]>
Commit | Line | Data |
---|---|---|
03d23846 | 1 | // |
2 | // Mini-Output | |
3 | // All the definitions needed for building a RSN histogram | |
4 | // including: | |
5 | // -- properties of resonance (mass, PDG code if needed) | |
6 | // -- properties of daughters (assigned mass, charges) | |
7 | // -- definition of output histogram | |
61f275d1 | 8 | // |
03d23846 | 9 | |
10 | #include "Riostream.h" | |
11 | ||
12 | #include "TH1.h" | |
13 | #include "TH2.h" | |
14 | #include "TH3.h" | |
15 | #include "TList.h" | |
45aa62b9 | 16 | #include "TMath.h" |
03d23846 | 17 | #include "THnSparse.h" |
18 | #include "TString.h" | |
19 | #include "TClonesArray.h" | |
20 | ||
21 | #include "AliRsnMiniParticle.h" | |
22 | #include "AliRsnMiniPair.h" | |
23 | #include "AliRsnMiniEvent.h" | |
088ca370 | 24 | #include "AliAODEvent.h" |
03d23846 | 25 | |
26 | #include "AliLog.h" | |
27 | #include "AliRsnCutSet.h" | |
28 | #include "AliRsnMiniAxis.h" | |
29 | #include "AliRsnMiniOutput.h" | |
30 | #include "AliRsnMiniValue.h" | |
31 | ||
32 | ClassImp(AliRsnMiniOutput) | |
33 | ||
34 | //__________________________________________________________________________________________________ | |
35 | AliRsnMiniOutput::AliRsnMiniOutput() : | |
36 | TNamed(), | |
37 | fOutputType(kTypes), | |
38 | fComputation(kComputations), | |
39 | fMotherPDG(0), | |
40 | fMotherMass(0.0), | |
41 | fPairCuts(0x0), | |
42 | fOutputID(-1), | |
43 | fAxes("AliRsnMiniAxis", 0), | |
44 | fComputed(0), | |
45 | fPair(), | |
a2455d2a | 46 | fList(0x0), |
47 | fSel1(0), | |
74d60285 | 48 | fSel2(0), |
088ca370 | 49 | fMaxNSisters(-1), |
50 | fCheckP(kFALSE), | |
31dbef4e | 51 | fCheckFeedDown(kFALSE), |
52 | fOriginDselection(kFALSE), | |
53 | fKeepDfromB(kFALSE), | |
54 | fKeepDfromBOnly(kFALSE), | |
55 | fRejectIfNoQuark(kFALSE), | |
74d60285 | 56 | fCheckHistRange(kTRUE) |
03d23846 | 57 | { |
58 | // | |
59 | // Constructor | |
60 | // | |
61 | ||
62 | fCutID[0] = fCutID[1] = -1; | |
63 | fDaughter[0] = fDaughter[1] = AliRsnDaughter::kUnknown; | |
64 | fCharge[0] = fCharge[1] = 0; | |
65 | } | |
66 | ||
67 | //__________________________________________________________________________________________________ | |
68 | AliRsnMiniOutput::AliRsnMiniOutput(const char *name, EOutputType type, EComputation src) : | |
69 | TNamed(name, ""), | |
70 | fOutputType(type), | |
71 | fComputation(src), | |
72 | fMotherPDG(0), | |
73 | fMotherMass(0.0), | |
74 | fPairCuts(0x0), | |
75 | fOutputID(-1), | |
76 | fAxes("AliRsnMiniAxis", 0), | |
77 | fComputed(0), | |
78 | fPair(), | |
a2455d2a | 79 | fList(0x0), |
80 | fSel1(0), | |
74d60285 | 81 | fSel2(0), |
088ca370 | 82 | fMaxNSisters(-1), |
83 | fCheckP(kFALSE), | |
31dbef4e | 84 | fCheckFeedDown(kFALSE), |
85 | fOriginDselection(kFALSE), | |
86 | fKeepDfromB(kFALSE), | |
87 | fKeepDfromBOnly(kFALSE), | |
88 | fRejectIfNoQuark(kFALSE), | |
74d60285 | 89 | fCheckHistRange(kTRUE) |
03d23846 | 90 | { |
91 | // | |
92 | // Constructor | |
93 | // | |
94 | ||
95 | fCutID[0] = fCutID[1] = -1; | |
96 | fDaughter[0] = fDaughter[1] = AliRsnDaughter::kUnknown; | |
97 | fCharge[0] = fCharge[1] = 0; | |
98 | } | |
99 | ||
100 | //__________________________________________________________________________________________________ | |
101 | AliRsnMiniOutput::AliRsnMiniOutput(const char *name, const char *outType, const char *compType) : | |
102 | TNamed(name, ""), | |
103 | fOutputType(kTypes), | |
104 | fComputation(kComputations), | |
105 | fMotherPDG(0), | |
106 | fMotherMass(0.0), | |
107 | fPairCuts(0x0), | |
108 | fOutputID(-1), | |
109 | fAxes("AliRsnMiniAxis", 0), | |
110 | fComputed(0), | |
111 | fPair(), | |
a2455d2a | 112 | fList(0x0), |
113 | fSel1(0), | |
74d60285 | 114 | fSel2(0), |
088ca370 | 115 | fMaxNSisters(-1), |
116 | fCheckP(kFALSE), | |
31dbef4e | 117 | fCheckFeedDown(kFALSE), |
118 | fOriginDselection(kFALSE), | |
119 | fKeepDfromB(kFALSE), | |
120 | fKeepDfromBOnly(kFALSE), | |
121 | fRejectIfNoQuark(kFALSE), | |
74d60285 | 122 | fCheckHistRange(kTRUE) |
03d23846 | 123 | { |
124 | // | |
125 | // Constructor, with a more user friendly implementation, where | |
126 | // the user sets the type of output and computations through conventional strings: | |
127 | // | |
128 | // Output: | |
6aaeb33c | 129 | // -- "HIST" --> common histogram (up to 3 dimensions) |
130 | // -- "SPARSE" --> sparse histogram | |
61f275d1 | 131 | // |
132 | // Computation: | |
6aaeb33c | 133 | // -- "EVENT" --> event-only computations |
134 | // -- "PAIR" --> track pair computations (default) | |
135 | // -- "MIX" --> event mixing (like track pair, but different events) | |
136 | // -- "ROTATE1" --> rotated background (rotate first track) | |
137 | // -- "ROTATE2" --> rotated background (rotate second track) | |
138 | // -- "TRUE" --> true pairs (like track pair, but checking that come from same mother) | |
139 | // -- "MOTHER" --> mother (loop on MC directly for mothers --> denominator of efficiency) | |
03d23846 | 140 | // |
141 | ||
142 | TString input; | |
61f275d1 | 143 | |
03d23846 | 144 | // understand output type |
145 | input = outType; | |
146 | input.ToUpper(); | |
147 | if (!input.CompareTo("HIST")) | |
148 | fOutputType = kHistogram; | |
149 | else if (!input.CompareTo("SPARSE")) | |
150 | fOutputType = kHistogramSparse; | |
151 | else | |
152 | AliWarning(Form("String '%s' does not define a meaningful output type", outType)); | |
61f275d1 | 153 | |
03d23846 | 154 | // understand computation type |
155 | input = compType; | |
156 | input.ToUpper(); | |
157 | if (!input.CompareTo("EVENT")) | |
158 | fComputation = kEventOnly; | |
159 | else if (!input.CompareTo("PAIR")) | |
160 | fComputation = kTrackPair; | |
161 | else if (!input.CompareTo("MIX")) | |
162 | fComputation = kTrackPairMix; | |
6aaeb33c | 163 | else if (!input.CompareTo("ROTATE1")) |
164 | fComputation = kTrackPairRotated1; | |
165 | else if (!input.CompareTo("ROTATE2")) | |
166 | fComputation = kTrackPairRotated2; | |
03d23846 | 167 | else if (!input.CompareTo("TRUE")) |
168 | fComputation = kTruePair; | |
169 | else if (!input.CompareTo("MOTHER")) | |
170 | fComputation = kMother; | |
171 | else | |
172 | AliWarning(Form("String '%s' does not define a meaningful computation type", compType)); | |
61f275d1 | 173 | |
03d23846 | 174 | fCutID[0] = fCutID[1] = -1; |
175 | fDaughter[0] = fDaughter[1] = AliRsnDaughter::kUnknown; | |
176 | fCharge[0] = fCharge[1] = 0; | |
177 | } | |
178 | ||
179 | //__________________________________________________________________________________________________ | |
180 | AliRsnMiniOutput::AliRsnMiniOutput(const AliRsnMiniOutput ©) : | |
181 | TNamed(copy), | |
182 | fOutputType(copy.fOutputType), | |
183 | fComputation(copy.fComputation), | |
184 | fMotherPDG(copy.fMotherPDG), | |
185 | fMotherMass(copy.fMotherMass), | |
186 | fPairCuts(copy.fPairCuts), | |
187 | fOutputID(copy.fOutputID), | |
188 | fAxes(copy.fAxes), | |
189 | fComputed(copy.fComputed), | |
190 | fPair(), | |
a2455d2a | 191 | fList(copy.fList), |
192 | fSel1(0), | |
74d60285 | 193 | fSel2(0), |
088ca370 | 194 | fMaxNSisters(-1), |
195 | fCheckP(kFALSE), | |
31dbef4e | 196 | fCheckFeedDown(kFALSE), |
197 | fOriginDselection(kFALSE), | |
198 | fKeepDfromB(kFALSE), | |
199 | fKeepDfromBOnly(kFALSE), | |
200 | fRejectIfNoQuark(kFALSE), | |
74d60285 | 201 | fCheckHistRange(copy.fCheckHistRange) |
03d23846 | 202 | { |
203 | // | |
204 | // Copy constructor | |
205 | // | |
206 | ||
207 | Int_t i; | |
208 | for (i = 0; i < 2; i++) { | |
209 | fCutID[i] = copy.fCutID[i]; | |
210 | fDaughter[i] = copy.fDaughter[i]; | |
211 | fCharge[i] = copy.fCharge[i]; | |
212 | } | |
213 | } | |
214 | ||
215 | //__________________________________________________________________________________________________ | |
61f275d1 | 216 | AliRsnMiniOutput &AliRsnMiniOutput::operator=(const AliRsnMiniOutput ©) |
03d23846 | 217 | { |
218 | // | |
219 | // Assignment operator | |
220 | // | |
61f275d1 | 221 | if (this == ©) |
222 | return *this; | |
223 | fOutputType = copy.fOutputType; | |
224 | fComputation = copy.fComputation; | |
225 | fMotherPDG = copy.fMotherPDG; | |
226 | fMotherMass = copy.fMotherMass; | |
227 | fPairCuts = copy.fPairCuts; | |
228 | fOutputID = copy.fOutputID; | |
229 | fAxes = copy.fAxes; | |
230 | fComputed = copy.fComputed; | |
231 | fList = copy.fList; | |
232 | ||
233 | Int_t i; | |
234 | for (i = 0; i < 2; i++) { | |
235 | fCutID[i] = copy.fCutID[i]; | |
236 | fDaughter[i] = copy.fDaughter[i]; | |
237 | fCharge[i] = copy.fCharge[i]; | |
238 | } | |
239 | ||
240 | fSel1.Set(0); | |
241 | fSel2.Set(0); | |
088ca370 | 242 | fMaxNSisters = copy.fMaxNSisters; |
243 | fCheckP = copy.fCheckP; | |
31dbef4e | 244 | fCheckFeedDown = copy.fCheckFeedDown; |
245 | fOriginDselection = copy.fOriginDselection; | |
246 | fKeepDfromB = copy.fOriginDselection; | |
247 | fKeepDfromBOnly = copy.fKeepDfromBOnly; | |
248 | fRejectIfNoQuark = copy.fRejectIfNoQuark; | |
74d60285 | 249 | fCheckHistRange = copy.fCheckHistRange; |
61f275d1 | 250 | |
03d23846 | 251 | return (*this); |
252 | } | |
253 | ||
254 | ||
255 | //__________________________________________________________________________________________________ | |
256 | void AliRsnMiniOutput::AddAxis(Int_t i, Int_t nbins, Double_t min, Double_t max) | |
257 | { | |
258 | // | |
259 | // Create a new axis reference | |
260 | // | |
261 | ||
61f275d1 | 262 | Int_t size = fAxes.GetEntries(); |
03d23846 | 263 | new (fAxes[size]) AliRsnMiniAxis(i, nbins, min, max); |
264 | } | |
265 | ||
266 | //__________________________________________________________________________________________________ | |
267 | void AliRsnMiniOutput::AddAxis(Int_t i, Double_t min, Double_t max, Double_t step) | |
268 | { | |
269 | // | |
270 | // Create a new axis reference | |
271 | // | |
272 | ||
61f275d1 | 273 | Int_t size = fAxes.GetEntries(); |
03d23846 | 274 | new (fAxes[size]) AliRsnMiniAxis(i, min, max, step); |
275 | } | |
276 | ||
277 | //__________________________________________________________________________________________________ | |
278 | void AliRsnMiniOutput::AddAxis(Int_t i, Int_t nbins, Double_t *values) | |
279 | { | |
280 | // | |
281 | // Create a new axis reference | |
282 | // | |
283 | ||
61f275d1 | 284 | Int_t size = fAxes.GetEntries(); |
03d23846 | 285 | new (fAxes[size]) AliRsnMiniAxis(i, nbins, values); |
286 | } | |
287 | ||
288 | //__________________________________________________________________________________________________ | |
289 | Bool_t AliRsnMiniOutput::Init(const char *prefix, TList *list) | |
290 | { | |
291 | // | |
292 | // Initialize properly the histogram and add it to the argument list | |
293 | // | |
294 | ||
295 | if (!list) { | |
296 | AliError("Required an output list"); | |
297 | return kFALSE; | |
298 | } | |
61f275d1 | 299 | |
03d23846 | 300 | fList = list; |
45aa62b9 | 301 | Int_t size = fAxes.GetEntries(); |
302 | if (size < 1) { | |
303 | AliWarning(Form("[%s] Cannot initialize histogram with less than 1 axis", GetName())); | |
304 | return kFALSE; | |
305 | } | |
03d23846 | 306 | |
307 | switch (fOutputType) { | |
308 | case kHistogram: | |
d573d2fb | 309 | if (size <= 3) { |
310 | CreateHistogram(Form("%s_%s", prefix, GetName())); | |
311 | } else { | |
312 | AliInfo(Form("[%s] Added %d > 3 axes. Creating a sparse histogram", GetName(), size)); | |
313 | fOutputType = kHistogramSparse; | |
314 | CreateHistogramSparse(Form("%s_%s", prefix, GetName())); | |
315 | } | |
03d23846 | 316 | return kTRUE; |
317 | case kHistogramSparse: | |
6aaeb33c | 318 | CreateHistogramSparse(Form("%s_%s", prefix, GetName())); |
03d23846 | 319 | return kTRUE; |
320 | default: | |
321 | AliError("Wrong output histogram definition"); | |
322 | return kFALSE; | |
323 | } | |
324 | } | |
325 | ||
326 | //__________________________________________________________________________________________________ | |
327 | void AliRsnMiniOutput::CreateHistogram(const char *name) | |
328 | { | |
329 | // | |
330 | // Initialize the 'default' TH1 output object. | |
331 | // In case one of the expected axes is NULL, the initialization fails. | |
332 | // | |
333 | ||
334 | Int_t size = fAxes.GetEntries(); | |
335 | AliInfo(Form("Histogram name = '%s', with %d axes", name, size)); | |
336 | ||
337 | // we expect to have maximum 3 axes in this case | |
338 | AliRsnMiniAxis *xAxis = 0x0, *yAxis = 0x0, *zAxis = 0x0; | |
61f275d1 | 339 | if (size >= 1) xAxis = (AliRsnMiniAxis *)fAxes[0]; |
340 | if (size >= 2) yAxis = (AliRsnMiniAxis *)fAxes[1]; | |
341 | if (size >= 3) zAxis = (AliRsnMiniAxis *)fAxes[2]; | |
342 | ||
03d23846 | 343 | // create histogram depending on the number of axes |
344 | TH1 *h1 = 0x0; | |
345 | if (xAxis && yAxis && zAxis) { | |
346 | h1 = new TH3F(name, "", xAxis->NBins(), xAxis->BinArray(), yAxis->NBins(), yAxis->BinArray(), zAxis->NBins(), zAxis->BinArray()); | |
347 | } else if (xAxis && yAxis) { | |
348 | h1 = new TH2F(name, "", xAxis->NBins(), xAxis->BinArray(), yAxis->NBins(), yAxis->BinArray()); | |
349 | } else if (xAxis) { | |
350 | h1 = new TH1F(name, "", xAxis->NBins(), xAxis->BinArray()); | |
351 | } else { | |
352 | AliError("No axis was initialized"); | |
353 | return; | |
354 | } | |
61f275d1 | 355 | |
03d23846 | 356 | // switch the correct computation of errors |
357 | if (h1 && fList) { | |
358 | h1->Sumw2(); | |
359 | fList->Add(h1); | |
360 | fOutputID = fList->IndexOf(h1); | |
361 | } | |
362 | } | |
363 | ||
364 | //________________________________________________________________________________________ | |
365 | void AliRsnMiniOutput::CreateHistogramSparse(const char *name) | |
366 | { | |
367 | // | |
368 | // Initialize the THnSparse output object. | |
369 | // In case one of the expected axes is NULL, the initialization fails. | |
370 | // | |
371 | ||
d573d2fb | 372 | Int_t size = fAxes.GetEntries(); |
373 | AliInfo(Form("Sparse histogram name = '%s', with %d axes", name, size)); | |
61f275d1 | 374 | |
03d23846 | 375 | // retrieve binnings and sizes of all axes |
376 | // since the check for null values is done in Init(), | |
377 | // we assume that here they must all be well defined | |
03d23846 | 378 | Int_t i, *nbins = new Int_t[size]; |
379 | for (i = 0; i < size; i++) { | |
61f275d1 | 380 | AliRsnMiniAxis *axis = (AliRsnMiniAxis *)fAxes[i]; |
03d23846 | 381 | nbins[i] = axis->NBins(); |
382 | } | |
383 | ||
384 | // create fHSparseogram | |
385 | THnSparseF *h1 = new THnSparseF(name, "", size, nbins); | |
386 | ||
387 | // update the various axes using the definitions given in the array of axes here | |
388 | for (i = 0; i < size; i++) { | |
61f275d1 | 389 | AliRsnMiniAxis *axis = (AliRsnMiniAxis *)fAxes[i]; |
03d23846 | 390 | h1->GetAxis(i)->Set(nbins[i], axis->BinArray()); |
391 | } | |
392 | ||
393 | // clear heap | |
394 | delete [] nbins; | |
61f275d1 | 395 | |
03d23846 | 396 | // add to list |
397 | if (h1 && fList) { | |
398 | h1->Sumw2(); | |
399 | fList->Add(h1); | |
400 | fOutputID = fList->IndexOf(h1); | |
401 | } | |
402 | } | |
403 | ||
404 | //________________________________________________________________________________________ | |
45aa62b9 | 405 | Bool_t AliRsnMiniOutput::FillEvent(AliRsnMiniEvent *event, TClonesArray *valueList) |
03d23846 | 406 | { |
407 | // | |
408 | // Compute values for event-based computations (does not use the pair) | |
409 | // | |
410 | ||
411 | // check computation type | |
412 | if (fComputation != kEventOnly) { | |
413 | AliError("This method can be called only for event-based computations"); | |
414 | return kFALSE; | |
415 | } | |
416 | ||
45aa62b9 | 417 | // compute & fill |
418 | ComputeValues(event, valueList); | |
419 | FillHistogram(); | |
420 | return kTRUE; | |
03d23846 | 421 | } |
422 | ||
423 | //________________________________________________________________________________________ | |
45aa62b9 | 424 | Bool_t AliRsnMiniOutput::FillMother(const AliRsnMiniPair *pair, AliRsnMiniEvent *event, TClonesArray *valueList) |
03d23846 | 425 | { |
426 | // | |
427 | // Compute values for mother-based computations | |
428 | // | |
429 | ||
430 | // check computation type | |
431 | if (fComputation != kMother) { | |
432 | AliError("This method can be called only for mother-based computations"); | |
433 | return kFALSE; | |
434 | } | |
61f275d1 | 435 | |
03d23846 | 436 | // copy passed pair info |
437 | fPair = (*pair); | |
61f275d1 | 438 | |
03d23846 | 439 | // check pair against cuts |
440 | if (fPairCuts) if (!fPairCuts->IsSelected(&fPair)) return kFALSE; | |
441 | ||
45aa62b9 | 442 | // compute & fill |
443 | ComputeValues(event, valueList); | |
444 | FillHistogram(); | |
445 | return kTRUE; | |
03d23846 | 446 | } |
447 | ||
448 | //________________________________________________________________________________________ | |
d573d2fb | 449 | Int_t AliRsnMiniOutput::FillPair(AliRsnMiniEvent *event1, AliRsnMiniEvent *event2, TClonesArray *valueList, Bool_t refFirst) |
03d23846 | 450 | { |
451 | // | |
45aa62b9 | 452 | // Loops on the passed mini-event, and for each pair of particles |
453 | // which satisfy the charge and cut requirements defined here, add an entry. | |
454 | // Returns the number of successful fillings. | |
d573d2fb | 455 | // Last argument tells if the reference event for event-based values is the first or the second. |
03d23846 | 456 | // |
457 | ||
458 | // check computation type | |
6aaeb33c | 459 | Bool_t okComp = kFALSE; |
45aa62b9 | 460 | if (fComputation == kTrackPair) okComp = kTRUE; |
461 | if (fComputation == kTrackPairMix) okComp = kTRUE; | |
462 | if (fComputation == kTrackPairRotated1) okComp = kTRUE; | |
463 | if (fComputation == kTrackPairRotated2) okComp = kTRUE; | |
464 | if (fComputation == kTruePair) okComp = kTRUE; | |
6aaeb33c | 465 | if (!okComp) { |
45aa62b9 | 466 | AliError(Form("[%s] This method can be called only for pair-based computations", GetName())); |
03d23846 | 467 | return kFALSE; |
468 | } | |
61f275d1 | 469 | |
45aa62b9 | 470 | // loop variables |
471 | Int_t i1, i2, start, nadded = 0; | |
45aa62b9 | 472 | AliRsnMiniParticle *p1, *p2; |
61f275d1 | 473 | |
45aa62b9 | 474 | // it is necessary to know if criteria for the two daughters are the same |
475 | // and if the two events are the same or not (mixing) | |
7196ee4f | 476 | //Bool_t sameCriteria = ((fCharge[0] == fCharge[1]) && (fCutID[0] == fCutID[1])); |
477 | Bool_t sameCriteria = ((fCharge[0] == fCharge[1]) && (fDaughter[0] == fDaughter[1])); | |
45aa62b9 | 478 | Bool_t sameEvent = (event1->ID() == event2->ID()); |
61f275d1 | 479 | |
9e3a9020 | 480 | TString selList1 = ""; |
481 | TString selList2 = ""; | |
a2455d2a | 482 | Int_t n1 = event1->CountParticles(fSel1, fCharge[0], fCutID[0]); |
483 | Int_t n2 = event2->CountParticles(fSel2, fCharge[1], fCutID[1]); | |
484 | for (i1 = 0; i1 < n1; i1++) selList1.Append(Form("%d ", fSel1[i1])); | |
485 | for (i2 = 0; i2 < n2; i2++) selList2.Append(Form("%d ", fSel2[i2])); | |
486 | AliDebugClass(1, Form("[%10s] Part #1: [%s] -- evID %6d -- charge = %c -- cut ID = %d --> %4d tracks (%s)", GetName(), (event1 == event2 ? "def" : "mix"), event1->ID(), fCharge[0], fCutID[0], n1, selList1.Data())); | |
487 | AliDebugClass(1, Form("[%10s] Part #2: [%s] -- evID %6d -- charge = %c -- cut ID = %d --> %4d tracks (%s)", GetName(), (event1 == event2 ? "def" : "mix"), event2->ID(), fCharge[1], fCutID[1], n2, selList2.Data())); | |
9e3a9020 | 488 | if (!n1 || !n2) { |
d573d2fb | 489 | AliDebugClass(1, "No pairs to mix"); |
490 | return 0; | |
491 | } | |
61f275d1 | 492 | |
45aa62b9 | 493 | // external loop |
494 | for (i1 = 0; i1 < n1; i1++) { | |
a2455d2a | 495 | p1 = event1->GetParticle(fSel1[i1]); |
9e3a9020 | 496 | //p1 = event1->GetParticle(i1); |
497 | //if (p1->Charge() != fCharge[0]) continue; | |
498 | //if (!p1->HasCutBit(fCutID[0])) continue; | |
45aa62b9 | 499 | // define starting point for inner loop |
500 | // if daughter selection criteria (charge, cuts) are the same | |
501 | // and the two events coincide, internal loop must start from | |
502 | // the first track *after* current one; | |
503 | // otherwise it starts from the beginning | |
504 | start = ((sameEvent && sameCriteria) ? i1 + 1 : 0); | |
7196ee4f | 505 | AliDebugClass(2, Form("Start point = %d", start)); |
45aa62b9 | 506 | // internal loop |
507 | for (i2 = start; i2 < n2; i2++) { | |
a2455d2a | 508 | p2 = event2->GetParticle(fSel2[i2]); |
9e3a9020 | 509 | //p2 = event2->GetParticle(i2); |
510 | //if (p2->Charge() != fCharge[1]) continue; | |
511 | //if (!p2->HasCutBit(fCutID[1])) continue; | |
45aa62b9 | 512 | // avoid to mix a particle with itself |
513 | if (sameEvent && (p1->Index() == p2->Index())) { | |
d573d2fb | 514 | AliDebugClass(2, "Skipping same index"); |
45aa62b9 | 515 | continue; |
516 | } | |
517 | // sum momenta | |
518 | fPair.Fill(p1, p2, GetMass(0), GetMass(1), fMotherMass); | |
519 | // do rotation if needed | |
520 | if (fComputation == kTrackPairRotated1) fPair.InvertP(kTRUE); | |
521 | if (fComputation == kTrackPairRotated2) fPair.InvertP(kFALSE); | |
522 | // if required, check that this is a true pair | |
523 | if (fComputation == kTruePair) { | |
524 | if (fPair.Mother() < 0) { | |
525 | continue; | |
55de729a | 526 | } else if (fPair.MotherPDG() != fMotherPDG) { |
45aa62b9 | 527 | continue; |
528 | } | |
529 | Bool_t decayMatch = kFALSE; | |
530 | if (p1->PDGAbs() == AliRsnDaughter::SpeciesPDG(fDaughter[0]) && p2->PDGAbs() == AliRsnDaughter::SpeciesPDG(fDaughter[1])) | |
531 | decayMatch = kTRUE; | |
532 | if (p2->PDGAbs() == AliRsnDaughter::SpeciesPDG(fDaughter[0]) && p1->PDGAbs() == AliRsnDaughter::SpeciesPDG(fDaughter[1])) | |
533 | decayMatch = kTRUE; | |
534 | if (!decayMatch) continue; | |
35b36c39 | 535 | if ( (fMaxNSisters>0) && (p1->NTotSisters()==p2->NTotSisters()) && (p1->NTotSisters()>fMaxNSisters)) continue; |
536 | if ( fCheckP &&(TMath::Abs(fPair.PmotherX()-(p1->Px(1)+p2->Px(1)))/(TMath::Abs(fPair.PmotherX())+1.e-13)) > 0.00001 && | |
537 | (TMath::Abs(fPair.PmotherY()-(p1->Py(1)+p2->Py(1)))/(TMath::Abs(fPair.PmotherY())+1.e-13)) > 0.00001 && | |
538 | (TMath::Abs(fPair.PmotherZ()-(p1->Pz(1)+p2->Pz(1)))/(TMath::Abs(fPair.PmotherZ())+1.e-13)) > 0.00001 ) continue; | |
31dbef4e | 539 | if ( fCheckFeedDown ){ |
540 | Int_t pdgGranma = 0; | |
541 | Bool_t isFromB=kFALSE; | |
542 | Bool_t isQuarkFound=kFALSE; | |
543 | ||
544 | if(fPair.IsFromB() == kTRUE) isFromB = kTRUE; | |
545 | if(fPair.IsQuarkFound() == kTRUE) isQuarkFound = kTRUE; | |
546 | if(fRejectIfNoQuark && !isQuarkFound) pdgGranma = -99999; | |
547 | if(isFromB){ | |
548 | if (!fKeepDfromB) pdgGranma = -9999; //skip particle if come from a B meson. | |
549 | } | |
550 | else{ | |
551 | if (fKeepDfromBOnly) pdgGranma = -999; | |
552 | } | |
553 | if (pdgGranma == -99999){ | |
554 | AliDebug(2,"This particle does not have a quark in his genealogy\n"); | |
555 | continue; | |
556 | } | |
557 | if (pdgGranma == -9999){ | |
558 | AliDebug(2,"This particle come from a B decay channel but according to the settings of the task, we keep only the prompt charm particles\n"); | |
559 | continue; | |
560 | } | |
561 | ||
562 | if (pdgGranma == -999){ | |
563 | AliDebug(2,"This particle come from a prompt charm particles but according to the settings of the task, we want only the ones coming from B\n"); | |
564 | continue; | |
565 | } | |
566 | } | |
45aa62b9 | 567 | } |
568 | // check pair against cuts | |
569 | if (fPairCuts) { | |
9e7b94f5 | 570 | if (!fPairCuts->IsSelected(&fPair)) continue; |
45aa62b9 | 571 | } |
572 | // get computed values & fill histogram | |
9e3a9020 | 573 | nadded++; |
61f275d1 | 574 | if (refFirst) ComputeValues(event1, valueList); else ComputeValues(event2, valueList); |
45aa62b9 | 575 | FillHistogram(); |
45aa62b9 | 576 | } // end internal loop |
577 | } // end external loop | |
61f275d1 | 578 | |
d573d2fb | 579 | AliDebugClass(1, Form("Pairs added in total = %4d", nadded)); |
45aa62b9 | 580 | return nadded; |
03d23846 | 581 | } |
31dbef4e | 582 | //___________________________________________________________ |
583 | void AliRsnMiniOutput::SetDselection(UShort_t originDselection) | |
584 | { | |
585 | // setting the way the D0 will be selected | |
586 | // 0 --> only from c quarks | |
587 | // 1 --> only from b quarks | |
588 | // 2 --> from both c quarks and b quarks | |
589 | ||
590 | fOriginDselection = originDselection; | |
591 | ||
592 | if (fOriginDselection == 0) { | |
593 | fKeepDfromB = kFALSE; | |
594 | fKeepDfromBOnly = kFALSE; | |
595 | } | |
596 | ||
597 | if (fOriginDselection == 1) { | |
598 | fKeepDfromB = kTRUE; | |
599 | fKeepDfromBOnly = kTRUE; | |
600 | } | |
601 | ||
602 | if (fOriginDselection == 2) { | |
603 | fKeepDfromB = kTRUE; | |
604 | fKeepDfromBOnly = kFALSE; | |
605 | } | |
606 | ||
607 | return; | |
608 | } | |
03d23846 | 609 | //________________________________________________________________________________________ |
45aa62b9 | 610 | void AliRsnMiniOutput::ComputeValues(AliRsnMiniEvent *event, TClonesArray *valueList) |
03d23846 | 611 | { |
612 | // | |
613 | // Using the arguments and the internal 'fPair' data member, | |
614 | // compute all values to be stored in the histogram | |
615 | // | |
616 | ||
617 | // check size of computed array | |
618 | Int_t size = fAxes.GetEntries(); | |
619 | if (fComputed.GetSize() != size) fComputed.Set(size); | |
620 | ||
621 | Int_t i, ival, nval = valueList->GetEntries(); | |
61f275d1 | 622 | |
03d23846 | 623 | for (i = 0; i < size; i++) { |
624 | fComputed[i] = 1E20; | |
61f275d1 | 625 | AliRsnMiniAxis *axis = (AliRsnMiniAxis *)fAxes[i]; |
03d23846 | 626 | if (!axis) { |
627 | AliError("Null axis"); | |
628 | continue; | |
629 | } | |
630 | ival = axis->GetValueID(); | |
631 | if (ival < 0 || ival >= nval) { | |
632 | AliError(Form("Required value #%d, while maximum is %d", ival, nval)); | |
633 | continue; | |
634 | } | |
61f275d1 | 635 | AliRsnMiniValue *val = (AliRsnMiniValue *)valueList->At(ival); |
03d23846 | 636 | if (!val) { |
637 | AliError(Form("Value in position #%d is NULL", ival)); | |
638 | continue; | |
61f275d1 | 639 | } |
03d23846 | 640 | // if none of the above exit points is taken, compute value |
641 | fComputed[i] = val->Eval(&fPair, event); | |
642 | } | |
03d23846 | 643 | } |
644 | ||
645 | //________________________________________________________________________________________ | |
45aa62b9 | 646 | void AliRsnMiniOutput::FillHistogram() |
03d23846 | 647 | { |
648 | // | |
649 | // Fills the internal histogram using the current values stored in the | |
650 | // 'fComputed' array, in the order as they are stored, up to the max | |
651 | // dimension of the initialized histogram itself. | |
652 | // | |
653 | ||
654 | // retrieve object from list | |
655 | if (!fList) { | |
656 | AliError("List pointer is NULL"); | |
45aa62b9 | 657 | return; |
03d23846 | 658 | } |
659 | TObject *obj = fList->At(fOutputID); | |
660 | ||
661 | if (obj->InheritsFrom(TH1F::Class())) { | |
61f275d1 | 662 | ((TH1F *)obj)->Fill(fComputed[0]); |
03d23846 | 663 | } else if (obj->InheritsFrom(TH2F::Class())) { |
61f275d1 | 664 | ((TH2F *)obj)->Fill(fComputed[0], fComputed[1]); |
03d23846 | 665 | } else if (obj->InheritsFrom(TH3F::Class())) { |
61f275d1 | 666 | ((TH3F *)obj)->Fill(fComputed[0], fComputed[1], fComputed[2]); |
03d23846 | 667 | } else if (obj->InheritsFrom(THnSparseF::Class())) { |
74d60285 | 668 | THnSparseF *h = (THnSparseF *)obj; |
669 | if (fCheckHistRange) { | |
670 | for (Int_t iAxis = 0; iAxis<h->GetNdimensions(); iAxis++) { | |
671 | if (fComputed.At(iAxis)>h->GetAxis(iAxis)->GetXmax() || fComputed.At(iAxis)<h->GetAxis(iAxis)->GetXmin()) return; | |
672 | } | |
673 | } | |
674 | h->Fill(fComputed.GetArray()); | |
03d23846 | 675 | } else { |
676 | AliError("No output initialized"); | |
03d23846 | 677 | } |
03d23846 | 678 | } |