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caadc8fb | 1 | #include "DetectorK.h"\r |
2 | #include <TMath.h>\r | |
3 | #include <TMatrixD.h>\r | |
4 | #include <TGraph.h>\r | |
5 | #include <TAxis.h>\r | |
6 | #include <TFormula.h>\r | |
7 | #include <TCanvas.h>\r | |
8 | #include <TEllipse.h>\r | |
9 | #include <TText.h>\r | |
10 | #include <TGraphErrors.h>\r | |
11 | \r | |
12 | #include "AliExternalTrackParam.h"\r | |
13 | \r | |
14 | /***********************************************************\r | |
15 | \r | |
16 | Fast Simulation tool for Inner Tracker Systems\r | |
17 | \r | |
18 | original code of using the billoir technique was developed\r | |
19 | for the HFT (STAR), James H. Thomas, jhthomas@lbl.gov\r | |
20 | http://rnc.lbl.gov/~jhthomas\r | |
21 | \r | |
22 | Changes by S. Rossegger -> see header file\r | |
23 | \r | |
24 | ***********************************************************/\r | |
25 | \r | |
26 | \r | |
27 | #define RIDICULOUS 999999 // A ridiculously large resolution (cm) to flag a dead detector\r | |
28 | \r | |
29 | #define Luminosity 1.e27 // Luminosity of the beam (LHC HI == 1.e27, RHIC II == 8.e27 )\r | |
30 | #define SigmaD 6.0 // Size of the interaction diamond (cm) (LHC = 6.0 cm)\r | |
d4945a3b | 31 | #define dNdEtaMinB 1//950//660//950 // Multiplicity per unit Eta (AuAu MinBias = 170, Central = 700)\r |
32 | // #define dNdEtaCent 2300//15000 //1600//2300 // Multiplicity per unit Eta (LHC at 5.5 TeV not known)\r | |
caadc8fb | 33 | \r |
34 | #define CrossSectionMinB 8 // minB Cross section for event under study (PbPb MinBias ~ 8 Barns)\r | |
35 | #define AcceptanceOfTpcAndSi 1 //1//0.60 //0.35 // Assumed geometric acceptance (efficiency) of the TPC and Si detectors\r | |
36 | #define UPCBackgroundMultiplier 1.0 // Increase multiplicity in detector (0.0 to 1.0 * UPCRate ) (eg 1.0)\r | |
37 | #define OtherBackground 0.0 // Increase multiplicity in detector (0.0 to 1.0 * minBias) (eg 0.0)\r | |
38 | #define EfficiencySearchFlag 2 // Define search method:\r | |
39 | // -> ChiSquarePlusConfLevel = 2, ChiSquare = 1, Simple = 0. \r | |
40 | \r | |
41 | #define PionMass 0.139 // Mass of the Pion\r | |
42 | #define KaonMass 0.498 // Mass of the Kaon\r | |
43 | #define D0Mass 1.865 // Mass of the D0\r | |
44 | \r | |
d4945a3b | 45 | //TMatrixD *probKomb; // table for efficiency kombinatorics\r |
caadc8fb | 46 | \r |
47 | \r | |
48 | class CylLayerK : public TNamed {\r | |
49 | public:\r | |
50 | \r | |
51 | CylLayerK(char *name) : TNamed(name,name) {}\r | |
52 | \r | |
53 | Float_t GetRadius() const {return radius;}\r | |
54 | Float_t GetRadL() const {return radL;}\r | |
55 | Float_t GetPhiRes() const {return phiRes;}\r | |
56 | Float_t GetZRes() const {return zRes;}\r | |
57 | Float_t GetLayerEff() const {return eff;}\r | |
58 | \r | |
59 | // void Print() {printf(" r=%3.1lf X0=%1.6lf sigPhi=%1.4lf sigZ=%1.4lf\n",radius,radL,phiRes,zRes); }\r | |
60 | Float_t radius; Float_t radL; Float_t phiRes; Float_t zRes; \r | |
61 | Float_t eff;\r | |
62 | Bool_t isDead;\r | |
63 | \r | |
64 | ClassDef(CylLayerK,1);\r | |
65 | };\r | |
66 | \r | |
67 | \r | |
68 | class ForwardLayer : public TNamed {\r | |
69 | public:\r | |
70 | ForwardLayer(char *name) : TNamed(name,name) {}\r | |
71 | \r | |
72 | Float_t GetZ() const {return zPos;}\r | |
73 | Float_t GetXRes() const {return xRes;}\r | |
74 | Float_t GetYRes() const {return yRes;}\r | |
75 | Float_t GetThickness() const {return thickness;}\r | |
76 | Float_t Getdensity() const {return density;}\r | |
77 | Float_t GetLayerEff() const {return eff;}\r | |
78 | \r | |
79 | // void Print() {printf(" r=%3.1lf X0=%1.6lf sigPhi=%1.4lf sigZ=%1.4lf\n",radius,radL,phiRes,zRes); }\r | |
80 | Float_t zPos; Float_t xRes; Float_t yRes; \r | |
81 | Float_t radL;\r | |
82 | Float_t thickness;\r | |
83 | Float_t density;\r | |
84 | Float_t eff;\r | |
85 | Bool_t isDead;\r | |
86 | \r | |
87 | ClassDef(ForwardLayer,1);\r | |
88 | };\r | |
89 | \r | |
90 | \r | |
91 | ClassImp(DetectorK)\r | |
92 | DetectorK::DetectorK() \r | |
93 | : TNamed("test_detector","detector"),\r | |
94 | fNumberOfLayers(0),\r | |
95 | fNumberOfActiveLayers(0),\r | |
d4945a3b | 96 | fNumberOfActiveITSLayers(0),\r |
caadc8fb | 97 | fBField(0.5),\r |
98 | fLhcUPCscale(1.0), \r | |
99 | fIntegrationTime(0.02), // in ms\r | |
100 | fConfLevel(0.0027), // 0.27 % -> 3 sigma confidence\r | |
101 | fAvgRapidity(0.45), // Avg rapidity, MCS calc is a function of crossing angle\r | |
102 | fParticleMass(0.140), // Standard: pion mass \r | |
d4945a3b | 103 | fMaxRadiusSlowDet(10.),\r |
104 | fAtLeastCorr(-1), // if -1, then correct hit on all ITS layers\r | |
105 | fAtLeastFake(1), // if at least x fakes, track is considered fake ...\r | |
c218d480 | 106 | fMaxSeedRadius(50000),\r |
107 | fptScale(10.),\r | |
d4945a3b | 108 | fdNdEtaCent(2300)\r |
caadc8fb | 109 | {\r |
110 | //\r | |
111 | // default constructor\r | |
112 | //\r | |
113 | // fLayers = new TObjArray();\r | |
114 | \r | |
115 | }\r | |
116 | \r | |
117 | DetectorK::DetectorK(char *name, char *title)\r | |
118 | : TNamed(name,title),\r | |
119 | fNumberOfLayers(0),\r | |
120 | fNumberOfActiveLayers(0),\r | |
d4945a3b | 121 | fNumberOfActiveITSLayers(0),\r |
caadc8fb | 122 | fBField(0.5),\r |
123 | fLhcUPCscale(1.0),\r | |
124 | fIntegrationTime(0.02), // in ms\r | |
125 | fConfLevel(0.0027), // 0.27 % -> 3 sigma confidence\r | |
126 | fAvgRapidity(0.45), // Avg rapidity, MCS calc is a function of crossing angle\r | |
127 | fParticleMass(0.140), // Standard: pion mass\r | |
d4945a3b | 128 | fMaxRadiusSlowDet(10.),\r |
129 | fAtLeastCorr(-1), // if -1, then correct hit on all ITS layers\r | |
130 | fAtLeastFake(1), // if at least x fakes, track is considered fake ...\r | |
c218d480 | 131 | fMaxSeedRadius(50000),\r |
132 | fptScale(10.),\r | |
d4945a3b | 133 | fdNdEtaCent(2300)\r |
caadc8fb | 134 | {\r |
135 | //\r | |
136 | // default constructor, that set the name and title\r | |
137 | //\r | |
138 | // fLayers = new TObjArray();\r | |
139 | }\r | |
140 | DetectorK::~DetectorK() { // \r | |
141 | // virtual destructor\r | |
142 | //\r | |
143 | // delete fLayers;\r | |
144 | }\r | |
145 | \r | |
146 | void DetectorK::AddLayer(char *name, Float_t radius, Float_t radL, Float_t phiRes, Float_t zRes, Float_t eff) {\r | |
147 | //\r | |
148 | // Add additional layer to the list of layers (ordered by radius)\r | |
149 | // \r | |
150 | \r | |
151 | CylLayerK *newLayer = (CylLayerK*) fLayers.FindObject(name);\r | |
152 | \r | |
153 | if (!newLayer) {\r | |
154 | newLayer = new CylLayerK(name);\r | |
155 | newLayer->radius = radius;\r | |
156 | newLayer->radL = radL;\r | |
157 | newLayer->phiRes = phiRes;\r | |
158 | newLayer->zRes = zRes;\r | |
159 | newLayer->eff = eff;\r | |
160 | \r | |
161 | if (newLayer->zRes==RIDICULOUS && newLayer->zRes==RIDICULOUS) \r | |
162 | newLayer->isDead = kTRUE;\r | |
163 | else \r | |
164 | newLayer->isDead = kFALSE;\r | |
165 | \r | |
166 | if (fLayers.GetEntries()==0) \r | |
167 | fLayers.Add(newLayer);\r | |
168 | else {\r | |
169 | \r | |
170 | for (Int_t i = 0; i<fLayers.GetEntries(); i++) {\r | |
171 | CylLayerK *l = (CylLayerK*)fLayers.At(i);\r | |
172 | if (radius<l->radius) {\r | |
173 | fLayers.AddBefore(l,newLayer);\r | |
174 | break;\r | |
175 | }\r | |
176 | if (radius>l->radius && (i+1)==fLayers.GetEntries() ) { \r | |
177 | // even bigger then last one\r | |
178 | fLayers.Add(newLayer);\r | |
179 | }\r | |
180 | }\r | |
181 | \r | |
182 | }\r | |
183 | fNumberOfLayers += 1;\r | |
d4945a3b | 184 | if (!(newLayer->isDead)) {\r |
185 | fNumberOfActiveLayers += 1;\r | |
186 | TString lname(newLayer->GetName());\r | |
187 | if (!lname.Contains("tpc")) fNumberOfActiveITSLayers += 1;\r | |
188 | }\r | |
caadc8fb | 189 | \r |
190 | \r | |
191 | } else {\r | |
192 | printf("Layer with the name %s does already exist\n",name);\r | |
193 | }\r | |
194 | \r | |
195 | \r | |
196 | }\r | |
197 | \r | |
198 | void DetectorK::KillLayer(char *name) {\r | |
199 | //\r | |
200 | // Marks layer as dead. Contribution only by Material Budget\r | |
201 | //\r | |
202 | \r | |
203 | CylLayerK *tmp = (CylLayerK*) fLayers.FindObject(name);\r | |
204 | if (!tmp) \r | |
205 | printf("Layer %s not found - cannot mark as dead\n",name);\r | |
206 | else {\r | |
207 | tmp->phiRes = 999999;\r | |
208 | tmp->zRes = 999999;\r | |
209 | if (!(tmp->isDead)) {\r | |
210 | tmp->isDead = kTRUE;\r | |
211 | fNumberOfActiveLayers -= 1; \r | |
d4945a3b | 212 | TString lname(tmp->GetName());\r |
213 | if (!lname.Contains("tpc")) fNumberOfActiveITSLayers -= 1;\r | |
caadc8fb | 214 | } \r |
215 | }\r | |
216 | }\r | |
217 | \r | |
218 | void DetectorK::SetRadius(char *name, Float_t radius) {\r | |
219 | //\r | |
220 | // Set layer radius [cm]\r | |
221 | //\r | |
222 | \r | |
223 | CylLayerK *tmp = (CylLayerK*) fLayers.FindObject(name);\r | |
224 | \r | |
225 | \r | |
226 | if (!tmp) {\r | |
227 | printf("Layer %s not found - cannot set radius\n",name);\r | |
228 | } else {\r | |
229 | \r | |
230 | Float_t tmpRadL = tmp->radL;\r | |
231 | Float_t tmpPhiRes = tmp->phiRes;\r | |
232 | Float_t tmpZRes = tmp->zRes;\r | |
233 | \r | |
234 | RemoveLayer(name); // so that the ordering is correct\r | |
235 | AddLayer(name,radius,tmpRadL,tmpPhiRes,tmpZRes);\r | |
236 | }\r | |
237 | }\r | |
238 | \r | |
239 | Float_t DetectorK::GetRadius(char *name) {\r | |
240 | //\r | |
241 | // Return layer radius [cm]\r | |
242 | //\r | |
243 | \r | |
244 | CylLayerK *tmp = (CylLayerK*) fLayers.FindObject(name);\r | |
245 | if (!tmp) \r | |
246 | printf("Layer %s not found - cannot get radius\n",name);\r | |
247 | else \r | |
248 | return tmp->radius;\r | |
249 | \r | |
250 | return 0;\r | |
251 | }\r | |
252 | \r | |
253 | void DetectorK::SetRadiationLength(char *name, Float_t radL) {\r | |
254 | //\r | |
255 | // Set layer material [cm]\r | |
256 | //\r | |
257 | \r | |
258 | CylLayerK *tmp = (CylLayerK*) fLayers.FindObject(name);\r | |
259 | if (!tmp) \r | |
260 | printf("Layer %s not found - cannot set layer material\n",name);\r | |
261 | else {\r | |
262 | tmp->radL = radL;\r | |
263 | }\r | |
264 | }\r | |
265 | \r | |
266 | Float_t DetectorK::GetRadiationLength(char *name) {\r | |
267 | //\r | |
268 | // Return layer radius [cm]\r | |
269 | //\r | |
270 | \r | |
271 | CylLayerK *tmp = (CylLayerK*) fLayers.FindObject(name);\r | |
272 | if (!tmp) \r | |
273 | printf("Layer %s not found - cannot get layer material\n",name);\r | |
274 | else \r | |
275 | return tmp->radL;\r | |
276 | \r | |
277 | return 0;\r | |
278 | \r | |
279 | }\r | |
280 | \r | |
281 | void DetectorK::SetResolution(char *name, Float_t phiRes, Float_t zRes) {\r | |
282 | //\r | |
283 | // Set layer resolution in [cm]\r | |
284 | //\r | |
285 | \r | |
286 | CylLayerK *tmp = (CylLayerK*) fLayers.FindObject(name);\r | |
287 | if (!tmp) \r | |
288 | printf("Layer %s not found - cannot set resolution\n",name);\r | |
289 | else {\r | |
290 | \r | |
291 | Bool_t wasDead = tmp->isDead;\r | |
292 | \r | |
293 | tmp->phiRes = phiRes;\r | |
294 | tmp->zRes = zRes;\r | |
d4945a3b | 295 | TString lname(tmp->GetName());\r |
296 | \r | |
caadc8fb | 297 | if (zRes==RIDICULOUS && phiRes==RIDICULOUS) {\r |
298 | tmp->isDead = kTRUE;\r | |
d4945a3b | 299 | if (!wasDead) {\r |
300 | fNumberOfActiveLayers -= 1;\r | |
301 | if (!lname.Contains("tpc")) fNumberOfActiveITSLayers -= 1;\r | |
302 | }\r | |
caadc8fb | 303 | } else {\r |
304 | tmp->isDead = kFALSE;\r | |
d4945a3b | 305 | if (wasDead) {\r |
306 | fNumberOfActiveLayers += 1;\r | |
307 | if (!lname.Contains("tpc")) fNumberOfActiveITSLayers += 1;\r | |
308 | }\r | |
caadc8fb | 309 | }\r |
310 | \r | |
311 | \r | |
312 | }\r | |
313 | }\r | |
314 | \r | |
315 | Float_t DetectorK::GetResolution(char *name, Int_t axis) {\r | |
316 | //\r | |
317 | // Return layer resolution in [cm]\r | |
318 | // axis = 0: resolution in rphi\r | |
319 | // axis = 1: resolution in z\r | |
320 | //\r | |
321 | \r | |
322 | CylLayerK *tmp = (CylLayerK*) fLayers.FindObject(name);\r | |
323 | if (!tmp) \r | |
324 | printf("Layer %s not found - cannot get resolution\n",name);\r | |
325 | else {\r | |
326 | if (axis==0) return tmp->phiRes;\r | |
327 | if (axis==1) return tmp->zRes;\r | |
328 | printf("error: axis must be either 0 or 1 (rphi or z axis)\n");\r | |
329 | }\r | |
330 | return 0;\r | |
331 | }\r | |
332 | \r | |
333 | void DetectorK::SetLayerEfficiency(char *name, Float_t eff) {\r | |
334 | //\r | |
335 | // Set layer efficnecy (prop that his is missed within this layer) \r | |
336 | //\r | |
337 | \r | |
338 | CylLayerK *tmp = (CylLayerK*) fLayers.FindObject(name);\r | |
339 | if (!tmp) \r | |
340 | printf("Layer %s not found - cannot set layer efficiency\n",name);\r | |
341 | else {\r | |
342 | tmp->eff = eff;\r | |
343 | }\r | |
344 | }\r | |
345 | \r | |
346 | Float_t DetectorK::GetLayerEfficiency(char *name) {\r | |
347 | //\r | |
348 | // Get layer efficnecy (prop that his is missed within this layer) \r | |
349 | //\r | |
350 | \r | |
351 | CylLayerK *tmp = (CylLayerK*) fLayers.FindObject(name);\r | |
352 | if (!tmp) \r | |
353 | printf("Layer %s not found - cannot get layer efficneicy\n",name);\r | |
354 | else \r | |
355 | return tmp->eff;\r | |
356 | \r | |
357 | return 0;\r | |
358 | \r | |
359 | }\r | |
360 | \r | |
361 | void DetectorK::RemoveLayer(char *name) {\r | |
362 | //\r | |
363 | // Removes a layer from the list\r | |
364 | //\r | |
365 | \r | |
366 | CylLayerK *tmp = (CylLayerK*) fLayers.FindObject(name);\r | |
367 | if (!tmp) \r | |
368 | printf("Layer %s not found - cannot remove it\n",name);\r | |
369 | else {\r | |
370 | Bool_t wasDead = tmp->isDead;\r | |
371 | fLayers.Remove(tmp);\r | |
372 | fNumberOfLayers -= 1;\r | |
d4945a3b | 373 | if (!wasDead) {\r |
374 | fNumberOfActiveLayers -= 1;\r | |
375 | TString lname(tmp->GetName());\r | |
376 | if (!lname.Contains("tpc")) fNumberOfActiveITSLayers -= 1;\r | |
377 | \r | |
378 | }\r | |
caadc8fb | 379 | }\r |
380 | }\r | |
381 | \r | |
382 | \r | |
383 | void DetectorK::PrintLayout() {\r | |
384 | //\r | |
385 | // Prints the detector layout\r | |
386 | //\r | |
387 | \r | |
388 | printf("Detector %s: \"%s\"\n",GetName(),GetTitle());\r | |
389 | \r | |
390 | if (fLayers.GetEntries()>0) \r | |
c218d480 | 391 | printf(" Name \t\t r [cm] \t X0 \t phi & z res [um] layerEff \n");\r |
caadc8fb | 392 | \r |
393 | CylLayerK *tmp = 0;\r | |
394 | for (Int_t i = 0; i<fLayers.GetEntries(); i++) {\r | |
395 | tmp = (CylLayerK*)fLayers.At(i);\r | |
396 | \r | |
397 | // don't print all the tpc layers\r | |
398 | TString name(tmp->GetName());\r | |
399 | if (name.Contains("tpc") && (!name.Contains("tpc_0")) ) continue;\r | |
400 | \r | |
401 | printf("%d. %s \t %03.2f \t%1.4f\t ",i,\r | |
402 | tmp->GetName(), tmp->radius, tmp->radL);\r | |
403 | if (tmp->phiRes==RIDICULOUS) \r | |
404 | printf(" - ");\r | |
405 | else\r | |
406 | printf("%3.0f ",tmp->phiRes*10000);\r | |
407 | if (tmp->zRes==RIDICULOUS) \r | |
c218d480 | 408 | printf(" -");\r |
caadc8fb | 409 | else\r |
c218d480 | 410 | printf("%3.0f",tmp->zRes*10000);\r |
411 | \r | |
412 | if (tmp->zRes==RIDICULOUS) \r | |
413 | printf("\t -\n");\r | |
414 | else \r | |
415 | printf("\t%0.2f\n",tmp->eff);\r | |
416 | \r | |
caadc8fb | 417 | }\r |
418 | }\r | |
419 | \r | |
420 | void DetectorK::PlotLayout(Int_t plotDead) {\r | |
421 | //\r | |
422 | // Plots the detector layout in Front view\r | |
423 | //\r | |
424 | \r | |
425 | Double_t x0=0, y0=0;\r | |
426 | \r | |
427 | TGraphErrors *gr = new TGraphErrors();\r | |
428 | gr->SetPoint(0,0,0);\r | |
429 | CylLayerK *lastLayer = (CylLayerK*)fLayers.At(fLayers.GetEntries()-1); Double_t maxRad = lastLayer->radius;\r | |
430 | gr->SetPointError(0,maxRad,maxRad);\r | |
431 | gr->Draw("APE");\r | |
432 | \r | |
433 | \r | |
434 | CylLayerK *tmp = 0;\r | |
435 | for (Int_t i = fLayers.GetEntries()-1; i>=0; i--) {\r | |
436 | tmp = (CylLayerK*)fLayers.At(i);\r | |
437 | \r | |
438 | \r | |
439 | Double_t txtpos = tmp->radius;\r | |
440 | if ((tmp->isDead)) txtpos*=-1; //\r | |
441 | TText *txt = new TText(x0,txtpos,tmp->GetName());\r | |
442 | txt->SetTextSizePixels(5); txt->SetTextAlign(21);\r | |
443 | if (!tmp->isDead || plotDead) txt->Draw();\r | |
444 | \r | |
445 | TEllipse *layEl = new TEllipse(x0,y0,tmp->radius);\r | |
446 | // layEl->SetFillColor(5);\r | |
447 | layEl->SetFillStyle(5001);\r | |
448 | layEl->SetLineStyle(tmp->isDead+1); // dashed if not active\r | |
449 | layEl->SetLineColor(4);\r | |
450 | TString name(tmp->GetName());\r | |
451 | if (!tmp->isDead) layEl->SetLineWidth(2);\r | |
452 | if (name.Contains("tpc") ) layEl->SetLineColor(29);\r | |
453 | \r | |
454 | if (!tmp->isDead || plotDead) layEl->Draw();\r | |
455 | \r | |
456 | }\r | |
457 | \r | |
458 | }\r | |
459 | \r | |
460 | \r | |
461 | \r | |
462 | void DetectorK::AddTPC(Float_t phiResMean, Float_t zResMean, Int_t skip) {\r | |
463 | //\r | |
464 | // Emulates the TPC\r | |
465 | // \r | |
466 | // skip=1: Use every padrow, skip=2: Signal in every 2nd padrow \r | |
467 | \r | |
468 | \r | |
469 | AddLayer((char*)"IFC", 77.8,0.01367); // Inner Field cage\r | |
c218d480 | 470 | AddLayer((char*)"OFC", 254.0,0.01367); // Outer Field cage\r |
471 | \r | |
caadc8fb | 472 | // % Radiation Lengths ... Average per TPC row (i.e. total/159 )\r |
473 | Float_t radLPerRow = 0.000036;\r | |
474 | \r | |
475 | Float_t tpcInnerRadialPitch = 0.75 ; // cm\r | |
476 | Float_t tpcMiddleRadialPitch = 1.0 ; // cm\r | |
477 | Float_t tpcOuterRadialPitch = 1.5 ; // cm\r | |
478 | // Float_t tpcInnerPadWidth = 0.4 ; // cm\r | |
479 | // Float_t tpcMiddlePadWidth = 0.6 ; // cm\r | |
480 | // Float_t tpcOuterPadWidth = 0.6 ; // cm\r | |
481 | Float_t innerRows = 63 ;\r | |
482 | Float_t middleRows = 64 ;\r | |
483 | Float_t outerRows = 32 ;\r | |
484 | Float_t tpcRows = (innerRows + middleRows + outerRows) ;\r | |
485 | Float_t rowOneRadius = 85.2 ; // cm\r | |
486 | Float_t row64Radius = 135.1 ; // cm\r | |
487 | Float_t row128Radius = 199.2 ; // cm \r | |
488 | \r | |
489 | for ( Int_t k = 0 ; k < tpcRows ; k++ ) {\r | |
490 | \r | |
491 | Float_t rowRadius =0;\r | |
492 | if (k<innerRows) \r | |
493 | rowRadius = rowOneRadius + k*tpcInnerRadialPitch ;\r | |
494 | else if ( k>=innerRows && k<(innerRows+middleRows) )\r | |
495 | rowRadius = row64Radius + (k-innerRows+1)*tpcMiddleRadialPitch ;\r | |
496 | else if (k>=(innerRows+middleRows) && k<tpcRows )\r | |
497 | rowRadius = row128Radius + (k-innerRows-middleRows+1)*tpcOuterRadialPitch ;\r | |
498 | \r | |
499 | if ( k%skip == 0 )\r | |
500 | AddLayer(Form("tpc_%d",k),rowRadius,radLPerRow,phiResMean,zResMean); \r | |
501 | else \r | |
502 | AddLayer(Form("tpc_%d",k),rowRadius,radLPerRow); // non "active" row\r | |
503 | \r | |
504 | \r | |
505 | }\r | |
506 | \r | |
507 | }\r | |
508 | \r | |
509 | void DetectorK::RemoveTPC() {\r | |
510 | \r | |
511 | // flag as dead, although resolution is ok ... makes live easier in the prints ... ;-)\r | |
512 | CylLayerK *tmp = 0;\r | |
513 | for (Int_t i = 0; i<fLayers.GetEntries(); i++) {\r | |
514 | tmp = (CylLayerK*)fLayers.At(i); \r | |
515 | TString name(tmp->GetName());\r | |
516 | if (name.Contains("tpc")) { RemoveLayer((char*)name.Data()); i--; }\r | |
517 | }\r | |
518 | RemoveLayer((char*)"IFC");\r | |
519 | \r | |
520 | }\r | |
521 | \r | |
522 | \r | |
523 | Double_t DetectorK::ThetaMCS ( Double_t mass, Double_t radLength, Double_t momentum ) const\r | |
524 | {\r | |
525 | //\r | |
526 | // returns the Multiple Couloumb scattering angle (compare PDG boolet, 2010, equ. 27.14)\r | |
527 | //\r | |
528 | \r | |
529 | Double_t beta = momentum / TMath::Sqrt(momentum*momentum+mass*mass) ;\r | |
530 | Double_t theta = 0.0 ; // Momentum and mass in GeV\r | |
531 | // if ( RadLength > 0 ) theta = 0.0136 * TMath::Sqrt(RadLength) / ( beta * momentum );\r | |
532 | if ( radLength > 0 ) theta = 0.0136 * TMath::Sqrt(radLength) / ( beta * momentum ) * (1+0.038*TMath::Log(radLength)) ;\r | |
533 | return (theta) ;\r | |
534 | }\r | |
535 | \r | |
536 | \r | |
537 | Double_t DetectorK::ProbGoodHit ( Double_t radius, Double_t searchRadiusRPhi, Double_t searchRadiusZ ) \r | |
538 | {\r | |
539 | // Based on work by Howard Wieman: http://rnc.lbl.gov/~wieman/GhostTracks.htm \r | |
540 | // and http://rnc.lbl.gov/~wieman/HitFinding2D.htm\r | |
541 | // This is the probability of getting a good hit using 2D Gaussian distribution function and infinite search radius\r | |
542 | Double_t sx, sy, goodHit ;\r | |
543 | sx = 2 * TMath::Pi() * searchRadiusRPhi * searchRadiusRPhi * HitDensity(radius) ;\r | |
544 | sy = 2 * TMath::Pi() * searchRadiusZ * searchRadiusZ * HitDensity(radius) ;\r | |
545 | goodHit = TMath::Sqrt(1./((1+sx)*(1+sy))) ;\r | |
546 | return ( goodHit ) ;\r | |
547 | }\r | |
548 | \r | |
549 | \r | |
550 | Double_t DetectorK::ProbGoodChiSqHit ( Double_t radius, Double_t searchRadiusRPhi, Double_t searchRadiusZ ) \r | |
551 | {\r | |
552 | // Based on work by Victor Perevoztchikov and Howard Wieman: http://rnc.lbl.gov/~wieman/HitFinding2DXsq.htm\r | |
553 | // This is the probability of getting a good hit using a Chi**2 search on a 2D Gaussian distribution function\r | |
554 | Double_t sx, goodHit ;\r | |
555 | sx = 2 * TMath::Pi() * searchRadiusRPhi * searchRadiusZ * HitDensity(radius) ;\r | |
556 | goodHit = 1./(1+sx) ;\r | |
557 | return ( goodHit ) ; \r | |
558 | }\r | |
559 | \r | |
560 | Double_t DetectorK::ProbGoodChiSqPlusConfHit ( Double_t radius, Double_t leff, Double_t searchRadiusRPhi, Double_t searchRadiusZ ) \r | |
561 | {\r | |
562 | // Based on work by Ruben Shahoyen \r | |
563 | // This is the probability of getting a good hit using a Chi**2 search on a 2D Gaussian distribution function\r | |
564 | // Plus, in addition, taking a "confidence level" and the "layer efficiency" into account \r | |
565 | // Following is correct for 2 DOF\r | |
566 | \r | |
d4945a3b | 567 | Double_t c = -2 *TMath::Log(fConfLevel); // quantile at cut of confidence level\r |
caadc8fb | 568 | Double_t alpha = (1 + 2 * TMath::Pi() * HitDensity(radius) * searchRadiusRPhi * searchRadiusZ)/2; \r |
d4945a3b | 569 | Double_t goodHit = leff/(2*alpha) * (1 - TMath::Exp(-alpha*c));\r |
caadc8fb | 570 | return ( goodHit ) ; \r |
571 | }\r | |
572 | \r | |
d4945a3b | 573 | Double_t DetectorK::ProbNullChiSqPlusConfHit ( Double_t radius, Double_t leff, Double_t searchRadiusRPhi, Double_t searchRadiusZ ) \r |
574 | {\r | |
575 | // Based on work by Ruben Shahoyen \r | |
576 | // This is the probability to not have any match to the track (see also :ProbGoodChiSqPlusConfHit:)\r | |
577 | \r | |
578 | Double_t c = -2 *TMath::Log(fConfLevel); // quantile at cut of confidence level\r | |
579 | Double_t alpha = (1 + 2 * TMath::Pi() * HitDensity(radius) * searchRadiusRPhi * searchRadiusZ)/2; \r | |
580 | Double_t nullHit = (1-leff+fConfLevel*leff)*TMath::Exp(-c*(alpha-1./2));\r | |
581 | return ( nullHit ) ; \r | |
582 | }\r | |
caadc8fb | 583 | \r |
584 | Double_t DetectorK::HitDensity ( Double_t radius ) \r | |
585 | {\r | |
586 | // Background (0-1) is included via 'OtherBackground' which multiplies the minBias rate by a scale factor.\r | |
587 | // UPC electrons is a temporary kludge that is based on Kai Schweda's summary of Kai Hainken's MC results\r | |
588 | // See K. Hencken et al. PRC 69, 054902 (2004) and PPT slides by Kai Schweda.\r | |
589 | // Note that this function assumes we are working in CM and CM**2 [not meters].\r | |
590 | // Based on work by Yan Lu 12/20/2006, all radii and densities in centimeters or cm**2.\r | |
591 | \r | |
592 | // Double_t MaxRadiusSlowDet = 0.1; //? // Maximum radius for slow detectors. Fast detectors \r | |
593 | // and only fast detectors reside outside this radius.\r | |
594 | Double_t arealDensity = 0 ;\r | |
595 | \r | |
596 | if ( radius > fMaxRadiusSlowDet ) \r | |
597 | {\r | |
d4945a3b | 598 | arealDensity = OneEventHitDensity(fdNdEtaCent,radius) ; // Fast detectors see central collision density (only)\r |
caadc8fb | 599 | arealDensity += OtherBackground*OneEventHitDensity(dNdEtaMinB,radius) ; // Increase density due to background \r |
600 | }\r | |
601 | \r | |
602 | if (radius < fMaxRadiusSlowDet )\r | |
603 | { // Note that IntegratedHitDensity will always be minB one event, or more, even if integration time => zero.\r | |
d4945a3b | 604 | arealDensity = OneEventHitDensity(fdNdEtaCent,radius) \r |
caadc8fb | 605 | + IntegratedHitDensity(dNdEtaMinB,radius) \r |
606 | + UpcHitDensity(radius) ;\r | |
607 | arealDensity += OtherBackground*IntegratedHitDensity(dNdEtaMinB,radius) ; \r | |
608 | // Increase density due to background \r | |
609 | } \r | |
610 | \r | |
611 | return ( arealDensity ) ; \r | |
612 | }\r | |
613 | \r | |
614 | \r | |
615 | double DetectorK::OneEventHitDensity( Double_t multiplicity, Double_t radius ) const\r | |
616 | {\r | |
617 | // This is for one event at the vertex. No smearing.\r | |
4db25e6f | 618 | \r |
caadc8fb | 619 | double den = multiplicity / (2.*TMath::Pi()*radius*radius) ; // 2 eta ?\r |
4db25e6f | 620 | double tg = TMath::Tan(2*TMath::ATan(TMath::Exp(-fAvgRapidity)));\r |
621 | den = den/TMath::Sqrt(1 + 1/(tg*tg));\r | |
622 | \r | |
623 | // double den = multiplicity / (2.*TMath::Pi()*radius*radius) ; // 2 eta ?\r | |
caadc8fb | 624 | // note: surface of sphere is '4*pi*r^2'\r |
625 | // surface of cylinder is '2*pi*r* h' \r | |
4db25e6f | 626 | \r |
627 | \r | |
628 | \r | |
caadc8fb | 629 | return den ;\r |
630 | } \r | |
631 | \r | |
632 | \r | |
633 | double DetectorK::IntegratedHitDensity(Double_t multiplicity, Double_t radius)\r | |
634 | { \r | |
635 | // The integral of minBias events smeared over a gaussian vertex distribution.\r | |
636 | // Based on work by Yan Lu 12/20/2006, all radii in centimeters.\r | |
637 | \r | |
638 | Double_t zdcHz = Luminosity * 1.e-24 * CrossSectionMinB ;\r | |
639 | Double_t den = zdcHz * fIntegrationTime/1000. * multiplicity * Dist(0., radius) / (2.*TMath::Pi()*radius) ;\r | |
640 | \r | |
641 | // Note that we do not allow the rate*time calculation to fall below one minB event at the vertex.\r | |
642 | if ( den < OneEventHitDensity(multiplicity,radius) ) den = OneEventHitDensity(multiplicity,radius) ; \r | |
643 | \r | |
644 | return den ;\r | |
645 | } \r | |
646 | \r | |
647 | \r | |
648 | double DetectorK::UpcHitDensity(Double_t radius)\r | |
649 | { \r | |
650 | // QED electrons ...\r | |
651 | \r | |
652 | Double_t mUPCelectrons ; ; \r | |
653 | // mUPCelectrons = fLhcUPCscale * (1.23 - radius/6.5) ; // Fit to Kai Schweda summary tables at RHIC * 'scale' for LHC\r | |
654 | mUPCelectrons = fLhcUPCscale*5456/(radius*radius)/dNdEtaMinB; // Fit to 'Rossegger,Sadovsky'-Alice simulation\r | |
655 | if ( mUPCelectrons < 0 ) mUPCelectrons = 0.0 ; // UPC electrons fall off quickly and don't go to large R\r | |
656 | mUPCelectrons *= IntegratedHitDensity(dNdEtaMinB,radius) ; // UPCs increase Mulitiplicty ~ proportional to MinBias rate\r | |
657 | mUPCelectrons *= UPCBackgroundMultiplier ; // Allow for an external multiplier (eg 0-1) to turn off UPC\r | |
658 | \r | |
659 | return mUPCelectrons ;\r | |
660 | } \r | |
661 | \r | |
662 | \r | |
663 | double DetectorK::Dist(double z, double r)\r | |
664 | {\r | |
665 | // Convolute dEta/dZ distribution with assumed Gaussian of vertex z distribution\r | |
666 | // Based on work by Howard Wieman http://rnc.lbl.gov/~wieman/HitDensityMeasuredLuminosity7.htm\r | |
667 | // Based on work by Yan Lu 12/20/2006, all radii and Z location in centimeters.\r | |
668 | Int_t index = 1 ; // Start weight at 1 for Simpsons rule integration\r | |
669 | Int_t nsteps = 301 ; // NSteps must be odd for Simpson's rule to work\r | |
670 | double dist = 0.0 ;\r | |
671 | double dz0 = ( 4*SigmaD - (-4)*SigmaD ) / (nsteps-1) ; //cm\r | |
672 | double z0 = 0.0 ; //cm\r | |
673 | for(int i=0; i<nsteps; i++){\r | |
674 | if ( i == nsteps-1 ) index = 1 ;\r | |
675 | z0 = -4*SigmaD + i*dz0 ;\r | |
676 | dist += index * (dz0/3.) * (1/sqrt(2.*TMath::Pi())/SigmaD) * exp(-z0*z0/2./SigmaD/SigmaD) * \r | |
677 | (1/sqrt((z-z0)*(z-z0) + r*r)) ;\r | |
678 | if ( index != 4 ) index = 4; else index = 2 ;\r | |
679 | }\r | |
680 | return dist; \r | |
681 | }\r | |
682 | \r | |
683 | #define PZero 0.861 // Momentum of back to back decay particles in the CM frame\r | |
684 | #define EPiZero 0.872 // Energy of the pion from a D0 decay at rest\r | |
685 | #define EKZero 0.993 // Energy of the Kaon from a D0 decay at rest\r | |
686 | \r | |
687 | Double_t DetectorK::D0IntegratedEfficiency( Double_t pt, Double_t corrEfficiency[][400] ) const {\r | |
688 | // Math from Ron Longacre. Note hardwired energy to bin conversion for PtK and PtPi.\r | |
689 | \r | |
690 | Double_t const1 = pt / D0Mass ;\r | |
691 | Double_t const2 = TMath::Sqrt(pt*pt+D0Mass*D0Mass) / D0Mass ;\r | |
692 | Double_t sum, ptPi, ptK ;\r | |
693 | Double_t effp, effk ;\r | |
694 | \r | |
695 | sum = 0.0 ;\r | |
696 | for ( Int_t k = 0 ; k < 360 ; k++ ) {\r | |
697 | \r | |
698 | Double_t theta = k * TMath::Pi() / 180. ;\r | |
699 | \r | |
700 | ptPi = TMath::Sqrt( \r | |
701 | PZero*PZero*TMath::Cos(theta)*TMath::Cos(theta)*const2*const2 +\r | |
702 | const1*const1*EPiZero*EPiZero -\r | |
703 | 2*PZero*TMath::Cos(theta)*const2*const1*EPiZero +\r | |
704 | PZero*PZero*TMath::Sin(theta)*TMath::Sin(theta)\r | |
705 | ) ;\r | |
706 | \r | |
707 | ptK = TMath::Sqrt( \r | |
708 | PZero*PZero*TMath::Cos(theta)*TMath::Cos(theta)*const2*const2 +\r | |
709 | const1*const1*EKZero*EKZero +\r | |
710 | 2*PZero*TMath::Cos(theta)*const2*const1*EKZero +\r | |
711 | PZero*PZero*TMath::Sin(theta)*TMath::Sin(theta)\r | |
712 | ) ;\r | |
713 | \r | |
714 | // JT Test Remove 100 MeV/c in pt to simulate eta!=0 decays\r | |
715 | Int_t pionindex = (int)((ptPi-0.1)*100.0 - 65.0*TMath::Abs(fBField)) ; \r | |
716 | Int_t kaonindex = (int)((ptK -0.1)*100.0 - 65.0*TMath::Abs(fBField)) ; \r | |
717 | \r | |
d4945a3b | 718 | if ( pionindex >= kNptBins ) pionindex = 399 ;\r |
caadc8fb | 719 | if ( pionindex >= 0 ) effp = corrEfficiency[0][pionindex] ;\r |
720 | if ( pionindex < 0 ) effp = (corrEfficiency[0][1]-corrEfficiency[0][0])*pionindex + corrEfficiency[0][0] ; // Extrapolate if reqd\r | |
721 | if ( effp < 0 ) effp = 0 ;\r | |
722 | \r | |
d4945a3b | 723 | if ( kaonindex >= kNptBins ) kaonindex = 399 ;\r |
caadc8fb | 724 | if ( kaonindex >= 0 ) effk = corrEfficiency[1][kaonindex] ;\r |
725 | if ( kaonindex < 0 ) effk = (corrEfficiency[1][1]-corrEfficiency[1][0])*kaonindex + corrEfficiency[1][0] ; // Extrapolate if reqd\r | |
726 | if ( effk < 0 ) effk = 0 ;\r | |
727 | \r | |
728 | // Note that we assume that the Kaon Decay efficiency has already been inlcuded in the kaon efficiency used here.\r | |
729 | \r | |
730 | sum += effp * effk ;\r | |
731 | \r | |
732 | } \r | |
733 | \r | |
734 | Double_t mean =sum/360; \r | |
735 | return mean ;\r | |
736 | \r | |
737 | }\r | |
738 | \r | |
739 | \r | |
caadc8fb | 740 | \r |
c218d480 | 741 | void DetectorK::SolveViaBilloir(Int_t flagD0,Int_t print, Bool_t allPt, Double_t meanPt, char* detLayer) {\r |
caadc8fb | 742 | //\r |
743 | // Solves the current geometry with the Billoir technique \r | |
744 | // ( see P. Billoir, Nucl. Instr. and Meth. 225 (1984), p. 352. )\r | |
745 | // ABOVE IS OBSOLETE -> NOW, its uses the Aliroot Kalman technique\r | |
746 | //\r | |
747 | \r | |
c218d480 | 748 | \r |
caadc8fb | 749 | static AliExternalTrackParam probTr; // track to propagate\r |
750 | probTr.SetUseLogTermMS(kTRUE);\r | |
751 | \r | |
752 | \r | |
d4945a3b | 753 | Int_t nPt = kNptBins;\r |
caadc8fb | 754 | // Clean up ......\r |
755 | for (Int_t i=0; i<kMaxNumberOfDetectors; i++) {\r | |
756 | for (Int_t j=0; j<nPt; j++) {\r | |
757 | fDetPointRes[i][j] = RIDICULOUS;\r | |
758 | fDetPointZRes[i][j] = RIDICULOUS;\r | |
759 | fTransMomenta[i] =0;\r | |
760 | fMomentumRes[i] =0;\r | |
761 | fResolutionRPhi[i] =0;\r | |
762 | }\r | |
763 | }\r | |
764 | \r | |
765 | if (!allPt) { // not the whole pt range -> allows a faster minimization at a defined 'meanpt'\r | |
766 | nPt = 3;\r | |
767 | }\r | |
768 | \r | |
769 | \r | |
770 | // Calculate track parameters using Billoirs method of matrices\r | |
771 | \r | |
772 | Double_t pt,tgl, pz, lambda, deltaPoverP ;\r | |
773 | Double_t charge ;\r | |
774 | Double_t mass[3] ;\r | |
775 | Int_t printOnce = 1 ;\r | |
776 | \r | |
777 | mass[0] = PionMass ; mass[1] = KaonMass ; // Loop twice for the D0; first pi then k \r | |
778 | \r | |
779 | mass[2] = fParticleMass; // third loop\r | |
780 | \r | |
781 | Int_t mStart =0; \r | |
782 | if (!flagD0) mStart = 2; // pion and kaon is skipped -> fast mode\r | |
783 | \r | |
d4945a3b | 784 | \r |
785 | \r | |
786 | \r | |
787 | // Prepare Probability Kombinations\r | |
788 | Int_t nLayer = fNumberOfActiveITSLayers;\r | |
789 | Int_t base = 3; // null, fake, correct\r | |
790 | \r | |
c218d480 | 791 | Int_t komb = (Int_t) TMath::Power(base,nLayer);\r |
d4945a3b | 792 | \r |
793 | TMatrixD probLay(base,fNumberOfActiveITSLayers);\r | |
794 | TMatrixD probKomb(komb,nLayer);\r | |
795 | for (Int_t num=0; num<komb; num++) {\r | |
796 | for (Int_t l=nLayer-1; l>=0; l--) {\r | |
797 | Int_t pow = ((Int_t)TMath::Power(base,l+1));\r | |
798 | probKomb(num,nLayer-1-l)=(num%pow)/((Int_t)TMath::Power(base,l));\r | |
799 | }\r | |
800 | }\r | |
801 | \r | |
c218d480 | 802 | TString detLayerStr(detLayer);\r |
803 | CylLayerK *theLayer = (CylLayerK*) fLayers.FindObject(detLayer);\r | |
804 | if (!theLayer && detLayerStr.IsNull()!=1){\r | |
805 | printf("Error: Layer with the name \"%s\" not found -> no detailed infos possible\n",detLayer);\r | |
806 | return;\r | |
807 | }\r | |
808 | for (Int_t i=0; i<fLayers.GetEntries();i++) {\r | |
809 | CylLayerK *l = (CylLayerK*) fLayers.At(i);\r | |
810 | if (detLayerStr.CompareTo(l->GetName())==0) { // is the same\r | |
811 | kDetLayer=i;\r | |
812 | break;\r | |
813 | }\r | |
814 | }\r | |
815 | \r | |
816 | \r | |
caadc8fb | 817 | for ( Int_t massloop = mStart ; massloop < 3 ; massloop++ ) { \r |
818 | \r | |
819 | // PseudoRapidity OK, used as an angle\r | |
820 | lambda = TMath::Pi()/2.0 - 2.0*TMath::ATan(TMath::Exp(-1*fAvgRapidity)) ; \r | |
821 | \r | |
822 | \r | |
823 | for ( Int_t i = 0 ; i < nPt ; i++ ) { // pt loop\r | |
824 | \r | |
825 | CylLayerK *last = (CylLayerK*) fLayers.At((fLayers.GetEntries()-1));\r | |
826 | \r | |
827 | // Starting values based on radius of outermost layer ... log10 steps to ~20 GeV\r | |
828 | Double_t bigRad = last->radius/2 ; // min. pt which the algorithm below could handle\r | |
c218d480 | 829 | // if (bigRad<61) bigRad=61; // -> min pt around 100 MeV for Bz=0.5T (don't overdo it ... ;-) )\r |
830 | fTransMomenta[i] = ( 0.3*bigRad*TMath::Abs(fBField)*1e-2 ) - 0.08 - (1./fptScale-0.1) + TMath::Power(10,2.3*i/nPt) / fptScale ; \r | |
caadc8fb | 831 | if (!allPt) { // just 3 points around meanPt\r |
c218d480 | 832 | fTransMomenta[i] = meanPt-0.001+(Double_t)(i)*0.001;\r |
caadc8fb | 833 | }\r |
d4945a3b | 834 | \r |
caadc8fb | 835 | // New from here ................\r |
836 | \r | |
837 | // Assume track started at (0,0,0) and shoots out on the X axis, and B field is on the Z axis\r | |
838 | // These are the EndPoint values for y, z, a, b, and d\r | |
839 | double bGauss = fBField*10; // field in kgauss\r | |
840 | pt = fTransMomenta[i]; // GeV/c\r | |
841 | tgl = TMath::Tan(lambda); // dip\r | |
842 | charge = -1; // Assume an electron \r | |
843 | pz = pt * TMath::Tan(lambda) ; // GeV/\r | |
844 | enum {kY,kZ,kSnp,kTgl,kPtI}; // track parameter aliases\r | |
845 | enum {kY2,kYZ,kZ2,kYSnp,kZSnp,kSnp2,kYTgl,kZTgl,kSnpTgl,kTgl2,kYPtI,kZPtI,kSnpPtI,kTglPtI,kPtI2}; // cov.matrix aliases\r | |
846 | //\r | |
847 | probTr.Reset();\r | |
848 | double *trPars = (double*)probTr.GetParameter();\r | |
849 | double *trCov = (double*)probTr.GetCovariance();\r | |
850 | trPars[kY] = 0; // start from Y = 0\r | |
851 | trPars[kZ] = 0; // Z = 0 \r | |
852 | trPars[kSnp] = 0; // track along X axis at the vertex\r | |
853 | trPars[kTgl] = TMath::Tan(lambda); // dip\r | |
d4945a3b | 854 | trPars[kPtI] = charge/pt; // q/pt \r |
caadc8fb | 855 | //\r |
856 | // put tiny errors to propagate to the outer radius\r | |
857 | trCov[kY2] = trCov[kZ2] = trCov[kSnp2] = trCov[kTgl2] = trCov[kPtI2] = 1e-9;\r | |
c218d480 | 858 | if (!PropagateToR(&probTr,last->radius,bGauss,1)) continue;\r |
859 | //if (!probTr.PropagateTo(last->radius,bGauss)) continue;\r | |
caadc8fb | 860 | // reset cov.matrix\r |
861 | const double kLargeErr2Coord = 50*50;\r | |
862 | const double kLargeErr2Dir = 0.6*0.6;\r | |
863 | const double kLargeErr2PtI = 0.5*0.5;\r | |
864 | for (int ic=15;ic--;) trCov[ic] = 0.;\r | |
865 | trCov[kY2] = trCov[kZ2] = kLargeErr2Coord; \r | |
866 | trCov[kSnp2] = trCov[kTgl2] = kLargeErr2Dir;\r | |
867 | trCov[kPtI2] = kLargeErr2PtI*trPars[kPtI]*trPars[kPtI];\r | |
d4945a3b | 868 | //\r |
caadc8fb | 869 | // printf("%d - pt %lf r%lf | %lf %lf\n",massloop,fTransMomenta[i],(last->radius)/100,momentum, d);\r |
870 | \r | |
871 | // Set Detector-Efficiency Storage area to unity\r | |
872 | fEfficiency[massloop][i] = 1.0 ;\r | |
873 | //\r | |
874 | // Back-propagate the covariance matrix along the track. \r | |
875 | \r | |
876 | CylLayerK *layer = 0;\r | |
877 | \r | |
878 | // find last "active layer" - start tracking at the last active layer \r | |
879 | Int_t lastActiveLayer = 0;\r | |
880 | for (Int_t j=fLayers.GetEntries(); j--;) { \r | |
881 | layer = (CylLayerK*)fLayers.At(j);\r | |
882 | if (!(layer->isDead)) { // is alive\r | |
883 | lastActiveLayer = j;\r | |
884 | break;\r | |
885 | }\r | |
886 | }\r | |
c218d480 | 887 | // probTr.Print();\r |
caadc8fb | 888 | for (Int_t j=lastActiveLayer; j--;) { // Layer loop\r |
889 | \r | |
890 | layer = (CylLayerK*)fLayers.At(j);\r | |
c218d480 | 891 | \r |
892 | if (layer->radius>fMaxSeedRadius) continue; // no seeding beyond this radius \r | |
893 | \r | |
caadc8fb | 894 | TString name(layer->GetName());\r |
895 | Bool_t isVertex = name.Contains("vertex");\r | |
896 | //\r | |
c218d480 | 897 | if (!PropagateToR(&probTr,layer->radius,bGauss,-1)) exit(1);\r |
898 | // if (!probTr.PropagateTo(last->radius,bGauss)) exit(1); //\r | |
caadc8fb | 899 | // rotate to frame with X axis normal to the surface\r |
900 | if (!isVertex) {\r | |
901 | double pos[3];\r | |
902 | probTr.GetXYZ(pos); // lab position\r | |
903 | double phi = TMath::ATan2(pos[1],pos[0]);\r | |
904 | if ( TMath::Abs(TMath::Abs(phi)-TMath::Pi()/2)<1e-3) phi = 0;//TMath::Sign(TMath::Pi()/2 - 1e-3,phi);\r | |
905 | if (!probTr.Rotate(phi)) {\r | |
c218d480 | 906 | printf("Failed to rotate to the frame (phi:%+.3f)of layer at %.2f at XYZ: %+.3f %+.3f %+.3f (pt=%+.3f)\n",\r |
907 | phi,layer->radius,pos[0],pos[1],pos[2],pt);\r | |
908 | \r | |
caadc8fb | 909 | probTr.Print();\r |
910 | exit(1);\r | |
911 | }\r | |
912 | }\r | |
913 | // save resolutions at this layer\r | |
914 | fDetPointRes [j][i] = TMath::Sqrt( probTr.GetSigmaY2() )/100 ; // result in meters\r | |
915 | fDetPointZRes[j][i] = TMath::Sqrt( probTr.GetSigmaZ2() )/100 ; // result in meters\r | |
916 | //printf(">> L%d r:%e sy: %e sz: %e\n",j,layer->radius,fDetPointRes[j][i],fDetPointZRes[j][i]);\r | |
917 | // End save\r | |
918 | //\r | |
919 | if (isVertex) continue;\r | |
920 | //\r | |
921 | // create fake measurement with the errors assigned to the layer\r | |
922 | // account for the measurement there \r | |
923 | double meas[2] = {probTr.GetY(),probTr.GetZ()};\r | |
924 | double measErr2[3] = {layer->phiRes*layer->phiRes,0,layer->zRes*layer->zRes};\r | |
925 | //\r | |
c218d480 | 926 | \r |
caadc8fb | 927 | if (!probTr.Update(meas,measErr2)) {\r |
928 | printf("Failed to update the track by measurement {%.3f,%3f} err {%.3e %.3e %.3e}\n",\r | |
929 | meas[0],meas[1], measErr2[0],measErr2[1],measErr2[2]);\r | |
930 | probTr.Print();\r | |
931 | exit(1);\r | |
932 | }\r | |
933 | \r | |
934 | // correct for materials of this layer\r | |
935 | // note: if apart from MS we want also e.loss correction, the density*length should be provided as 2nd param\r | |
936 | if (!probTr.CorrectForMeanMaterial(layer->radL, 0, mass[massloop] , kTRUE)) {\r | |
937 | printf("Failed to apply material correction, X/X0=%.4f\n",layer->radL);\r | |
938 | probTr.Print();\r | |
939 | exit(1);\r | |
940 | }\r | |
941 | //\r | |
942 | }\r | |
943 | \r | |
944 | // Pattern recognition is done .... save values like vertex resolution etc.\r | |
945 | \r | |
946 | // Convert the Convariance matrix parameters into physical quantities\r | |
947 | // The results are propogated to the previous point but *do not* include the measurement at that point.\r | |
948 | // deltaPoverP = TMath::Sqrt(probTr.GetSigma1Pt2())/probTr.Get1P(); // Absolute magnitude so ignore charge\r | |
c218d480 | 949 | deltaPoverP = TMath::Sqrt(probTr.GetSigma1Pt2())/TMath::Abs(probTr.GetSigned1Pt());\r |
caadc8fb | 950 | fMomentumRes[i] = 100.* TMath::Abs( deltaPoverP ); // results in percent\r |
951 | fResolutionRPhi[i] = TMath::Sqrt( probTr.GetSigmaY2() ) * 1.e4; // result in microns\r | |
952 | fResolutionZ[i] = TMath::Sqrt( probTr.GetSigmaZ2() ) * 1.e4; // result in microns\r | |
953 | // equivalent[i] = TMath::Sqrt(fResolutionRPhi[i]*fResolutionZ[i]) ; // Equivalent circular radius\r | |
954 | \r | |
955 | \r | |
956 | if (print == 1 && fTransMomenta[i] >= meanPt && massloop == 2 && printOnce == 1) {\r | |
957 | printf("Number of active layers: %d\n",fNumberOfActiveLayers) ;\r | |
d4945a3b | 958 | if (fAtLeastCorr != -1) printf("Number of combinatorics for probabilities: %d\n",komb);\r |
caadc8fb | 959 | printf("Mass of tracked particle: %f (at pt=%5.0lf MeV)\n",fParticleMass,fTransMomenta[i]*1000);\r |
960 | printf("Name Radius Thickness PointResOn PointResOnZ DetRes DetResZ Density Efficiency\n") ;\r | |
961 | // printOnce =0;\r | |
962 | }\r | |
963 | \r | |
964 | // print out and efficiency calculation\r | |
d4945a3b | 965 | Int_t iLayActive=0;\r |
caadc8fb | 966 | for (Int_t j=(fLayers.GetEntries()-1); j>=0; j--) { // Layer loop\r |
967 | \r | |
968 | layer = (CylLayerK*)fLayers.At(j);\r | |
969 | \r | |
970 | // Convert to Meters, Tesla, and GeV\r | |
971 | Float_t radius = layer->radius /100;\r | |
972 | Float_t phiRes = layer->phiRes /100;\r | |
973 | Float_t zRes = layer->zRes /100;\r | |
974 | Float_t radLength = layer->radL;\r | |
975 | Float_t leff = layer->eff; // basic layer efficiency\r | |
976 | Bool_t isDead = layer->isDead;\r | |
977 | \r | |
978 | \r | |
979 | if ( (!isDead && radLength >0) ) { \r | |
d4945a3b | 980 | \r |
caadc8fb | 981 | Double_t rphiError = TMath::Sqrt( fDetPointRes[j][i] * fDetPointRes [j][i] + \r |
982 | phiRes * phiRes ) * 100. ; // work in cm\r | |
983 | Double_t zError = TMath::Sqrt( fDetPointZRes[j][i] * fDetPointZRes[j][i] +\r | |
984 | zRes * zRes ) * 100. ; // work in cm\r | |
985 | \r | |
d4945a3b | 986 | \r |
caadc8fb | 987 | Double_t layerEfficiency = 0;\r |
988 | if ( EfficiencySearchFlag == 0 )\r | |
989 | layerEfficiency = ProbGoodHit( radius*100, rphiError , zError ) ;\r | |
990 | else if ( EfficiencySearchFlag == 1 )\r | |
991 | layerEfficiency = ProbGoodChiSqHit( radius*100, rphiError , zError ) ;\r | |
992 | else if ( EfficiencySearchFlag == 2 )\r | |
993 | layerEfficiency = ProbGoodChiSqPlusConfHit( radius*100,leff, rphiError , zError ) ;\r | |
d4945a3b | 994 | \r |
caadc8fb | 995 | TString name(layer->GetName());\r |
d4945a3b | 996 | if (!name.Contains("tpc")) {\r |
997 | probLay(2,iLayActive)= layerEfficiency ; // Pcorr\r | |
998 | probLay(0,iLayActive)= ProbNullChiSqPlusConfHit( radius*100,leff, rphiError , zError ) ; // Pnull\r | |
999 | probLay(1,iLayActive)= 1 - probLay(2,iLayActive) - probLay(0,iLayActive); // Pfake\r | |
1000 | iLayActive++; \r | |
1001 | }\r | |
caadc8fb | 1002 | if (name.Contains("tpc") && (!name.Contains("tpc_0")) ) continue;\r |
1003 | \r | |
1004 | if (print == 1 && fTransMomenta[i] >= meanPt && massloop == 2 && printOnce == 1) {\r | |
1005 | \r | |
1006 | \r | |
1007 | printf("%s:\t%5.1f %9.4f %10.0f %11.0f %7.0f %8.0f %8.2f ",\r | |
1008 | layer->GetName(), radius*100, radLength, \r | |
1009 | fDetPointRes[j][i]*1.e6, fDetPointZRes[j][i]*1.e6,\r | |
1010 | phiRes*1.e6, zRes*1.e6,\r | |
1011 | HitDensity(radius*100)) ;\r | |
1012 | if (!name.Contains("tpc")) \r | |
1013 | printf("%10.3f\n", layerEfficiency);\r | |
1014 | else\r | |
1015 | printf(" - \n");\r | |
1016 | }\r | |
1017 | \r | |
c218d480 | 1018 | if (!name.Contains("tpc") && !name.Contains("trd")) fEfficiency[massloop][i] *= layerEfficiency;\r |
d4945a3b | 1019 | \r |
1020 | \r | |
1021 | }\r | |
1022 | \r | |
1023 | if (fAtLeastCorr != -1) {\r | |
1024 | // Calculate probabilities from Kombinatorics tree ...\r | |
1025 | Double_t *probs = PrepareEffFakeKombinations(&probKomb, &probLay);\r | |
1026 | fEfficiency[massloop][i] = probs[0]; // efficiency\r | |
1027 | fFake[massloop][i] = probs[1]; // fake\r | |
caadc8fb | 1028 | }\r |
d4945a3b | 1029 | \r |
caadc8fb | 1030 | /*\r |
1031 | // vertex print\r | |
1032 | if (print == 1 && fTransMomenta[i] >= meanPt && massloop == 2 && printOnce == 1 && radius==0) {\r | |
1033 | printf("%s:\t ----- ----- %10.0f %11.0f \n", layer->GetName(),fDetPointRes[j][i]*1.e6, fDetPointZRes[j][i]*1.e6);\r | |
1034 | }\r | |
1035 | */\r | |
1036 | }\r | |
1037 | if (print == 1 && fTransMomenta[i] >= meanPt && massloop == 2 && printOnce == 1) {\r | |
c218d480 | 1038 | if (fNumberOfActiveLayers >=1500) printOnce = 0 ;\r |
caadc8fb | 1039 | printf("\n") ;\r |
1040 | }\r | |
1041 | \r | |
1042 | \r | |
1043 | \r | |
1044 | \r | |
c218d480 | 1045 | if (fNumberOfActiveLayers <1500 ) {\r |
caadc8fb | 1046 | \r |
1047 | \r | |
1048 | \r | |
1049 | // BACKWORD TRACKING +++++++++++++++++\r | |
1050 | // number of layers is quite low ... efficiency calculation was probably nonsense \r | |
1051 | // Tracking outward (backword) to get reliable efficiencies from "smoothed estimates"\r | |
1052 | \r | |
1053 | // For below, see paper, NIM A262 (1987) p.444, eqs.12.\r | |
1054 | // Equivalently, one can simply combine the forward and backward estimates. Assuming\r | |
1055 | // pf,Cf and pb,Cb as extrapolated position estimates and errors from fwd and bwd passes one can\r | |
1056 | // use a weighted estimate Cw = (Cf^-1 + Cb^-1)^-1, pw = Cw (pf Cf^-1 + pb Cb^-1).\r | |
1057 | // Surely, for the most extreme point, where one error matrices is infinite, this does not change anything.\r | |
1058 | \r | |
d4945a3b | 1059 | Bool_t doLikeAliRoot = 0; // don't do the "combined info" but do like in Aliroot\r |
caadc8fb | 1060 | \r |
1061 | if (print == 1 && fTransMomenta[i] >= meanPt && massloop == 2 && printOnce == 1) { \r | |
1062 | printf("- Numbers of active layer is low (%d):\n -> \"outward\" fitting done as well to get reliable eff.estimates\n",\r | |
1063 | fNumberOfActiveLayers); \r | |
1064 | }\r | |
1065 | \r | |
1066 | // RESET Covariance Matrix ( to 10 x the estimate -> as it is done in AliExternalTrackParam)\r | |
1067 | // mIstar.UnitMatrix(); // start with unity\r | |
1068 | if (doLikeAliRoot) {\r | |
d4945a3b | 1069 | probTr.ResetCovariance(10);\r |
caadc8fb | 1070 | } else {\r |
1071 | // cannot do complete reset, set to very large errors\r | |
1072 | trCov[kY2] = trCov[kZ2] = kLargeErr2Coord; \r | |
1073 | trCov[kSnp2] = trCov[kTgl2] = kLargeErr2Dir;\r | |
1074 | trCov[kPtI2] = kLargeErr2PtI*trPars[kPtI]*trPars[kPtI];\r | |
1075 | // cout<<pt<<": "<<kLargeErr2Coord<<" "<<kLargeErr2Dir<<" "<<kLargeErr2PtI*trPars[kPtI]*trPars[kPtI]<<endl;\r | |
1076 | }\r | |
1077 | // Clean up and storing of "forward estimates"\r | |
d4945a3b | 1078 | Double_t detPointResForw[kMaxNumberOfDetectors][kNptBins], detPointZResForw[kMaxNumberOfDetectors][kNptBins] ; \r |
caadc8fb | 1079 | for (Int_t k=0; k<kMaxNumberOfDetectors; k++) {\r |
1080 | for (Int_t l=0; l<nPt; l++) {\r | |
1081 | detPointResForw[k][l] = fDetPointRes[k][l];\r | |
1082 | if (!doLikeAliRoot) fDetPointRes[k][l] = RIDICULOUS;\r | |
1083 | detPointZResForw[k][l] = fDetPointZRes[k][l];\r | |
1084 | if (!doLikeAliRoot) fDetPointZRes[k][l] = RIDICULOUS;\r | |
1085 | }\r | |
1086 | }\r | |
1087 | \r | |
1088 | // find first "active layer" - start tracking at the first active layer \r | |
1089 | Int_t firstActiveLayer = 0;\r | |
1090 | for (Int_t j=0; j<fLayers.GetEntries(); j++) { \r | |
1091 | layer = (CylLayerK*)fLayers.At(j);\r | |
1092 | if (!(layer->isDead)) { // is alive\r | |
1093 | firstActiveLayer = j;\r | |
1094 | break;\r | |
1095 | }\r | |
1096 | }\r | |
1097 | probTr.Rotate(0);\r | |
1098 | for (Int_t j=firstActiveLayer; j<(fLayers.GetEntries()); j++) { // Layer loop\r | |
1099 | \r | |
1100 | layer = (CylLayerK*)fLayers.At(j);\r | |
1101 | // CylLayerK *nextlayer = (CylLayerK*)fLayers.At(j+1);\r | |
1102 | \r | |
1103 | TString name(layer->GetName());\r | |
1104 | Bool_t isVertex = name.Contains("vertex");\r | |
c218d480 | 1105 | if (!PropagateToR(&probTr, layer->radius,bGauss,1)) exit(1);\r |
1106 | //if (!probTr.PropagateTo(last->radius,bGauss)) exit(1);\r | |
caadc8fb | 1107 | if (!isVertex) {\r |
1108 | // rotate to frame with X axis normal to the surface\r | |
1109 | double pos[3];\r | |
1110 | probTr.GetXYZ(pos); // lab position\r | |
1111 | double phi = TMath::ATan2(pos[1],pos[0]);\r | |
1112 | if ( TMath::Abs(TMath::Abs(phi)-TMath::Pi()/2)<1e-3) phi = 0;//TMath::Sign(TMath::Pi()/2 - 1e-3,phi);\r | |
1113 | if (!probTr.Rotate(phi)) {\r | |
c218d480 | 1114 | printf("Failed to rotate to the frame (phi:%+.3f)of layer at %.2f at XYZ: %+.3f %+.3f %+.3f (pt=%+.3f)\n",\r |
1115 | phi,layer->radius,pos[0],pos[1],pos[2],pt);\r | |
1116 | \r | |
caadc8fb | 1117 | probTr.Print();\r |
1118 | exit(1);\r | |
1119 | }\r | |
1120 | }\r | |
1121 | // \r | |
1122 | fDetPointRes [j][i] = TMath::Sqrt( probTr.GetSigmaY2() )/100 ; // result in meters\r | |
1123 | fDetPointZRes[j][i] = TMath::Sqrt( probTr.GetSigmaZ2() )/100 ; // result in meters\r | |
1124 | //\r | |
1125 | //printf("<< L%d r:%e sy: %e sz: %e\n",j,layer->radius,fDetPointRes[j][i],fDetPointZRes[j][i]);\r | |
1126 | // create fake measurement with the errors assigned to the layer\r | |
1127 | // account for the measurement there\r | |
1128 | if (isVertex) continue;\r | |
1129 | double meas[2] = {probTr.GetY(),probTr.GetZ()};\r | |
1130 | double measErr2[3] = {layer->phiRes*layer->phiRes,0,layer->zRes*layer->zRes};\r | |
1131 | //\r | |
1132 | if (!probTr.Update(meas,measErr2)) {\r | |
1133 | printf("Failed to update the track by measurement {%.3f,%3f} err {%.3e %.3e %.3e}\n",\r | |
1134 | meas[0],meas[1], measErr2[0],measErr2[1],measErr2[2]);\r | |
1135 | probTr.Print();\r | |
1136 | exit(1);\r | |
1137 | }\r | |
1138 | // correct for materials of this layer\r | |
1139 | // note: if apart from MS we want also e.loss correction, the density*length should be provided as 2nd param\r | |
1140 | if (!probTr.CorrectForMeanMaterial(layer->radL, 0, mass[massloop] , kTRUE)) {\r | |
1141 | printf("Failed to apply material correction, X/X0=%.4f\n",layer->radL);\r | |
1142 | probTr.Print();\r | |
1143 | exit(1);\r | |
1144 | }\r | |
1145 | }\r | |
1146 | \r | |
1147 | // values below NOT REALIABLE -> they do not point to the vertex but outwards !!!!!!!\r | |
1148 | // ++++++++++++++\r | |
1149 | // also update the values for the track position ??????\r | |
1150 | /*\r | |
1151 | // Pattern recognition is done .... save values like vertex resolution etc.\r | |
1152 | \r | |
1153 | // Invert the Matrix to recover the convariance matrix\r | |
1154 | mIstar.Invert() ;\r | |
1155 | // Convert the Convariance matrix parameters into physical quantities\r | |
1156 | // The results are propogated to the previous point but *do not* include the measurement at that point.\r | |
1157 | deltaPoverP = TMath::Sqrt( mIstar(4,4) ) * momentum / 0.3 ; // Absolute magnitude so ignore charge\r | |
1158 | fMomentumRes[i] = 100.* TMath::Abs( deltaPoverP ) ; // results in percent\r | |
1159 | fResolutionRPhi[i] = TMath::Sqrt( mIstar(0,0) ) * 1.e6 ; // result in microns\r | |
1160 | fResolutionZ[i] = TMath::Sqrt( mIstar(1,1) ) * 1.e6 ; // result in microns\r | |
1161 | // equivalent[i] = TMath::Sqrt(fResolutionRPhi[i]*fResolutionZ[i]) ; // Equivalent circular radius\r | |
1162 | */\r | |
c218d480 | 1163 | \r |
1164 | // deltaPoverP = TMath::Sqrt(probTr.GetSigma1Pt2())/TMath::Abs(probTr.GetSigned1Pt());\r | |
1165 | // fMomentumRes[i] = 100.* TMath::Abs( deltaPoverP ); // results in percent\r | |
1166 | \r | |
caadc8fb | 1167 | // Weighted combination of the forward and backward estimates\r |
1168 | if (!doLikeAliRoot) {\r | |
1169 | for (Int_t j=(fLayers.GetEntries()-1); j>=0; j--) { \r | |
c218d480 | 1170 | fDetPointRes[j][i] = detPointResForw[j][i]*fDetPointRes[j][i]/TMath::Sqrt((detPointResForw[j][i]*detPointResForw[j][i]) + (fDetPointRes[j][i]*fDetPointRes[j][i])); \r |
1171 | fDetPointZRes[j][i] = detPointZResForw[j][i]*fDetPointZRes[j][i]/TMath::Sqrt((detPointZResForw[j][i]*detPointZResForw[j][i]) + (fDetPointZRes[j][i]*fDetPointZRes[j][i])); \r | |
caadc8fb | 1172 | }\r |
1173 | }\r | |
1174 | // Set Detector-Efficiency Storage area to unity\r | |
1175 | fEfficiency[massloop][i] = 1.0 ;\r | |
1176 | \r | |
1177 | // print out and efficiency calculation\r | |
d4945a3b | 1178 | iLayActive=0;\r |
caadc8fb | 1179 | for (Int_t j=(fLayers.GetEntries()-1); j>=0; j--) { // Layer loop\r |
1180 | \r | |
1181 | layer = (CylLayerK*)fLayers.At(j);\r | |
1182 | \r | |
1183 | // Convert to Meters, Tesla, and GeV\r | |
1184 | Float_t radius = layer->radius /100;\r | |
1185 | Float_t phiRes = layer->phiRes /100;\r | |
1186 | Float_t zRes = layer->zRes /100;\r | |
1187 | Float_t radLength = layer->radL;\r | |
1188 | Float_t leff = layer->eff;\r | |
1189 | Bool_t isDead = layer->isDead;\r | |
1190 | \r | |
1191 | \r | |
c218d480 | 1192 | Double_t layerEfficiency = 0;\r |
caadc8fb | 1193 | if ( (!isDead && radLength >0) ) { \r |
1194 | Double_t rphiError = TMath::Sqrt( fDetPointRes[j][i] * fDetPointRes [j][i] + \r | |
1195 | phiRes * phiRes ) * 100. ; // work in cm\r | |
1196 | Double_t zError = TMath::Sqrt( fDetPointZRes[j][i] * fDetPointZRes[j][i] +\r | |
1197 | zRes * zRes ) * 100. ; // work in cm\r | |
caadc8fb | 1198 | if ( EfficiencySearchFlag == 0 )\r |
1199 | layerEfficiency = ProbGoodHit( radius*100, rphiError , zError ) ;\r | |
1200 | else if ( EfficiencySearchFlag == 1 )\r | |
1201 | layerEfficiency = ProbGoodChiSqHit( radius*100, rphiError , zError ) ;\r | |
1202 | else if ( EfficiencySearchFlag == 2 )\r | |
1203 | layerEfficiency = ProbGoodChiSqPlusConfHit( radius*100,leff, rphiError , zError ) ;\r | |
d4945a3b | 1204 | \r |
caadc8fb | 1205 | TString name(layer->GetName());\r |
d4945a3b | 1206 | if (!name.Contains("tpc")) {\r |
1207 | probLay(2,iLayActive)= layerEfficiency ; // Pcorr\r | |
1208 | probLay(0,iLayActive)= ProbNullChiSqPlusConfHit( radius*100,leff, rphiError , zError ) ; // Pnull\r | |
1209 | probLay(1,iLayActive)= 1 - probLay(2,iLayActive) - probLay(0,iLayActive); // Pfake\r | |
1210 | iLayActive++; \r | |
1211 | }\r | |
caadc8fb | 1212 | if (name.Contains("tpc") && (!name.Contains("tpc_0")) ) continue;\r |
1213 | \r | |
1214 | if (print == 1 && fTransMomenta[i] >= meanPt && massloop == 2 && printOnce == 1) {\r | |
1215 | \r | |
1216 | \r | |
1217 | printf("%s:\t%5.1f %9.4f %10.0f %11.0f %7.0f %8.0f %8.2f ",\r | |
1218 | layer->GetName(), radius*100, radLength, \r | |
1219 | fDetPointRes[j][i]*1.e6, fDetPointZRes[j][i]*1.e6,\r | |
1220 | phiRes*1.e6, zRes*1.e6,\r | |
1221 | HitDensity(radius*100)) ;\r | |
1222 | if (!name.Contains("tpc")) \r | |
1223 | printf("%10.3f\n", layerEfficiency);\r | |
1224 | else\r | |
1225 | printf(" - \n");\r | |
1226 | }\r | |
1227 | \r | |
c218d480 | 1228 | if (massloop==2 && j==kDetLayer) { // copy layer specific performances\r |
1229 | fEfficProlongLay[i] = layerEfficiency;\r | |
1230 | }\r | |
1231 | \r | |
1232 | if (!name.Contains("tpc") && !name.Contains("trd")) fEfficiency[massloop][i] *= layerEfficiency;\r | |
1233 | \r | |
1234 | \r | |
1235 | \r | |
caadc8fb | 1236 | }\r |
d4945a3b | 1237 | if (fAtLeastCorr != -1) {\r |
1238 | // Calculate probabilities from Kombinatorics tree ...\r | |
1239 | Double_t *probs = PrepareEffFakeKombinations(&probKomb, &probLay);\r | |
1240 | fEfficiency[massloop][i] = probs[0]; // efficiency\r | |
1241 | fFake[massloop][i] = probs[1]; // fake\r | |
1242 | }\r | |
caadc8fb | 1243 | }\r |
1244 | if (print == 1 && fTransMomenta[i] >= meanPt && massloop == 2 && printOnce == 1) {\r | |
1245 | printOnce = 0 ;\r | |
1246 | printf("\n") ;\r | |
1247 | }\r | |
1248 | } \r | |
caadc8fb | 1249 | \r |
c218d480 | 1250 | if (massloop==2) { // copy layer specific performances\r |
1251 | fResolutionRPhiLay[i] = fDetPointRes[kDetLayer][i];\r | |
1252 | fResolutionZLay[i] = fDetPointZRes[kDetLayer][i];\r | |
1253 | }\r | |
1254 | \r | |
1255 | } // pt loop\r | |
1256 | \r | |
caadc8fb | 1257 | \r |
1258 | \r | |
c218d480 | 1259 | } // mass loop\r |
1260 | \r | |
1261 | probTr.SetUseLogTermMS(kFALSE); // Reset of MS term usage to avoid problems since its static\r | |
1262 | \r | |
1263 | \r | |
1264 | \r | |
caadc8fb | 1265 | }\r |
1266 | \r | |
1267 | \r | |
1268 | TGraph * DetectorK::GetGraphMomentumResolution(Int_t color, Int_t linewidth) {\r | |
1269 | //\r | |
1270 | // returns the momentum resolution \r | |
1271 | //\r | |
1272 | \r | |
d4945a3b | 1273 | TGraph *graph = new TGraph(kNptBins, fTransMomenta, fMomentumRes);\r |
caadc8fb | 1274 | graph->SetTitle("Momentum Resolution .vs. Pt" ) ;\r |
1275 | // graph->GetXaxis()->SetRangeUser(0.,5.0) ;\r | |
1276 | graph->GetXaxis()->SetTitle("Transverse Momentum (GeV/c)") ;\r | |
1277 | graph->GetXaxis()->CenterTitle();\r | |
1278 | graph->GetXaxis()->SetNoExponent(1) ;\r | |
1279 | graph->GetXaxis()->SetMoreLogLabels(1) ;\r | |
1280 | graph->GetYaxis()->SetTitle("Momentum Resolution (%)") ;\r | |
1281 | graph->GetYaxis()->CenterTitle();\r | |
1282 | \r | |
c218d480 | 1283 | graph->SetMaximum(20);\r |
1284 | graph->SetMinimum(0.1);\r | |
caadc8fb | 1285 | graph->SetLineColor(color);\r |
1286 | graph->SetMarkerColor(color);\r | |
1287 | graph->SetLineWidth(linewidth);\r | |
1288 | \r | |
1289 | return graph;\r | |
1290 | \r | |
1291 | }\r | |
1292 | \r | |
1293 | TGraph * DetectorK::GetGraphPointingResolution(Int_t axis, Int_t color, Int_t linewidth) {\r | |
1294 | \r | |
1295 | // Returns the pointing resolution\r | |
1296 | // axis = 0 ... rphi pointing resolution\r | |
1297 | // axis = 1 ... z pointing resolution\r | |
1298 | //\r | |
1299 | \r | |
1300 | TGraph * graph = 0;\r | |
1301 | \r | |
1302 | if (axis==0) {\r | |
d4945a3b | 1303 | graph = new TGraph ( kNptBins, fTransMomenta, fResolutionRPhi ) ;\r |
caadc8fb | 1304 | graph->SetTitle("R-#phi Pointing Resolution .vs. Pt" ) ;\r |
1305 | graph->GetYaxis()->SetTitle("R-#phi Pointing Resolution (#mum)") ;\r | |
1306 | } else {\r | |
d4945a3b | 1307 | graph = new TGraph ( kNptBins, fTransMomenta, fResolutionZ ) ;\r |
caadc8fb | 1308 | graph->SetTitle("Z Pointing Resolution .vs. Pt" ) ;\r |
1309 | graph->GetYaxis()->SetTitle("Z Pointing Resolution (#mum)") ;\r | |
1310 | }\r | |
1311 | \r | |
1312 | graph->SetMinimum(1) ;\r | |
1313 | graph->SetMaximum(300.1) ;\r | |
1314 | graph->GetXaxis()->SetTitle("Transverse Momentum (GeV/c)") ;\r | |
1315 | graph->GetXaxis()->CenterTitle();\r | |
1316 | graph->GetXaxis()->SetNoExponent(1) ;\r | |
1317 | graph->GetXaxis()->SetMoreLogLabels(1) ;\r | |
1318 | graph->GetYaxis()->CenterTitle();\r | |
1319 | \r | |
1320 | graph->SetLineWidth(linewidth);\r | |
1321 | graph->SetLineColor(color);\r | |
1322 | graph->SetMarkerColor(color);\r | |
1323 | \r | |
1324 | return graph;\r | |
1325 | \r | |
1326 | }\r | |
1327 | \r | |
c218d480 | 1328 | TGraph * DetectorK::GetGraphLayerInfo(Int_t plot, Int_t color, Int_t linewidth) {\r |
1329 | \r | |
1330 | // Returns the pointing resolution\r | |
1331 | // plot = 0 ... rphi pointing resolution\r | |
1332 | // plot = 1 ... z pointing resolution\r | |
1333 | // plot = 2 ... prolongation efficiency (outwards)\r | |
1334 | //\r | |
1335 | \r | |
1336 | \r | |
1337 | Double_t fDet[kNptBins]; \r | |
1338 | for ( Int_t i = 0 ; i < kNptBins ; i++ ) { // pt loop\r | |
1339 | if (plot==0) \r | |
1340 | fDet[i] = fResolutionRPhiLay[i]*1e6; // in microns\r | |
1341 | else if (plot==1)\r | |
1342 | fDet[i] = fResolutionZLay[i]*1e6; // in microns\r | |
1343 | else \r | |
1344 | fDet[i] = fEfficProlongLay[i]*100; // in percent\r | |
1345 | }\r | |
1346 | \r | |
1347 | CylLayerK *l = (CylLayerK*) fLayers.At(kDetLayer);\r | |
1348 | TGraph * graph = 0;\r | |
1349 | graph = new TGraph ( kNptBins, fTransMomenta, fDet ) ;\r | |
1350 | if (plot==0) {\r | |
1351 | graph->SetTitle(Form("R-#phi Pointing Resolution onto layer \"%s\"",(char*)l->GetName()) );\r | |
1352 | graph->GetYaxis()->SetTitle("R-#phi Pointing Resolution (#mum)") ;\r | |
1353 | } else if (plot==1){\r | |
1354 | graph->SetTitle(Form("Z Pointing Resolution onto layer \"%s\"",(char*)l->GetName()) ) ;\r | |
1355 | graph->GetYaxis()->SetTitle("Z Pointing Resolution (#mum)") ;\r | |
1356 | } else {\r | |
1357 | graph->SetTitle(Form("Prolongation efficiency onto layer \"%s\"",(char*)l->GetName()) ) ;\r | |
1358 | graph->GetYaxis()->SetTitle("Prolongation efficiency (%)") ;\r | |
1359 | graph->SetMinimum(0);\r | |
1360 | graph->SetMaximum(100);\r | |
1361 | }\r | |
1362 | \r | |
1363 | graph->GetXaxis()->SetTitle("Transverse Momentum (GeV/c)") ;\r | |
1364 | graph->GetXaxis()->CenterTitle();\r | |
1365 | graph->GetXaxis()->SetNoExponent(1) ;\r | |
1366 | graph->GetXaxis()->SetMoreLogLabels(1) ;\r | |
1367 | graph->GetYaxis()->CenterTitle();\r | |
1368 | \r | |
1369 | graph->SetLineWidth(linewidth);\r | |
1370 | graph->SetLineColor(color);\r | |
1371 | graph->SetMarkerColor(color);\r | |
1372 | \r | |
1373 | return graph;\r | |
1374 | \r | |
1375 | }\r | |
1376 | \r | |
1377 | \r | |
caadc8fb | 1378 | \r |
1379 | TGraph * DetectorK::GetGraphPointingResolutionTeleEqu(Int_t axis,Int_t color, Int_t linewidth) {\r | |
1380 | //\r | |
1381 | // returns the Pointing resolution (accoring to Telescope equation)\r | |
1382 | // axis =0 ... in rphi\r | |
1383 | // axis =1 ... in z\r | |
1384 | //\r | |
1385 | \r | |
d4945a3b | 1386 | Double_t resolution[kNptBins];\r |
caadc8fb | 1387 | \r |
1388 | Double_t layerResolution[2];\r | |
1389 | Double_t layerRadius[2];\r | |
1390 | Double_t layerThickness[2];\r | |
1391 | \r | |
1392 | Int_t count =0; // search two first active layers\r | |
1393 | printf("Telescope equation for layers: ");\r | |
1394 | for (Int_t i = 0; i<fLayers.GetEntries(); i++) {\r | |
1395 | CylLayerK *l = (CylLayerK*)fLayers.At(i);\r | |
1396 | if (!l->isDead && l->radius>0) {\r | |
1397 | layerRadius[count] = l->radius;\r | |
1398 | layerThickness[count] = l->radL;\r | |
1399 | if (axis==0) {\r | |
1400 | layerResolution[count] = l->phiRes;\r | |
1401 | } else {\r | |
1402 | layerResolution[count] = l->zRes;\r | |
1403 | }\r | |
1404 | printf("%s, ",l->GetName());\r | |
1405 | count++;\r | |
1406 | }\r | |
1407 | if (count>=2) break; \r | |
1408 | }\r | |
1409 | printf("\n");\r | |
1410 | \r | |
1411 | Double_t pt, momentum, thickness,aMCS ;\r | |
1412 | Double_t lambda = TMath::Pi()/2.0 - 2.0*TMath::ATan(TMath::Exp(-1*fAvgRapidity)); \r | |
1413 | \r | |
d4945a3b | 1414 | for ( Int_t i = 0 ; i < kNptBins ; i++ ) { \r |
caadc8fb | 1415 | // Reference data as if first two layers were acting all alone \r |
1416 | pt = fTransMomenta[i] ;\r | |
1417 | momentum = pt / TMath::Cos(lambda) ; // Total momentum\r | |
1418 | resolution[i] = layerResolution[0]*layerResolution[0]*layerRadius[1]*layerRadius[1] \r | |
1419 | + layerResolution[1]*layerResolution[1]*layerRadius[0]*layerRadius[0] ;\r | |
1420 | resolution[i] /= ( layerRadius[1] - layerRadius[0] ) * ( layerRadius[1] - layerRadius[0] ) ;\r | |
1421 | thickness = layerThickness[0] / TMath::Sin(TMath::Pi()/2 - lambda) ;\r | |
1422 | aMCS = ThetaMCS(fParticleMass, thickness, momentum) ;\r | |
1423 | resolution[i] += layerRadius[0]*layerRadius[0]*aMCS*aMCS ;\r | |
1424 | resolution[i] = TMath::Sqrt(resolution[i]) * 10000.0 ; // result in microns\r | |
1425 | }\r | |
1426 | \r | |
1427 | \r | |
1428 | \r | |
d4945a3b | 1429 | TGraph* graph = new TGraph ( kNptBins, fTransMomenta, resolution ) ;\r |
caadc8fb | 1430 | \r |
1431 | if (axis==0) {\r | |
1432 | graph->SetTitle("RPhi Pointing Resolution .vs. Pt" ) ;\r | |
1433 | graph->GetYaxis()->SetTitle("RPhi Pointing Resolution (#mum) ") ;\r | |
1434 | } else {\r | |
1435 | graph->SetTitle("Z Pointing Resolution .vs. Pt" ) ;\r | |
1436 | graph->GetYaxis()->SetTitle("Z Pointing Resolution (#mum) ") ;\r | |
1437 | }\r | |
1438 | graph->SetMinimum(1) ;\r | |
1439 | graph->SetMaximum(300.1) ;\r | |
1440 | graph->GetXaxis()->SetTitle("Transverse Momentum (GeV/c)") ;\r | |
1441 | graph->GetXaxis()->CenterTitle();\r | |
1442 | graph->GetXaxis()->SetNoExponent(1) ;\r | |
1443 | graph->GetXaxis()->SetMoreLogLabels(1) ;\r | |
1444 | graph->GetYaxis()->CenterTitle();\r | |
1445 | \r | |
1446 | graph->SetLineColor(color);\r | |
1447 | graph->SetMarkerColor(color);\r | |
1448 | graph->SetLineStyle(kDashed);\r | |
1449 | graph->SetLineWidth(linewidth);\r | |
1450 | \r | |
1451 | return graph;\r | |
1452 | \r | |
1453 | }\r | |
1454 | \r | |
1455 | TGraph * DetectorK::GetGraphRecoEfficiency(Int_t particle,Int_t color, Int_t linewidth) {\r | |
1456 | //\r | |
1457 | // particle = 0 ... choosen particle (setted particleMass)\r | |
1458 | // particle = 1 ... Pion\r | |
1459 | // particle = 2 ... Kaon\r | |
1460 | // particle = 3 ... D0\r | |
1461 | //\r | |
1462 | Double_t lambda = TMath::Pi()/2.0 - 2.0*TMath::ATan(TMath::Exp(-1*fAvgRapidity)); \r | |
1463 | \r | |
d4945a3b | 1464 | Double_t particleEfficiency[kNptBins]; // with chosen particle mass\r |
1465 | Double_t kaonEfficiency[kNptBins], pionEfficiency[kNptBins], d0efficiency[kNptBins]; \r | |
caadc8fb | 1466 | Double_t partEfficiency[2][400];\r |
1467 | \r | |
1468 | if (particle != 0) {\r | |
1469 | // resulting Pion and Kaon efficiency scaled with overall efficiency\r | |
1470 | Double_t doNotDecayFactor;\r | |
1471 | for ( Int_t massloop = 0 ; massloop < 2 ; massloop++) { //0-pion, 1-kaon\r | |
1472 | \r | |
d4945a3b | 1473 | for ( Int_t j = 0 ; j < kNptBins ; j++ ) { \r |
caadc8fb | 1474 | // JT Test Let the kaon decay. If it decays inside the TPC ... then it is gone; for all decays < 130 cm.\r |
1475 | Double_t momentum = fTransMomenta[j] / TMath::Cos(lambda) ; // Total momentum at average rapidity\r | |
1476 | if ( massloop == 1 ) { // KAON\r | |
1477 | doNotDecayFactor = TMath::Exp(-130/(371*momentum/KaonMass)) ; // Decay length for kaon is 371 cm.\r | |
1478 | kaonEfficiency[j] = fEfficiency[1][j] * AcceptanceOfTpcAndSi*doNotDecayFactor ;\r | |
1479 | } else { // PION\r | |
1480 | doNotDecayFactor = 1.0 ;\r | |
1481 | pionEfficiency[j] = fEfficiency[0][j] * AcceptanceOfTpcAndSi*doNotDecayFactor ; \r | |
1482 | }\r | |
1483 | partEfficiency[0][j] = pionEfficiency[j];\r | |
1484 | partEfficiency[1][j] = kaonEfficiency[j];\r | |
1485 | } \r | |
1486 | }\r | |
1487 | \r | |
1488 | // resulting estimate of the D0 efficiency\r | |
d4945a3b | 1489 | for ( Int_t j = 0 ; j < kNptBins ; j++ ) {\r |
caadc8fb | 1490 | d0efficiency[j] = D0IntegratedEfficiency(fTransMomenta[j],partEfficiency);\r |
1491 | }\r | |
1492 | } else { \r | |
d4945a3b | 1493 | for ( Int_t j = 0 ; j < kNptBins ; j++ ) { \r |
caadc8fb | 1494 | particleEfficiency[j] = fEfficiency[2][j]* AcceptanceOfTpcAndSi;\r |
1495 | // NOTE: Decay factor (see kaon) should be included to be realiable\r | |
1496 | }\r | |
1497 | }\r | |
1498 | \r | |
d4945a3b | 1499 | for ( Int_t j = 0 ; j < kNptBins ; j++ ) { \r |
caadc8fb | 1500 | pionEfficiency[j] *= 100;\r |
1501 | kaonEfficiency[j] *= 100;\r | |
1502 | d0efficiency[j] *= 100;\r | |
1503 | particleEfficiency[j] *= 100;\r | |
1504 | }\r | |
1505 | \r | |
1506 | TGraph * graph = 0;\r | |
1507 | if (particle==0) {\r | |
d4945a3b | 1508 | graph = new TGraph ( kNptBins, fTransMomenta, particleEfficiency ) ; // choosen mass\r |
caadc8fb | 1509 | graph->SetLineWidth(1);\r |
1510 | } else if (particle==1) {\r | |
d4945a3b | 1511 | graph = new TGraph ( kNptBins, fTransMomenta, pionEfficiency ) ;\r |
caadc8fb | 1512 | graph->SetLineWidth(1);\r |
1513 | } else if (particle ==2) {\r | |
d4945a3b | 1514 | graph = new TGraph ( kNptBins, fTransMomenta, kaonEfficiency ) ;\r |
caadc8fb | 1515 | graph->SetLineWidth(1);\r |
1516 | } else if (particle ==3) {\r | |
d4945a3b | 1517 | graph = new TGraph ( kNptBins, fTransMomenta, d0efficiency ) ;\r |
caadc8fb | 1518 | graph->SetLineStyle(kDashed);\r |
1519 | } else \r | |
1520 | return 0;\r | |
1521 | \r | |
1522 | graph->GetXaxis()->SetTitle("Transverse Momentum (GeV/c)") ;\r | |
1523 | graph->GetXaxis()->CenterTitle();\r | |
1524 | graph->GetXaxis()->SetNoExponent(1) ;\r | |
1525 | graph->GetXaxis()->SetMoreLogLabels(1) ;\r | |
1526 | graph->GetYaxis()->SetTitle("Efficiency (%)") ;\r | |
1527 | graph->GetYaxis()->CenterTitle();\r | |
1528 | \r | |
1529 | graph->SetMinimum(0.01) ; \r | |
1530 | graph->SetMaximum(100) ; \r | |
1531 | \r | |
1532 | graph->SetLineColor(color);\r | |
1533 | graph->SetMarkerColor(color);\r | |
1534 | graph->SetLineWidth(linewidth);\r | |
1535 | \r | |
1536 | return graph;\r | |
1537 | }\r | |
1538 | \r | |
d4945a3b | 1539 | TGraph * DetectorK::GetGraphRecoFakes(Int_t particle,Int_t color, Int_t linewidth) {\r |
1540 | //\r | |
1541 | // particle = 0 ... choosen particle (setted particleMass)\r | |
1542 | // particle = 1 ... Pion\r | |
1543 | // particle = 2 ... Kaon\r | |
1544 | //\r | |
1545 | \r | |
1546 | Double_t lambda = TMath::Pi()/2.0 - 2.0*TMath::ATan(TMath::Exp(-1*fAvgRapidity)); \r | |
1547 | \r | |
1548 | Double_t particleFake[kNptBins]; // with chosen particle mass\r | |
1549 | Double_t kaonFake[kNptBins], pionFake[kNptBins];\r | |
1550 | Double_t partFake[2][kNptBins];\r | |
1551 | \r | |
1552 | if (particle != 0) {\r | |
1553 | // resulting Pion and Kaon efficiency scaled with overall efficiency\r | |
1554 | Double_t doNotDecayFactor;\r | |
1555 | for ( Int_t massloop = 0 ; massloop < 2 ; massloop++) { //0-pion, 1-kaon\r | |
1556 | \r | |
1557 | for ( Int_t j = 0 ; j < kNptBins ; j++ ) { \r | |
1558 | // JT Test Let the kaon decay. If it decays inside the TPC ... then it is gone; for all decays < 130 cm.\r | |
1559 | Double_t momentum = fTransMomenta[j] / TMath::Cos(lambda) ; // Total momentum at average rapidity\r | |
1560 | if ( massloop == 1 ) { // KAON\r | |
1561 | doNotDecayFactor = TMath::Exp(-130/(371*momentum/KaonMass)) ; // Decay length for kaon is 371 cm.\r | |
1562 | kaonFake[j] = fFake[1][j] /( doNotDecayFactor) ;\r | |
1563 | } else { // PION\r | |
1564 | pionFake[j] = fFake[0][j] ; \r | |
1565 | }\r | |
1566 | partFake[0][j] = pionFake[j];\r | |
1567 | partFake[1][j] = kaonFake[j];\r | |
1568 | } \r | |
1569 | }\r | |
1570 | \r | |
1571 | } else { \r | |
1572 | for ( Int_t j = 0 ; j < kNptBins ; j++ ) { \r | |
1573 | particleFake[j] = fFake[2][j];\r | |
1574 | // NOTE: Decay factor (see kaon) should be included to be realiable\r | |
1575 | }\r | |
1576 | }\r | |
1577 | \r | |
1578 | for ( Int_t j = 0 ; j < kNptBins ; j++ ) { \r | |
1579 | pionFake[j] *= 100;\r | |
1580 | kaonFake[j] *= 100;\r | |
1581 | particleFake[j] *= 100;\r | |
1582 | }\r | |
1583 | \r | |
1584 | TGraph * graph = 0;\r | |
1585 | if (particle==0) {\r | |
1586 | graph = new TGraph ( kNptBins, fTransMomenta, particleFake ) ; // choosen mass\r | |
1587 | graph->SetLineWidth(1);\r | |
1588 | } else if (particle==1) {\r | |
1589 | graph = new TGraph ( kNptBins, fTransMomenta, pionFake ) ;\r | |
1590 | graph->SetLineWidth(1);\r | |
1591 | } else if (particle ==2) {\r | |
1592 | graph = new TGraph ( kNptBins, fTransMomenta, kaonFake ) ;\r | |
1593 | graph->SetLineWidth(1);\r | |
1594 | } \r | |
1595 | \r | |
1596 | graph->GetXaxis()->SetTitle("Transverse Momentum (GeV/c)") ;\r | |
1597 | graph->GetXaxis()->CenterTitle();\r | |
1598 | graph->GetXaxis()->SetNoExponent(1) ;\r | |
1599 | graph->GetXaxis()->SetMoreLogLabels(1) ;\r | |
1600 | graph->GetYaxis()->SetTitle("Fake (%)") ;\r | |
1601 | graph->GetYaxis()->CenterTitle();\r | |
1602 | \r | |
1603 | graph->SetMinimum(0.01) ; \r | |
1604 | graph->SetMaximum(100) ; \r | |
1605 | \r | |
1606 | graph->SetLineColor(color);\r | |
1607 | graph->SetMarkerColor(color);\r | |
1608 | graph->SetLineWidth(linewidth);\r | |
1609 | \r | |
1610 | return graph;\r | |
1611 | }\r | |
1612 | TGraph * DetectorK::GetGraphRecoPurity(Int_t particle,Int_t color, Int_t linewidth) {\r | |
1613 | //\r | |
1614 | // particle = 0 ... choosen particle (setted particleMass)\r | |
1615 | // particle = 1 ... Pion\r | |
1616 | // particle = 2 ... Kaon\r | |
1617 | //\r | |
1618 | \r | |
1619 | // Double_t lambda = TMath::Pi()/2.0 - 2.0*TMath::ATan(TMath::Exp(-1*fAvgRapidity)); \r | |
1620 | \r | |
1621 | Double_t particleFake[kNptBins]; // with chosen particle mass\r | |
1622 | Double_t kaonFake[kNptBins], pionFake[kNptBins];\r | |
1623 | // Double_t partFake[2][kNptBins];\r | |
1624 | \r | |
1625 | if (particle != 0) {\r | |
1626 | cout <<" not implemented"<<endl;\r | |
1627 | \r | |
1628 | } else { \r | |
1629 | for ( Int_t j = 0 ; j < kNptBins ; j++ ) { \r | |
1630 | particleFake[j] = fFake[2][j];\r | |
1631 | // NOTE: Decay factor (see kaon) should be included to be realiable\r | |
1632 | }\r | |
1633 | }\r | |
1634 | \r | |
1635 | // Get Purity\r | |
1636 | for ( Int_t j = 0 ; j < kNptBins ; j++ ) { \r | |
1637 | pionFake[j] = (1-pionFake[j])*100;\r | |
1638 | kaonFake[j] = (1-kaonFake[j])*100;\r | |
1639 | particleFake[j] = (1-particleFake[j])*100;\r | |
1640 | }\r | |
1641 | \r | |
1642 | TGraph * graph = 0;\r | |
1643 | if (particle==0) {\r | |
1644 | graph = new TGraph ( kNptBins, fTransMomenta, particleFake ) ; // choosen mass\r | |
1645 | graph->SetLineWidth(1);\r | |
1646 | } else if (particle==1) {\r | |
1647 | graph = new TGraph ( kNptBins, fTransMomenta, pionFake ) ;\r | |
1648 | graph->SetLineWidth(1);\r | |
1649 | } else if (particle ==2) {\r | |
1650 | graph = new TGraph ( kNptBins, fTransMomenta, kaonFake ) ;\r | |
1651 | graph->SetLineWidth(1);\r | |
1652 | } \r | |
1653 | \r | |
1654 | graph->GetXaxis()->SetTitle("Transverse Momentum (GeV/c)") ;\r | |
1655 | graph->GetXaxis()->CenterTitle();\r | |
1656 | graph->GetXaxis()->SetNoExponent(1) ;\r | |
1657 | graph->GetXaxis()->SetMoreLogLabels(1) ;\r | |
1658 | graph->GetYaxis()->SetTitle("Purity (%)") ;\r | |
1659 | graph->GetYaxis()->CenterTitle();\r | |
1660 | \r | |
1661 | graph->SetMinimum(0.01) ; \r | |
1662 | graph->SetMaximum(100) ; \r | |
1663 | \r | |
1664 | graph->SetLineColor(color);\r | |
1665 | graph->SetMarkerColor(color);\r | |
1666 | graph->SetLineWidth(linewidth);\r | |
1667 | \r | |
1668 | return graph;\r | |
1669 | }\r | |
1670 | \r | |
caadc8fb | 1671 | \r |
1672 | TGraph* DetectorK::GetGraphImpactParam(Int_t mode, Int_t axis, Int_t color, Int_t linewidth) {\r | |
1673 | //\r | |
1674 | // returns the Impact Parameter d0 (convolution of pointing resolution and vtx resolution)\r | |
1675 | // mode 0: impact parameter (convolution of pointing and vertex resolution)\r | |
1676 | // mode 1: pointing resolution\r | |
1677 | // mode 2: vtx resolution \r | |
1678 | \r | |
1679 | \r | |
1680 | TGraph *graph = new TGraph();\r | |
1681 | \r | |
1682 | // TFormula vtxResRPhi("vtxRes","50-2*x"); // 50 microns at pt=0, 15 microns at pt =20 ?\r | |
1683 | TFormula vtxResRPhi("vtxRes","35/(x+1)+10"); // \r | |
1684 | TFormula vtxResZ("vtxResZ","600/(x+6)+10"); // \r | |
1685 | \r | |
1686 | TGraph *trackRes = GetGraphPointingResolution(axis,1);\r | |
1687 | Double_t *pt = trackRes->GetX();\r | |
1688 | Double_t *trRes = trackRes->GetY();\r | |
1689 | for (Int_t ip =0; ip<trackRes->GetN(); ip++) {\r | |
1690 | Double_t vtxRes = 0;\r | |
1691 | if (axis==0) \r | |
1692 | vtxRes = vtxResRPhi.Eval(pt[ip]);\r | |
1693 | else \r | |
1694 | vtxRes = vtxResZ.Eval(pt[ip]);\r | |
1695 | \r | |
1696 | if (mode==0)\r | |
1697 | graph->SetPoint(ip,pt[ip],TMath::Sqrt(vtxRes*vtxRes+trRes[ip]*trRes[ip]));\r | |
1698 | else if (mode ==1)\r | |
1699 | graph->SetPoint(ip,pt[ip],trRes[ip]);\r | |
1700 | else\r | |
1701 | graph->SetPoint(ip,pt[ip],vtxRes);\r | |
1702 | }\r | |
1703 | \r | |
1704 | graph->SetTitle("d_{0} r#phi resolution .vs. Pt" ) ;\r | |
1705 | graph->GetYaxis()->SetTitle("d_{0} r#phi resolution (#mum)") ;\r | |
1706 | \r | |
1707 | graph->SetMinimum(1) ;\r | |
1708 | graph->SetMaximum(300.1) ;\r | |
1709 | graph->GetXaxis()->SetTitle("Transverse Momentum (GeV/c)") ;\r | |
1710 | graph->GetXaxis()->CenterTitle();\r | |
1711 | graph->GetXaxis()->SetNoExponent(1) ;\r | |
1712 | graph->GetXaxis()->SetMoreLogLabels(1) ;\r | |
1713 | graph->GetYaxis()->CenterTitle();\r | |
1714 | \r | |
1715 | graph->SetLineColor(color);\r | |
1716 | graph->SetMarkerColor(color);\r | |
1717 | graph->SetLineWidth(linewidth);\r | |
1718 | \r | |
1719 | return graph;\r | |
1720 | \r | |
1721 | }\r | |
1722 | \r | |
1723 | TGraph* DetectorK::GetGraph(Int_t number, Int_t color, Int_t linewidth) {\r | |
1724 | // \r | |
1725 | // returns graph according to the number\r | |
1726 | //\r | |
1727 | switch(number) {\r | |
1728 | case 1:\r | |
1729 | return GetGraphPointingResolution(0,color, linewidth); // dr\r | |
1730 | case 2:\r | |
1731 | return GetGraphPointingResolution(1,color, linewidth); // dz\r | |
1732 | case 3:\r | |
1733 | return GetGraphPointingResolutionTeleEqu(0,color, linewidth); // dr - tele\r | |
1734 | case 4:\r | |
1735 | return GetGraphPointingResolutionTeleEqu(1,color, linewidth); // dz - tele\r | |
1736 | case 5:\r | |
1737 | return GetGraphMomentumResolution(color, linewidth); // pt resolution\r | |
1738 | case 10:\r | |
1739 | return GetGraphRecoEfficiency(0, color, linewidth); // tracked particle\r | |
1740 | case 11:\r | |
1741 | return GetGraphRecoEfficiency(1, color, linewidth); // eff. pion\r | |
1742 | case 12:\r | |
1743 | return GetGraphRecoEfficiency(2, color, linewidth); // eff. kaon\r | |
1744 | case 13: \r | |
1745 | return GetGraphRecoEfficiency(3, color, linewidth); // eff. D0\r | |
d4945a3b | 1746 | case 15:\r |
1747 | return GetGraphRecoFakes(0, color, linewidth); // Fake tracked particle\r | |
1748 | case 16:\r | |
1749 | return GetGraphRecoFakes(1, color, linewidth); // Fake pion\r | |
1750 | case 17:\r | |
1751 | return GetGraphRecoFakes(2, color, linewidth); // Fake kaon\r | |
caadc8fb | 1752 | default:\r |
1753 | printf(" Error: chosen graph number not valid\n");\r | |
1754 | }\r | |
1755 | return 0;\r | |
1756 | \r | |
1757 | }\r | |
1758 | \r | |
d4945a3b | 1759 | void DetectorK::MakeAliceAllNew(Bool_t flagTPC,Bool_t flagMon) {\r |
caadc8fb | 1760 | \r |
1761 | // All New configuration with X0 = 0.3 and resolution = 4 microns\r | |
1762 | \r | |
1763 | AddLayer((char*)"bpipe",2.0,0.0022); // beam pipe\r | |
1764 | AddLayer((char*)"vertex", 0, 0); // dummy vertex for matrix calculation\r | |
1765 | \r | |
1766 | // new ideal Pixel properties?\r | |
d4945a3b | 1767 | Double_t x0 = 0.0050;\r |
1768 | Double_t resRPhi = 0.0006;\r | |
1769 | Double_t resZ = 0.0006;\r | |
1770 | \r | |
1771 | if (flagMon) {\r | |
1772 | x0 = 0.0030;\r | |
1773 | resRPhi = 0.0004;\r | |
1774 | resZ = 0.0004;\r | |
1775 | }\r | |
caadc8fb | 1776 | \r |
1777 | AddLayer((char*)"ddd1", 2.2 , x0, resRPhi, resZ); \r | |
c218d480 | 1778 | AddLayer((char*)"ddd2", 2.8 , x0, resRPhi, resZ); \r |
1779 | AddLayer((char*)"ddd3", 3.6 , x0, resRPhi, resZ); \r | |
1780 | AddLayer((char*)"ddd4", 20.0 , x0, resRPhi, resZ); \r | |
1781 | AddLayer((char*)"ddd5", 22.0 , x0, resRPhi, resZ); \r | |
1782 | AddLayer((char*)"ddd6", 41.0 , x0, resRPhi, resZ); \r | |
caadc8fb | 1783 | AddLayer((char*)"ddd7", 43.0 , x0, resRPhi, resZ); \r |
1784 | \r | |
1785 | if (flagTPC) {\r | |
1786 | AddTPC(0.1,0.1); // TPC\r | |
1787 | }\r | |
1788 | }\r | |
1789 | \r | |
1790 | void DetectorK::MakeAliceCurrent(Int_t AlignResiduals, Bool_t flagTPC) {\r | |
1791 | \r | |
1792 | // Numbers taken from \r | |
1793 | // 2010 JINST 5 P03003 - Alignment of the ALICE Inner Tracking System with cosmic-ray tracks\r | |
1794 | // number for misalingment: private communication with Andrea Dainese\r | |
1795 | \r | |
1796 | AddLayer((char*)"bpipe",2.94,0.0022); // beam pipe\r | |
1797 | AddLayer((char*)"vertex", 0, 0); // dummy vertex for matrix calculation\r | |
1798 | AddLayer((char*)"tshld1",11.5,0.0065); // Thermal shield // 1.3% /2\r | |
1799 | AddLayer((char*)"tshld2",31.0,0.0065); // Thermal shield // 1.3% /2\r | |
1800 | \r | |
1801 | \r | |
1802 | if (flagTPC) {\r | |
1803 | AddTPC(0.1,0.1); // TPC\r | |
1804 | }\r | |
1805 | // Adding the ITS - current configuration\r | |
1806 | \r | |
1807 | if (AlignResiduals==0) {\r | |
1808 | \r | |
1809 | AddLayer((char*)"spd1", 3.9, 0.0114, 0.0012, 0.0130);\r | |
1810 | AddLayer((char*)"spd2", 7.6, 0.0114, 0.0012, 0.0130);\r | |
1811 | AddLayer((char*)"sdd1",15.0, 0.0113, 0.0035, 0.0025);\r | |
1812 | AddLayer((char*)"sdd2",23.9, 0.0126, 0.0035, 0.0025);\r | |
1813 | AddLayer((char*)"ssd1",38.0, 0.0083, 0.0020, 0.0830);\r | |
1814 | AddLayer((char*)"ssd2",43.0, 0.0086, 0.0020, 0.0830);\r | |
1815 | \r | |
1816 | } else if (AlignResiduals==1) {\r | |
1817 | \r | |
1818 | // tracking errors ...\r | |
1819 | // (Additional systematic errors due to misalignments) ... \r | |
1820 | // itsRecoParam->SetClusterMisalErrorYBOn(0.0010,0.0030,0.0500,0.0500,0.0020,0.0020); // [cm]\r | |
1821 | // itsRecoParam->SetClusterMisalErrorZBOn(0.0050,0.0050,0.0050,0.0050,0.1000,0.1000);\r | |
1822 | \r | |
1823 | AddLayer((char*)"spd1", 3.9, 0.0114, TMath::Sqrt(0.0012*0.0012+0.0010*0.0010), \r | |
1824 | TMath::Sqrt(0.0130*0.0130+0.0050*0.0050));\r | |
1825 | AddLayer((char*)"spd2", 7.6, 0.0114, TMath::Sqrt(0.0012*0.0012+0.0030*0.0030),\r | |
1826 | TMath::Sqrt(0.0130*0.0130+0.0050*0.0050));\r | |
1827 | AddLayer((char*)"sdd1",15.0, 0.0113, TMath::Sqrt(0.0035*0.0035+0.0500*0.0500),\r | |
1828 | TMath::Sqrt(0.0025*0.0025+0.0050*0.0050));\r | |
1829 | AddLayer((char*)"sdd2",23.9, 0.0126, TMath::Sqrt(0.0035*0.0035+0.0500*0.0500),\r | |
1830 | TMath::Sqrt(0.0025*0.0025+0.0050*0.0050));\r | |
1831 | AddLayer((char*)"ssd1",38.0, 0.0083, TMath::Sqrt(0.0020*0.0020+0.0020*0.0020), \r | |
1832 | TMath::Sqrt(0.0830*0.0830+0.1000*0.1000));\r | |
1833 | AddLayer((char*)"ssd2",43.0, 0.0086, TMath::Sqrt(0.0020*0.0020+0.0020*0.0020),\r | |
1834 | TMath::Sqrt(0.0830*0.0830+0.1000*0.1000)); \r | |
1835 | \r | |
1836 | } else if (AlignResiduals==2) {\r | |
1837 | \r | |
1838 | // tracking errors ... PLUS ... module misalignment\r | |
1839 | \r | |
1840 | // itsRecoParam->SetClusterMisalErrorYBOn(0.0010,0.0030,0.0500,0.0500,0.0020,0.0020); // [cm]\r | |
1841 | // itsRecoParam->SetClusterMisalErrorZBOn(0.0050,0.0050,0.0050,0.0050,0.1000,0.1000);\r | |
1842 | \r | |
1843 | // the ITS modules are misalignment with small gaussian smearings with\r | |
1844 | // sigmarphi ~ 8, 10, 10 micron in SPD, SDD, SSD\r | |
1845 | \r | |
1846 | AddLayer((char*)"spd1", 3.9, 0.0114, TMath::Sqrt(0.0012*0.0012+0.0010*0.0010+0.0008*0.0008), \r | |
1847 | TMath::Sqrt(0.0130*0.0130+0.0050*0.0050));\r | |
1848 | AddLayer((char*)"spd2", 7.6, 0.0114, TMath::Sqrt(0.0012*0.0012+0.0030*0.0030+0.0008*0.0008),\r | |
1849 | TMath::Sqrt(0.0130*0.0130+0.0050*0.0050));\r | |
1850 | AddLayer((char*)"sdd1",15.0, 0.0113, TMath::Sqrt(0.0035*0.0035+0.0500*0.0500+0.0010*0.0010),\r | |
1851 | TMath::Sqrt(0.0025*0.0025+0.0050*0.0050));\r | |
1852 | AddLayer((char*)"sdd2",23.9, 0.0126, TMath::Sqrt(0.0035*0.0035+0.0500*0.0500+0.0010*0.0010),\r | |
1853 | TMath::Sqrt(0.0025*0.0025+0.0050*0.0050));\r | |
1854 | AddLayer((char*)"ssd1",38.0, 0.0083, TMath::Sqrt(0.0020*0.0020+0.0020*0.0020+0.0010*0.0010), \r | |
1855 | TMath::Sqrt(0.0830*0.0830+0.1000*0.1000));\r | |
1856 | AddLayer((char*)"ssd2",43.0, 0.0086, TMath::Sqrt(0.0020*0.0020+0.0020*0.0020+0.0010*0.0010),\r | |
1857 | TMath::Sqrt(0.0830*0.0830+0.1000*0.1000)); \r | |
1858 | \r | |
1859 | } else {\r | |
1860 | \r | |
1861 | // the ITS modules are misalignment with small gaussian smearings with\r | |
1862 | // sigmarphi ~ 8, 10, 10 micron in SPD, SDD, SSD\r | |
1863 | // unknown in Z ????\r | |
1864 | \r | |
1865 | AddLayer((char*)"spd1", 3.9, 0.0114, TMath::Sqrt(0.0012*0.0012+0.0008*0.0008), \r | |
1866 | TMath::Sqrt(0.0130*0.0130+0.000*0.000));\r | |
1867 | AddLayer((char*)"spd2", 7.6, 0.0114, TMath::Sqrt(0.0012*0.0012+0.0008*0.0008),\r | |
1868 | TMath::Sqrt(0.0130*0.0130+0.000*0.000));\r | |
1869 | AddLayer((char*)"sdd1",15.0, 0.0113, TMath::Sqrt(0.0035*0.0035+0.0010*0.0010),\r | |
1870 | TMath::Sqrt(0.0025*0.0025+0.000*0.000));\r | |
1871 | AddLayer((char*)"sdd2",23.9, 0.0126, TMath::Sqrt(0.0035*0.0035+0.0010*0.0010),\r | |
1872 | TMath::Sqrt(0.0025*0.0025+0.000*0.000));\r | |
1873 | AddLayer((char*)"ssd1",38.0, 0.0083, TMath::Sqrt(0.0020*0.0020+0.0010*0.0010), \r | |
1874 | TMath::Sqrt(0.0830*0.0830+0.000*0.000));\r | |
1875 | AddLayer((char*)"ssd2",43.0, 0.0086, TMath::Sqrt(0.0020*0.0020+0.0010*0.0010),\r | |
1876 | TMath::Sqrt(0.0830*0.0830+0.000*0.000)); \r | |
1877 | \r | |
1878 | \r | |
1879 | }\r | |
1880 | \r | |
1881 | }\r | |
1882 | \r | |
1883 | \r | |
1884 | void DetectorK::MakeStandardPlots(Bool_t add, Int_t color, Int_t linewidth,Bool_t onlyPionEff) {\r | |
1885 | //\r | |
1886 | // Produces the standard performace plots\r | |
1887 | //\r | |
1888 | \r | |
1889 | if (!add) {\r | |
1890 | \r | |
1891 | TCanvas *c1 = new TCanvas("c1","c1");//,100,100,500,500); \r | |
1892 | c1->Divide(2,2);\r | |
1893 | \r | |
1894 | c1->cd(1); gPad->SetGridx(); gPad->SetGridy(); \r | |
1895 | gPad->SetLogx(); \r | |
1896 | TGraph *eff = GetGraphRecoEfficiency(1,color,linewidth);\r | |
1897 | eff->SetTitle("Efficiencies");\r | |
1898 | eff->Draw("AL");\r | |
1899 | if (!onlyPionEff) {\r | |
1900 | GetGraphRecoEfficiency(2,color,linewidth)->Draw("L");\r | |
1901 | GetGraphRecoEfficiency(3,color,linewidth)->Draw("L");\r | |
1902 | }\r | |
1903 | c1->cd(2); gPad->SetGridx(); gPad->SetGridy(); \r | |
1904 | gPad->SetLogy(); gPad->SetLogx(); \r | |
1905 | GetGraphMomentumResolution(color,linewidth)->Draw("AL");\r | |
1906 | \r | |
1907 | c1->cd(3); gPad->SetGridx(); gPad->SetGridy(); \r | |
1908 | gPad->SetLogx(); \r | |
1909 | GetGraphPointingResolution(0,color,linewidth)->Draw("AL");\r | |
1910 | \r | |
1911 | c1->cd(4); gPad->SetGridx(); gPad->SetGridy(); \r | |
1912 | gPad->SetLogx(); \r | |
1913 | GetGraphPointingResolution(1,color,linewidth)->Draw("AL");\r | |
1914 | \r | |
1915 | } else {\r | |
1916 | \r | |
1917 | TVirtualPad *c1 = gPad->GetMother();\r | |
1918 | \r | |
1919 | c1->cd(1);\r | |
1920 | GetGraphRecoEfficiency(1,color,linewidth)->Draw("L");\r | |
1921 | if (!onlyPionEff) {\r | |
1922 | GetGraphRecoEfficiency(2,color,linewidth)->Draw("L");\r | |
1923 | GetGraphRecoEfficiency(3,color,linewidth)->Draw("L");\r | |
1924 | }\r | |
1925 | c1->cd(2); GetGraphMomentumResolution(color,linewidth)->Draw("L");\r | |
1926 | \r | |
1927 | c1->cd(3); GetGraphPointingResolution(0,color,linewidth)->Draw("L");\r | |
1928 | \r | |
1929 | c1->cd(4); GetGraphPointingResolution(1,color,linewidth)->Draw("L");\r | |
1930 | \r | |
1931 | }\r | |
1932 | \r | |
1933 | }\r | |
1934 | \r | |
1935 | \r | |
c218d480 | 1936 | Bool_t DetectorK::GetXatLabR(AliExternalTrackParam* tr,Double_t r,Double_t &x, Double_t bz, Int_t dir)\r |
caadc8fb | 1937 | {\r |
1938 | // Get local X of the track position estimated at the radius lab radius r. \r | |
1939 | // The track curvature is accounted exactly\r | |
1940 | //\r | |
1941 | // The flag "dir" can be used to remove the ambiguity of which intersection to take (out of 2 possible)\r | |
1942 | // 0 - take the intersection closest to the current track position\r | |
1943 | // >0 - go along the track (increasing fX)\r | |
1944 | // <0 - go backward (decreasing fX)\r | |
1945 | //\r | |
1946 | // special case of R=0\r | |
1947 | if (r<kAlmost0) {x=0; return kTRUE;}\r | |
1948 | \r | |
1949 | const double* pars = tr->GetParameter();\r | |
1950 | const Double_t &fy=pars[0], &sn = pars[2];\r | |
1951 | //\r | |
1952 | double fx = tr->GetX();\r | |
1953 | double crv = tr->GetC(bz);\r | |
1954 | if (TMath::Abs(crv)<=kAlmost0) { // this is a straight track\r | |
1955 | if (TMath::Abs(sn)>=kAlmost1) { // || to Y axis\r | |
1956 | double det = (r-fx)*(r+fx);\r | |
1957 | if (det<0) return kFALSE; // does not reach raduis r\r | |
1958 | x = fx;\r | |
1959 | if (dir==0) return kTRUE;\r | |
1960 | det = TMath::Sqrt(det);\r | |
1961 | if (dir>0) { // along the track direction\r | |
1962 | if (sn>0) {if (fy>det) return kFALSE;} // track is along Y axis and above the circle\r | |
1963 | else {if (fy<-det) return kFALSE;} // track is against Y axis amd belo the circle\r | |
1964 | }\r | |
1965 | else if(dir>0) { // agains track direction\r | |
1966 | if (sn>0) {if (fy<-det) return kFALSE;} // track is along Y axis\r | |
1967 | else if (fy>det) return kFALSE; // track is against Y axis\r | |
1968 | }\r | |
1969 | }\r | |
1970 | else if (TMath::Abs(sn)<=kAlmost0) { // || to X axis\r | |
1971 | double det = (r-fy)*(r+fy);\r | |
1972 | if (det<0) return kFALSE; // does not reach raduis r\r | |
1973 | det = TMath::Sqrt(det);\r | |
1974 | if (!dir) {\r | |
1975 | x = fx>0 ? det : -det; // choose the solution requiring the smalest step\r | |
1976 | return kTRUE;\r | |
1977 | }\r | |
1978 | else if (dir>0) { // along the track direction\r | |
1979 | if (fx > det) return kFALSE; // current point is in on the right from the circle\r | |
1980 | else if (fx <-det) x = -det; // on the left\r | |
1981 | else x = det; // within the circle\r | |
1982 | }\r | |
1983 | else { // against the track direction\r | |
1984 | if (fx <-det) return kFALSE; \r | |
1985 | else if (fx > det) x = det;\r | |
1986 | else x = -det;\r | |
1987 | }\r | |
1988 | }\r | |
1989 | else { // general case of straight line\r | |
1990 | double cs = TMath::Sqrt((1-sn)*(1+sn));\r | |
1991 | double xsyc = fx*sn-fy*cs;\r | |
1992 | double det = (r-xsyc)*(r+xsyc);\r | |
1993 | if (det<0) return kFALSE; // does not reach raduis r\r | |
1994 | det = TMath::Sqrt(det);\r | |
1995 | double xcys = fx*cs+fy*sn;\r | |
1996 | double t = -xcys;\r | |
1997 | if (dir==0) t += t>0 ? -det:det; // chose the solution requiring the smalest step\r | |
1998 | else if (dir>0) { // go in increasing fX direction. ( t+-det > 0)\r | |
1999 | if (t>=-det) t += -det; // take minimal step giving t>0\r | |
2000 | else return kFALSE; // both solutions have negative t\r | |
2001 | }\r | |
2002 | else { // go in increasing fx direction. (t+-det < 0)\r | |
2003 | if (t<det) t -= det; // take minimal step giving t<0\r | |
2004 | else return kFALSE; // both solutions have positive t\r | |
2005 | }\r | |
2006 | x = fx + cs*t;\r | |
2007 | }\r | |
2008 | }\r | |
2009 | else { // helix\r | |
2010 | // get center of the track circle\r | |
2011 | double tR = 1./crv; // track radius (for the moment signed)\r | |
2012 | double cs = TMath::Sqrt((1-sn)*(1+sn));\r | |
2013 | double x0 = fx - sn*tR;\r | |
2014 | double y0 = fy + cs*tR;\r | |
2015 | double r0 = TMath::Sqrt(x0*x0+y0*y0);\r | |
c218d480 | 2016 | // printf("Xc:%+e Yc:%+e tR:%e r0:%e\n",x0,y0,tR,r0);\r |
caadc8fb | 2017 | //\r |
2018 | if (r0<=kAlmost0) return kFALSE; // the track is concentric to circle\r | |
2019 | tR = TMath::Abs(tR);\r | |
2020 | double tR2r0 = tR/r0;\r | |
2021 | double g = 0.5*(r*r/(r0*tR) - tR2r0 - 1./tR2r0);\r | |
2022 | double det = (1.-g)*(1.+g);\r | |
2023 | if (det<0) return kFALSE; // does not reach raduis r\r | |
2024 | det = TMath::Sqrt(det);\r | |
2025 | //\r | |
2026 | // the intersection happens in 2 points: {x0+tR*C,y0+tR*S} \r | |
2027 | // with C=f*c0+-|s0|*det and S=f*s0-+c0 sign(s0)*det\r | |
2028 | // where s0 and c0 make direction for the circle center (=x0/r0 and y0/r0)\r | |
2029 | //\r | |
2030 | double tmp = 1.+g*tR2r0;\r | |
2031 | x = x0*tmp; \r | |
2032 | double y = y0*tmp;\r | |
2033 | if (TMath::Abs(y0)>kAlmost0) { // when y0==0 the x,y is unique\r | |
2034 | double dfx = tR2r0*TMath::Abs(y0)*det;\r | |
2035 | double dfy = tR2r0*x0*TMath::Sign(det,y0);\r | |
2036 | if (dir==0) { // chose the one which corresponds to smallest step \r | |
2037 | double delta = (x-fx)*dfx-(y-fy)*dfy; // the choice of + in C will lead to smaller step if delta<0\r | |
2038 | if (delta<0) x += dfx;\r | |
2039 | else x -= dfx;\r | |
2040 | }\r | |
2041 | else if (dir>0) { // along track direction: x must be > fx\r | |
2042 | x -= dfx; // try the smallest step (dfx is positive)\r | |
2043 | if (x<fx && (x+=dfx+dfx)<fx) return kFALSE;\r | |
2044 | }\r | |
2045 | else { // backward: x must be < fx\r | |
2046 | x += dfx; // try the smallest step (dfx is positive)\r | |
2047 | if (x>fx && (x-=dfx+dfx)>fx) return kFALSE;\r | |
2048 | }\r | |
2049 | }\r | |
2050 | else { // special case: track touching the circle just in 1 point\r | |
2051 | if ( (dir>0&&x<fx) || (dir<0&&x>fx) ) return kFALSE; \r | |
2052 | }\r | |
2053 | }\r | |
2054 | //\r | |
2055 | return kTRUE;\r | |
2056 | }\r | |
d4945a3b | 2057 | \r |
2058 | \r | |
2059 | \r | |
2060 | Double_t* DetectorK::PrepareEffFakeKombinations(TMatrixD *probKomb, TMatrixD *probLay) {\r | |
2061 | \r | |
2062 | if (!probLay) { \r | |
2063 | printf("Error: Layer tracking efficiencies not set \n");\r | |
2064 | return 0;\r | |
2065 | }\r | |
2066 | \r | |
2067 | TMatrixD &tProbKomb = *probKomb;\r | |
2068 | TMatrixD &tProbLay = *probLay;\r | |
2069 | \r | |
2070 | \r | |
2071 | // Int_t base = tProbLay.GetNcols(); // 3? null, fake, correct\r | |
2072 | Int_t nLayer = tProbKomb.GetNcols(); // nlayer? - number of ITS layers\r | |
2073 | Int_t komb = tProbKomb.GetNrows(); // 3^nlayer? - number of kombinations\r | |
2074 | \r | |
2075 | // Fill probabilities \r | |
2076 | \r | |
2077 | Double_t probEff =0;\r | |
2078 | Double_t probFake =0;\r | |
2079 | for (Int_t num=0; num<komb; num++) {\r | |
2080 | Int_t flCorr=0, flFake=0, flNull=0; \r | |
2081 | for (Int_t l=0; l<nLayer; l++) {\r | |
2082 | if (tProbKomb(num,l)==0) \r | |
2083 | flNull++;\r | |
2084 | else if (tProbKomb(num,l)==1)\r | |
2085 | flFake++;\r | |
2086 | else if (tProbKomb(num,l)==2)\r | |
2087 | flCorr++;\r | |
2088 | else \r | |
2089 | printf("Error: unexpected values in combinatorics table\n");\r | |
2090 | }\r | |
2091 | \r | |
2092 | Int_t fkAtLeastCorr = fAtLeastCorr;\r | |
2093 | if (fAtLeastCorr == -1) fkAtLeastCorr = nLayer; // all hits are "correct"\r | |
2094 | \r | |
2095 | if (flCorr>=fkAtLeastCorr && flFake==0) { // at least correct but zero fake\r | |
2096 | Double_t probEffLayer = 1;\r | |
2097 | for (Int_t l=0; l<nLayer; l++) {\r | |
c218d480 | 2098 | probEffLayer *= tProbLay((Int_t)tProbKomb(num,l),l);\r |
d4945a3b | 2099 | // cout<<a(num,l)<<" ";\r |
2100 | }\r | |
2101 | // cout<<endl;\r | |
2102 | probEff+=probEffLayer;\r | |
2103 | }\r | |
2104 | \r | |
2105 | if (flFake>=fAtLeastFake) {\r | |
2106 | Double_t probFakeLayer = 1;\r | |
2107 | for (Int_t l=0; l<nLayer; l++) {\r | |
c218d480 | 2108 | probFakeLayer *= tProbLay((Int_t)tProbKomb(num,l),l);\r |
d4945a3b | 2109 | // cout<<a(num,l)<<" ";\r |
2110 | }\r | |
2111 | // cout<<endl;\r | |
2112 | probFake+=probFakeLayer;\r | |
2113 | }\r | |
2114 | \r | |
2115 | }\r | |
2116 | Double_t *probs = new Double_t(2);\r | |
2117 | probs[0] = probEff; probs[1] = probFake;\r | |
2118 | return probs;\r | |
2119 | \r | |
2120 | }\r | |
c218d480 | 2121 | \r |
2122 | //____________________________________\r | |
2123 | Bool_t DetectorK::PropagateToR(AliExternalTrackParam* trc, double r, double b, int dir) \r | |
2124 | {\r | |
2125 | // go to radius R\r | |
2126 | //\r | |
2127 | double xR = 0;\r | |
2128 | double rr = r*r;\r | |
2129 | int iter = 0;\r | |
2130 | const double kTiny = 1e-6;\r | |
2131 | while(1) {\r | |
2132 | if (!GetXatLabR(trc, r ,xR, b, dir)) {\r | |
2133 | printf("Track with pt=%f cannot reach radius %f\n",trc->Pt(),r);\r | |
2134 | trc->Print();\r | |
2135 | return kFALSE;\r | |
2136 | }\r | |
2137 | if (!trc->PropagateTo(xR, b)) {printf("Failed to propagate to X=%f for R=%f\n",xR,r); trc->Print(); return kFALSE;}\r | |
2138 | double rcurr2 = xR*xR + trc->GetY()*trc->GetY();\r | |
2139 | if (TMath::Abs(rcurr2-rr)<kTiny || rr<kTiny) return kTRUE;\r | |
2140 | //\r | |
2141 | // two radii correspond to this X...\r | |
2142 | double pos[3]; trc->GetXYZ(pos);\r | |
2143 | double phi = TMath::ATan2(pos[1],pos[0]); //TMath::ASin( trc->GetSnp() );\r | |
2144 | if (!trc->Rotate(phi)) {printf("Failed to rotate to %f to propagate to R=%f\n",phi,r); trc->Print(); return kFALSE;}\r | |
2145 | if (++iter>8) {printf("Failed to propagate to R=%f after %d steps\n",r,iter); trc->Print(); return kFALSE;}\r | |
2146 | } \r | |
2147 | return kTRUE;\r | |
2148 | }\r |