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1fd93b67 | 1 | /************************************************************************** |
2 | * Copyright(c) 2007-2009, 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 | ||
f0aa5f6c | 18 | //////////////////////////////////////////////////////////// |
19 | // Author: Henrik Tydesjo // | |
20 | // This class is used in the detector algorithm framework // | |
21 | // to process the data stored in special container files // | |
22 | // (see AliITSOnlineSPDscan). For instance, minimum // | |
23 | // threshold values can be calculated. // | |
24 | //////////////////////////////////////////////////////////// | |
25 | ||
26 | #include "AliITSOnlineSPDscanAnalyzer.h" | |
27 | #include "AliITSOnlineSPDscan.h" | |
28 | #include "AliITSOnlineSPDscanSingle.h" | |
29 | #include "AliITSOnlineSPDscanMultiple.h" | |
30 | #include "AliITSOnlineSPDscanMeanTh.h" | |
31 | #include "AliITSOnlineCalibrationSPDhandler.h" | |
32 | #include "AliITSRawStreamSPD.h" | |
33 | #include <TStyle.h> | |
34 | #include <TMath.h> | |
35 | #include <TF1.h> | |
36 | #include <TGraph.h> | |
37 | #include <TH2F.h> | |
38 | ||
39 | Double_t itsSpdErrorf(Double_t *x, Double_t *par){ | |
40 | if (par[2]<0) par[2]=0; | |
41 | Double_t val = par[2]+(0.12*256*32-par[2])*(0.5+0.5*TMath::Erf((x[0]-par[0])/par[1]/sqrt(2.))); | |
42 | return val; | |
43 | } | |
44 | //Double_t itsSpdErrorfOrig(Double_t *x, Double_t *par){ | |
45 | // return 0.5+0.5*TMath::Erf((x[0]-par[0])/par[1]/sqrt(2.)); | |
46 | //} | |
47 | ||
48 | ||
49 | AliITSOnlineSPDscanAnalyzer::AliITSOnlineSPDscanAnalyzer(Char_t *fileName) : | |
50 | fType(99),fDacId(99),fScanObj(NULL),fTriggers(NULL), | |
51 | fOverWrite(kFALSE),fNoiseThreshold(0.01),fNoiseMinimumEvents(100), | |
52 | fMinNrStepsBeforeIncrease(5),fMinIncreaseFromBaseLine(2),fStepDownDacSafe(2),fMaxBaseLineLevel(10) | |
53 | { | |
54 | // constructor | |
55 | sprintf(fFileName,"%s",fileName); | |
56 | for (UInt_t chipNr=0; chipNr<11; chipNr++) { | |
57 | for (UInt_t hs=0; hs<6; hs++) { | |
58 | fMeanMultiplicity[hs][chipNr]=NULL; | |
59 | fHitEventEfficiency[hs][chipNr]=NULL; | |
60 | } | |
61 | } | |
62 | for (Int_t module=0; module<240; module++) { | |
63 | fHandler[module]=NULL; | |
64 | } | |
65 | ||
66 | Init(); | |
67 | } | |
68 | ||
69 | AliITSOnlineSPDscanAnalyzer::AliITSOnlineSPDscanAnalyzer(const AliITSOnlineSPDscanAnalyzer& handle) : | |
70 | fType(99),fDacId(99),fScanObj(NULL),fTriggers(NULL), | |
71 | fOverWrite(kFALSE),fNoiseThreshold(0.01),fNoiseMinimumEvents(100), | |
72 | fMinNrStepsBeforeIncrease(5),fMinIncreaseFromBaseLine(2),fStepDownDacSafe(2),fMaxBaseLineLevel(10) | |
73 | { | |
74 | // copy constructor, only copies the filename (not the processed data) | |
75 | sprintf(fFileName,"%s",handle.fFileName); | |
76 | ||
77 | fScanObj=NULL; | |
78 | fType=99; | |
79 | fDacId=99; | |
80 | for (UInt_t chipNr=0; chipNr<11; chipNr++) { | |
81 | for (UInt_t hs=0; hs<6; hs++) { | |
82 | fMeanMultiplicity[hs][chipNr]=NULL; | |
83 | fHitEventEfficiency[hs][chipNr]=NULL; | |
84 | } | |
85 | } | |
86 | fTriggers=NULL; | |
87 | for (Int_t module=0; module<240; module++) { | |
88 | fHandler[module]=NULL; | |
89 | } | |
90 | ||
91 | Init(); | |
92 | } | |
93 | ||
94 | AliITSOnlineSPDscanAnalyzer::~AliITSOnlineSPDscanAnalyzer() { | |
95 | // destructor | |
96 | for (UInt_t hs=0; hs<6; hs++) { | |
97 | for (UInt_t chipNr=0; chipNr<11; chipNr++) { | |
98 | if (fMeanMultiplicity[hs][chipNr]!=NULL) { | |
99 | delete fMeanMultiplicity[hs][chipNr]; | |
100 | } | |
101 | if (fHitEventEfficiency[hs][chipNr]!=NULL) { | |
102 | delete fHitEventEfficiency[hs][chipNr]; | |
103 | } | |
104 | } | |
105 | } | |
106 | if (fTriggers!=NULL) delete fTriggers; | |
107 | if (fScanObj!=NULL) delete fScanObj; | |
108 | for (Int_t module=0; module<240; module++) { | |
109 | if (fHandler[module]!=NULL) { | |
110 | delete fHandler[module]; | |
111 | } | |
112 | } | |
113 | } | |
114 | ||
115 | AliITSOnlineSPDscanAnalyzer& AliITSOnlineSPDscanAnalyzer::operator=(const AliITSOnlineSPDscanAnalyzer& handle) { | |
116 | // assignment operator, only copies the filename (not the processed data) | |
117 | if (this!=&handle) { | |
118 | for (UInt_t hs=0; hs<6; hs++) { | |
119 | for (UInt_t chipNr=0; chipNr<11; chipNr++) { | |
120 | if (fMeanMultiplicity[hs][chipNr]!=NULL) { | |
121 | delete fMeanMultiplicity[hs][chipNr]; | |
122 | } | |
123 | if (fHitEventEfficiency[hs][chipNr]!=NULL) { | |
124 | delete fHitEventEfficiency[hs][chipNr]; | |
125 | } | |
126 | } | |
127 | } | |
128 | if (fTriggers!=NULL) delete fTriggers; | |
129 | if (fScanObj!=NULL) delete fScanObj; | |
130 | for (Int_t module=0; module<240; module++) { | |
131 | if (fHandler[module]!=NULL) { | |
132 | delete fHandler[module]; | |
133 | } | |
134 | } | |
135 | ||
136 | sprintf(fFileName,"%s",handle.fFileName); | |
137 | ||
138 | fScanObj=NULL; | |
139 | fType=99; | |
140 | fDacId=99; | |
141 | for (UInt_t chipNr=0; chipNr<11; chipNr++) { | |
142 | for (UInt_t hs=0; hs<6; hs++) { | |
143 | fMeanMultiplicity[hs][chipNr]=NULL; | |
144 | fHitEventEfficiency[hs][chipNr]=NULL; | |
145 | } | |
146 | } | |
147 | fTriggers=NULL; | |
148 | for (Int_t module=0; module<240; module++) { | |
149 | fHandler[module]=NULL; | |
150 | } | |
151 | ||
152 | Init(); | |
153 | } | |
154 | return *this; | |
155 | } | |
156 | ||
157 | void AliITSOnlineSPDscanAnalyzer::Init() { | |
158 | // first checks type of container and then initializes container obj | |
159 | FILE* fp0 = fopen(fFileName, "r"); | |
160 | if (fp0 == NULL) { | |
161 | return; | |
162 | } | |
163 | else { | |
164 | fclose(fp0); | |
165 | } | |
166 | fScanObj = new AliITSOnlineSPDscan(fFileName); | |
167 | fType = fScanObj->GetType(); | |
168 | delete fScanObj; | |
169 | ||
170 | // init container | |
171 | switch(fType) { | |
172 | case kUNIMA: | |
173 | case kNOISE: | |
174 | fScanObj = new AliITSOnlineSPDscanSingle(fFileName); | |
175 | break; | |
176 | case kMINTH: | |
177 | case kDAC: | |
178 | case kDELAY: | |
179 | fScanObj = new AliITSOnlineSPDscanMultiple(fFileName); | |
180 | fDacId = ((AliITSOnlineSPDscanMultiple*)fScanObj)->GetDacId(); | |
181 | break; | |
182 | case kMEANTH: | |
183 | fScanObj = new AliITSOnlineSPDscanMeanTh(fFileName); | |
184 | fDacId = ((AliITSOnlineSPDscanMeanTh*)fScanObj)->GetDacId(); | |
185 | break; | |
186 | default: | |
187 | printf("Type %d not defined!\n",fType); | |
188 | fScanObj=NULL; | |
189 | return; | |
190 | break; | |
191 | } | |
192 | ||
193 | // set some default values (these should later be read from text file) | |
194 | fOverWrite=kFALSE; | |
195 | fNoiseThreshold=0.01; | |
196 | fNoiseMinimumEvents=100; | |
197 | fMinNrStepsBeforeIncrease=6; | |
198 | fMinIncreaseFromBaseLine=2; | |
199 | fStepDownDacSafe=2; | |
200 | fMaxBaseLineLevel=10; | |
201 | ||
202 | } | |
203 | ||
204 | ||
205 | Bool_t AliITSOnlineSPDscanAnalyzer::ProcessDeadPixels(Char_t *oldcalibDir) { | |
206 | // process dead pixel data | |
207 | if (fScanObj==NULL) { | |
208 | printf("No data!\n"); | |
209 | return kFALSE; | |
210 | } | |
211 | // should be type kUNIMA | |
212 | if (fType!=kUNIMA) { | |
213 | printf("Dead pixels only for scan type %d\n",kUNIMA); | |
214 | return kFALSE; | |
215 | } | |
216 | ||
217 | Int_t nrDead[240]; | |
218 | for (Int_t i=0; i<240; i++) { | |
219 | nrDead[i]=0; | |
220 | } | |
221 | UInt_t routerNr = fScanObj->GetRouterNr(); | |
222 | UInt_t rowStart = fScanObj->GetRowStart(); | |
223 | UInt_t rowEnd = fScanObj->GetRowEnd(); | |
224 | for (UInt_t hs=0; hs<6; hs++) { | |
225 | for (UInt_t chipNr=0; chipNr<10; chipNr++) { | |
226 | if (fScanObj->GetChipPresent(hs,chipNr) && fScanObj->GetAverageMultiplicity(0,hs,chipNr)>0) { // check the status of the chippresent parameter in the mood header!!!!!!!!!!!!!!!!!!!!!!!!!!!! | |
227 | UInt_t module = AliITSRawStreamSPD::GetModuleNumber(routerNr,hs*2+chipNr/5); | |
228 | if (!fHandler[module]) { | |
229 | fHandler[module] = new AliITSOnlineCalibrationSPDhandler(module); | |
230 | } | |
231 | fHandler[module]->SetFileLocation(oldcalibDir); | |
232 | fHandler[module]->ReadFromFile(); | |
233 | if (fOverWrite) {fHandler[module]->ResetDead();} | |
234 | for (UInt_t col=0; col<32; col++) { | |
235 | for (UInt_t row=rowStart; row<=rowEnd; row++) { | |
236 | if (col!=1 && col!=9 && col!=17 && col!=25) { //exclude test columns!!! | |
237 | if (fScanObj->GetHits(0,hs,chipNr,col,row)==0) { | |
238 | Int_t newCol = 32*(chipNr%5) + col; | |
239 | if (fHandler[module]->SetDeadPixel(newCol,row)) { | |
240 | nrDead[module]++; | |
241 | } | |
242 | } | |
243 | } | |
244 | } | |
245 | } | |
246 | } | |
247 | } | |
248 | } | |
249 | return kTRUE; | |
250 | } | |
251 | ||
252 | ||
253 | ||
254 | Bool_t AliITSOnlineSPDscanAnalyzer::ProcessNoisyPixels(Char_t *oldcalibDir) { | |
255 | // process noisy pixel data | |
256 | if (fScanObj==NULL) { | |
257 | printf("No data!\n"); | |
258 | return kFALSE; | |
259 | } | |
260 | // should be type kNOISE | |
261 | if (fType != kNOISE) { | |
262 | printf("Noisy pixels only for scan type %d\n",kNOISE); | |
263 | return kFALSE; | |
264 | } | |
265 | ||
266 | Int_t nrNoisy[240]; | |
267 | for (Int_t i=0; i<240; i++) { | |
268 | nrNoisy[i]=0; | |
269 | } | |
270 | if (fScanObj->GetTriggers(0)<fNoiseMinimumEvents) { | |
271 | printf("Error: Process noisy: Too few events.\n"); | |
272 | return kFALSE; | |
273 | } | |
274 | UInt_t routerNr = fScanObj->GetRouterNr(); | |
275 | for (UInt_t hs=0; hs<6; hs++) { | |
276 | for (UInt_t chipNr=0; chipNr<10; chipNr++) { | |
277 | if (fScanObj->GetChipPresent(hs,chipNr)) { // check the status of the chippresent parameter in the mood header!!!!!!!!!!!!!!!!!!!!!!!!!!!! | |
278 | UInt_t module = AliITSRawStreamSPD::GetModuleNumber(routerNr,hs*2+chipNr/5); | |
279 | for (UInt_t col=0; col<32; col++) { | |
280 | for (UInt_t row=0; row<256; row++) { | |
281 | if (fScanObj->GetHitsEfficiency(0,hs,chipNr,col,row)>fNoiseThreshold) { | |
282 | if (!fHandler[module]) { | |
283 | fHandler[module] = new AliITSOnlineCalibrationSPDhandler(module); | |
284 | } | |
285 | fHandler[module]->SetFileLocation(oldcalibDir); | |
286 | fHandler[module]->ReadFromFile(); | |
287 | if (fOverWrite) {fHandler[module]->ResetNoisy();} | |
288 | Int_t newCol = 32*(chipNr%5) + col; | |
289 | if (fHandler[module]->SetNoisyPixel(newCol,row)) { | |
290 | nrNoisy[module]++; | |
291 | } | |
292 | } | |
293 | } | |
294 | } | |
295 | } | |
296 | } | |
297 | } | |
298 | return kTRUE; | |
299 | } | |
300 | ||
301 | Bool_t AliITSOnlineSPDscanAnalyzer::SaveDeadNoisyPixels(UInt_t module, Char_t *calibDir) { | |
302 | // save dead and noisy pixels to file in dir calibDir | |
303 | if (fHandler[module]!=NULL) { | |
304 | fHandler[module]->SetFileLocation(calibDir); | |
305 | fHandler[module]->WriteToFile(); | |
306 | return kTRUE; | |
307 | } | |
308 | return kFALSE; | |
309 | } | |
310 | ||
1fd93b67 | 311 | |
312 | ||
313 | ||
f0aa5f6c | 314 | Int_t AliITSOnlineSPDscanAnalyzer::GetDelay(UInt_t hs, UInt_t chipNr) { |
315 | // get delay | |
316 | if (hs>=6 || chipNr>10) return -1; | |
317 | if (fScanObj==NULL) { | |
318 | printf("No data!\n"); | |
319 | return -1; | |
320 | } | |
321 | // should be type kDELAY or kDAC with id 42 (delay_ctrl) | |
322 | if (fType!=kDELAY && (fType!=kDAC || fDacId!=42)) { | |
323 | printf("Delay only for scan type %d or %d and dac_id 42\n",kDELAY,kDAC); | |
324 | return -1; | |
325 | } | |
326 | if (fMeanMultiplicity[hs][chipNr]==NULL) { | |
327 | if (!ProcessMeanMultiplicity()) { | |
328 | return -1; | |
329 | } | |
330 | } | |
331 | ||
1fd93b67 | 332 | UInt_t maxStep=0; |
333 | Float_t maxVal=0; | |
334 | for (UInt_t step=0; step<fScanObj->GetNSteps(); step++) { | |
335 | Double_t thisDac; | |
336 | Double_t thisMult; | |
337 | fMeanMultiplicity[hs][chipNr]->GetPoint(step,thisDac,thisMult); | |
338 | if (thisMult > maxVal) { | |
339 | maxVal = thisMult; | |
340 | maxStep = step; | |
341 | } | |
342 | } | |
343 | ||
344 | if (maxVal>0) { | |
345 | return ((AliITSOnlineSPDscanMultiple*)fScanObj)->GetDacValue(maxStep); | |
f0aa5f6c | 346 | } |
347 | else { | |
348 | return -1; | |
349 | } | |
1fd93b67 | 350 | |
f0aa5f6c | 351 | } |
352 | ||
1fd93b67 | 353 | |
354 | // ********** old version of "GetDelay", which fits a gaussian to the meanmult graph | |
355 | //Int_t AliITSOnlineSPDscanAnalyzer::GetDelay(UInt_t hs, UInt_t chipNr) { | |
356 | // // get delay | |
357 | // if (hs>=6 || chipNr>10) return -1; | |
358 | // if (fScanObj==NULL) { | |
359 | // printf("No data!\n"); | |
360 | // return -1; | |
361 | // } | |
362 | // // should be type kDELAY or kDAC with id 42 (delay_ctrl) | |
363 | // if (fType!=kDELAY && (fType!=kDAC || fDacId!=42)) { | |
364 | // printf("Delay only for scan type %d or %d and dac_id 42\n",kDELAY,kDAC); | |
365 | // return -1; | |
366 | // } | |
367 | // if (fMeanMultiplicity[hs][chipNr]==NULL) { | |
368 | // if (!ProcessMeanMultiplicity()) { | |
369 | // return -1; | |
370 | // } | |
371 | // } | |
372 | // | |
373 | // Char_t funcName[30]; | |
374 | // sprintf(funcName,"Fit delay func HS%d CHIP%d",hs,chipNr); | |
375 | // Int_t minDac = ((AliITSOnlineSPDscanMultiple*)fScanObj)->GetDacValue(0); | |
376 | // Int_t maxDac = ((AliITSOnlineSPDscanMultiple*)fScanObj)->GetDacValue(fScanObj->GetNSteps()-1); | |
377 | // TF1* delayFunc = new TF1(funcName,"gaus",minDac,maxDac); | |
378 | // fMeanMultiplicity[hs][chipNr]->Fit(funcName,"Q0"); | |
379 | // Double_t mean = delayFunc->GetParameter(1); | |
380 | // // Double_t sigma = fDelayFunc[hs][chipNr]->GetParameter(2); | |
381 | // delete delayFunc; | |
382 | // if (mean>minDac && mean<maxDac) { | |
383 | // return (Int_t) (mean+0.5); | |
384 | // } | |
385 | // else { | |
386 | // return -1; | |
387 | // } | |
388 | //} | |
389 | ||
f0aa5f6c | 390 | Int_t AliITSOnlineSPDscanAnalyzer::GetNrNoisyUnima(UInt_t hs, UInt_t chipNr) { |
391 | // in case of a uniformity scan, returns the nr of noisy pixels, (here > 200 hits) | |
392 | if (hs>=6 || chipNr>10) return -1; | |
393 | if (fScanObj==NULL) { | |
394 | printf("No data!\n"); | |
395 | return kFALSE; | |
396 | } | |
397 | // should be type kUNIMA | |
398 | if (fType != kUNIMA) { | |
399 | printf("Noisy pixels Unima only for scan type %d\n",kUNIMA); | |
400 | return kFALSE; | |
401 | } | |
402 | if (fScanObj->GetTriggers(0)!=25600) { | |
403 | printf("Error: Process noisy unima: Incorrect number of events (!=25600.\n"); | |
404 | return kFALSE; | |
405 | } | |
406 | ||
407 | Int_t nrNoisy=0; | |
408 | if (fScanObj->GetChipPresent(hs,chipNr)) { // check the status of the chippresent parameter in the mood header!!!!!!!!!!!!!!!!!!!!!!!!!!!! | |
409 | for (UInt_t col=0; col<32; col++) { | |
410 | for (UInt_t row=0; row<256; row++) { | |
411 | if (fScanObj->GetHits(0,hs,chipNr,col,row)>200) { | |
412 | nrNoisy++; | |
413 | } | |
414 | } | |
415 | } | |
416 | } | |
417 | else { | |
418 | return -1; | |
419 | } | |
420 | return nrNoisy; | |
421 | } | |
422 | ||
423 | Int_t AliITSOnlineSPDscanAnalyzer::FindLastMinThDac(UInt_t hs, UInt_t chipNr) { | |
424 | // returns dac value where fMinIncreaseFromBaseLine reached | |
425 | if (hs>=6 || chipNr>10) return -1; | |
426 | if (fMeanMultiplicity[hs][chipNr]==NULL) { | |
427 | if (!ProcessMeanMultiplicity()) { | |
428 | return -1; | |
429 | } | |
430 | } | |
431 | Double_t firstVal, dummy1; | |
432 | fMeanMultiplicity[hs][chipNr]->GetPoint(0,dummy1,firstVal); | |
433 | UInt_t step=0; | |
434 | while (step<fScanObj->GetNSteps()-1) { | |
435 | Double_t graphVal, dummy2; | |
436 | fMeanMultiplicity[hs][chipNr]->GetPoint(step+1,dummy2,graphVal); | |
437 | if (graphVal>firstVal+fMinIncreaseFromBaseLine) break; | |
438 | step++; | |
439 | } | |
440 | if (step==fScanObj->GetNSteps()-1) return -1; | |
441 | return ((AliITSOnlineSPDscanMultiple*)fScanObj)->GetDacValue(step); | |
442 | } | |
443 | ||
444 | Int_t AliITSOnlineSPDscanAnalyzer::FindClosestLowerStep(Float_t dacValueInput) { | |
445 | // returns step closest (lower) to a dacvalue | |
446 | UInt_t step=0; | |
447 | while (step<fScanObj->GetNSteps()-1) { | |
448 | Int_t dacVal = ((AliITSOnlineSPDscanMultiple*)fScanObj)->GetDacValue(step+1); | |
449 | if (dacVal>=dacValueInput) break; | |
450 | step++; | |
451 | } | |
452 | return step; | |
453 | } | |
454 | ||
455 | Float_t AliITSOnlineSPDscanAnalyzer::GetCompareLine(UInt_t step, UInt_t hs, UInt_t chipNr, Float_t basePar2) { | |
456 | // returns value to compare mean mult with (when finding min th) | |
457 | if (hs>=6 || chipNr>10) return -1; | |
458 | if (step<fMinNrStepsBeforeIncrease) return -1; | |
459 | Float_t baseLine = basePar2; | |
460 | if (baseLine<0) baseLine=0; | |
461 | Float_t baseAdd; | |
462 | Double_t baseM=0; | |
463 | Double_t baseS=0; | |
464 | Double_t d,m; | |
465 | for (UInt_t st=1;st<2*step/3;st++) { // skip first point... | |
466 | fMeanMultiplicity[hs][chipNr]->GetPoint(st,d,m); | |
467 | baseM+=m-baseLine; | |
468 | baseS+=(m-baseLine)*(m-baseLine); | |
469 | } | |
470 | baseAdd=2*sqrt( baseS/(2*step/3-1) - (baseM/(2*step/3-1))*(baseM/(2*step/3-1)) ); | |
471 | baseAdd+=0.03; // magic number | |
472 | if (baseAdd>fMinIncreaseFromBaseLine) baseAdd=fMinIncreaseFromBaseLine; | |
473 | return baseLine + baseAdd; | |
474 | } | |
475 | ||
476 | Int_t AliITSOnlineSPDscanAnalyzer::GetMinTh(UInt_t hs, UInt_t chipNr) { | |
477 | // calculates and returns the minimum threshold | |
478 | if (hs>=6 || chipNr>10) return -1; | |
479 | if (fScanObj==NULL) { | |
480 | printf("No data!\n"); | |
481 | return -1; | |
482 | } | |
483 | // should be type kMINTH or kDAC with id 39 (pre_vth) | |
484 | if (fType!=kMINTH && (fType!=kDAC || fDacId!=39)) { | |
485 | printf("MinTh only for scan type %d OR %d with dac_id 39\n",kMINTH,kDAC); | |
486 | return -1; | |
487 | } | |
488 | if (fMeanMultiplicity[hs][chipNr]==NULL) { | |
489 | if (!ProcessMeanMultiplicity()) { | |
490 | return -1; | |
491 | } | |
492 | } | |
493 | ||
494 | Int_t lastDac = FindLastMinThDac(hs,chipNr); | |
495 | if (lastDac==-1) { | |
496 | printf("GetMinTh: HS%d, Chip%d: Increase of Mean Multiplicity by %1.2f never reached.\n",hs,chipNr,fMinIncreaseFromBaseLine); | |
497 | return -1; | |
498 | } | |
499 | ||
500 | Int_t minDac = ((AliITSOnlineSPDscanMultiple*)fScanObj)->GetDacValue(0); | |
501 | Char_t funcName[30]; | |
502 | sprintf(funcName,"Fit minth func HS%d CHIP%d",hs,chipNr); | |
503 | TF1 *minThFunc = new TF1(funcName,itsSpdErrorf,100,500,3); | |
504 | minThFunc->SetParameter(0,lastDac+10); | |
505 | minThFunc->SetParameter(1,2); | |
506 | minThFunc->SetParameter(2,0); | |
507 | minThFunc->SetParName(0,"Mean"); | |
508 | minThFunc->SetParName(1,"Sigma"); | |
509 | minThFunc->SetParName(2,"BaseLine"); | |
510 | minThFunc->SetLineWidth(1); | |
511 | if (fMeanMultiplicity[hs][chipNr]==NULL) { | |
512 | if (!ProcessMeanMultiplicity()) { | |
513 | return -1; | |
514 | } | |
515 | } | |
516 | fMeanMultiplicity[hs][chipNr]->Fit(funcName,"Q0","",minDac,lastDac); | |
517 | ||
518 | // Double_t mean = fMinThFunc[hs][chipNr]->GetParameter(0); | |
519 | // Double_t sigma = fMinThFunc[hs][chipNr]->GetParameter(1); | |
520 | Double_t baseLine = minThFunc->GetParameter(2); | |
521 | delete minThFunc; | |
522 | ||
523 | if (baseLine>fMaxBaseLineLevel) { | |
524 | printf("GetMinTh: HS%d, Chip%d: BaseLine too large (%1.2f>%1.2f)\n",hs,chipNr,baseLine,fMaxBaseLineLevel); | |
525 | return -1; | |
526 | } | |
527 | UInt_t step=FindClosestLowerStep(lastDac); | |
528 | Float_t compareLine = GetCompareLine(step,hs,chipNr,baseLine); | |
529 | if (compareLine==-1) { | |
530 | printf("GetMinTh: HS%d, Chip%d: Not enough steps (%d<%d) before increase to get a compare line.\n",hs,chipNr,step,fMinNrStepsBeforeIncrease); | |
531 | return -1; | |
532 | } | |
533 | ||
534 | Double_t mult, dummy; | |
535 | mult=1000; | |
536 | while (mult > compareLine && step>0) { | |
537 | fMeanMultiplicity[hs][chipNr]->GetPoint(step,dummy,mult); | |
538 | step--; | |
539 | } | |
540 | Int_t minth = ((AliITSOnlineSPDscanMultiple*)fScanObj)->GetDacValue(step+1)-fStepDownDacSafe; | |
541 | ||
542 | if (step>0) { | |
543 | return minth; | |
544 | } | |
545 | else { | |
546 | printf("GetMinTh: HS%d, Chip%d: Did not find a point below the compare line (%f).\n",hs,chipNr,compareLine); | |
547 | return -1; | |
548 | } | |
549 | } | |
550 | ||
551 | ||
552 | ||
553 | Bool_t AliITSOnlineSPDscanAnalyzer::ProcessMeanMultiplicity() { | |
554 | // process mean multiplicity data | |
555 | if (fScanObj==NULL) { | |
556 | printf("No data!\n"); | |
557 | return kFALSE; | |
558 | } | |
559 | for (UInt_t step=0; step<fScanObj->GetNSteps(); step++) { | |
560 | for (UInt_t hs=0; hs<6; hs++) { | |
561 | for (UInt_t chipNr=0; chipNr<11; chipNr++) { | |
562 | // if (fScanObj->GetChipPresent(hs,chipNr)) { // check the status of the chippresent parameter in the mood header!!!!!!!!!!!!!!!!!!!!!!!!!!!! | |
563 | if (step==0) { | |
564 | if (fMeanMultiplicity[hs][chipNr]!=NULL) { | |
565 | delete fMeanMultiplicity[hs][chipNr]; | |
566 | } | |
567 | fMeanMultiplicity[hs][chipNr] = new TGraph(); | |
568 | } | |
569 | Float_t multiplMean=fScanObj->GetAverageMultiplicity(step,hs,chipNr); | |
570 | if (fType==kMINTH || fType==kMEANTH || fType==kDAC || fType==kDELAY) { | |
571 | fMeanMultiplicity[hs][chipNr]->SetPoint(step,((AliITSOnlineSPDscanMultiple*)fScanObj)->GetDacValue(step),multiplMean); | |
572 | } | |
573 | else { | |
574 | fMeanMultiplicity[hs][chipNr]->SetPoint(step,0,multiplMean); | |
575 | } | |
576 | } | |
577 | // } | |
578 | } | |
579 | } | |
580 | return kTRUE; | |
581 | } | |
582 | ||
583 | TGraph* AliITSOnlineSPDscanAnalyzer::GetMeanMultiplicityG(UInt_t hs, UInt_t chipNr) { | |
584 | // returns mean multiplicity graph | |
585 | if (hs>=6 || chipNr>10) return NULL; | |
586 | if (fMeanMultiplicity[hs][chipNr]==NULL) { | |
587 | if (!ProcessMeanMultiplicity()) { | |
588 | return NULL; | |
589 | } | |
590 | } | |
591 | return fMeanMultiplicity[hs][chipNr]; | |
592 | } | |
593 | ||
594 | Bool_t AliITSOnlineSPDscanAnalyzer::ProcessHitEventEfficiency() { | |
595 | // process hit event efficiency | |
596 | if (fScanObj==NULL) { | |
597 | printf("No data!\n"); | |
598 | return kFALSE; | |
599 | } | |
600 | for (UInt_t step=0; step<fScanObj->GetNSteps(); step++) { | |
601 | for (UInt_t hs=0; hs<6; hs++) { | |
602 | for (UInt_t chipNr=0; chipNr<11; chipNr++) { | |
603 | // if (fScanObj->GetChipPresent(hs,chipNr)) { // check the status of the chippresent parameter in the mood header!!!!!!!!!!!!!!!!!!!!!!!!!!!! | |
604 | if (step==0) { | |
605 | if (fHitEventEfficiency[hs][chipNr]!=NULL) { | |
606 | delete fHitEventEfficiency[hs][chipNr]; | |
607 | } | |
608 | fHitEventEfficiency[hs][chipNr] = new TGraph(); | |
609 | } | |
610 | Float_t efficiency=fScanObj->GetHitEventsEfficiency(step,hs,chipNr); | |
611 | if (fType==kMINTH || fType==kMEANTH || fType==kDAC || fType==kDELAY) { | |
612 | fHitEventEfficiency[hs][chipNr]->SetPoint(step,((AliITSOnlineSPDscanMultiple*)fScanObj)->GetDacValue(step),efficiency); | |
613 | } | |
614 | else { | |
615 | fHitEventEfficiency[hs][chipNr]->SetPoint(step,0,efficiency); | |
616 | } | |
617 | } | |
618 | // } | |
619 | } | |
620 | } | |
621 | return kTRUE; | |
622 | } | |
623 | ||
624 | TGraph* AliITSOnlineSPDscanAnalyzer::GetHitEventEfficiencyG(UInt_t hs, UInt_t chipNr) { | |
625 | // returns hit event efficiency graph | |
626 | if (hs>=6 || chipNr>10) return NULL; | |
627 | if (fHitEventEfficiency[hs][chipNr]==NULL) { | |
628 | if (!ProcessHitEventEfficiency()) { | |
629 | return NULL; | |
630 | } | |
631 | } | |
632 | return fHitEventEfficiency[hs][chipNr]; | |
633 | } | |
634 | ||
635 | ||
636 | Bool_t AliITSOnlineSPDscanAnalyzer::ProcessNrTriggers() { | |
637 | // process nr of triggers data | |
638 | if (fScanObj==NULL) { | |
639 | printf("No data!\n"); | |
640 | return kFALSE; | |
641 | } | |
642 | for (UInt_t step=0; step<fScanObj->GetNSteps(); step++) { | |
643 | if (step==0) { | |
644 | if (fTriggers!=NULL) { | |
645 | delete fTriggers; | |
646 | } | |
647 | fTriggers = new TGraph(); | |
648 | } | |
649 | if (fType==kMINTH || fType==kMEANTH || fType==kDAC || fType==kDELAY) { | |
650 | fTriggers->SetPoint(step,((AliITSOnlineSPDscanMultiple*)fScanObj)->GetDacValue(step),fScanObj->GetTriggers(step)); | |
651 | } | |
652 | else { | |
653 | fTriggers->SetPoint(step,0,fScanObj->GetTriggers(step)); | |
654 | } | |
655 | } | |
656 | return kTRUE; | |
657 | } | |
658 | ||
659 | TGraph* AliITSOnlineSPDscanAnalyzer::GetNrTriggersG() { | |
660 | // returns nr of triggers graph | |
661 | if (fTriggers==NULL) { | |
662 | if (!ProcessNrTriggers()) { | |
663 | return NULL; | |
664 | } | |
665 | } | |
666 | return fTriggers; | |
667 | } | |
668 | ||
669 | Bool_t AliITSOnlineSPDscanAnalyzer::GetHalfStavePresent(UInt_t hs) { | |
670 | // returns half stave present info | |
671 | if (hs<6 && fScanObj!=NULL) { | |
672 | Int_t chipstatus=0; | |
673 | for (Int_t chip=0; chip<10; chip++) { | |
674 | chipstatus+=fScanObj->GetChipPresent(hs,chip); | |
675 | } | |
676 | if (chipstatus>0) return kTRUE; | |
677 | } | |
678 | return kFALSE; | |
679 | } | |
680 | ||
681 | AliITSOnlineCalibrationSPDhandler* AliITSOnlineSPDscanAnalyzer::GetOnlineCalibrationHandler(UInt_t module) { | |
682 | // returns a pointer to the AliITSOnlineCalibrationSPDhandler | |
683 | if (module<240) return fHandler[module]; | |
684 | else return NULL; | |
685 | } | |
686 | ||
687 | UInt_t AliITSOnlineSPDscanAnalyzer::GetRouterNr() { | |
688 | // returns the router nr of scan obj | |
689 | if (fScanObj!=NULL) return fScanObj->GetRouterNr(); | |
690 | else return 99; | |
691 | } | |
692 | ||
693 | TH2F* AliITSOnlineSPDscanAnalyzer::GetHitMapTot(UInt_t step) { | |
694 | // creates and returns a pointer to a hitmap histo (half sector style a la spdmood) | |
695 | if (fScanObj==NULL) { | |
696 | printf("No data!\n"); | |
697 | return NULL; | |
698 | } | |
699 | Char_t histoname[50]; | |
700 | if (fType==kMINTH || fType==kMEANTH || fType==kDAC) { | |
701 | sprintf(histoname,"Router %d , DAC %d",GetRouterNr(),((AliITSOnlineSPDscanMultiple*)fScanObj)->GetDacValue(step)); | |
702 | } | |
703 | else { | |
704 | sprintf(histoname,"Router %d ",GetRouterNr()); | |
705 | } | |
706 | TH2F* fHitMapTot = new TH2F(histoname,histoname,32*10,-0.5,32*10-0.5,256*6,-0.5,256*6-0.5); | |
707 | fHitMapTot->SetNdivisions(-10,"X"); | |
708 | fHitMapTot->SetNdivisions(-006,"Y"); | |
709 | fHitMapTot->SetTickLength(0,"X"); | |
710 | fHitMapTot->SetTickLength(0,"Y"); | |
711 | fHitMapTot->GetXaxis()->SetLabelColor(gStyle->GetCanvasColor()); | |
712 | fHitMapTot->GetYaxis()->SetLabelColor(gStyle->GetCanvasColor()); | |
713 | for (UInt_t hs=0; hs<6; hs++) { | |
714 | for (UInt_t chipNr=0; chipNr<10; chipNr++) { | |
715 | for (UInt_t col=0; col<32; col++) { | |
716 | for (UInt_t row=0; row<256; row++) { | |
717 | fHitMapTot->Fill(chipNr*32+col,(5-hs)*256+row,fScanObj->GetHits(step,hs,chipNr,col,row)); | |
718 | } | |
719 | } | |
720 | } | |
721 | } | |
722 | return fHitMapTot; | |
723 | } |