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286382a3 | 1 | /************************************************************************** |
2 | * Copyright(c) 2008-2010, ALICE Experiment at CERN, All rights reserved. * | |
3 | * * | |
4 | * Author: The ALICE Off-line Project. * | |
5 | * Contributors are mentioned in the code where appropriate. * | |
6 | * * | |
7 | * Permission to use, copy, modify and distribute this software and its * | |
8 | * documentation strictly for non-commercial purposes is hereby granted * | |
9 | * without fee, provided that the above copyright notice appears in all * | |
10 | * copies and that both the copyright notice and this permission notice * | |
11 | * appear in the supporting documentation. The authors make no claims * | |
12 | * about the suitability of this software for any purpose. It is * | |
13 | * provided "as is" without express or implied warranty. * | |
14 | **************************************************************************/ | |
15 | ||
16 | /* $Id$ */ | |
17 | ||
18 | //////////////////////////////////////////////////////////// | |
19 | // Author: A. Mastroserio // | |
20 | // This class is used in the detector algorithm framework // | |
21 | // to process the data stored in special container files // | |
22 | // (see AliITSOnlineSPDfo). The "good" set of DAC values // | |
23 | // is extracted. // | |
24 | //////////////////////////////////////////////////////////// | |
25 | ||
26 | #include <TFile.h> | |
27 | #include <TMath.h> | |
28 | #include <TString.h> | |
29 | #include <TStyle.h> | |
30 | #include <TF1.h> | |
31 | #include <TH1D.h> | |
32 | #include <TH2D.h> | |
33 | #include <TArrayI.h> | |
34 | #include <TCanvas.h> | |
35 | #include <THnSparse.h> | |
36 | #include <TKey.h> | |
37 | #include <iostream> | |
38 | #include <fstream> | |
39 | #include "AliITSOnlineSPDfoChipConfig.h" | |
40 | #include "AliITSOnlineSPDfoChip.h" | |
41 | #include "AliITSOnlineSPDfoInfo.h" | |
42 | #include "AliITSOnlineSPDfo.h" | |
43 | #include "AliITSOnlineSPDfoAnalyzer.h" | |
44 | #include "AliLog.h" | |
45 | ||
46 | AliITSOnlineSPDfoAnalyzer::AliITSOnlineSPDfoAnalyzer(const TString fileName, Bool_t readFromGridFile) : | |
47 | fFileName(0), | |
48 | fNdims(0), | |
49 | fNbins(0x0), | |
50 | fXmin(0x0), | |
51 | fXmax(0x0), | |
52 | fFOHandler(0x0), | |
53 | fHighOccupancyCheck(kTRUE) | |
54 | { | |
55 | // constructor | |
56 | fFileName = fileName; | |
57 | for(Int_t iqual =0; iqual<kNqualityFlags; iqual++) fGeneralThresholds[iqual]=0; | |
58 | ||
59 | for (UInt_t chipNr=0; chipNr<10; chipNr++) { | |
60 | for (UInt_t hs=0; hs<6; hs++) { | |
61 | for(Int_t i =0; i< kNqualityFlags; i++) fNh[i][hs][chipNr]=NULL; | |
62 | } | |
63 | } | |
64 | ||
65 | Init(readFromGridFile); | |
66 | } | |
67 | //------------------------------------------------------------------- | |
68 | AliITSOnlineSPDfoAnalyzer::AliITSOnlineSPDfoAnalyzer(const AliITSOnlineSPDfoAnalyzer& foan) : | |
69 | fFileName(foan.fFileName), | |
70 | fNdims(foan.fNdims), | |
71 | fNbins(foan.fNbins), | |
72 | fXmin(foan.fXmin), | |
73 | fXmax(foan.fXmax), | |
74 | fFOHandler(foan.fFOHandler), | |
75 | fHighOccupancyCheck(foan.fHighOccupancyCheck) | |
76 | { | |
77 | // | |
78 | // copy constructor, only copies the filename and params (not the processed data | |
79 | // | |
80 | ||
81 | for(Int_t iqual =0; iqual<3; iqual++) fGeneralThresholds[iqual] =foan.fGeneralThresholds[iqual]; | |
82 | for (UInt_t chipNr=0; chipNr<11; chipNr++) { | |
83 | for (UInt_t hs=0; hs<6; hs++) { | |
84 | for(Int_t i=0; i<kNqualityFlags;i++) fNh[i][hs][chipNr]=NULL; | |
85 | } | |
86 | } | |
87 | ||
88 | Init(); | |
89 | } | |
90 | //------------------------------------------------------------------- | |
91 | AliITSOnlineSPDfoAnalyzer::~AliITSOnlineSPDfoAnalyzer() | |
92 | { | |
93 | // | |
94 | // destructor | |
95 | // | |
96 | ||
97 | for (UInt_t hs=0; hs<6; hs++) { | |
98 | for (UInt_t chipNr=0; chipNr<11; chipNr++) { | |
99 | for(Int_t i=0; i<kNqualityFlags ; i++ ) if(fNh[i][hs][chipNr]!=NULL) delete fNh[i][hs][chipNr]; | |
100 | } | |
101 | } | |
102 | delete fFOHandler; | |
103 | } | |
104 | //------------------------------------------------------------------- | |
105 | AliITSOnlineSPDfoAnalyzer& AliITSOnlineSPDfoAnalyzer::operator=(const AliITSOnlineSPDfoAnalyzer& foan) | |
106 | { | |
107 | // assignment operator, only copies the filename and params (not the processed data) | |
108 | if (this!=&foan) { | |
109 | for (UInt_t hs=0; hs<6; hs++) { | |
110 | for (UInt_t chipNr=0; chipNr<11; chipNr++) { | |
111 | for(Int_t i=0; i<kNqualityFlags ; i++ ) if(fNh[i][hs][chipNr]!=NULL) delete fNh[i][hs][chipNr]; | |
112 | } | |
113 | } | |
114 | ||
115 | fFileName=foan.fFileName; | |
116 | fHighOccupancyCheck=foan.fHighOccupancyCheck; | |
117 | Init(); | |
118 | } | |
119 | return *this; | |
120 | } | |
121 | //------------------------------------------------------------------- | |
122 | void AliITSOnlineSPDfoAnalyzer::Init(Bool_t readFromGridFile) | |
123 | { | |
124 | // | |
125 | // first checks type of container and then initializes container obj | |
126 | // | |
127 | if (!readFromGridFile) { | |
128 | TFile* p0 = TFile::Open(fFileName.Data()); | |
129 | if (p0 == NULL) { | |
130 | printf("no file open!"); | |
131 | return; | |
132 | } | |
133 | else { | |
134 | fFOHandler = new AliITSOnlineSPDfo(); | |
135 | fFOHandler->SetFile(fFileName); | |
136 | } | |
137 | p0->Close(); | |
138 | } | |
139 | } | |
140 | //------------------------------------------------------------------- | |
141 | void AliITSOnlineSPDfoAnalyzer::SetGeneralThresholds(Float_t thre[3]) | |
142 | { | |
143 | // here the settings for the 3 quality flags are defined | |
144 | for(Int_t i=0; i< 3; i++) fGeneralThresholds[i]=thre[i]; | |
145 | } | |
146 | //------------------------------------------------------------------- | |
147 | void AliITSOnlineSPDfoAnalyzer::SetNdimensions() | |
148 | { | |
149 | // | |
150 | // here the axis of the N-dim histograms are setted | |
151 | // | |
152 | if(!fFOHandler) { | |
153 | printf("no fo object. Exiting...\n"); | |
154 | return; | |
155 | } | |
156 | ||
157 | TArrayI array = fFOHandler->GetDACscanParams(); | |
158 | fNdims = array.GetSize()/3; | |
159 | fNbins = new Int_t[fNdims]; | |
160 | fXmin = new Double_t[fNdims]; | |
161 | fXmax = new Double_t[fNdims]; | |
162 | for(Int_t i=0; i< fNdims; i++){ | |
163 | fXmin[i] = array.At(3*i)-0.25; | |
164 | fXmax[i] = array.At(3*i+1)+0.25; | |
165 | fNbins[i] = (Int_t)((fXmax[i]-fXmin[i])/0.5)+1;//to avoid Int->Double conversion problems when checking results. | |
166 | } | |
167 | } | |
168 | //------------------------------------------------------------------- | |
169 | void AliITSOnlineSPDfoAnalyzer::BuildTHnSparse(Int_t ihs, Int_t ichip) | |
170 | { | |
171 | // | |
172 | // here the N-dim histogram is booked per chip in one HS | |
173 | // | |
174 | ||
175 | if(!fNdims) SetNdimensions(); | |
176 | ||
177 | for(Int_t iqual =0; iqual < 3; iqual++) fNh[iqual][ihs][ichip] = new THnSparseI(Form("h%i_HS%i_C%i",iqual,ihs,ichip), Form("h%i_HS%i_C%i",iqual,ihs,ichip), fNdims, fNbins, fXmin, fXmax); | |
178 | } | |
179 | //------------------------------------------------------------------- | |
180 | Int_t AliITSOnlineSPDfoAnalyzer::Select(const AliITSOnlineSPDfoChip *chip) const | |
181 | { | |
182 | // | |
183 | // Selects the DAC values if in the chip: the I configuration corresponds to | |
184 | // 0% efficiency ( no FO response case). All the others shoud be within the | |
185 | // predefined thresholds | |
186 | ||
187 | if(!fFOHandler->GetFOscanInfo()) { | |
188 | printf("no general information object in the file. Exiting...\n"); | |
189 | return -1; | |
190 | } | |
191 | ||
192 | Double_t npulses = (fFOHandler->GetFOscanInfo())->GetNumTriggers(); | |
193 | ||
194 | if(npulses == 0. ) { | |
195 | Info("AliITSOnlineSPDfoAnalyzer::Select","no trigger pulses set. Exiting..."); | |
196 | return -999; | |
197 | } | |
198 | ||
199 | TObjArray *array = chip->GetChipConfigInfo(); | |
200 | if(!array) { | |
201 | printf("No measurement array found in the chip!!\n"); | |
202 | return 0; | |
203 | } | |
204 | ||
205 | Int_t quality = -1; | |
206 | ||
207 | Float_t counts = 0; | |
208 | ||
209 | Int_t processedconfigurations = chip->GetNumberOfChipConfigs(); | |
210 | if(fHighOccupancyCheck) processedconfigurations-=1; | |
211 | ||
212 | for(Int_t isteps =0; isteps < processedconfigurations; isteps++){ | |
213 | ||
214 | Int_t matrixId = ((AliITSOnlineSPDfoChipConfig*)array->At(isteps))->GetChipConfigMatrixId(); | |
215 | counts = (Float_t)(((AliITSOnlineSPDfoChipConfig*)array->At(isteps))->GetChipConfigCounter()); | |
216 | ||
217 | if(matrixId==0 && counts > 0) return -1; | |
218 | ||
219 | Float_t efficiency = counts/npulses; | |
220 | ||
221 | if(isteps > 0){ | |
222 | Int_t response = IsSelected(efficiency); | |
223 | if( response >=0) { | |
224 | if(quality < response) quality = response; | |
225 | } | |
226 | else return -1; | |
227 | } | |
228 | } | |
229 | return quality; | |
230 | } | |
231 | //----------------------------------------------------- | |
232 | Int_t AliITSOnlineSPDfoAnalyzer::IsSelected(Float_t eff) const | |
233 | { | |
234 | // | |
235 | // returns the quality of the selection | |
236 | // | |
237 | for(Int_t i=0; i<3; i++){ | |
238 | if(eff <= 1.+ fGeneralThresholds[i] && eff >= 1. - fGeneralThresholds[i] ) return i; | |
239 | } | |
240 | return -1; | |
241 | } | |
242 | //---------------------------------------------------- | |
243 | void AliITSOnlineSPDfoAnalyzer::Process() | |
244 | { | |
245 | // | |
246 | // The procedure is the following: | |
247 | // - DAC 4-tuples are checked | |
248 | // - if the 4-tuple survives the selection, the chip-related histograms are filled. | |
249 | // (- Per each histogram the mean values of each axis are taken) | |
250 | // | |
251 | if(!fFOHandler) { | |
252 | Warning("AliITSOnlineSPDfoAnalyzer::Process","no fo object. Exiting.. \n"); | |
253 | return; | |
254 | } | |
255 | ||
256 | TKey *key; | |
257 | Double_t *dacvalues; | |
258 | ||
259 | TIter iter((fFOHandler->GetFile())->GetListOfKeys()); | |
260 | while ((key = (TKey*)(iter.Next()))) { | |
261 | TString classname = key->GetClassName(); | |
262 | if(classname.Contains("OnlineSPD")) break; | |
263 | ||
264 | TObjArray *array = (TObjArray*)(fFOHandler->GetFile())->Get(key->GetName()); // array of chips corresponding to the DACS (size 1-60) | |
265 | if(!array){ | |
266 | printf("no array found! Exiting..."); | |
267 | break; | |
268 | } | |
269 | ||
270 | dacvalues = fFOHandler->GetDACvaluesD(key->GetName(), GetFOHandler()->GetFOscanInfo()->GetNumDACindex()); | |
271 | ||
272 | for(Int_t i=0; i< array->GetSize(); i++){ | |
273 | AliITSOnlineSPDfoChip *chip = (AliITSOnlineSPDfoChip *)array->At(i); | |
274 | if(!chip) continue; | |
275 | Int_t hs = chip->GetActiveHS(); | |
276 | Int_t chipid = chip->GetChipId(); | |
277 | Int_t quality = Select(chip); | |
278 | if(quality<0) continue; | |
279 | if(!fNh[quality][hs][chipid]) BuildTHnSparse(hs,chipid); | |
280 | fNh[quality][hs][chipid]->Fill(dacvalues); | |
281 | } | |
282 | } | |
283 | } | |
284 | //--------------------------------------------- | |
285 | void AliITSOnlineSPDfoAnalyzer::WriteToFile(TString outputfile) | |
286 | { | |
287 | // | |
288 | // The 4-dim histograms are stored into a file | |
289 | // | |
290 | ||
291 | TFile * f = TFile::Open(outputfile.Data(),"recreate"); | |
292 | for(Int_t ihs =0; ihs < 6; ihs++) { | |
293 | for(Int_t ichip =0; ichip < 10; ichip++){ | |
294 | for(Int_t i=0; i<kNqualityFlags ; i++ ) if(fNh[i][ihs][ichip]) f->WriteObjectAny(fNh[i][ihs][ichip],"THnSparse",Form("h%i_hs%i_chip%i",i,ihs,ichip)); | |
295 | } | |
296 | } | |
297 | f->Close(); | |
298 | } | |
299 | //--------------------------------------------- | |
300 | void AliITSOnlineSPDfoAnalyzer::CheckResults(TString filename, Int_t hs, Int_t ichip, Int_t iqual) const | |
301 | { | |
302 | // | |
303 | //The chip related 4-dim histograms are produced and stored into eps files | |
304 | // | |
305 | ||
306 | TFile *f = TFile::Open(filename.Data()); | |
307 | if(!f) { | |
308 | Info("AliITSOnlineSPDfoAnalyzer::CehckResults","no file open!. Exiting...\n"); | |
309 | return; | |
310 | } | |
311 | ||
312 | THnSparse *hn; | |
313 | TObject *obj; | |
314 | ||
315 | TIter iter(f->GetListOfKeys()); | |
316 | while((obj=iter.Next())){ | |
317 | TString name = obj->GetName(); | |
318 | hn=(THnSparse*)f->Get(name.Data()); | |
319 | if(name.Contains(Form("hs%i",hs)) && name.Contains(Form("chip%i",ichip)) && name.Contains(Form("h%i",iqual))) GetCanvases(hn,hs,ichip,iqual); | |
320 | } | |
321 | } | |
322 | //----------------------------------------------------------------------------------------------- | |
323 | void AliITSOnlineSPDfoAnalyzer::GetCanvases(const THnSparse *hn,Int_t hs, Int_t chip, Int_t iqual) const | |
324 | { | |
325 | // | |
326 | // 1-Dim and 2 Dim Projections of 4-dim histograms are visualized in canvases per quality selection | |
327 | // | |
328 | // | |
329 | ||
330 | if(!hn) {printf("no thnsparse...exiting!"); return;} | |
331 | ||
332 | gStyle->SetPalette(1); | |
333 | ||
334 | TString dacname[4]; | |
335 | ||
336 | if( (fFOHandler->GetFOscanInfo())->GetDACindex(0) == 20 ) dacname[0] = "FOPOL"; | |
337 | else dacname[0] = "possible DAC-name/ DAC-register-number mismatch"; | |
338 | if( (fFOHandler->GetFOscanInfo())->GetDACindex(1) == 17 ) dacname[1] = "CONVPOL"; | |
339 | else dacname[1] = "possible DAC-name/ DAC-register-number mismatch"; | |
340 | if( (fFOHandler->GetFOscanInfo())->GetDACindex(2) == 16 ) dacname[2] = "COMPREF"; | |
341 | else dacname[2] = "possible DAC-name/ DAC-register-number mismatch"; | |
342 | if( (fFOHandler->GetFOscanInfo())->GetDACindex(3) == 39 ) dacname[3] = "pre_VTH"; | |
343 | else dacname[3] = "possible DAC-name/ DAC-register-number mismatch"; | |
344 | ||
345 | TString titles = Form("|eff-1| <= %f for CHIP %i in HS %i",fGeneralThresholds[iqual],hs,chip); | |
346 | TCanvas *c[3]; | |
347 | ||
348 | for(Int_t i=0; i<2; i++) { | |
349 | c[i] = new TCanvas(Form("c%i",i+1),Form(" %i DIM plots. %s ",i+1,titles.Data()),1200,800); | |
350 | c[i]->Divide(2,2); | |
351 | } | |
352 | ||
353 | ||
354 | for(Int_t idim =0; idim<2; idim++){ | |
355 | for(Int_t k=1; k<5; k++){ | |
356 | c[idim]->cd(k); | |
357 | ||
358 | TH1D *h1 =0x0; | |
359 | TH2D *h2=0x0; | |
360 | if(idim == 0) { | |
361 | h1 = hn->Projection(k-1); | |
362 | if(!h1) printf("no histogram!!...\n\n\n"); | |
363 | h1->SetXTitle(Form("DAC %i ( %s )",k-1,dacname[k-1].Data())); | |
364 | h1->SetYTitle("entries (eff within thresholds)"); | |
365 | h1->Draw(); | |
366 | } | |
367 | ||
368 | if(idim==1) { | |
369 | if(k<4){ | |
370 | h2 = hn->Projection(k-1,k); | |
371 | h2->SetXTitle(Form("DAC %i ( %s )",k,dacname[k].Data())); h2->SetYTitle(Form("DAC %i ( %s )",k-1,dacname[k-1].Data())); | |
372 | h2->SetTitleOffset(2,"Y"); h2->SetTitleOffset(1.5,"X"); | |
373 | } else { | |
374 | h2 = hn->Projection(0,3); | |
375 | h2->SetXTitle(Form("DAC %i ( %s )",3,dacname[3].Data())); h2->SetYTitle(Form("DAC %i ( %s )",0, dacname[0].Data())); | |
376 | h2->SetTitleOffset(2,"Y"); h2->SetTitleOffset(1.5,"X"); | |
377 | } | |
378 | ||
379 | h2->Draw("lego2"); | |
380 | } | |
381 | }// k loop | |
382 | ||
383 | c[idim]->SaveAs(Form("c%iDIM_%i_%i_%i.eps",idim,iqual,hs,chip)); | |
384 | }// idim loop | |
385 | } | |
386 | //----------------------------------------------------- | |
387 | TArrayI AliITSOnlineSPDfoAnalyzer::ChooseDACValues(Int_t hs, Int_t chip) const | |
388 | { | |
389 | // | |
390 | // here the "best" 4 dacs are chosen. The most present are taken. | |
391 | // If the n-tuple does not correspond to a meaningful entry, the | |
392 | // closest value to the mean point in the n-dimensional histogram | |
393 | // is taken. | |
394 | ||
395 | TH1D *h=0x0; | |
396 | TArrayI dacs(fNdims+1); | |
397 | ||
398 | for(Int_t i=0; i<fNdims+1; i++) dacs.AddAt(-1,i); | |
399 | ||
400 | for(Int_t iqual =0; iqual < kNqualityFlags; iqual++){ | |
401 | if(!fNh[iqual][hs][chip]) continue; | |
402 | if(fNh[iqual][hs][chip]->GetEntries()==0) continue; | |
403 | for(Int_t idim =0; idim<fNdims; idim++){ | |
404 | if(dacs.At(idim)>=0) continue; | |
405 | h = fNh[iqual][hs][chip]->Projection(idim); | |
406 | dacs.AddAt((Int_t)h->GetBinLowEdge(h->GetMaximumBin()+1),idim); | |
407 | Int_t bin=-1; | |
408 | if(idim == fFOHandler->kPreVTH && CorrectPreVTHChioce(h,bin) ) { | |
409 | dacs.AddAt((Int_t)h->GetBinLowEdge(bin+1),idim); | |
410 | } | |
411 | dacs.AddAt(iqual,fNdims); | |
412 | }//idim | |
413 | }//iqual | |
414 | ||
415 | if(!IsExisting(dacs,hs,chip) && dacs.At(fNdims)>-1) { | |
416 | TArrayI centraldacs = GetCentralDACS(dacs.At(fNdims),hs,chip,h); | |
417 | dacs = centraldacs; | |
418 | } | |
419 | return dacs; | |
420 | } | |
421 | //_____________________________________________________ | |
422 | Bool_t AliITSOnlineSPDfoAnalyzer::IsExisting(TArrayI dacs,Int_t hs, Int_t chip) const | |
423 | { | |
424 | // | |
425 | // check the N-tuple corresponds to a real one | |
426 | // | |
427 | ||
428 | if(dacs.At(fNdims)<0) return kFALSE; | |
429 | Bool_t isOk = kFALSE; | |
430 | ||
431 | Int_t size = dacs.GetSize()-1; | |
432 | Double_t *entry = new Double_t[size]; | |
433 | for(Int_t i=0; i<size; i++) entry[i] = dacs.At(i); | |
434 | Int_t checkbin = fNh[dacs.At(dacs.GetSize()-1)][hs][chip]->GetBin(entry,kFALSE); // kFALSE does not allocate another bin | |
435 | if(checkbin > -1) isOk = kTRUE; | |
436 | delete entry; | |
437 | return isOk; | |
438 | } | |
439 | //----------------------------------------------------------- | |
440 | TArrayI AliITSOnlineSPDfoAnalyzer::GetCentralDACS(Int_t qualityflag, Int_t hs, Int_t chip, const TH1D *hd) const | |
441 | { | |
442 | // | |
443 | // This method gets the DAC values which are closest to the mean point in the N-dim histogram | |
444 | // It is called when the most probable DAC set does not correspond to a real entry in the N-dim | |
445 | // histogram. | |
446 | // | |
447 | ||
448 | TArrayI dacs(fNdims+1); | |
449 | ||
450 | Double_t *mean=new Double_t[fNdims]; | |
451 | Int_t *goodbins=new Int_t[fNdims]; | |
452 | Double_t distance = 99999; | |
453 | for(Int_t i=0; i<fNdims ;i++){ | |
454 | mean[i]=hd->GetMean(); | |
455 | goodbins[i]=0; | |
456 | dacs.AddAt(-1,i); | |
457 | } | |
458 | ||
459 | Int_t *bins = new Int_t[fNdims]; | |
460 | Double_t *val=new Double_t[fNdims]; | |
461 | ||
462 | for(Int_t in=0; in< fNh[qualityflag][hs][chip]->GetNbins() ; in++){ | |
463 | ||
464 | fNh[qualityflag][hs][chip]->GetBinContent(in,bins); | |
465 | Double_t r2 = 0; | |
466 | for(Int_t j=0; j<fNdims; j++) { | |
467 | val[j]=hd->GetBinCenter(bins[j]); | |
468 | r2+=TMath::Power(val[j]-mean[j],2); | |
469 | } | |
470 | ||
471 | if(r2<distance) { | |
472 | distance = r2; | |
473 | fNh[qualityflag][hs][chip]->GetBinContent(in,goodbins); | |
474 | } | |
475 | } | |
476 | ||
477 | for(Int_t k=0; k<fNdims; k++) { | |
478 | Int_t a = (Int_t)( hd->GetBinCenter(goodbins[k]) + 0.5 *hd->GetBinWidth(goodbins[k]) ); | |
479 | dacs.AddAt(a,k); | |
480 | } | |
481 | dacs.AddAt(qualityflag,fNdims); | |
482 | ||
483 | delete mean; | |
484 | delete goodbins; | |
485 | delete bins; | |
486 | delete val; | |
487 | return dacs; | |
488 | } | |
489 | //------------------------------------------------------- | |
490 | void AliITSOnlineSPDfoAnalyzer::ReadParamsFromLocation(const Char_t *dirName) | |
491 | { | |
492 | // | |
493 | // opens file (default name) in dir dirName and reads parameters from it | |
494 | // The file should be in database | |
495 | // | |
496 | ||
497 | TString paramsFileName = Form("./%s/focalib_params.txt",dirName); | |
498 | ||
499 | ifstream paramsFile; | |
500 | paramsFile.open(paramsFileName, ifstream::in); | |
501 | if (paramsFile.fail()) { | |
502 | printf("No config file (%s) present. Using default tuning parameters.\n",paramsFileName.Data()); | |
503 | } | |
504 | else { | |
505 | while(1) { | |
506 | Char_t paramN[50]; | |
507 | Char_t paramV[50]; | |
508 | paramsFile >> paramN; | |
509 | if (paramsFile.eof()) break; | |
510 | paramsFile >> paramV; | |
511 | SetParam(paramN,paramV); | |
512 | if (paramsFile.eof()) break; | |
513 | } | |
514 | paramsFile.close(); | |
515 | } | |
516 | } | |
517 | //--------------------------------------------------------- | |
518 | void AliITSOnlineSPDfoAnalyzer::SetParam(const Char_t *pname, const Char_t *pval) | |
519 | { | |
520 | // | |
521 | // sets a single parameter when reading from a file in the database | |
522 | // | |
523 | ||
524 | TString name = pname; | |
525 | TString val = pval; | |
526 | ||
527 | ||
528 | if (name.CompareTo("fGeneralThresholds0")==0) { | |
529 | fGeneralThresholds[0] = val.Atof(); | |
530 | } | |
531 | else if (name.CompareTo("fGeneralThresholds1")==0) { | |
532 | fGeneralThresholds[1] = val.Atof(); | |
533 | } | |
534 | else if (name.CompareTo("fGeneralThresholds2")==0) { | |
535 | fGeneralThresholds[2] = val.Atof(); | |
536 | } | |
537 | else { | |
538 | Error("AliITSOnlineSPDscanAnalyzer::SetParam","Parameter %s in configuration file unknown.",name.Data()); | |
539 | } | |
540 | } | |
541 | //-------------------------------------------------------- | |
542 | Bool_t AliITSOnlineSPDfoAnalyzer::CorrectPreVTHChioce(const TH1D *h,Int_t &bin) const | |
543 | { | |
544 | // | |
545 | // Checks if more maxima of the same height are present in the pre_VTH case | |
546 | // | |
547 | ||
548 | Int_t counts =0; | |
549 | Int_t bins[10]={0,0,0,0,0,0,0,0,0,0}; | |
550 | Int_t binindex=0; | |
551 | Bool_t check=kFALSE; | |
552 | ||
553 | for(Int_t i=0; i<= h->GetNbinsX(); i++){ | |
554 | if(h->GetBinContent(i) == h->GetMaximum() || h->GetBinContent(i) == h->GetMaximum()-1) { | |
555 | counts++; | |
556 | bins[binindex]=i; | |
557 | binindex++; | |
558 | } | |
559 | } | |
560 | ||
561 | if(counts>1) { | |
562 | bin=bins[binindex-1]; | |
563 | check = kTRUE; | |
564 | } | |
565 | return check; | |
566 | } | |
567 |