AliCollisionNormalization:
[u/mrichter/AliRoot.git] / ANALYSIS / AliCollisionNormalization.cxx
CommitLineData
0d300b4f 1//-------------------------------------------------------------------------
2// Implementation of Class AliCollisionNormalization
3//
4// This class is used to store the vertex ditributions in the data
5// and in Monte Carlo, needed to compute the real number of
6// collisions a given sample is corresponding to.
7// The strategy matches what described in CERN-THESIS-2009-033 p 119.
8//
9// Author: Michele Floris, CERN
10//-------------------------------------------------------------------------
11
9b0cb3c3 12#include "AliCollisionNormalization.h"
13#include "AliPhysicsSelection.h"
14#include "AliLog.h"
15#include "TFile.h"
16#include "TCanvas.h"
17#include "AliGenPythiaEventHeader.h"
18#include "AliGenDPMjetEventHeader.h"
19#include "AliGenEventHeader.h"
20#include "AliMCEvent.h"
21
22ClassImp(AliCollisionNormalization)
23
24const char * AliCollisionNormalization::fProcLabel[] = {"SD","DD","ND", "Unknown"};
25
26AliCollisionNormalization::AliCollisionNormalization() :
27 TObject(),
28 fNbinsVz(0),
29 fMinVz(0),
30 fMaxVz(0),
31 fZRange(9.99),
32 fIsMC(0),
33 fReferenceXS(0),
34 fVerbose(0),
0d300b4f 35 fEnergy(900),
9b0cb3c3 36 fHistVzData (0),
37 fHistProcTypes (0),
0d300b4f 38 fHistStatBin0 (0),
39 fHistStat (0)
9b0cb3c3 40{
41
42 // ctor
43
44 fNbinsVz = 30;
45 fMinVz = -15;
46 fMaxVz = +15;
47
48 for(Int_t iproc = 0; iproc < kNProcs; iproc++){
49 fHistVzMCGen[iproc] = 0;
50 fHistVzMCRec[iproc] = 0;
51 fHistVzMCTrg[iproc] = 0;
52 }
53
54
55 BookAllHistos();
56}
57
58AliCollisionNormalization::AliCollisionNormalization(Int_t nbinz, Float_t minz, Float_t maxz):
59 TObject(),
60 fNbinsVz(0),
61 fMinVz(0),
62 fMaxVz(0),
63 fZRange(9.99),
64 fIsMC(0),
65 fReferenceXS(0),
66 fVerbose(0),
0d300b4f 67 fEnergy(900),
9b0cb3c3 68 fHistVzData (0),
69 fHistProcTypes (0),
0d300b4f 70 fHistStatBin0 (0),
71 fHistStat (0)
72
9b0cb3c3 73{
74
75 // ctor, allows setting binning
76 fNbinsVz = nbinz;
77 fMinVz = minz;
78 fMaxVz = maxz;
79
80 for(Int_t iproc = 0; iproc < kNProcs; iproc++){
81 fHistVzMCGen[iproc] = 0;
82 fHistVzMCRec[iproc] = 0;
83 fHistVzMCTrg[iproc] = 0;
84 }
85
86 BookAllHistos();
87}
88
89AliCollisionNormalization::AliCollisionNormalization(const char * dataFile, const char * dataListName,
90 const char * mcFile, const char * mcListName,
91 const char * eventStatFile) :
92 TObject(),
93 fNbinsVz(0),
94 fMinVz(0),
95 fMaxVz(0),
96 fZRange(9.99),
97 fIsMC(0),
98 fReferenceXS(0),
99 fVerbose(0),
0d300b4f 100 fEnergy(900),
9b0cb3c3 101 fHistVzData (0),
102 fHistProcTypes (0),
0d300b4f 103 fHistStatBin0 (0),
104 fHistStat (0)
105
9b0cb3c3 106{
107
108 // ctor, loads histograms from file
109 for(Int_t iproc = 0; iproc < kNProcs; iproc++){
110 fHistVzMCGen[iproc] = 0;
111 fHistVzMCRec[iproc] = 0;
112 fHistVzMCTrg[iproc] = 0;
113 }
114
115
116 TFile * fdata = new TFile (dataFile);
117 TFile * fmc = new TFile (mcFile );
0d300b4f 118 TFile * fstat = new TFile(eventStatFile);
119
120 if (!fdata->IsOpen() || !fmc->IsOpen() || !fstat->IsOpen()) {
121 AliFatal("Cannot open input file(s)");
122 }
9b0cb3c3 123
124 TList * ldata = (TList*) fdata->Get(dataListName);
125 TList * lmc = (TList*) fmc ->Get(mcListName );
126
127 AliCollisionNormalization * cndata = (AliCollisionNormalization*) ldata->FindObject("AliCollisionNormalization");
128 AliCollisionNormalization * cnmc = (AliCollisionNormalization*) lmc ->FindObject("AliCollisionNormalization");
129
130
131 // Assign or book all histos
132 for(Int_t iproc = 0; iproc < kNProcs; iproc++){
133 fHistVzMCGen[iproc]= cnmc->GetVzMCGen(iproc);
134 fHistVzMCRec[iproc]= cnmc->GetVzMCRec(iproc);
135 fHistVzMCTrg[iproc]= cnmc->GetVzMCTrg(iproc);
136 }
137 fHistVzData = cndata->GetVzData();
138 fHistProcTypes = cnmc->GetHistProcTypes();
139
9b0cb3c3 140 fHistStatBin0 = (TH1F*) fstat->Get("fHistStatistics_Bin0");
0d300b4f 141 fHistStat = (TH1F*) fstat->Get("fHistStatistics");
9b0cb3c3 142
143}
144
145
146AliCollisionNormalization::~AliCollisionNormalization(){
147
148 // dtor
149 for(Int_t iproc = 0; iproc < kNProcs; iproc++){
150 if(fHistVzMCGen[iproc]) { delete fHistVzMCGen[iproc] ; fHistVzMCGen[iproc] =0;}
151 if(fHistVzMCRec[iproc]) { delete fHistVzMCRec[iproc] ; fHistVzMCRec[iproc] =0;}
152 if(fHistVzMCTrg[iproc]) { delete fHistVzMCTrg[iproc] ; fHistVzMCTrg[iproc] =0;}
153 }
154
155 if(fHistVzData ) { delete fHistVzData ; fHistVzData =0;}
156 if(fHistStatBin0 ) { delete fHistStatBin0 ; fHistStatBin0 =0;}
0d300b4f 157 if(fHistStat ) { delete fHistStat ; fHistStat =0;}
9b0cb3c3 158 if(fHistProcTypes ) { delete fHistProcTypes ; fHistProcTypes =0;}
159
160}
161
162void AliCollisionNormalization::BookAllHistos(){
163 // books all histos
164 // Book histos of vz distributions vs multiplicity
165 // if vzOnly == kTRUE, it returns a 1d histo with vz dist only
166
167 // Do not attach histos to the current directory
168 Bool_t oldStatus = TH1::AddDirectoryStatus();
169 TH1::AddDirectory(kFALSE);
170
171 for(Int_t iproc = 0; iproc < kNProcs; iproc++){
172 fHistVzMCGen [iproc] = (TH2F*) BookVzHisto(TString("fHistVzMCGen")+ fProcLabel[iproc] ,"Vz distribution of generated events vs rec multiplicity ");
173 fHistVzMCRec [iproc] = (TH2F*) BookVzHisto(TString("fHistVzMCRec")+ fProcLabel[iproc] ,"Vz distribution of reconstructed events vs rec multiplicity");
174 fHistVzMCTrg [iproc] = (TH2F*) BookVzHisto(TString("fHistVzMCTrg")+ fProcLabel[iproc] ,"Vz distribution of triggered events vs rec multiplicity ");
175 }
176 fHistVzData = (TH2F*) BookVzHisto("fHistVzData" ,"Vz distribution of triggered events vs rec multiplicity ");
177 fHistProcTypes = new TH1F ("fHistProcTypes", "Number of events in the different process classes", kNProcs, -0.5 , kNProcs-0.5);
178
179 fHistProcTypes->GetXaxis()->SetBinLabel(kProcSD+1,"SD");
180 fHistProcTypes->GetXaxis()->SetBinLabel(kProcND+1,"ND");
181 fHistProcTypes->GetXaxis()->SetBinLabel(kProcDD+1,"DD");
182 fHistProcTypes->GetXaxis()->SetBinLabel(kProcUnknown+1,"Unknown");
183
184 TH1::AddDirectory(oldStatus);
185
186}
187
188TH1 * AliCollisionNormalization::BookVzHisto(const char * name , const char * title, Bool_t vzOnly) {
189
190 // Book histos of vz distributions vs multiplicity
191 // if vzOnly == kTRUE, it returns a 1d histo with vz dist only
192
193
194 // Do not attach histos to the current directory
195 Bool_t oldStatus = TH1::AddDirectoryStatus();
196 TH1::AddDirectory(kFALSE);
197
198 TH1 * h;
199 Double_t binLimitsVtx[] = {-30,-25,-20,-15,-10,-7,-5.5,-4,-3,-2,-1,0,1,2,3,4,5.5,7,10,15,20,25,30};
200 if (vzOnly) {
201 h = new TH1F(name,title,22,binLimitsVtx);
202 } else {
203 h = new TH2F(name,title,22,binLimitsVtx,100,Double_t(-0.5),Double_t(99.5));
204 }
205
206 h->SetXTitle("V_{z} (cm)");
207 h->SetYTitle("n_{trk}");
208 h->Sumw2();
209
210 TH1::AddDirectory(oldStatus);
211
212 return h;
213
214}
215
216TH2F * AliCollisionNormalization::GetVzMCGen (Int_t procType) {
217
218 // returns MC gen histo. If proc type < 0 sums over all proc types, reweighting the XS
219
220 if(procType>=0) return fHistVzMCGen[procType] ;
221
222 TH2F * sum = (TH2F*) fHistVzMCGen[kProcSD]->Clone();
223 sum->Reset();
224
225 for(Int_t iproc = 0; iproc < kProcUnknown; iproc++){
226 sum->Add(fHistVzMCGen[iproc],GetProcessWeight(iproc));
227 }
228
229 return sum;
230}
231TH2F * AliCollisionNormalization::GetVzMCRec (Int_t procType) {
232
233 // returns MC rec histo. If proc type < 0 sums over all proc types, reweighting the XS
234
235 if(procType>=0) return fHistVzMCRec[procType] ;
236
237 TH2F * sum = (TH2F*) fHistVzMCRec[kProcSD]->Clone();
238 sum->Reset();
239
240 for(Int_t iproc = 0; iproc < kProcUnknown; iproc++){
241 sum->Add(fHistVzMCRec[iproc],GetProcessWeight(iproc));
242 }
243
244 return sum;
245
246}
247
248
249TH2F * AliCollisionNormalization::GetVzMCTrg (Int_t procType) {
250
251 // returns MC trg histo. If proc type < 0 sums over all proc types, reweighting the XS
252
253 if(procType>=0) return fHistVzMCTrg[procType] ;
254
255 TH2F * sum = (TH2F*) fHistVzMCTrg[kProcSD]->Clone();
256 sum->Reset();
257
258 for(Int_t iproc = 0; iproc < kProcUnknown; iproc++){
259 sum->Add(fHistVzMCTrg[iproc],GetProcessWeight(iproc));
260 }
261
262 return sum;
263
264}
265
266Double_t AliCollisionNormalization::ComputeNint() {
267
268 // Compute the number of collisions applying all corrections
0d300b4f 269 // TODO: check error propagation
9b0cb3c3 270
271 TH1 * hVzData = fHistVzData->ProjectionX("_px",2,-1,"E"); // Skip zero bin
272 Int_t allEventsWithVertex = (Int_t) fHistVzData->Integral(0, fHistVzData->GetNbinsX()+1,
273 2, fHistVzData->GetNbinsY()+1); // include under/overflow!, skip 0 bin
274
275 // Assign histos reweighted with measured XS
276 TH2F * histVzMCGen = GetVzMCGen(-1);
277 TH2F * histVzMCTrg = GetVzMCTrg(-1);
278 TH2F * histVzMCRec = GetVzMCRec(-1);
279
0d300b4f 280 // Before we start: print number of input events to the physics
281 // selection: this allows to crosscheck that all runs were
282 // successfully processed (useful if running on grid: you may have a
283 // crash without noticing it).
284 AliInfo(Form("Input Events (No cuts: %d, After Phys. Sel.:%d)",
285 Int_t(fHistStat->GetBinContent(1,1)),
286 Int_t(fHistStat->GetBinContent(fHistStat->GetNbinsX(),1)))); // Fixme: will this change with a different trigger scheme?
287
9b0cb3c3 288 // Get or compute BG. This assumes the CINT1B suite
289 Double_t triggeredEventsWith0MultWithBG = fHistVzData->Integral(0, fHistVzData->GetNbinsX()+1,1, 1);
290 Double_t bg = 0; // This will include beam gas + accidentals
291 if (fHistStatBin0->GetNbinsY() > 4) { // FIXME: we need a better criterion to decide...
292 AliInfo("Using BG computed by Physics Selection");
293 bg = fHistStatBin0->GetBinContent(fHistStatBin0->GetNbinsX(),AliPhysicsSelection::kStatRowBG);
294 bg += fHistStatBin0->GetBinContent(fHistStatBin0->GetNbinsX(),AliPhysicsSelection::kStatRowAcc);
0d300b4f 295 Int_t cint1B = (Int_t) fHistStatBin0->GetBinContent(fHistStatBin0->GetNbinsX(),1);
296 if (cint1B != Int_t(triggeredEventsWith0MultWithBG)) {
297 AliWarning(Form("Events in bin0 from physics selection and local counter not consistent: %d - %d", cint1B, Int_t(triggeredEventsWith0MultWithBG)));
298 }
9b0cb3c3 299 } else {
300 AliInfo("Computing BG using CINT1A/B/C/E, ignoring intensities");
301 Int_t icol = fHistStatBin0->GetNbinsX();
302 Int_t cint1B = (Int_t) fHistStatBin0->GetBinContent(icol,1);
303 Int_t cint1A = (Int_t) fHistStatBin0->GetBinContent(icol,2);
304 Int_t cint1C = (Int_t) fHistStatBin0->GetBinContent(icol,3);
305 Int_t cint1E = (Int_t) fHistStatBin0->GetBinContent(icol,4);
306 bg = cint1A + cint1C-2*cint1E ;
307 if (cint1B != triggeredEventsWith0MultWithBG) {
308 AliWarning(Form("Events in bin0 from physics selection and local counter not consistent: %d - %d", cint1B, triggeredEventsWith0MultWithBG));
309 }
310 }
311
312 Double_t triggeredEventsWith0Mult = triggeredEventsWith0MultWithBG - bg;
313 if(fVerbose > 0) AliInfo(Form("Measured events with vertex: %d",allEventsWithVertex));
314 Double_t bin0 = fHistVzData->Integral(0, fHistVzData->GetNbinsX()+1,
315 1, 1);
316 if(fVerbose > 0) AliInfo(Form("Zero Bin, Meas: %2.2f, BG: %2.2f, Meas - BG: %2.2f", bin0, bg, triggeredEventsWith0Mult));
317
318 // This pointers are here so that I use the same names used in Jan Fiete's code (allows for faster/easier comparison)
319
320 TH2* eTrig = histVzMCTrg;
321 TH2* eTrigVtx = histVzMCRec;
322 TH1* eTrigVtx_projx = eTrigVtx->ProjectionX("eTrigVtx_projx", 2, eTrigVtx->GetNbinsX()+1);
323
324 // compute trigger and vertex efficiency
325 TH2 * effVtxTrig = (TH2*) histVzMCRec->Clone("effVtxTrig");
326 effVtxTrig->Reset();
327 effVtxTrig->Divide(histVzMCRec,histVzMCGen,1,1,"B");
328 // Apply correction to data to get corrected events
329 TH2 * correctedEvents = (TH2*) fHistVzData->Clone("correctedEvents");
330 correctedEvents->Divide(effVtxTrig);
331
332 // TH1 * correctedEvents = fHistVzData->ProjectionX("eTrigVtx_projx", 2, eTrigVtx->GetNbinsX()+1);
333
334 // loop over vertex bins
335 for (Int_t i = 1; i <= fHistVzData->GetNbinsX(); i++)
336 {
337 Double_t alpha = (Double_t) hVzData->GetBinContent(i) / allEventsWithVertex;
338 Double_t events = alpha * triggeredEventsWith0Mult;
339
340 if (histVzMCRec->GetBinContent(i,1) == 0)
341 continue;
342
343 Double_t fZ = eTrigVtx_projx->Integral(0, eTrigVtx_projx->GetNbinsX()+1) / eTrigVtx_projx->GetBinContent(i) *
344 eTrig->GetBinContent(i, 1) / eTrig->Integral(0, eTrig->GetNbinsX()+1, 1, 1);
345
346 events *= fZ;
347
348 // multiply with trigger correction
349 Double_t correction = histVzMCGen->GetBinContent(i,1)/histVzMCTrg->GetBinContent(i,1);
350 events *= correction;
351
352 if (fVerbose > 1) Printf(" Bin %d, alpha is %.2f%%, fZ is %.3f, number of events with 0 mult.: %.2f (MC comparison: %.2f)", i, alpha * 100., fZ, events,
353 histVzMCRec->GetBinContent(i,1));
354 correctedEvents->SetBinContent(i, 1, events);
355 }
356
357
358
359 // Integrate correctedEvents over full z range
360 Double_t allEvents = correctedEvents->Integral(0, correctedEvents->GetNbinsX()+1,0, correctedEvents->GetNbinsY()+1);
361 // Integrate correctedEvents over needed z range
362 Double_t allEventsZrange = correctedEvents->Integral(correctedEvents->GetXaxis()->FindBin(-fZRange), correctedEvents->GetXaxis()->FindBin(fZRange),
363 0, correctedEvents->GetNbinsY()+1);
364
365 if(fVerbose > 1) AliInfo(Form("Results in |Vz| < %3.3f",fZRange));
366 if(fVerbose > 1) AliInfo(Form(" Events in Bin0: %2.2f, With > 1 track: %2.2f, All corrected: %2.2f",
367 correctedEvents->Integral(correctedEvents->GetXaxis()->FindBin(-fZRange), correctedEvents->GetXaxis()->FindBin(fZRange),1,1),
368 correctedEvents->Integral(correctedEvents->GetXaxis()->FindBin(-fZRange), correctedEvents->GetXaxis()->FindBin(fZRange),
369 2,correctedEvents->GetNbinsX()+1),
370 allEventsZrange));
371 if(fVerbose > 1) {
372 Int_t nbin = histVzMCRec->GetNbinsX();
373 AliInfo(Form("Efficiency in the zero bin: %3.3f", histVzMCRec->Integral(0,nbin+1,1,1)/histVzMCGen->Integral(0,nbin+1,1,1) ));
374 }
375
0d300b4f 376
9b0cb3c3 377 AliInfo(Form("Number of collisions in full phase space: %2.2f", allEvents));
0d300b4f 378// effVtxTrig->Draw();
379// new TCanvas();
380// correctedEvents->Draw(); // FIXME: debug
9b0cb3c3 381
382 return allEvents;
383}
384
385Long64_t AliCollisionNormalization::Merge(TCollection* list)
386{
387 // Merge a list of AliCollisionNormalization objects with this
388 // (needed for PROOF).
389 // Returns the number of merged objects (including this).
390
391 if (!list)
392 return 0;
393
394 if (list->IsEmpty())
395 return 1;
396
397 TIterator* iter = list->MakeIterator();
398 TObject* obj;
399
400 // collections of all histograms
0d300b4f 401 const Int_t nHists = kNProcs*3+5;
9b0cb3c3 402 TList collections[nHists];
403
404 Int_t count = 0;
405 while ((obj = iter->Next())) {
406
407 AliCollisionNormalization* entry = dynamic_cast<AliCollisionNormalization*> (obj);
408 if (entry == 0)
409 continue;
410 Int_t ihist = -1;
411
412 for(Int_t iproc = 0; iproc < kNProcs; iproc++){
413 if (entry->fHistVzMCGen[iproc] ) collections[++ihist].Add(entry->fHistVzMCGen[iproc] );
414 if (entry->fHistVzMCRec[iproc] ) collections[++ihist].Add(entry->fHistVzMCRec[iproc] );
415 if (entry->fHistVzMCTrg[iproc] ) collections[++ihist].Add(entry->fHistVzMCTrg[iproc] );
416 }
417 if (entry->fHistVzData ) collections[++ihist].Add(entry->fHistVzData );
418 if (entry->fHistProcTypes ) collections[++ihist].Add(entry->fHistProcTypes );
419 if (entry->fHistStatBin0 ) collections[++ihist].Add(entry->fHistStatBin0 );
0d300b4f 420 if (entry->fHistStat ) collections[++ihist].Add(entry->fHistStat );
9b0cb3c3 421
422 count++;
423 }
424
425 Int_t ihist = -1;
426 for(Int_t iproc = 0; iproc < kNProcs; iproc++){
427 if (fHistVzMCGen[iproc] ) fHistVzMCGen[iproc] ->Merge(&collections[++ihist]);
428 if (fHistVzMCRec[iproc] ) fHistVzMCRec[iproc] ->Merge(&collections[++ihist]);
429 if (fHistVzMCTrg[iproc] ) fHistVzMCTrg[iproc] ->Merge(&collections[++ihist]);
430
431 }
432 if (fHistVzData ) fHistVzData ->Merge(&collections[++ihist]);
433 if (fHistProcTypes ) fHistProcTypes ->Merge(&collections[++ihist]);
434 if (fHistStatBin0 ) fHistStatBin0 ->Merge(&collections[++ihist]);
0d300b4f 435 if (fHistStat ) fHistStat ->Merge(&collections[++ihist]);
9b0cb3c3 436
437
438 delete iter;
439
440 return count+1;
441}
442
443void AliCollisionNormalization::FillVzMCGen(Float_t vz, Int_t ntrk, AliMCEvent * mcEvt) {
444
445 // Fill MC gen histo and the process types statistics
446
447 Int_t evtype = GetProcessType(mcEvt);
448 // When I fill gen histos, I also fill statistics of process types (used to detemine ratios afterwards).
449 fHistProcTypes->Fill(evtype);
450 fHistVzMCGen[evtype]->Fill(vz,ntrk);
451}
452
453void AliCollisionNormalization::FillVzMCRec(Float_t vz, Int_t ntrk, AliMCEvent * mcEvt){
454
455 // Fill MC rec histo
456 Int_t evtype = GetProcessType(mcEvt);
457 fHistVzMCRec[evtype]->Fill(vz,ntrk);
458
459}
460void AliCollisionNormalization::FillVzMCTrg(Float_t vz, Int_t ntrk, AliMCEvent * mcEvt) {
461
462 // Fill MC trg histo
463 Int_t evtype = GetProcessType(mcEvt);
464 fHistVzMCTrg[evtype]->Fill(vz,ntrk);
465}
466
467
468Int_t AliCollisionNormalization::GetProcessType(AliMCEvent * mcEvt) {
469
470 // Determine if the event was generated with pythia or phojet and return the process type
471
472 // Check if mcEvt is fine
473 if (!mcEvt) {
474 AliFatal("NULL mc event");
475 }
476
477 // Determine if it was a pythia or phojet header, and return the correct process type
478 AliGenPythiaEventHeader * headPy = 0;
479 AliGenDPMjetEventHeader * headPho = 0;
480 AliGenEventHeader * htmp = mcEvt->GenEventHeader();
481 if(!htmp) {
482 AliFatal("Cannot Get MC Header!!");
483 }
484 if( TString(htmp->IsA()->GetName()) == "AliGenPythiaEventHeader") {
485 headPy = (AliGenPythiaEventHeader*) htmp;
486 } else if (TString(htmp->IsA()->GetName()) == "AliGenDPMjetEventHeader") {
487 headPho = (AliGenDPMjetEventHeader*) htmp;
488 } else {
489 AliError("Unknown header");
490 }
491
492 // Determine process type
493 if(headPy) {
494 if(headPy->ProcessType() == 92 || headPy->ProcessType() == 93) {
495 // single difractive
496 return kProcSD;
497 } else if (headPy->ProcessType() == 94) {
498 // double diffractive
499 return kProcDD;
500 }
501 else if(headPy->ProcessType() != 92 && headPy->ProcessType() != 93 && headPy->ProcessType() != 94) {
502 // non difractive
503 return kProcND;
504 }
505 } else if (headPho) {
506 if(headPho->ProcessType() == 5 || headPho->ProcessType() == 6 ) {
507 // single difractive
508 return kProcSD;
509 } else if (headPho->ProcessType() == 7) {
510 // double diffractive
511 return kProcDD;
512 } else if(headPho->ProcessType() != 5 && headPho->ProcessType() != 6 && headPho->ProcessType() != 7 ) {
513 // non difractive
514 return kProcND;
515 }
516 }
517
518
519 // no process type found?
520 AliError(Form("Unknown header: %s", htmp->IsA()->GetName()));
521 return kProcUnknown;
522}
523
524Double_t AliCollisionNormalization::GetProcessWeight(Int_t proc) {
525
526 // Return a weight to be used when combining the MC histos to
0d300b4f 527 // compute efficiency, defined as the ratio XS in generator / XS
528 // measured
9b0cb3c3 529
530 Float_t ref_SD, ref_DD, ref_ND, error_SD, error_DD, error_ND;
531 GetRelativeFractions(fReferenceXS,ref_SD, ref_DD, ref_ND, error_SD, error_DD, error_ND);
532
533 static Double_t total = fHistProcTypes->Integral();
534 if (fHistProcTypes->GetBinContent(fHistProcTypes->FindBin(kProcUnknown)) > 0) {
535 AliError("There were unknown processes!!!");
536 }
537 static Double_t SD = fHistProcTypes->GetBinContent(fHistProcTypes->FindBin(kProcSD))/total;
538 static Double_t DD = fHistProcTypes->GetBinContent(fHistProcTypes->FindBin(kProcDD))/total;
539 static Double_t ND = fHistProcTypes->GetBinContent(fHistProcTypes->FindBin(kProcND))/total;
540
541 if (fVerbose > 2) {
542 AliInfo(Form("Total MC evts: %f",total));
543 AliInfo(Form(" Frac SD %4.4f", SD));
544 AliInfo(Form(" Frac DD %4.4f", DD));
545 AliInfo(Form(" Frac ND %4.4f", ND));
546 }
547
548 switch(proc) {
549 case kProcSD:
550 return ref_SD/SD;
551 break;
552 case kProcDD:
553 return ref_DD/DD;
554 break;
555 case kProcND:
556 return ref_ND/ND;
557 break;
558 default:
559 AliError("Unknown process");
560 }
561
562 return 0;
563
564}
565
566void AliCollisionNormalization::GetRelativeFractions(Int_t origin, Float_t& ref_SD, Float_t& ref_DD, Float_t& ref_ND, Float_t& error_SD, Float_t& error_DD, Float_t& error_ND)
567{
568 // Returns fraction of XS (SD, ND, DD) and corresponding error
569 // Stolen from Jan Fiete's drawSystematics macro
570
571 // origin:
572 // -1 = Pythia (test)
573 // 0 = UA5
574 // 1 = Data 1.8 TeV
575 // 2 = Tel-Aviv
576 // 3 = Durham
577 //
578
0d300b4f 579 Double_t epsilon = 0.0001;
580 if(TMath::Abs(fEnergy-900)<epsilon) {
581
582 switch (origin)
583 {
584 case -10: // Pythia default at 7 GeV, 50% error
585 AliInfo("PYTHIA x-sections");
586 ref_SD = 0.192637; error_SD = ref_SD * 0.5;
587 ref_DD = 0.129877; error_DD = ref_DD * 0.5;
588 ref_ND = 0.677486; error_ND = 0;
589 break;
590
591 case -1: // Pythia default at 900 GeV, as test
592 AliInfo("PYTHIA x-sections");
9b0cb3c3 593 ref_SD = 0.223788;
594 ref_DD = 0.123315;
595 ref_ND = 0.652897;
596 break;
597
0d300b4f 598 case 0: // UA5
599 AliInfo("UA5 x-sections a la first paper");
600 ref_SD = 0.153; error_SD = 0.05;
601 ref_DD = 0.080; error_DD = 0.05;
602 ref_ND = 0.767; error_ND = 0;
603 break;
604
605 case 10: // UA5
606 AliInfo("UA5 x-sections hadron level definition for Pythia");
607 // Fractions in Pythia with UA5 cuts selection for SD
608 // ND: 0.688662
609 // SD: 0.188588 --> this should be 15.3
610 // DD: 0.122750
611 ref_SD = 0.224 * 0.153 / 0.189; error_SD = 0.023 * 0.224 / 0.189;
612 ref_DD = 0.095; error_DD = 0.06;
613 ref_ND = 1.0 - ref_SD - ref_DD; error_ND = 0;
614 break;
615
616 case 11: // UA5
617 AliInfo("UA5 x-sections hadron level definition for Phojet");
618 // Fractions in Phojet with UA5 cuts selection for SD
619 // ND: 0.783573
620 // SD: 0.151601 --> this should be 15.3
621 // DD: 0.064827
622 ref_SD = 0.191 * 0.153 / 0.152; error_SD = 0.023 * 0.191 / 0.152;
623 ref_DD = 0.095; error_DD = 0.06;
624 ref_ND = 1.0 - ref_SD - ref_DD; error_ND = 0;
625 break;
626 case 2: // tel-aviv model
627 AliInfo("Tel-aviv model x-sections");
628 ref_SD = 0.171;
629 ref_DD = 0.094;
630 ref_ND = 1 - ref_SD - ref_DD;
631 break;
632
633 case 3: // durham model
634 AliInfo("Durham model x-sections");
635 ref_SD = 0.190;
636 ref_DD = 0.125;
637 ref_ND = 1 - ref_SD - ref_DD;
9b0cb3c3 638 break;
0d300b4f 639 default:
640 AliFatal(Form("Unknown origin %d, Energy %f", origin, fEnergy));
641 }
642 }
643 else if(TMath::Abs(fEnergy-1800)<epsilon) {
644 switch (origin)
645 {
646 case 20: // E710, 1.8 TeV
9b0cb3c3 647 AliInfo("E710 x-sections hadron level definition for Pythia");
648 // ND: 0.705709
649 // SD: 0.166590 --> this should be 15.9
650 // DD: 0.127701
651 ref_SD = 0.217 * 0.159 / 0.167; error_SD = 0.024 * 0.217 / 0.167;
652 ref_DD = 0.075 * 1.43; error_DD = 0.02 * 1.43;
653 ref_ND = 1.0 - ref_SD - ref_DD; error_ND = 0;
654 break;
655
0d300b4f 656 case 21: // E710, 1.8 TeV
657 AliInfo("E710 x-sections hadron level definition for Phojet");
658 // ND: 0.817462
659 // SD: 0.125506 --> this should be 15.9
660 // DD: 0.057032
661 ref_SD = 0.161 * 0.159 / 0.126; error_SD = 0.024 * 0.161 / 0.126;
662 ref_DD = 0.075 * 1.43; error_DD = 0.02 * 1.43;
663 ref_ND = 1.0 - ref_SD - ref_DD; error_ND = 0;
664 break;
665
666 case 1: // data 1.8 TeV
667 AliInfo("??? x-sections");
668 ref_SD = 0.152;
669 ref_DD = 0.092;
670 ref_ND = 1 - ref_SD - ref_DD;
671 break;
672 default:
673 AliFatal(Form("Unknown origin %d, Energy %f", origin, fEnergy));
674 }
675 }
676 else {
677 AliFatal(Form("Unknown energy %f", origin, fEnergy));
9b0cb3c3 678 }
0d300b4f 679
9b0cb3c3 680}
681
0d300b4f 682