052 | 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 | 1053 | |
1054 | if(!fCanvas) continue; | |
1055 | fCanvas->cd(); fCanvas->SetLogx(); //fCanvas->SetLogy(); | |
1056 | if(!hFrame){ | |
1057 | fCanvas->SetMargin(0.15, 0.01, 0.1, 0.01); | |
1058 | hFrame=new TH1I("hFrame", "", 100, 0., .3); | |
1059 | hFrame->SetMinimum(0.);hFrame->SetMaximum(.005); | |
1060 | hFrame->SetXTitle("tg^{2}(#phi-#alpha_{L})"); | |
1061 | hFrame->SetYTitle("#sigma^{2}y[cm^{2}]"); | |
1062 | hFrame->GetYaxis()->SetTitleOffset(2.); | |
1063 | hFrame->SetLineColor(1);hFrame->SetLineWidth(1); | |
1064 | hFrame->Draw(); | |
1065 | } else hFrame->Reset(); | |
1066 | Double_t xx = 0., dxx=.2/50; | |
1067 | for(Int_t ip=0;ip<50;ip++){ | |
1068 | line->SetPoint(ip, xx, gs.GetParameter(0)+xx*gs.GetParameter(1)); | |
1069 | xx+=dxx; | |
1070 | } | |
1071 | ggs->Draw("pl"); line->Draw("l"); | |
1072 | fCanvas->Modified(); fCanvas->Update(); | |
1073 | if(IsSaveAs()) fCanvas->SaveAs(Form("Figures/ProcessSigma_z[%5.3f]_x[%5.3f].gif", fZ, fX)); | |
1074 | else gSystem->Sleep(100); | |
1075 | } | |
1076 | } | |
1077 | return; | |
1078 | } | |
1079 | ||
1080 | //_______________________________________________________ | |
1081 | void AliTRDclusterResolution::ProcessMean() | |
1082 | { | |
1083 | // By this method the cluster shift in r-phi and radial directions can be estimated by comparing with the MC. | |
1084 | // The resolution of the cluster corrected for pad tilt with respect to MC in the r-phi (measuring) plane can be | |
1085 | // expressed by: | |
1086 | // BEGIN_LATEX | |
1087 | // #Delta y=w - y_{MC}(x_{cl}) | |
1088 | // w = y_{cl}^{'} + h*(z_{MC}(x_{cl})-z_{cl}) | |
1089 | // y_{MC}(x_{cl}) = y_{0} - dy/dx*x_{cl} | |
1090 | // z_{MC}(x_{cl}) = z_{0} - dz/dx*x_{cl} | |
1091 | // y_{cl}^{'} = y_{cl}-x_{cl}*tg(#alpha_{L}) | |
1092 | // END_LATEX | |
1093 | // where x_cl is the drift length attached to a cluster, y_cl is the r-phi coordinate of the cluster measured by | |
1094 | // charge sharing on adjacent pads and y_0 and z_0 are MC reference points (as example the track references at | |
1095 | // entrance/exit of a chamber). If we suppose that both r-phi (y) and radial (x) coordinate of the clusters are | |
1096 | // affected by errors we can write | |
1097 | // BEGIN_LATEX | |
1098 | // x_{cl} = x_{cl}^{*} + #delta x | |
1099 | // y_{cl} = y_{cl}^{*} + #delta y | |
1100 | // END_LATEX | |
1101 | // where the starred components are the corrected values. Thus by definition the following quantity | |
1102 | // BEGIN_LATEX | |
1103 | // #Delta y^{*}= w^{*} - y_{MC}(x_{cl}^{*}) | |
1104 | // END_LATEX | |
1105 | // has 0 average over all dependency. Using this decomposition we can write: | |
1106 | // BEGIN_LATEX | |
1107 | // <#Delta y>=<#Delta y^{*}> + <#delta x * (dy/dx-h*dz/dx) + #delta y - #delta x * tg(#alpha_{L})> | |
1108 | // END_LATEX | |
1109 | // which can be transformed to the following linear dependence: | |
1110 | // BEGIN_LATEX | |
1111 | // <#Delta y>= <#delta x> * (dy/dx-h*dz/dx) + <#delta y - #delta x * tg(#alpha_{L})> | |
1112 | // END_LATEX | |
1113 | // if expressed as function of dy/dx-h*dz/dx. Furtheremore this expression can be plotted for various clusters | |
1114 | // i.e. we can explicitely introduce the diffusion (x_cl) and drift cell - anisochronity (z_cl) dependences. From | |
1115 | // plotting this dependence and linear fitting it with: | |
1116 | // BEGIN_LATEX | |
1117 | // <#Delta y>= a(x_{cl}, z_{cl}) * (dy/dx-h*dz/dx) + b(x_{cl}, z_{cl}) | |
1118 | // END_LATEX | |
1119 | // the systematic shifts will be given by: | |
1120 | // BEGIN_LATEX | |
1121 | // #delta x (x_{cl}, z_{cl}) = a(x_{cl}, z_{cl}) | |
1122 | // #delta y (x_{cl}, z_{cl}) = b(x_{cl}, z_{cl}) + a(x_{cl}, z_{cl}) * tg(#alpha_{L}) | |
1123 | // END_LATEX | |
1124 | // Below there is an example of such dependency. | |
1125 | //Begin_Html | |
1126 | //<img src="TRD/clusterShiftMethod.gif"> | |
1127 | //End_Html | |
1128 | // | |
1129 | // The occurance of the radial shift is due to the following conditions | |
1130 | // - the approximation of a constant drift velocity over the drift length (larger drift velocities close to | |
1131 | // cathode wire plane) | |
1132 | // - the superposition of charge tails in the amplification region (first clusters appear to be located at the | |
1133 | // anode wire) | |
1134 | // - the superposition of charge tails in the drift region (shift towards anode wire) | |
1135 | // - diffusion effects which convolute with the TRF thus enlarging it | |
1136 | // - approximate knowledge of the TRF (approximate measuring in test beam conditions) | |
1137 | // | |
1138 | // The occurance of the r-phi shift is due to the following conditions | |
1139 | // - approximate model for cluster shape (LUT) | |
1140 | // - rounding-up problems | |
1141 | // | |
1142 | // The numerical results for ideal simulations for the radial and r-phi shifts are displayed below and used | |
1143 | // for the cluster reconstruction (see the functions AliTRDcluster::GetXcorr() and AliTRDcluster::GetYcorr()). | |
1144 | //Begin_Html | |
1145 | //<img src="TRD/clusterShiftX.gif"> | |
1146 | //<img src="TRD/clusterShiftY.gif"> | |
1147 | //End_Html | |
1148 | // More details can be found in the presentation given during the TRD | |
1149 | // software meeting at the end of 2008 and beginning of year 2009, published on indico.cern.ch. | |
1150 | // | |
1151 | // Author | |
1152 | // Alexandru Bercuci <A.Bercuci@gsi.de> | |
1153 | ||
1154 | ||
1155 | ||
1156 | TObjArray *arr = (TObjArray*)fContainer->At(kMean); | |
1157 | if(!arr){ | |
1158 | AliWarning("Missing dy=f(x_d, d_w) container"); | |
1159 | return; | |
1160 | } | |
1161 | ||
1162 | // init logistic support | |
1163 | TF1 f("f", "gaus", -.5, .5); | |
1164 | TF1 line("l", "[0]+[1]*x", -.15, .15); | |
1165 | TGraphErrors *gm = new TGraphErrors(); | |
4226db3e | 1166 | TH1 *hFrame=NULL; |
1167 | TH1D *h1 = NULL; TH3S *h3 =NULL; | |
1168 | TAxis *ax = NULL; | |
5935a6da | 1169 | |
1170 | AliDebug(1, Form("Calibrate for Det[%3d] t0[%5.3f] vd[%5.3f]", fDet, fT0, fVdrift)); | |
1ee39b3a | 1171 | |
1172 | AliTRDcluster c; | |
1173 | TTree *t = (TTree*)fResults->At(kMean); | |
5935a6da | 1174 | for(Int_t ix=0; ix<AliTRDseedV1::kNtb; ix++){ |
1ee39b3a | 1175 | if(!(h3=(TH3S*)arr->At(ix))) continue; |
1176 | c.SetPadTime(ix); | |
5935a6da | 1177 | fX = c.GetXloc(fT0, fVdrift); |
1178 | fT = c.GetLocalTimeBin(); | |
1ee39b3a | 1179 | for(Int_t iz=1; iz<=h3->GetXaxis()->GetNbins(); iz++){ |
1180 | ax = h3->GetXaxis(); | |
1181 | ax->SetRange(iz, iz); | |
1182 | fZ = ax->GetBinCenter(iz); | |
1183 | ||
1184 | // reset fitter | |
1185 | new(gm) TGraphErrors(); | |
1186 | gm->SetMarkerStyle(7); | |
1187 | ||
1188 | for(Int_t ip=1; ip<=h3->GetYaxis()->GetNbins(); ip++){ | |
1189 | ax = h3->GetYaxis(); | |
1190 | ax->SetRange(ip, ip); | |
1191 | Double_t tgl = ax->GetBinCenter(ip); | |
1192 | // finish navigation in the HnSparse | |
1193 | ||
1194 | h1 = (TH1D*)h3->Project3D("z"); | |
1195 | Int_t entries = (Int_t)h1->Integral(); | |
5935a6da | 1196 | if(entries < 150) continue; |
1ee39b3a | 1197 | //Adjust(&f, h1); |
1198 | h1->Fit(&f, "QN"); | |
1199 | ||
1200 | // Fill <Dy> = f(dydx - h*dzdx) | |
1201 | Int_t jp = gm->GetN(); | |
1202 | gm->SetPoint(jp, tgl, f.GetParameter(1)); | |
1203 | gm->SetPointError(jp, 0., f.GetParError(1)); | |
1204 | } | |
5935a6da | 1205 | if(gm->GetN()<10) continue; |
1ee39b3a | 1206 | |
1207 | gm->Fit(&line, "QN"); | |
1208 | fR[0] = line.GetParameter(1); // dx | |
1209 | fR[1] = line.GetParError(1); | |
1210 | fR[2] = line.GetParameter(0) + fExB*fR[0]; // xs = dy - tg(a_L)*dx | |
1211 | t->Fill(); | |
5935a6da | 1212 | 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 | 1213 | if(!fCanvas) continue; |
5935a6da | 1214 | |
1ee39b3a | 1215 | fCanvas->cd(); |
1216 | if(!hFrame){ | |
1217 | fCanvas->SetMargin(0.1, 0.02, 0.1, 0.01); | |
1218 | hFrame=new TH1I("hFrame", "", 100, -.3, .3); | |
1219 | hFrame->SetMinimum(-.1);hFrame->SetMaximum(.1); | |
1220 | hFrame->SetXTitle("tg#phi-htg#theta"); | |
1221 | hFrame->SetYTitle("#Delta y[cm]"); | |
1222 | hFrame->GetYaxis()->SetTitleOffset(1.5); | |
1223 | hFrame->SetLineColor(1);hFrame->SetLineWidth(1); | |
1224 | hFrame->Draw(); | |
1225 | } else hFrame->Reset(); | |
1226 | gm->Draw("pl"); line.Draw("same"); | |
1227 | fCanvas->Modified(); fCanvas->Update(); | |
5935a6da | 1228 | if(IsSaveAs()) fCanvas->SaveAs(Form("Figures/ProcessMean_Z[%5.3f]_TB[%02d].gif", fZ, ix)); |
1ee39b3a | 1229 | else gSystem->Sleep(100); |
1230 | } | |
1231 | } | |
1232 | } |