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39bcd65d | 1 | /************************************************************************** |
2 | * Copyright(c) 1998-1999, 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 | ||
17 | /////////////////////////////////////////////////////////////////////////////// | |
18 | // // | |
19 | // Class for viewing/visualizing TPC calibration data // | |
20 | // base on TTree functionality for visualization // | |
72d0ab7e | 21 | // // |
22 | // Create a list of AliTPCCalPads, arrange them in an TObjArray. // | |
23 | // Pass this TObjArray to MakeTree and create the calibration Tree // | |
24 | // While craating this tree some statistical information are calculated // | |
25 | // Open the viewer with this Tree: AliTPCCalibViewer v("CalibTree.root") // | |
26 | // Have fun! // | |
27 | // EasyDraw("CETmean~-CETmean_mean", "A", "(CETmean~-CETmean_mean)>0") // | |
28 | // // | |
29 | // If you like to click, we recommand you the // | |
30 | // AliTPCCalibViewerGUI // | |
31 | // // | |
32 | // THE DOCUMENTATION IS STILL NOT COMPLETED !!!! // | |
33 | // // | |
39bcd65d | 34 | /////////////////////////////////////////////////////////////////////////////// |
35 | ||
36 | // | |
37 | // ROOT includes | |
38 | // | |
39 | #include <iostream> | |
4f3934a1 | 40 | #include <fstream> |
39bcd65d | 41 | #include <TString.h> |
42 | #include <TRandom.h> | |
43 | #include <TLegend.h> | |
44 | #include <TLine.h> | |
45 | #include <TCanvas.h> | |
46 | #include <TROOT.h> | |
47 | #include <TStyle.h> | |
72d0ab7e | 48 | #include <TH1.h> |
39bcd65d | 49 | #include <TH1F.h> |
50 | #include <THashTable.h> | |
51 | #include <TObjString.h> | |
52 | #include "TTreeStream.h" | |
53 | #include "TFile.h" | |
54 | #include "TKey.h" | |
4f3934a1 | 55 | #include "TGraph.h" |
832bb12c | 56 | #include "TDirectory.h" |
4f3934a1 | 57 | #include "AliTPCCalibPulser.h" |
58 | #include "AliTPCCalibPedestal.h" | |
59 | #include "AliTPCCalibCE.h" | |
832bb12c | 60 | #include "TFriendElement.h" |
4f3934a1 | 61 | // #include "TObjArray.h" |
62 | // #include "TObjString.h" | |
63 | // #include "TString.h" | |
64 | // #include "AliTPCCalPad.h" | |
39bcd65d | 65 | |
66 | ||
67 | // | |
68 | // AliRoot includes | |
69 | // | |
70 | #include "AliTPCCalibViewer.h" | |
71 | ||
72 | ClassImp(AliTPCCalibViewer) | |
73 | ||
832bb12c | 74 | |
39bcd65d | 75 | AliTPCCalibViewer::AliTPCCalibViewer() |
76 | :TObject(), | |
77 | fTree(0), | |
78 | fFile(0), | |
a6d2bd0c | 79 | fListOfObjectsToBeDeleted(0), |
832bb12c | 80 | fTreeMustBeDeleted(0), |
81 | fAbbreviation(0), | |
82 | fAppendString(0) | |
39bcd65d | 83 | { |
84 | // | |
85 | // Default constructor | |
86 | // | |
87 | ||
88 | } | |
89 | ||
90 | //_____________________________________________________________________________ | |
91 | AliTPCCalibViewer::AliTPCCalibViewer(const AliTPCCalibViewer &c) | |
92 | :TObject(c), | |
93 | fTree(0), | |
94 | fFile(0), | |
a6d2bd0c | 95 | fListOfObjectsToBeDeleted(0), |
832bb12c | 96 | fTreeMustBeDeleted(0), |
97 | fAbbreviation(0), | |
98 | fAppendString(0) | |
39bcd65d | 99 | { |
100 | // | |
101 | // dummy AliTPCCalibViewer copy constructor | |
102 | // not yet working!!! | |
103 | // | |
104 | fTree = c.fTree; | |
a6d2bd0c | 105 | fTreeMustBeDeleted = c.fTreeMustBeDeleted; |
39bcd65d | 106 | //fFile = new TFile(*(c.fFile)); |
107 | fListOfObjectsToBeDeleted = c.fListOfObjectsToBeDeleted; | |
832bb12c | 108 | fAbbreviation = c.fAbbreviation; |
109 | fAppendString = c.fAppendString; | |
39bcd65d | 110 | } |
111 | ||
112 | //_____________________________________________________________________________ | |
113 | AliTPCCalibViewer::AliTPCCalibViewer(TTree* tree) | |
114 | :TObject(), | |
115 | fTree(0), | |
116 | fFile(0), | |
a6d2bd0c | 117 | fListOfObjectsToBeDeleted(0), |
832bb12c | 118 | fTreeMustBeDeleted(0), |
119 | fAbbreviation(0), | |
120 | fAppendString(0) | |
39bcd65d | 121 | { |
122 | // | |
123 | // Constructor that initializes the calibration viewer | |
124 | // | |
125 | fTree = tree; | |
a6d2bd0c | 126 | fTreeMustBeDeleted = kFALSE; |
39bcd65d | 127 | fListOfObjectsToBeDeleted = new TObjArray(); |
832bb12c | 128 | fAbbreviation = "~"; |
129 | fAppendString = ".fElements"; | |
39bcd65d | 130 | } |
131 | ||
132 | //_____________________________________________________________________________ | |
133 | AliTPCCalibViewer::AliTPCCalibViewer(char* fileName, char* treeName) | |
134 | :TObject(), | |
135 | fTree(0), | |
136 | fFile(0), | |
a6d2bd0c | 137 | fListOfObjectsToBeDeleted(0), |
832bb12c | 138 | fTreeMustBeDeleted(0), |
139 | fAbbreviation(0), | |
140 | fAppendString(0) | |
141 | ||
39bcd65d | 142 | { |
143 | // | |
144 | // Constructor to initialize the calibration viewer | |
145 | // the file 'fileName' contains the tree 'treeName' | |
146 | // | |
147 | fFile = new TFile(fileName, "read"); | |
148 | fTree = (TTree*) fFile->Get(treeName); | |
a6d2bd0c | 149 | fTreeMustBeDeleted = kTRUE; |
39bcd65d | 150 | fListOfObjectsToBeDeleted = new TObjArray(); |
832bb12c | 151 | fAbbreviation = "~"; |
152 | fAppendString = ".fElements"; | |
39bcd65d | 153 | } |
154 | ||
155 | //____________________________________________________________________________ | |
156 | AliTPCCalibViewer & AliTPCCalibViewer::operator =(const AliTPCCalibViewer & param) | |
157 | { | |
158 | // | |
159 | // assignment operator - dummy | |
160 | // not yet working!!! | |
161 | // | |
162 | fTree = param.fTree; | |
a6d2bd0c | 163 | fTreeMustBeDeleted = param.fTreeMustBeDeleted; |
39bcd65d | 164 | //fFile = new TFile(*(param.fFile)); |
165 | fListOfObjectsToBeDeleted = param.fListOfObjectsToBeDeleted; | |
832bb12c | 166 | fAbbreviation = param.fAbbreviation; |
167 | fAppendString = param.fAppendString; | |
39bcd65d | 168 | return (*this); |
169 | } | |
170 | ||
171 | //_____________________________________________________________________________ | |
172 | AliTPCCalibViewer::~AliTPCCalibViewer() | |
173 | { | |
174 | // | |
175 | // AliTPCCalibViewer destructor | |
a6d2bd0c | 176 | // all objects will be deleted, the file will be closed, the pictures will disappear |
39bcd65d | 177 | // |
a6d2bd0c | 178 | if (fTree && fTreeMustBeDeleted) { |
179 | fTree->SetCacheSize(0); | |
180 | fTree->Delete(); | |
181 | //delete fTree; | |
182 | } | |
39bcd65d | 183 | if (fFile) { |
184 | fFile->Close(); | |
185 | fFile = 0; | |
186 | } | |
187 | ||
188 | for (Int_t i = fListOfObjectsToBeDeleted->GetEntriesFast()-1; i >= 0; i--) { | |
189 | //cout << "Index " << i << " trying to delete the following object: " << fListOfObjectsToBeDeleted->At(i)->GetName() << "..."<< endl; | |
190 | delete fListOfObjectsToBeDeleted->At(i); | |
191 | } | |
192 | delete fListOfObjectsToBeDeleted; | |
193 | } | |
194 | ||
a6d2bd0c | 195 | //_____________________________________________________________________________ |
196 | void AliTPCCalibViewer::Delete(Option_t* option) { | |
197 | // | |
198 | // Should be called from AliTPCCalibViewerGUI class only. | |
199 | // If you use Delete() do not call the destructor. | |
200 | // All objects (except those contained in fListOfObjectsToBeDeleted) will be deleted, the file will be closed. | |
201 | // | |
202 | ||
203 | option = option; // to avoid warnings on compiling | |
204 | if (fTree && fTreeMustBeDeleted) { | |
205 | fTree->SetCacheSize(0); | |
206 | fTree->Delete(); | |
207 | } | |
208 | if (fFile) | |
209 | delete fFile; | |
210 | delete fListOfObjectsToBeDeleted; | |
211 | } | |
212 | ||
39bcd65d | 213 | //_____________________________________________________________________________ |
214 | Int_t AliTPCCalibViewer::EasyDraw(const char* drawCommand, const char* sector, const char* cuts, const char* drawOptions, Bool_t writeDrawCommand) const { | |
215 | // | |
216 | // easy drawing of data, use '~' for abbreviation of '.fElements' | |
217 | // example: EasyDraw("CETmean~-CETmean_mean", "A", "(CETmean~-CETmean_mean)>0") | |
218 | // sector: sector-number - only the specified sector will be drwawn | |
219 | // 'A'/'C' or 'a'/'c' - side A/C will be drawn | |
220 | // 'ALL' - whole TPC will be drawn, projected on one side | |
221 | // cuts: specifies cuts | |
222 | // drawOptions: draw options like 'same' | |
223 | // writeDrawCommand: write the command, that is passed to TTree::Draw | |
224 | // | |
72d0ab7e | 225 | |
39bcd65d | 226 | TString drawStr(drawCommand); |
227 | TString sectorStr(sector); | |
228 | sectorStr.ToUpper(); | |
229 | TString cutStr(""); | |
72d0ab7e | 230 | //TString drawOptionsStr("profcolz "); |
231 | TString drawOptionsStr(""); | |
39bcd65d | 232 | TRandom rnd(0); |
233 | Int_t rndNumber = rnd.Integer(10000); | |
72d0ab7e | 234 | |
235 | if (drawOptions && strcmp(drawOptions, "") != 0) | |
39bcd65d | 236 | drawOptionsStr += drawOptions; |
72d0ab7e | 237 | else |
238 | drawOptionsStr += "profcolz"; | |
39bcd65d | 239 | |
240 | if (sectorStr == "A") { | |
832bb12c | 241 | drawStr += Form(":gy%s:gx%s>>prof", fAppendString.Data(), fAppendString.Data()); |
39bcd65d | 242 | drawStr += rndNumber; |
243 | drawStr += "(330,-250,250,330,-250,250)"; | |
244 | cutStr += "(sector/18)%2==0 "; | |
245 | } | |
246 | else if (sectorStr == "C") { | |
832bb12c | 247 | drawStr += Form(":gy%s:gx%s>>prof", fAppendString.Data(), fAppendString.Data()); |
39bcd65d | 248 | drawStr += rndNumber; |
249 | drawStr += "(330,-250,250,330,-250,250)"; | |
250 | cutStr += "(sector/18)%2==1 "; | |
251 | } | |
252 | else if (sectorStr == "ALL") { | |
832bb12c | 253 | drawStr += Form(":gy%s:gx%s>>prof", fAppendString.Data(), fAppendString.Data()); |
39bcd65d | 254 | drawStr += rndNumber; |
255 | drawStr += "(330,-250,250,330,-250,250)"; | |
256 | } | |
257 | else if (sectorStr.IsDigit()) { | |
258 | Int_t isec = sectorStr.Atoi(); | |
832bb12c | 259 | drawStr += Form(":rpad%s:row%s>>prof", fAppendString.Data(), fAppendString.Data()); |
39bcd65d | 260 | drawStr += rndNumber; |
261 | if (isec < 36 && isec >= 0) | |
262 | drawStr += "(63,0,63,108,-54,54)"; | |
263 | else if (isec < 72 && isec >= 36) | |
264 | drawStr += "(96,0,96,140,-70,70)"; | |
265 | else { | |
266 | Error("EasyDraw","The TPC contains only sectors between 0 and 71."); | |
267 | return -1; | |
268 | } | |
269 | cutStr += "(sector=="; | |
270 | cutStr += isec; | |
271 | cutStr += ") "; | |
272 | } | |
273 | ||
274 | if (cuts && cuts[0] != 0) { | |
275 | if (cutStr.Length() != 0) cutStr += "&& "; | |
276 | cutStr += "("; | |
277 | cutStr += cuts; | |
278 | cutStr += ")"; | |
279 | } | |
832bb12c | 280 | drawStr.ReplaceAll(fAbbreviation, fAppendString); |
281 | cutStr.ReplaceAll(fAbbreviation, fAppendString); | |
39bcd65d | 282 | if (writeDrawCommand) std::cout << "fTree->Draw(\"" << drawStr << "\", \"" << cutStr << "\", \"" << drawOptionsStr << "\");" << std::endl; |
832bb12c | 283 | Int_t returnValue = fTree->Draw(drawStr.Data(), cutStr.Data(), drawOptionsStr.Data()); |
284 | TString profName("prof"); | |
285 | profName += rndNumber; | |
286 | TObject *obj = gDirectory->Get(profName.Data()); | |
287 | if (obj && obj->InheritsFrom("TH1")) FormatHistoLabels((TH1*)obj); | |
288 | return returnValue; | |
39bcd65d | 289 | } |
290 | ||
72d0ab7e | 291 | |
39bcd65d | 292 | Int_t AliTPCCalibViewer::EasyDraw(const char* drawCommand, Int_t sector, const char* cuts, const char* drawOptions, Bool_t writeDrawCommand) const { |
293 | // | |
294 | // easy drawing of data, use '~' for abbreviation of '.fElements' | |
295 | // example: EasyDraw("CETmean~-CETmean_mean", 34, "(CETmean~-CETmean_mean)>0") | |
296 | // sector: sector-number - only the specified sector will be drwawn | |
297 | // cuts: specifies cuts | |
298 | // drawOptions: draw options like 'same' | |
299 | // writeDrawCommand: write the command, that is passed to TTree::Draw | |
300 | // | |
301 | if (sector >= 0 && sector < 72) { | |
302 | char sectorChr[3]; | |
303 | sprintf(sectorChr, "%i", sector); | |
304 | return EasyDraw(drawCommand, sectorChr, cuts, drawOptions, writeDrawCommand); | |
305 | } | |
306 | Error("EasyDraw","The TPC contains only sectors between 0 and 71."); | |
307 | return -1; | |
308 | } | |
309 | ||
72d0ab7e | 310 | |
39bcd65d | 311 | //_____________________________________________________________________________ |
312 | Int_t AliTPCCalibViewer::EasyDraw1D(const char* drawCommand, const char* sector, const char* cuts, const char* drawOptions, Bool_t writeDrawCommand) const { | |
313 | // | |
314 | // easy drawing of data, use '~' for abbreviation of '.fElements' | |
315 | // example: EasyDraw("CETmean~-CETmean_mean", "A", "(CETmean~-CETmean_mean)>0") | |
316 | // sector: sector-number - the specified sector will be drwawn | |
317 | // 'A'/'C' or 'a'/'c' - side A/C will be drawn | |
318 | // 'ALL' - whole TPC will be drawn, projected on one side | |
319 | // cuts: specifies cuts | |
320 | // drawOptions: draw options like 'same' | |
321 | // writeDrawCommand: write the command, that is passed to TTree::Draw | |
322 | // | |
323 | ||
324 | TString drawStr(drawCommand); | |
325 | TString sectorStr(sector); | |
326 | TString drawOptionsStr(drawOptions); | |
327 | sectorStr.ToUpper(); | |
328 | TString cutStr(""); | |
329 | ||
330 | if (sectorStr == "A") | |
331 | cutStr += "(sector/18)%2==0 "; | |
332 | else if (sectorStr == "C") | |
333 | cutStr += "(sector/18)%2==1 "; | |
334 | else if (sectorStr.IsDigit()) { | |
335 | Int_t isec = sectorStr.Atoi(); | |
336 | if (isec < 0 || isec > 71) { | |
337 | Error("EasyDraw","The TPC contains only sectors between 0 and 71."); | |
338 | return -1; | |
339 | } | |
340 | cutStr += "(sector=="; | |
341 | cutStr += isec; | |
342 | cutStr += ") "; | |
343 | } | |
344 | ||
345 | if (cuts && cuts[0] != 0) { | |
346 | if (cutStr.Length() != 0) cutStr += "&& "; | |
347 | cutStr += "("; | |
348 | cutStr += cuts; | |
349 | cutStr += ")"; | |
350 | } | |
351 | ||
832bb12c | 352 | drawStr.ReplaceAll(fAbbreviation, fAppendString); |
353 | cutStr.ReplaceAll(fAbbreviation, fAppendString); | |
39bcd65d | 354 | if (writeDrawCommand) std::cout << "fTree->Draw(\"" << drawStr << "\", \"" << cutStr << "\", \"" << drawOptionsStr << "\");" << std::endl; |
832bb12c | 355 | Int_t returnValue = fTree->Draw(drawStr.Data(), cutStr.Data(), drawOptionsStr.Data()); |
356 | ||
357 | TObject *obj = gPad->GetPrimitive("htemp"); | |
358 | if (!obj) obj = (TH1F*)gDirectory->Get("htemp"); | |
359 | if (!obj) obj = gPad->GetPrimitive("tempHist"); | |
360 | if (!obj) obj = (TH1F*)gDirectory->Get("tempHist"); | |
361 | if (!obj) obj = gPad->GetPrimitive("Graph"); | |
362 | if (!obj) obj = (TH1F*)gDirectory->Get("Graph"); | |
363 | if (obj && obj->InheritsFrom("TH1")) FormatHistoLabels((TH1*)obj); | |
364 | return returnValue; | |
39bcd65d | 365 | } |
366 | ||
72d0ab7e | 367 | |
39bcd65d | 368 | Int_t AliTPCCalibViewer::EasyDraw1D(const char* drawCommand, Int_t sector, const char* cuts, const char* drawOptions, Bool_t writeDrawCommand) const { |
369 | // | |
370 | // easy drawing of data, use '~' for abbreviation of '.fElements' | |
371 | // example: EasyDraw("CETmean~-CETmean_mean", 34, "(CETmean~-CETmean_mean)>0") | |
372 | // sector: sector-number - the specified sector will be drwawn | |
373 | // cuts: specifies cuts | |
374 | // drawOptions: draw options like 'same' | |
375 | // writeDrawCommand: write the command, that is passed to TTree::Draw | |
376 | // | |
377 | ||
378 | if (sector >= 0 && sector < 72) { | |
379 | char sectorChr[3]; | |
380 | sprintf(sectorChr, "%i", sector); | |
381 | return EasyDraw1D(drawCommand, sectorChr, cuts, drawOptions, writeDrawCommand); | |
382 | } | |
383 | Error("EasyDraw","The TPC contains only sectors between 0 and 71."); | |
384 | return -1; | |
385 | } | |
386 | ||
39bcd65d | 387 | |
832bb12c | 388 | void AliTPCCalibViewer::FormatHistoLabels(TH1 *histo) const { |
389 | // | |
390 | // formats title and axis labels of histo | |
391 | // removes '.fElements' | |
392 | // | |
393 | if (!histo) return; | |
394 | TString replaceString(fAppendString.Data()); | |
395 | TString *str = new TString(histo->GetTitle()); | |
396 | str->ReplaceAll(replaceString, ""); | |
397 | histo->SetTitle(str->Data()); | |
398 | delete str; | |
399 | if (histo->GetXaxis()) { | |
400 | str = new TString(histo->GetXaxis()->GetTitle()); | |
401 | str->ReplaceAll(replaceString, ""); | |
402 | histo->GetXaxis()->SetTitle(str->Data()); | |
403 | delete str; | |
404 | } | |
405 | if (histo->GetYaxis()) { | |
406 | str = new TString(histo->GetYaxis()->GetTitle()); | |
407 | str->ReplaceAll(replaceString, ""); | |
408 | histo->GetYaxis()->SetTitle(str->Data()); | |
409 | delete str; | |
410 | } | |
411 | if (histo->GetZaxis()) { | |
412 | str = new TString(histo->GetZaxis()->GetTitle()); | |
413 | str->ReplaceAll(replaceString, ""); | |
414 | histo->GetZaxis()->SetTitle(str->Data()); | |
415 | delete str; | |
416 | } | |
417 | } | |
418 | ||
419 | ||
72d0ab7e | 420 | Int_t AliTPCCalibViewer::DrawHisto1D(const char* drawCommand, Int_t sector, const char* cuts, const char *sigmas, Bool_t plotMean, Bool_t plotMedian, Bool_t plotLTM) const { |
421 | // | |
422 | // Easy drawing of data, in principle the same as EasyDraw1D | |
423 | // Difference: A line for the mean / median / LTM is drawn | |
424 | // in 'sigmas' you can specify in which distance to the mean/median/LTM you want to see a line in sigma-units, separated by ';' | |
425 | // example: sigmas = "2; 4; 6;" at Begin_Latex 2 #sigma End_Latex, Begin_Latex 4 #sigma End_Latex and Begin_Latex 6 #sigma End_Latex a line is drawn. | |
426 | // "plotMean", "plotMedian" and "plotLTM": what kind of lines do you want to see? | |
427 | // | |
428 | if (sector >= 0 && sector < 72) { | |
429 | char sectorChr[3]; | |
430 | sprintf(sectorChr, "%i", sector); | |
431 | return DrawHisto1D(drawCommand, sectorChr, cuts, sigmas, plotMean, plotMedian, plotLTM); | |
432 | } | |
433 | Error("DrawHisto1D","The TPC contains only sectors between 0 and 71."); | |
434 | return -1; | |
435 | } | |
39bcd65d | 436 | |
72d0ab7e | 437 | |
438 | Int_t AliTPCCalibViewer::DrawHisto1D(const char* drawCommand, const char* sector, const char* cuts, const char *sigmas, Bool_t plotMean, Bool_t plotMedian, Bool_t plotLTM) const { | |
439 | // | |
440 | // Easy drawing of data, in principle the same as EasyDraw1D | |
441 | // Difference: A line for the mean / median / LTM is drawn | |
442 | // in 'sigmas' you can specify in which distance to the mean/median/LTM you want to see a line in sigma-units, separated by ';' | |
443 | // example: sigmas = "2; 4; 6;" at Begin_Latex 2 #sigma End_Latex, Begin_Latex 4 #sigma End_Latex and Begin_Latex 6 #sigma End_Latex a line is drawn. | |
444 | // "plotMean", "plotMedian" and "plotLTM": what kind of lines do you want to see? | |
445 | // | |
39bcd65d | 446 | Int_t oldOptStat = gStyle->GetOptStat(); |
447 | gStyle->SetOptStat(0000000); | |
72d0ab7e | 448 | Double_t ltmFraction = 0.8; |
449 | ||
450 | TObjArray *sigmasTokens = TString(sigmas).Tokenize(";"); | |
451 | TVectorF nsigma(sigmasTokens->GetEntriesFast()); | |
452 | for (Int_t i = 0; i < sigmasTokens->GetEntriesFast(); i++) { | |
453 | TString str(((TObjString*)sigmasTokens->At(i))->GetString()); | |
454 | Double_t sig = (str.IsFloat()) ? str.Atof() : 0; | |
455 | nsigma[i] = sig; | |
39bcd65d | 456 | } |
457 | ||
72d0ab7e | 458 | TString drawStr(drawCommand); |
832bb12c | 459 | Bool_t dangerousToDraw = drawStr.Contains(":") || drawStr.Contains(">>"); |
460 | if (dangerousToDraw) { | |
461 | Warning("DrawHisto1D", "The draw string must not contain ':' or '>>'."); | |
462 | return -1; | |
463 | } | |
72d0ab7e | 464 | drawStr += " >> tempHist"; |
465 | Int_t entries = EasyDraw1D(drawStr.Data(), sector, cuts); | |
466 | TH1F *htemp = (TH1F*)gDirectory->Get("tempHist"); | |
467 | // FIXME is this histogram deleted automatically? | |
468 | Double_t *values = fTree->GetV1(); // value is the array containing 'entries' numbers | |
469 | ||
470 | Double_t mean = TMath::Mean(entries, values); | |
471 | Double_t median = TMath::Median(entries, values); | |
472 | Double_t sigma = TMath::RMS(entries, values); | |
473 | Double_t maxY = htemp->GetMaximum(); | |
474 | ||
39bcd65d | 475 | char c[500]; |
72d0ab7e | 476 | TLegend * legend = new TLegend(.7,.7, .99, .99, "Statistical information"); |
477 | // sprintf(c, "%s, sector: %i", type, sector); | |
832bb12c | 478 | //fListOfObjectsToBeDeleted->Add(legend); |
39bcd65d | 479 | |
39bcd65d | 480 | if (plotMean) { |
72d0ab7e | 481 | // draw Mean |
482 | TLine* line = new TLine(mean, 0, mean, maxY); | |
832bb12c | 483 | //fListOfObjectsToBeDeleted->Add(line); |
39bcd65d | 484 | line->SetLineColor(kRed); |
485 | line->SetLineWidth(2); | |
486 | line->SetLineStyle(1); | |
487 | line->Draw(); | |
72d0ab7e | 488 | sprintf(c, "Mean: %f", mean); |
39bcd65d | 489 | legend->AddEntry(line, c, "l"); |
72d0ab7e | 490 | // draw sigma lines |
39bcd65d | 491 | for (Int_t i = 0; i < nsigma.GetNoElements(); i++) { |
72d0ab7e | 492 | TLine* linePlusSigma = new TLine(mean + nsigma[i] * sigma, 0, mean + nsigma[i] * sigma, maxY); |
832bb12c | 493 | //fListOfObjectsToBeDeleted->Add(linePlusSigma); |
39bcd65d | 494 | linePlusSigma->SetLineColor(kRed); |
72d0ab7e | 495 | linePlusSigma->SetLineStyle(2 + i); |
39bcd65d | 496 | linePlusSigma->Draw(); |
72d0ab7e | 497 | TLine* lineMinusSigma = new TLine(mean - nsigma[i] * sigma, 0, mean - nsigma[i] * sigma, maxY); |
832bb12c | 498 | //fListOfObjectsToBeDeleted->Add(lineMinusSigma); |
39bcd65d | 499 | lineMinusSigma->SetLineColor(kRed); |
72d0ab7e | 500 | lineMinusSigma->SetLineStyle(2 + i); |
39bcd65d | 501 | lineMinusSigma->Draw(); |
72d0ab7e | 502 | sprintf(c, "%i #sigma = %f",(Int_t)(nsigma[i]), (Float_t)(nsigma[i] * sigma)); |
39bcd65d | 503 | legend->AddEntry(lineMinusSigma, c, "l"); |
504 | } | |
505 | } | |
39bcd65d | 506 | if (plotMedian) { |
72d0ab7e | 507 | // draw median |
508 | TLine* line = new TLine(median, 0, median, maxY); | |
832bb12c | 509 | //fListOfObjectsToBeDeleted->Add(line); |
39bcd65d | 510 | line->SetLineColor(kBlue); |
511 | line->SetLineWidth(2); | |
512 | line->SetLineStyle(1); | |
513 | line->Draw(); | |
72d0ab7e | 514 | sprintf(c, "Median: %f", median); |
39bcd65d | 515 | legend->AddEntry(line, c, "l"); |
72d0ab7e | 516 | // draw sigma lines |
39bcd65d | 517 | for (Int_t i = 0; i < nsigma.GetNoElements(); i++) { |
72d0ab7e | 518 | TLine* linePlusSigma = new TLine(median + nsigma[i] * sigma, 0, median + nsigma[i]*sigma, maxY); |
832bb12c | 519 | //fListOfObjectsToBeDeleted->Add(linePlusSigma); |
39bcd65d | 520 | linePlusSigma->SetLineColor(kBlue); |
72d0ab7e | 521 | linePlusSigma->SetLineStyle(2 + i); |
39bcd65d | 522 | linePlusSigma->Draw(); |
72d0ab7e | 523 | TLine* lineMinusSigma = new TLine(median - nsigma[i] * sigma, 0, median - nsigma[i]*sigma, maxY); |
832bb12c | 524 | //fListOfObjectsToBeDeleted->Add(lineMinusSigma); |
39bcd65d | 525 | lineMinusSigma->SetLineColor(kBlue); |
72d0ab7e | 526 | lineMinusSigma->SetLineStyle(2 + i); |
39bcd65d | 527 | lineMinusSigma->Draw(); |
72d0ab7e | 528 | sprintf(c, "%i #sigma = %f",(Int_t)(nsigma[i]), (Float_t)(nsigma[i] * sigma)); |
39bcd65d | 529 | legend->AddEntry(lineMinusSigma, c, "l"); |
530 | } | |
531 | } | |
39bcd65d | 532 | if (plotLTM) { |
72d0ab7e | 533 | // draw LTM |
534 | Double_t ltmRms = 0; | |
535 | Double_t ltm = GetLTM(entries, values, <mRms, ltmFraction); | |
536 | TLine* line = new TLine(ltm, 0, ltm, maxY); | |
832bb12c | 537 | //fListOfObjectsToBeDeleted->Add(line); |
39bcd65d | 538 | line->SetLineColor(kGreen+2); |
539 | line->SetLineWidth(2); | |
540 | line->SetLineStyle(1); | |
541 | line->Draw(); | |
72d0ab7e | 542 | sprintf(c, "LTM: %f", ltm); |
39bcd65d | 543 | legend->AddEntry(line, c, "l"); |
72d0ab7e | 544 | // draw sigma lines |
39bcd65d | 545 | for (Int_t i = 0; i < nsigma.GetNoElements(); i++) { |
72d0ab7e | 546 | TLine* linePlusSigma = new TLine(ltm + nsigma[i] * ltmRms, 0, ltm + nsigma[i] * ltmRms, maxY); |
832bb12c | 547 | //fListOfObjectsToBeDeleted->Add(linePlusSigma); |
39bcd65d | 548 | linePlusSigma->SetLineColor(kGreen+2); |
549 | linePlusSigma->SetLineStyle(2+i); | |
550 | linePlusSigma->Draw(); | |
551 | ||
72d0ab7e | 552 | TLine* lineMinusSigma = new TLine(ltm - nsigma[i] * ltmRms, 0, ltm - nsigma[i] * ltmRms, maxY); |
832bb12c | 553 | //fListOfObjectsToBeDeleted->Add(lineMinusSigma); |
39bcd65d | 554 | lineMinusSigma->SetLineColor(kGreen+2); |
555 | lineMinusSigma->SetLineStyle(2+i); | |
556 | lineMinusSigma->Draw(); | |
72d0ab7e | 557 | sprintf(c, "%i #sigma = %f", (Int_t)(nsigma[i]), (Float_t)(nsigma[i] * ltmRms)); |
39bcd65d | 558 | legend->AddEntry(lineMinusSigma, c, "l"); |
559 | } | |
560 | } | |
72d0ab7e | 561 | if (!plotMean && !plotMedian && !plotLTM) return -1; |
39bcd65d | 562 | legend->Draw(); |
563 | gStyle->SetOptStat(oldOptStat); | |
72d0ab7e | 564 | return 1; |
39bcd65d | 565 | } |
566 | ||
39bcd65d | 567 | |
72d0ab7e | 568 | Int_t AliTPCCalibViewer::SigmaCut(const char* drawCommand, Int_t sector, const char* cuts, Float_t sigmaMax, Bool_t plotMean, Bool_t plotMedian, Bool_t plotLTM, Bool_t pm, const char *sigmas, Float_t sigmaStep) const { |
569 | // | |
570 | // Creates a histogram Begin_Latex S(t, #mu, #sigma) End_Latex, where you can see, how much of the data are inside sigma-intervals around the mean value | |
571 | // The data of the distribution Begin_Latex f(x, #mu, #sigma) End_Latex are given in 'array', 'n' specifies the length of the array | |
572 | // 'mean' and 'sigma' are Begin_Latex #mu End_Latex and Begin_Latex #sigma End_Latex of the distribution in 'array', to be specified by the user | |
573 | // 'nbins': number of bins, 'binLow': first bin, 'binUp': last bin | |
574 | // sigmaMax: up to which sigma around the mean/median/LTM the histogram is generated (in units of sigma, Begin_Latex t #sigma End_Latex) | |
575 | // sigmaStep: the binsize of the generated histogram | |
576 | // Begin_Latex | |
577 | // f(x, #mu, #sigma) #Rightarrow S(t, #mu, #sigma) = #frac{#int_{#mu}^{#mu + t #sigma} f(x, #mu, #sigma) dx + #int_{#mu}^{#mu - t #sigma} f(x, #mu, #sigma) dx }{ #int_{-#infty}^{+#infty} f(x, #mu, #sigma) dx } | |
578 | // End_Latex | |
579 | // | |
580 | // | |
581 | // Creates a histogram, where you can see, how much of the data are inside sigma-intervals | |
582 | // around the mean/median/LTM | |
583 | // with drawCommand, sector and cuts you specify your input data, see EasyDraw | |
584 | // sigmaMax: up to which sigma around the mean/median/LTM the histogram is generated (in units of sigma) | |
585 | // sigmaStep: the binsize of the generated histogram | |
586 | // plotMean/plotMedian/plotLTM: specifies where to put the center | |
587 | // | |
588 | if (sector >= 0 && sector < 72) { | |
589 | char sectorChr[3]; | |
590 | sprintf(sectorChr, "%i", sector); | |
591 | return SigmaCut(drawCommand, sectorChr, cuts, sigmaMax, plotMean, plotMedian, plotLTM, pm, sigmas, sigmaStep); | |
592 | } | |
593 | Error("SigmaCut","The TPC contains only sectors between 0 and 71."); | |
594 | return -1; | |
595 | } | |
596 | ||
597 | ||
598 | Int_t AliTPCCalibViewer::SigmaCut(const char* drawCommand, const char* sector, const char* cuts, Float_t sigmaMax, Bool_t plotMean, Bool_t plotMedian, Bool_t plotLTM, Bool_t pm, const char *sigmas, Float_t sigmaStep) const { | |
599 | // | |
600 | // Creates a histogram, where you can see, how much of the data are inside sigma-intervals | |
601 | // around the mean/median/LTM | |
602 | // with drawCommand, sector and cuts you specify your input data, see EasyDraw | |
603 | // sigmaMax: up to which sigma around the mean/median/LTM the histogram is generated (in units of sigma) | |
604 | // sigmaStep: the binsize of the generated histogram | |
605 | // plotMean/plotMedian/plotLTM: specifies where to put the center | |
606 | // | |
607 | ||
608 | Double_t ltmFraction = 0.8; | |
609 | ||
610 | TString drawStr(drawCommand); | |
832bb12c | 611 | Bool_t dangerousToDraw = drawStr.Contains(":") || drawStr.Contains(">>"); |
612 | if (dangerousToDraw) { | |
613 | Warning("SigmaCut", "The draw string must not contain ':' or '>>'."); | |
614 | return -1; | |
615 | } | |
72d0ab7e | 616 | drawStr += " >> tempHist"; |
617 | ||
618 | Int_t entries = EasyDraw1D(drawStr.Data(), sector, cuts, "goff"); | |
619 | TH1F *htemp = (TH1F*)gDirectory->Get("tempHist"); | |
620 | // FIXME is this histogram deleted automatically? | |
621 | Double_t *values = fTree->GetV1(); // value is the array containing 'entries' numbers | |
622 | ||
623 | Double_t mean = TMath::Mean(entries, values); | |
624 | Double_t median = TMath::Median(entries, values); | |
625 | Double_t sigma = TMath::RMS(entries, values); | |
626 | ||
627 | TLegend * legend = new TLegend(.7,.7, .99, .99, "Cumulative"); | |
832bb12c | 628 | //fListOfObjectsToBeDeleted->Add(legend); |
72d0ab7e | 629 | TH1F *cutHistoMean = 0; |
630 | TH1F *cutHistoMedian = 0; | |
631 | TH1F *cutHistoLTM = 0; | |
632 | ||
633 | TObjArray *sigmasTokens = TString(sigmas).Tokenize(";"); | |
634 | TVectorF nsigma(sigmasTokens->GetEntriesFast()); | |
635 | for (Int_t i = 0; i < sigmasTokens->GetEntriesFast(); i++) { | |
636 | TString str(((TObjString*)sigmasTokens->At(i))->GetString()); | |
637 | Double_t sig = (str.IsFloat()) ? str.Atof() : 0; | |
638 | nsigma[i] = sig; | |
639 | } | |
640 | ||
641 | if (plotMean) { | |
642 | cutHistoMean = AliTPCCalibViewer::SigmaCut(htemp, mean, sigma, sigmaMax, sigmaStep, pm); | |
643 | if (cutHistoMean) { | |
832bb12c | 644 | //fListOfObjectsToBeDeleted->Add(cutHistoMean); |
72d0ab7e | 645 | cutHistoMean->SetLineColor(kRed); |
646 | legend->AddEntry(cutHistoMean, "Mean", "l"); | |
647 | cutHistoMean->SetTitle(Form("%s, cumulative; Multiples of #sigma; Fraction of included data", htemp->GetTitle())); | |
648 | cutHistoMean->Draw(); | |
649 | DrawLines(cutHistoMean, nsigma, legend, kRed, pm); | |
650 | } // if (cutHistoMean) | |
651 | ||
652 | } | |
653 | if (plotMedian) { | |
654 | cutHistoMedian = AliTPCCalibViewer::SigmaCut(htemp, median, sigma, sigmaMax, sigmaStep, pm); | |
655 | if (cutHistoMedian) { | |
832bb12c | 656 | //fListOfObjectsToBeDeleted->Add(cutHistoMedian); |
72d0ab7e | 657 | cutHistoMedian->SetLineColor(kBlue); |
658 | legend->AddEntry(cutHistoMedian, "Median", "l"); | |
659 | cutHistoMedian->SetTitle(Form("%s, cumulative; Multiples of #sigma; Fraction of included data", htemp->GetTitle())); | |
660 | if (plotMean && cutHistoMean) cutHistoMedian->Draw("same"); | |
661 | else cutHistoMedian->Draw(); | |
662 | DrawLines(cutHistoMedian, nsigma, legend, kBlue, pm); | |
663 | } // if (cutHistoMedian) | |
664 | } | |
665 | if (plotLTM) { | |
666 | Double_t ltmRms = 0; | |
667 | Double_t ltm = GetLTM(entries, values, <mRms, ltmFraction); | |
668 | cutHistoLTM = AliTPCCalibViewer::SigmaCut(htemp, ltm, ltmRms, sigmaMax, sigmaStep, pm); | |
669 | if (cutHistoLTM) { | |
832bb12c | 670 | //fListOfObjectsToBeDeleted->Add(cutHistoLTM); |
72d0ab7e | 671 | cutHistoLTM->SetLineColor(kGreen+2); |
672 | legend->AddEntry(cutHistoLTM, "LTM", "l"); | |
673 | cutHistoLTM->SetTitle(Form("%s, cumulative; Multiples of #sigma; Fraction of included data", htemp->GetTitle())); | |
674 | if (plotMean && cutHistoMean || plotMedian && cutHistoMedian) cutHistoLTM->Draw("same"); | |
675 | else cutHistoLTM->Draw(); | |
676 | DrawLines(cutHistoLTM, nsigma, legend, kGreen+2, pm); | |
677 | } | |
678 | } | |
679 | if (!plotMean && !plotMedian && !plotLTM) return -1; | |
680 | legend->Draw(); | |
681 | return 1; | |
682 | } | |
683 | ||
832bb12c | 684 | |
4f3934a1 | 685 | Int_t AliTPCCalibViewer::SigmaCutNew(const char* drawCommand, const char* sector, const char* cuts, Float_t sigmaMax, Bool_t plotMean, Bool_t plotMedian, Bool_t plotLTM, Bool_t pm, const char *sigmas, Float_t sigmaStep) const { |
686 | // | |
687 | // Creates a histogram, where you can see, how much of the data are inside sigma-intervals | |
688 | // around the mean/median/LTM | |
689 | // with drawCommand, sector and cuts you specify your input data, see EasyDraw | |
690 | // sigmaMax: up to which sigma around the mean/median/LTM the histogram is generated (in units of sigma) | |
691 | // sigmaStep: the binsize of the generated histogram | |
692 | // plotMean/plotMedian/plotLTM: specifies where to put the center | |
693 | // | |
694 | ||
695 | // Double_t ltmFraction = 0.8; //unused | |
696 | // avoid compiler warnings: | |
697 | sigmaMax = sigmaMax; | |
698 | pm = pm; | |
699 | sigmaStep = sigmaStep; | |
700 | ||
701 | TString drawStr(drawCommand); | |
702 | drawStr += " >> tempHist"; | |
703 | ||
704 | Int_t entries = EasyDraw1D(drawStr.Data(), sector, cuts, "goff"); | |
705 | TH1F *htemp = (TH1F*)gDirectory->Get("tempHist"); | |
706 | TGraph *cutGraphMean = 0; | |
707 | // TGraph *cutGraphMedian = 0; | |
708 | // TGraph *cutGraphLTM = 0; | |
709 | Double_t *values = fTree->GetV1(); // value is the array containing 'entries' numbers | |
710 | Int_t *index = new Int_t[entries]; | |
711 | Float_t *xarray = new Float_t[entries]; | |
712 | Float_t *yarray = new Float_t[entries]; | |
713 | TMath::Sort(entries, values, index, kFALSE); | |
714 | ||
715 | Double_t mean = TMath::Mean(entries, values); | |
716 | // Double_t median = TMath::Median(entries, values); | |
717 | Double_t sigma = TMath::RMS(entries, values); | |
718 | ||
719 | TLegend * legend = new TLegend(.7,.7, .99, .99, "Cumulative"); | |
832bb12c | 720 | //fListOfObjectsToBeDeleted->Add(legend); |
4f3934a1 | 721 | |
722 | // parse sigmas string | |
723 | TObjArray *sigmasTokens = TString(sigmas).Tokenize(";"); | |
724 | TVectorF nsigma(sigmasTokens->GetEntriesFast()); | |
725 | for (Int_t i = 0; i < sigmasTokens->GetEntriesFast(); i++) { | |
726 | TString str(((TObjString*)sigmasTokens->At(i))->GetString()); | |
727 | Double_t sig = (str.IsFloat()) ? str.Atof() : 0; | |
728 | nsigma[i] = sig; | |
729 | } | |
730 | ||
731 | if (plotMean) { | |
732 | for (Int_t i = 0; i < entries; i++) { | |
733 | xarray[i] = TMath::Abs(values[index[i]] - mean) / sigma; | |
734 | yarray[i] = float(i) / float(entries); | |
735 | } | |
736 | cutGraphMean = new TGraph(entries, xarray, yarray); | |
737 | if (cutGraphMean) { | |
832bb12c | 738 | //fListOfObjectsToBeDeleted->Add(cutGraphMean); |
4f3934a1 | 739 | cutGraphMean->SetLineColor(kRed); |
740 | legend->AddEntry(cutGraphMean, "Mean", "l"); | |
741 | cutGraphMean->SetTitle(Form("%s, Cumulative; Multiples of #sigma; Fraction of included data", htemp->GetTitle())); | |
742 | cutGraphMean->Draw("alu"); | |
743 | DrawLines(cutGraphMean, nsigma, legend, kRed, kTRUE); | |
744 | } | |
745 | } | |
746 | /* | |
747 | if (plotMedian) { | |
748 | cutHistoMedian = AliTPCCalibViewer::SigmaCut(htemp, median, sigma, sigmaMax, sigmaStep, pm); | |
749 | if (cutHistoMedian) { | |
750 | fListOfObjectsToBeDeleted->Add(cutHistoMedian); | |
751 | cutHistoMedian->SetLineColor(kBlue); | |
752 | legend->AddEntry(cutHistoMedian, "Median", "l"); | |
753 | cutHistoMedian->SetTitle(Form("%s, cumulative; Multiples of #sigma; Fraction of included data", htemp->GetTitle())); | |
754 | if (plotMean && cutHistoMean) cutHistoMedian->Draw("same"); | |
755 | else cutHistoMedian->Draw(); | |
756 | DrawLines(cutHistoMedian, nsigma, legend, kBlue, pm); | |
757 | } // if (cutHistoMedian) | |
758 | } | |
759 | if (plotLTM) { | |
760 | Double_t ltmRms = 0; | |
761 | Double_t ltm = GetLTM(entries, values, <mRms, ltmFraction); | |
762 | cutHistoLTM = AliTPCCalibViewer::SigmaCut(htemp, ltm, ltmRms, sigmaMax, sigmaStep, pm); | |
763 | if (cutHistoLTM) { | |
764 | fListOfObjectsToBeDeleted->Add(cutHistoLTM); | |
765 | cutHistoLTM->SetLineColor(kGreen+2); | |
766 | legend->AddEntry(cutHistoLTM, "LTM", "l"); | |
767 | cutHistoLTM->SetTitle(Form("%s, cumulative; Multiples of #sigma; Fraction of included data", htemp->GetTitle())); | |
768 | if (plotMean && cutHistoMean || plotMedian && cutHistoMedian) cutHistoLTM->Draw("same"); | |
769 | else cutHistoLTM->Draw(); | |
770 | DrawLines(cutHistoLTM, nsigma, legend, kGreen+2, pm); | |
771 | } | |
772 | }*/ | |
773 | if (!plotMean && !plotMedian && !plotLTM) return -1; | |
774 | legend->Draw(); | |
775 | return 1; | |
776 | } | |
777 | ||
72d0ab7e | 778 | |
72d0ab7e | 779 | Int_t AliTPCCalibViewer::Integrate(const char* drawCommand, Int_t sector, const char* cuts, Float_t sigmaMax, Bool_t plotMean, Bool_t plotMedian, Bool_t plotLTM, const char *sigmas, Float_t sigmaStep) const { |
780 | // | |
781 | // Creates an integrated histogram Begin_Latex S(t, #mu, #sigma) End_Latex, out of the input distribution distribution Begin_Latex f(x, #mu, #sigma) End_Latex, given in "histogram" | |
782 | // "mean" and "sigma" are Begin_Latex #mu End_Latex and Begin_Latex #sigma End_Latex of the distribution in "histogram", to be specified by the user | |
783 | // sigmaMax: up to which sigma around the mean/median/LTM you want to integrate | |
784 | // if "igma == 0" and "sigmaMax == 0" the whole histogram is integrated | |
785 | // "sigmaStep": the binsize of the generated histogram, -1 means, that the maximal reasonable stepsize is used | |
786 | // The actual work is done on the array. | |
787 | /* Begin_Latex | |
788 | f(x, #mu, #sigma) #Rightarrow S(t, #mu, #sigma) = #frac{#int_{-#infty}^{#mu + t #sigma} f(x, #mu, #sigma) dx}{ #int_{-#infty}^{+#infty} f(x, #mu, #sigma) dx } | |
789 | End_Latex | |
790 | */ | |
791 | if (sector >= 0 && sector < 72) { | |
792 | char sectorChr[3]; | |
793 | sprintf(sectorChr, "%i", sector); | |
794 | return Integrate(drawCommand, sectorChr, cuts, sigmaMax, plotMean, plotMedian, plotLTM, sigmas, sigmaStep); | |
795 | } | |
796 | Error("Integrate","The TPC contains only sectors between 0 and 71."); | |
797 | return -1; | |
798 | ||
799 | } | |
800 | ||
801 | ||
4f3934a1 | 802 | Int_t AliTPCCalibViewer::IntegrateOld(const char* drawCommand, const char* sector, const char* cuts, Float_t sigmaMax, Bool_t plotMean, Bool_t plotMedian, Bool_t plotLTM, const char *sigmas, Float_t sigmaStep) const { |
72d0ab7e | 803 | // |
804 | // Creates an integrated histogram Begin_Latex S(t, #mu, #sigma) End_Latex, out of the input distribution distribution Begin_Latex f(x, #mu, #sigma) End_Latex, given in "histogram" | |
805 | // "mean" and "sigma" are Begin_Latex #mu End_Latex and Begin_Latex #sigma End_Latex of the distribution in "histogram", to be specified by the user | |
806 | // sigmaMax: up to which sigma around the mean/median/LTM you want to integrate | |
807 | // if "igma == 0" and "sigmaMax == 0" the whole histogram is integrated | |
808 | // "sigmaStep": the binsize of the generated histogram, -1 means, that the maximal reasonable stepsize is used | |
809 | // The actual work is done on the array. | |
810 | /* Begin_Latex | |
811 | f(x, #mu, #sigma) #Rightarrow S(t, #mu, #sigma) = #frac{#int_{-#infty}^{#mu + t #sigma} f(x, #mu, #sigma) dx}{ #int_{-#infty}^{+#infty} f(x, #mu, #sigma) dx } | |
812 | End_Latex | |
813 | */ | |
814 | ||
815 | Double_t ltmFraction = 0.8; | |
816 | ||
817 | TString drawStr(drawCommand); | |
818 | drawStr += " >> tempHist"; | |
819 | ||
820 | Int_t entries = EasyDraw1D(drawStr.Data(), sector, cuts, "goff"); | |
821 | TH1F *htemp = (TH1F*)gDirectory->Get("tempHist"); | |
822 | // FIXME is this histogram deleted automatically? | |
823 | Double_t *values = fTree->GetV1(); // value is the array containing 'entries' numbers | |
824 | ||
825 | Double_t mean = TMath::Mean(entries, values); | |
826 | Double_t median = TMath::Median(entries, values); | |
827 | Double_t sigma = TMath::RMS(entries, values); | |
828 | ||
829 | TObjArray *sigmasTokens = TString(sigmas).Tokenize(";"); | |
830 | TVectorF nsigma(sigmasTokens->GetEntriesFast()); | |
831 | for (Int_t i = 0; i < sigmasTokens->GetEntriesFast(); i++) { | |
832 | TString str(((TObjString*)sigmasTokens->At(i))->GetString()); | |
833 | Double_t sig = (str.IsFloat()) ? str.Atof() : 0; | |
834 | nsigma[i] = sig; | |
835 | } | |
836 | ||
837 | TLegend * legend = new TLegend(.7,.7, .99, .99, "Integrated histogram"); | |
832bb12c | 838 | //fListOfObjectsToBeDeleted->Add(legend); |
72d0ab7e | 839 | TH1F *integralHistoMean = 0; |
840 | TH1F *integralHistoMedian = 0; | |
841 | TH1F *integralHistoLTM = 0; | |
842 | ||
843 | if (plotMean) { | |
844 | integralHistoMean = AliTPCCalibViewer::Integrate(htemp, mean, sigma, sigmaMax, sigmaStep); | |
845 | if (integralHistoMean) { | |
832bb12c | 846 | //fListOfObjectsToBeDeleted->Add(integralHistoMean); |
72d0ab7e | 847 | integralHistoMean->SetLineColor(kRed); |
848 | legend->AddEntry(integralHistoMean, "Mean", "l"); | |
849 | integralHistoMean->SetTitle(Form("%s, integrated; Multiples of #sigma; Fraction of included data", htemp->GetTitle())); | |
850 | integralHistoMean->Draw(); | |
851 | DrawLines(integralHistoMean, nsigma, legend, kRed, kTRUE); | |
39bcd65d | 852 | } |
72d0ab7e | 853 | } |
854 | if (plotMedian) { | |
855 | integralHistoMedian = AliTPCCalibViewer::Integrate(htemp, median, sigma, sigmaMax, sigmaStep); | |
856 | if (integralHistoMedian) { | |
832bb12c | 857 | //fListOfObjectsToBeDeleted->Add(integralHistoMedian); |
72d0ab7e | 858 | integralHistoMedian->SetLineColor(kBlue); |
859 | legend->AddEntry(integralHistoMedian, "Median", "l"); | |
860 | integralHistoMedian->SetTitle(Form("%s, integrated; Multiples of #sigma; Fraction of included data", htemp->GetTitle())); | |
861 | if (plotMean && integralHistoMean) integralHistoMedian->Draw("same"); | |
862 | else integralHistoMedian->Draw(); | |
863 | DrawLines(integralHistoMedian, nsigma, legend, kBlue, kTRUE); | |
39bcd65d | 864 | } |
72d0ab7e | 865 | } |
866 | if (plotLTM) { | |
867 | Double_t ltmRms = 0; | |
868 | Double_t ltm = GetLTM(entries, values, <mRms, ltmFraction); | |
869 | integralHistoLTM = AliTPCCalibViewer::Integrate(htemp, ltm, ltmRms, sigmaMax, sigmaStep); | |
870 | if (integralHistoLTM) { | |
832bb12c | 871 | //fListOfObjectsToBeDeleted->Add(integralHistoLTM); |
72d0ab7e | 872 | integralHistoLTM->SetLineColor(kGreen+2); |
873 | legend->AddEntry(integralHistoLTM, "LTM", "l"); | |
874 | integralHistoLTM->SetTitle(Form("%s, integrated; Multiples of #sigma; Fraction of included data", htemp->GetTitle())); | |
875 | if (plotMean && integralHistoMean || plotMedian && integralHistoMedian) integralHistoLTM->Draw("same"); | |
876 | else integralHistoLTM->Draw(); | |
877 | DrawLines(integralHistoLTM, nsigma, legend, kGreen+2, kTRUE); | |
39bcd65d | 878 | } |
879 | } | |
72d0ab7e | 880 | if (!plotMean && !plotMedian && !plotLTM) return -1; |
881 | legend->Draw(); | |
882 | return 1; | |
883 | } | |
884 | ||
885 | ||
4f3934a1 | 886 | Int_t AliTPCCalibViewer::Integrate(const char* drawCommand, const char* sector, const char* cuts, Float_t sigmaMax, Bool_t plotMean, Bool_t plotMedian, Bool_t plotLTM, const char *sigmas, Float_t sigmaStep) const { |
887 | // | |
888 | // Creates an integrated histogram Begin_Latex S(t, #mu, #sigma) End_Latex, out of the input distribution distribution Begin_Latex f(x, #mu, #sigma) End_Latex, given in "histogram" | |
889 | // "mean" and "sigma" are Begin_Latex #mu End_Latex and Begin_Latex #sigma End_Latex of the distribution in "histogram", to be specified by the user | |
890 | // sigmaMax: up to which sigma around the mean/median/LTM you want to integrate | |
891 | // if "igma == 0" and "sigmaMax == 0" the whole histogram is integrated | |
892 | // "sigmaStep": the binsize of the generated histogram, -1 means, that the maximal reasonable stepsize is used | |
893 | // The actual work is done on the array. | |
894 | /* Begin_Latex | |
895 | f(x, #mu, #sigma) #Rightarrow S(t, #mu, #sigma) = #frac{#int_{-#infty}^{#mu + t #sigma} f(x, #mu, #sigma) dx}{ #int_{-#infty}^{+#infty} f(x, #mu, #sigma) dx } | |
896 | End_Latex | |
897 | */ | |
898 | ||
899 | Double_t ltmFraction = 0.8; | |
900 | // avoid compiler warnings: | |
901 | sigmaMax = sigmaMax; | |
902 | sigmaStep = sigmaStep; | |
903 | ||
904 | TString drawStr(drawCommand); | |
832bb12c | 905 | Bool_t dangerousToDraw = drawStr.Contains(":") || drawStr.Contains(">>"); |
906 | if (dangerousToDraw) { | |
907 | Warning("Integrate", "The draw string must not contain ':' or '>>'."); | |
908 | return -1; | |
909 | } | |
4f3934a1 | 910 | drawStr += " >> tempHist"; |
911 | ||
912 | Int_t entries = EasyDraw1D(drawStr.Data(), sector, cuts, "goff"); | |
913 | TH1F *htemp = (TH1F*)gDirectory->Get("tempHist"); | |
914 | TGraph *integralGraphMean = 0; | |
915 | TGraph *integralGraphMedian = 0; | |
916 | TGraph *integralGraphLTM = 0; | |
917 | Double_t *values = fTree->GetV1(); // value is the array containing 'entries' numbers | |
918 | Int_t *index = new Int_t[entries]; | |
919 | Float_t *xarray = new Float_t[entries]; | |
920 | Float_t *yarray = new Float_t[entries]; | |
921 | TMath::Sort(entries, values, index, kFALSE); | |
922 | ||
923 | Double_t mean = TMath::Mean(entries, values); | |
924 | Double_t median = TMath::Median(entries, values); | |
925 | Double_t sigma = TMath::RMS(entries, values); | |
926 | ||
927 | // parse sigmas string | |
928 | TObjArray *sigmasTokens = TString(sigmas).Tokenize(";"); | |
929 | TVectorF nsigma(sigmasTokens->GetEntriesFast()); | |
930 | for (Int_t i = 0; i < sigmasTokens->GetEntriesFast(); i++) { | |
931 | TString str(((TObjString*)sigmasTokens->At(i))->GetString()); | |
932 | Double_t sig = (str.IsFloat()) ? str.Atof() : 0; | |
933 | nsigma[i] = sig; | |
934 | } | |
935 | ||
936 | TLegend * legend = new TLegend(.7,.7, .99, .99, "Integrated histogram"); | |
832bb12c | 937 | //fListOfObjectsToBeDeleted->Add(legend); |
4f3934a1 | 938 | |
939 | if (plotMean) { | |
940 | for (Int_t i = 0; i < entries; i++) { | |
941 | xarray[i] = (values[index[i]] - mean) / sigma; | |
942 | yarray[i] = float(i) / float(entries); | |
943 | } | |
944 | integralGraphMean = new TGraph(entries, xarray, yarray); | |
945 | if (integralGraphMean) { | |
832bb12c | 946 | //fListOfObjectsToBeDeleted->Add(integralGraphMean); |
4f3934a1 | 947 | integralGraphMean->SetLineColor(kRed); |
948 | legend->AddEntry(integralGraphMean, "Mean", "l"); | |
949 | integralGraphMean->SetTitle(Form("%s, integrated; Multiples of #sigma; Fraction of included data", htemp->GetTitle())); | |
950 | integralGraphMean->Draw("alu"); | |
951 | DrawLines(integralGraphMean, nsigma, legend, kRed, kTRUE); | |
952 | } | |
953 | } | |
954 | if (plotMedian) { | |
955 | for (Int_t i = 0; i < entries; i++) { | |
956 | xarray[i] = (values[index[i]] - median) / sigma; | |
957 | yarray[i] = float(i) / float(entries); | |
958 | } | |
959 | integralGraphMedian = new TGraph(entries, xarray, yarray); | |
960 | if (integralGraphMedian) { | |
832bb12c | 961 | //fListOfObjectsToBeDeleted->Add(integralGraphMedian); |
4f3934a1 | 962 | integralGraphMedian->SetLineColor(kBlue); |
963 | legend->AddEntry(integralGraphMedian, "Median", "l"); | |
964 | integralGraphMedian->SetTitle(Form("%s, integrated; Multiples of #sigma; Fraction of included data", htemp->GetTitle())); | |
965 | if (plotMean && integralGraphMean) integralGraphMedian->Draw("samelu"); | |
966 | else integralGraphMedian->Draw("alu"); | |
967 | DrawLines(integralGraphMedian, nsigma, legend, kBlue, kTRUE); | |
968 | } | |
969 | } | |
970 | if (plotLTM) { | |
971 | Double_t ltmRms = 0; | |
972 | Double_t ltm = GetLTM(entries, values, <mRms, ltmFraction); | |
973 | for (Int_t i = 0; i < entries; i++) { | |
974 | xarray[i] = (values[index[i]] - ltm) / ltmRms; | |
975 | yarray[i] = float(i) / float(entries); | |
976 | } | |
977 | integralGraphLTM = new TGraph(entries, xarray, yarray); | |
978 | if (integralGraphLTM) { | |
832bb12c | 979 | //fListOfObjectsToBeDeleted->Add(integralGraphLTM); |
4f3934a1 | 980 | integralGraphLTM->SetLineColor(kGreen+2); |
981 | legend->AddEntry(integralGraphLTM, "LTM", "l"); | |
982 | integralGraphLTM->SetTitle(Form("%s, integrated; Multiples of #sigma; Fraction of included data", htemp->GetTitle())); | |
983 | if (plotMean && integralGraphMean || plotMedian && integralGraphMedian) integralGraphLTM->Draw("samelu"); | |
984 | else integralGraphLTM->Draw("alu"); | |
985 | DrawLines(integralGraphLTM, nsigma, legend, kGreen+2, kTRUE); | |
986 | } | |
987 | } | |
988 | if (!plotMean && !plotMedian && !plotLTM) return -1; | |
989 | legend->Draw(); | |
990 | return entries; | |
991 | } | |
992 | ||
993 | ||
72d0ab7e | 994 | void AliTPCCalibViewer::DrawLines(TH1F *histogram, TVectorF nsigma, TLegend *legend, Int_t color, Bool_t pm) const { |
995 | // | |
996 | // Private function for SigmaCut(...) and Integrate(...) | |
997 | // Draws lines into the given histogram, specified by "nsigma", the lines are addeed to the legend | |
998 | // | |
39bcd65d | 999 | |
72d0ab7e | 1000 | // start to draw the lines, loop over requested sigmas |
39bcd65d | 1001 | char c[500]; |
72d0ab7e | 1002 | for (Int_t i = 0; i < nsigma.GetNoElements(); i++) { |
1003 | if (!pm) { | |
1004 | Int_t bin = histogram->GetXaxis()->FindBin(nsigma[i]); | |
1005 | TLine* lineUp = new TLine(nsigma[i], 0, nsigma[i], histogram->GetBinContent(bin)); | |
832bb12c | 1006 | //fListOfObjectsToBeDeleted->Add(lineUp); |
72d0ab7e | 1007 | lineUp->SetLineColor(color); |
1008 | lineUp->SetLineStyle(2 + i); | |
1009 | lineUp->Draw(); | |
1010 | TLine* lineLeft = new TLine(nsigma[i], histogram->GetBinContent(bin), 0, histogram->GetBinContent(bin)); | |
832bb12c | 1011 | //fListOfObjectsToBeDeleted->Add(lineLeft); |
72d0ab7e | 1012 | lineLeft->SetLineColor(color); |
1013 | lineLeft->SetLineStyle(2 + i); | |
1014 | lineLeft->Draw(); | |
1015 | sprintf(c, "Fraction(%f #sigma) = %f",nsigma[i], histogram->GetBinContent(bin)); | |
1016 | legend->AddEntry(lineLeft, c, "l"); | |
1017 | } | |
1018 | else { // if (pm) | |
1019 | Int_t bin = histogram->GetXaxis()->FindBin(nsigma[i]); | |
1020 | TLine* lineUp1 = new TLine(nsigma[i], 0, nsigma[i], histogram->GetBinContent(bin)); | |
832bb12c | 1021 | //fListOfObjectsToBeDeleted->Add(lineUp1); |
72d0ab7e | 1022 | lineUp1->SetLineColor(color); |
1023 | lineUp1->SetLineStyle(2 + i); | |
1024 | lineUp1->Draw(); | |
1025 | TLine* lineLeft1 = new TLine(nsigma[i], histogram->GetBinContent(bin), histogram->GetBinLowEdge(0)+histogram->GetBinWidth(0), histogram->GetBinContent(bin)); | |
832bb12c | 1026 | //fListOfObjectsToBeDeleted->Add(lineLeft1); |
72d0ab7e | 1027 | lineLeft1->SetLineColor(color); |
1028 | lineLeft1->SetLineStyle(2 + i); | |
1029 | lineLeft1->Draw(); | |
1030 | sprintf(c, "Fraction(+%f #sigma) = %f",nsigma[i], histogram->GetBinContent(bin)); | |
1031 | legend->AddEntry(lineLeft1, c, "l"); | |
1032 | bin = histogram->GetXaxis()->FindBin(-nsigma[i]); | |
1033 | TLine* lineUp2 = new TLine(-nsigma[i], 0, -nsigma[i], histogram->GetBinContent(bin)); | |
832bb12c | 1034 | //fListOfObjectsToBeDeleted->Add(lineUp2); |
72d0ab7e | 1035 | lineUp2->SetLineColor(color); |
1036 | lineUp2->SetLineStyle(2 + i); | |
1037 | lineUp2->Draw(); | |
1038 | TLine* lineLeft2 = new TLine(-nsigma[i], histogram->GetBinContent(bin), histogram->GetBinLowEdge(0)+histogram->GetBinWidth(0), histogram->GetBinContent(bin)); | |
832bb12c | 1039 | //fListOfObjectsToBeDeleted->Add(lineLeft2); |
72d0ab7e | 1040 | lineLeft2->SetLineColor(color); |
1041 | lineLeft2->SetLineStyle(2 + i); | |
1042 | lineLeft2->Draw(); | |
1043 | sprintf(c, "Fraction(-%f #sigma) = %f",nsigma[i], histogram->GetBinContent(bin)); | |
1044 | legend->AddEntry(lineLeft2, c, "l"); | |
1045 | } | |
1046 | } // for (Int_t i = 0; i < nsigma.GetNoElements(); i++) | |
1047 | } | |
1048 | ||
1049 | ||
4f3934a1 | 1050 | void AliTPCCalibViewer::DrawLines(TGraph *graph, TVectorF nsigma, TLegend *legend, Int_t color, Bool_t pm) const { |
1051 | // | |
1052 | // Private function for SigmaCut(...) and Integrate(...) | |
1053 | // Draws lines into the given histogram, specified by "nsigma", the lines are addeed to the legend | |
1054 | // | |
1055 | ||
1056 | // start to draw the lines, loop over requested sigmas | |
1057 | char c[500]; | |
1058 | for (Int_t i = 0; i < nsigma.GetNoElements(); i++) { | |
1059 | if (!pm) { | |
1060 | TLine* lineUp = new TLine(nsigma[i], 0, nsigma[i], graph->Eval(nsigma[i])); | |
832bb12c | 1061 | //fListOfObjectsToBeDeleted->Add(lineUp); |
4f3934a1 | 1062 | lineUp->SetLineColor(color); |
1063 | lineUp->SetLineStyle(2 + i); | |
1064 | lineUp->Draw(); | |
1065 | TLine* lineLeft = new TLine(nsigma[i], graph->Eval(nsigma[i]), 0, graph->Eval(nsigma[i])); | |
832bb12c | 1066 | //fListOfObjectsToBeDeleted->Add(lineLeft); |
4f3934a1 | 1067 | lineLeft->SetLineColor(color); |
1068 | lineLeft->SetLineStyle(2 + i); | |
1069 | lineLeft->Draw(); | |
1070 | sprintf(c, "Fraction(%f #sigma) = %f",nsigma[i], graph->Eval(nsigma[i])); | |
1071 | legend->AddEntry(lineLeft, c, "l"); | |
1072 | } | |
1073 | else { // if (pm) | |
1074 | TLine* lineUp1 = new TLine(nsigma[i], 0, nsigma[i], graph->Eval(nsigma[i])); | |
832bb12c | 1075 | //fListOfObjectsToBeDeleted->Add(lineUp1); |
4f3934a1 | 1076 | lineUp1->SetLineColor(color); |
1077 | lineUp1->SetLineStyle(2 + i); | |
1078 | lineUp1->Draw(); | |
1079 | TLine* lineLeft1 = new TLine(nsigma[i], graph->Eval(nsigma[i]), graph->GetHistogram()->GetXaxis()->GetBinLowEdge(0), graph->Eval(nsigma[i])); | |
832bb12c | 1080 | //fListOfObjectsToBeDeleted->Add(lineLeft1); |
4f3934a1 | 1081 | lineLeft1->SetLineColor(color); |
1082 | lineLeft1->SetLineStyle(2 + i); | |
1083 | lineLeft1->Draw(); | |
1084 | sprintf(c, "Fraction(+%f #sigma) = %f",nsigma[i], graph->Eval(nsigma[i])); | |
1085 | legend->AddEntry(lineLeft1, c, "l"); | |
1086 | TLine* lineUp2 = new TLine(-nsigma[i], 0, -nsigma[i], graph->Eval(-nsigma[i])); | |
832bb12c | 1087 | //fListOfObjectsToBeDeleted->Add(lineUp2); |
4f3934a1 | 1088 | lineUp2->SetLineColor(color); |
1089 | lineUp2->SetLineStyle(2 + i); | |
1090 | lineUp2->Draw(); | |
1091 | TLine* lineLeft2 = new TLine(-nsigma[i], graph->Eval(-nsigma[i]), graph->GetHistogram()->GetXaxis()->GetBinLowEdge(0), graph->Eval(-nsigma[i])); | |
832bb12c | 1092 | //fListOfObjectsToBeDeleted->Add(lineLeft2); |
4f3934a1 | 1093 | lineLeft2->SetLineColor(color); |
1094 | lineLeft2->SetLineStyle(2 + i); | |
1095 | lineLeft2->Draw(); | |
1096 | sprintf(c, "Fraction(-%f #sigma) = %f",nsigma[i], graph->Eval(-nsigma[i])); | |
1097 | legend->AddEntry(lineLeft2, c, "l"); | |
1098 | } | |
1099 | } // for (Int_t i = 0; i < nsigma.GetNoElements(); i++) | |
1100 | } | |
1101 | ||
72d0ab7e | 1102 | |
1103 | ||
1104 | ||
1105 | ||
1106 | ///////////////// | |
1107 | // Array tools // | |
1108 | ///////////////// | |
1109 | ||
1110 | ||
1111 | Int_t AliTPCCalibViewer::GetBin(Float_t value, Int_t nbins, Double_t binLow, Double_t binUp){ | |
1112 | // Returns the 'bin' for 'value' | |
1113 | // The interval between 'binLow' and 'binUp' is divided into 'nbins' equidistant bins | |
1114 | // avoid index out of bounds error: 'if (bin < binLow) bin = binLow' and vice versa | |
1115 | /* Begin_Latex | |
1116 | GetBin(value) = #frac{nbins - 1}{binUp - binLow} #upoint (value - binLow) +1 | |
1117 | End_Latex | |
1118 | */ | |
1119 | ||
1120 | Int_t bin = TMath::Nint( (Float_t)(value - binLow) / (Float_t)(binUp - binLow) * (nbins-1) ) + 1; | |
1121 | // avoid index out of bounds: | |
1122 | if (value < binLow) bin = 0; | |
1123 | if (value > binUp) bin = nbins + 1; | |
1124 | return bin; | |
39bcd65d | 1125 | |
72d0ab7e | 1126 | } |
39bcd65d | 1127 | |
72d0ab7e | 1128 | |
1129 | Double_t AliTPCCalibViewer::GetLTM(Int_t n, Double_t *array, Double_t *sigma, Double_t fraction){ | |
1130 | // | |
1131 | // returns the LTM and sigma | |
1132 | // | |
1133 | Double_t *ddata = new Double_t[n]; | |
1134 | Double_t mean = 0, lsigma = 0; | |
1135 | UInt_t nPoints = 0; | |
1136 | for (UInt_t i = 0; i < (UInt_t)n; i++) { | |
1137 | ddata[nPoints]= array[nPoints]; | |
1138 | nPoints++; | |
1139 | } | |
1140 | Int_t hh = TMath::Min(TMath::Nint(fraction * nPoints), Int_t(n)); | |
1141 | AliMathBase::EvaluateUni(nPoints, ddata, mean, lsigma, hh); | |
1142 | if (sigma) *sigma = lsigma; | |
1143 | delete [] ddata; | |
1144 | return mean; | |
39bcd65d | 1145 | } |
1146 | ||
1147 | ||
72d0ab7e | 1148 | TH1F* AliTPCCalibViewer::SigmaCut(TH1F *histogram, Float_t mean, Float_t sigma, Float_t sigmaMax, Float_t sigmaStep, Bool_t pm) { |
1149 | // | |
1150 | // Creates a cumulative histogram Begin_Latex S(t, #mu, #sigma) End_Latex, where you can see, how much of the data are inside sigma-intervals around the mean value | |
1151 | // The data of the distribution Begin_Latex f(x, #mu, #sigma) End_Latex are given in 'histogram' | |
1152 | // 'mean' and 'sigma' are Begin_Latex #mu End_Latex and Begin_Latex #sigma End_Latex of the distribution in 'histogram', to be specified by the user | |
1153 | // sigmaMax: up to which sigma around the mean/median/LTM the histogram is generated (in units of sigma, Begin_Latex t #sigma End_Latex) | |
1154 | // sigmaStep: the binsize of the generated histogram, -1 means, that the maximal reasonable stepsize is used | |
1155 | // pm: Decide weather Begin_Latex t > 0 End_Latex (first case) or Begin_Latex t End_Latex arbitrary (secound case) | |
1156 | // The actual work is done on the array. | |
1157 | /* Begin_Latex | |
1158 | f(x, #mu, #sigma) #Rightarrow S(t, #mu, #sigma) = #frac{#int_{#mu}^{#mu + t #sigma} f(x, #mu, #sigma) dx + #int_{#mu}^{#mu - t #sigma} f(x, #mu, #sigma) dx }{ #int_{-#infty}^{+#infty} f(x, #mu, #sigma) dx } , for t > 0 | |
1159 | or | |
1160 | f(x, #mu, #sigma) #Rightarrow S(t, #mu, #sigma) = #frac{#int_{#mu}^{#mu + t #sigma} f(x, #mu, #sigma) dx}{ #int_{-#infty}^{+#infty} f(x, #mu, #sigma) dx } | |
1161 | End_Latex | |
1162 | begin_macro(source) | |
1163 | { | |
1164 | Float_t mean = 0; | |
1165 | Float_t sigma = 1.5; | |
1166 | Float_t sigmaMax = 4; | |
1167 | gROOT->SetStyle("Plain"); | |
5547c0ab | 1168 | TH1F *distribution = new TH1F("Distribution1", "Distribution f(x, #mu, #sigma)", 1000,-5,5); |
72d0ab7e | 1169 | TRandom rand(23); |
1170 | for (Int_t i = 0; i <50000;i++) distribution->Fill(rand.Gaus(mean, sigma)); | |
1171 | Float_t *ar = distribution->GetArray(); | |
1172 | ||
5547c0ab | 1173 | TCanvas* macro_example_canvas = new TCanvas("macro_example_canvas_SigmaCut", "", 350, 350); |
72d0ab7e | 1174 | macro_example_canvas->Divide(0,3); |
1175 | TVirtualPad *pad1 = macro_example_canvas->cd(1); | |
1176 | pad1->SetGridy(); | |
1177 | pad1->SetGridx(); | |
1178 | distribution->Draw(); | |
1179 | TVirtualPad *pad2 = macro_example_canvas->cd(2); | |
1180 | pad2->SetGridy(); | |
1181 | pad2->SetGridx(); | |
1182 | ||
1183 | TH1F *shist = AliTPCCalibViewer::SigmaCut(distribution, mean, sigma, sigmaMax); | |
1184 | shist->SetNameTitle("Cumulative","Cumulative S(t, #mu, #sigma)"); | |
1185 | shist->Draw(); | |
1186 | TVirtualPad *pad3 = macro_example_canvas->cd(3); | |
1187 | pad3->SetGridy(); | |
1188 | pad3->SetGridx(); | |
1189 | TH1F *shistPM = AliTPCCalibViewer::SigmaCut(distribution, mean, sigma, sigmaMax, -1, kTRUE); | |
1190 | shistPM->Draw(); | |
1191 | return macro_example_canvas; | |
1192 | } | |
1193 | end_macro | |
1194 | */ | |
1195 | ||
1196 | Float_t *array = histogram->GetArray(); | |
1197 | Int_t nbins = histogram->GetXaxis()->GetNbins(); | |
1198 | Float_t binLow = histogram->GetXaxis()->GetXmin(); | |
1199 | Float_t binUp = histogram->GetXaxis()->GetXmax(); | |
1200 | return AliTPCCalibViewer::SigmaCut(nbins, array, mean, sigma, nbins, binLow, binUp, sigmaMax, sigmaStep, pm); | |
1201 | } | |
1202 | ||
1203 | ||
72d0ab7e | 1204 | TH1F* AliTPCCalibViewer::SigmaCut(Int_t n, Float_t *array, Float_t mean, Float_t sigma, Int_t nbins, Float_t binLow, Float_t binUp, Float_t sigmaMax, Float_t sigmaStep, Bool_t pm){ |
1205 | // | |
1206 | // Creates a histogram Begin_Latex S(t, #mu, #sigma) End_Latex, where you can see, how much of the data are inside sigma-intervals around the mean value | |
1207 | // The data of the distribution Begin_Latex f(x, #mu, #sigma) End_Latex are given in 'array', 'n' specifies the length of the array | |
1208 | // 'mean' and 'sigma' are Begin_Latex #mu End_Latex and Begin_Latex #sigma End_Latex of the distribution in 'array', to be specified by the user | |
1209 | // 'nbins': number of bins, 'binLow': first bin, 'binUp': last bin | |
1210 | // sigmaMax: up to which sigma around the mean/median/LTM the histogram is generated (in units of sigma, Begin_Latex t #sigma End_Latex) | |
1211 | // sigmaStep: the binsize of the generated histogram | |
1212 | // Here the actual work is done. | |
1213 | ||
1214 | if (sigma == 0) return 0; | |
1215 | Float_t binWidth = (binUp-binLow)/(nbins - 1); | |
1216 | if (sigmaStep <= 0) sigmaStep = binWidth; | |
1217 | Int_t kbins = (Int_t)(sigmaMax * sigma / sigmaStep) + 1; // + 1 due to overflow bin in histograms | |
1218 | if (pm) kbins = 2 * (Int_t)(sigmaMax * sigma / sigmaStep) + 1; | |
1219 | Float_t kbinLow = !pm ? 0 : -sigmaMax; | |
1220 | Float_t kbinUp = sigmaMax; | |
1221 | TH1F *hist = new TH1F("sigmaCutHisto","Cumulative; Multiples of #sigma; Fraction of included data", kbins, kbinLow, kbinUp); | |
1222 | hist->SetDirectory(0); | |
1223 | hist->Reset(); | |
1224 | ||
1225 | // calculate normalization | |
1226 | Double_t normalization = 0; | |
1227 | for (Int_t i = 0; i <= n; i++) { | |
1228 | normalization += array[i]; | |
1229 | } | |
1230 | ||
1231 | // given units: units from given histogram | |
1232 | // sigma units: in units of sigma | |
1233 | // iDelta: integrate in interval (mean +- iDelta), given units | |
1234 | // x: ofset from mean for integration, given units | |
1235 | // hist: needs | |
1236 | ||
1237 | // printf("nbins: %i, binLow: %f, binUp: %f \n", nbins, binLow, binUp); | |
1238 | // fill histogram | |
1239 | for (Float_t iDelta = 0; iDelta <= sigmaMax * sigma; iDelta += sigmaStep) { | |
1240 | // integrate array | |
1241 | Double_t valueP = array[GetBin(mean, nbins, binLow, binUp)]; | |
1242 | Double_t valueM = array[GetBin(mean-binWidth, nbins, binLow, binUp)]; | |
1243 | // add bin of mean value only once to the histogram | |
1244 | // printf("++ adding bins: "); | |
1245 | for (Float_t x = binWidth; x <= iDelta; x += binWidth) { | |
1246 | valueP += (mean + x <= binUp) ? array[GetBin(mean + x, nbins, binLow, binUp)] : 0; | |
1247 | valueM += (mean-binWidth - x >= binLow) ? array[GetBin(mean-binWidth - x, nbins, binLow, binUp)] : 0; | |
1248 | // printf("%i, ", GetBin(mean + x, nbins, binLow, binUp)); | |
1249 | } | |
1250 | // printf("\n"); | |
1251 | if (valueP / normalization > 100) printf("+++ Error, value to big: %f, normalization with %f will fail +++ \n", valueP, normalization); | |
1252 | if (valueP / normalization > 100) return hist; | |
1253 | if (valueM / normalization > 100) printf("+++ Error, value to big: %f, normalization with %f will fail +++ \n", valueM, normalization); | |
1254 | if (valueM / normalization > 100) return hist; | |
1255 | valueP = (valueP / normalization); | |
1256 | valueM = (valueM / normalization); | |
1257 | if (pm) { | |
1258 | Int_t bin = GetBin(iDelta/sigma, kbins, kbinLow, kbinUp); | |
1259 | hist->SetBinContent(bin, valueP); | |
1260 | bin = GetBin(-iDelta/sigma, kbins, kbinLow, kbinUp); | |
1261 | hist->SetBinContent(bin, valueM); | |
1262 | } | |
1263 | else { // if (!pm) | |
1264 | Int_t bin = GetBin(iDelta/sigma, kbins, kbinLow, kbinUp); | |
1265 | hist->SetBinContent(bin, valueP + valueM); | |
1266 | // printf(" first integration bin: %i, last integration bin in + direction: %i \n", GetBin(mean+binWidth, nbins, binLow, binUp), GetBin(iDelta, nbins, binLow, binUp)); | |
1267 | // printf(" first integration bin: %i, last integration bin in - direction: %i \n", GetBin(mean+binWidth, nbins, binLow, binUp), GetBin(-iDelta, nbins, binLow, binUp)); | |
1268 | // printf(" value: %f, normalization: %f, iDelta: %f, Bin: %i \n", valueP+valueM, normalization, iDelta, bin); | |
1269 | } | |
1270 | } | |
1271 | //hist->SetMaximum(0.7); | |
1272 | if (!pm) hist->SetMaximum(1.2); | |
1273 | return hist; | |
1274 | } | |
1275 | ||
1276 | ||
1277 | TH1F* AliTPCCalibViewer::SigmaCut(Int_t n, Double_t *array, Double_t mean, Double_t sigma, Int_t nbins, Double_t *xbins, Double_t sigmaMax){ | |
1278 | // | |
1279 | // SigmaCut for variable binsize | |
1280 | // NOT YET IMPLEMENTED !!! | |
1281 | // | |
1282 | printf("SigmaCut with variable binsize, Not yet implemented\n"); | |
1283 | // avoid compiler warnings: | |
1284 | n=n; | |
1285 | mean=mean; | |
1286 | sigma=sigma; | |
1287 | nbins=nbins; | |
1288 | sigmaMax=sigmaMax; | |
1289 | array=array; | |
1290 | xbins=xbins; | |
1291 | ||
1292 | return 0; | |
1293 | } | |
1294 | ||
1295 | ||
1296 | TH1F* AliTPCCalibViewer::Integrate(TH1F *histogram, Float_t mean, Float_t sigma, Float_t sigmaMax, Float_t sigmaStep){ | |
1297 | // | |
1298 | // Creates an integrated histogram Begin_Latex S(t, #mu, #sigma) End_Latex, out of the input distribution distribution Begin_Latex f(x, #mu, #sigma) End_Latex, given in "histogram" | |
1299 | // "mean" and "sigma" are Begin_Latex #mu End_Latex and Begin_Latex #sigma End_Latex of the distribution in "histogram", to be specified by the user | |
1300 | // sigmaMax: up to which sigma around the mean/median/LTM you want to integrate | |
1301 | // if "igma == 0" and "sigmaMax == 0" the whole histogram is integrated | |
1302 | // "sigmaStep": the binsize of the generated histogram, -1 means, that the maximal reasonable stepsize is used | |
1303 | // The actual work is done on the array. | |
1304 | /* Begin_Latex | |
1305 | f(x, #mu, #sigma) #Rightarrow S(t, #mu, #sigma) = #frac{#int_{-#infty}^{#mu + t #sigma} f(x, #mu, #sigma) dx}{ #int_{-#infty}^{+#infty} f(x, #mu, #sigma) dx } | |
1306 | End_Latex | |
1307 | begin_macro(source) | |
1308 | { | |
1309 | Float_t mean = 0; | |
1310 | Float_t sigma = 1.5; | |
1311 | Float_t sigmaMax = 4; | |
1312 | gROOT->SetStyle("Plain"); | |
5547c0ab | 1313 | TH1F *distribution = new TH1F("Distribution2", "Distribution f(x, #mu, #sigma)", 1000,-5,5); |
72d0ab7e | 1314 | TRandom rand(23); |
1315 | for (Int_t i = 0; i <50000;i++) distribution->Fill(rand.Gaus(mean, sigma)); | |
1316 | Float_t *ar = distribution->GetArray(); | |
1317 | ||
5547c0ab | 1318 | TCanvas* macro_example_canvas = new TCanvas("macro_example_canvas_Integrate", "", 350, 350); |
72d0ab7e | 1319 | macro_example_canvas->Divide(0,2); |
1320 | TVirtualPad *pad1 = macro_example_canvas->cd(1); | |
1321 | pad1->SetGridy(); | |
1322 | pad1->SetGridx(); | |
1323 | distribution->Draw(); | |
1324 | TVirtualPad *pad2 = macro_example_canvas->cd(2); | |
1325 | pad2->SetGridy(); | |
1326 | pad2->SetGridx(); | |
1327 | TH1F *shist = AliTPCCalibViewer::Integrate(distribution, mean, sigma, sigmaMax); | |
1328 | shist->SetNameTitle("Cumulative","Cumulative S(t, #mu, #sigma)"); | |
1329 | shist->Draw(); | |
1330 | ||
7072d276 | 1331 | return macro_example_canvas_Integrate; |
72d0ab7e | 1332 | } |
1333 | end_macro | |
1334 | */ | |
1335 | ||
1336 | ||
1337 | Float_t *array = histogram->GetArray(); | |
1338 | Int_t nbins = histogram->GetXaxis()->GetNbins(); | |
1339 | Float_t binLow = histogram->GetXaxis()->GetXmin(); | |
1340 | Float_t binUp = histogram->GetXaxis()->GetXmax(); | |
1341 | return AliTPCCalibViewer::Integrate(nbins, array, nbins, binLow, binUp, mean, sigma, sigmaMax, sigmaStep); | |
1342 | } | |
1343 | ||
1344 | ||
1345 | TH1F* AliTPCCalibViewer::Integrate(Int_t n, Float_t *array, Int_t nbins, Float_t binLow, Float_t binUp, Float_t mean, Float_t sigma, Float_t sigmaMax, Float_t sigmaStep){ | |
1346 | // Creates an integrated histogram Begin_Latex S(t, #mu, #sigma) End_Latex, out of the input distribution distribution Begin_Latex f(x, #mu, #sigma) End_Latex, given in "histogram" | |
1347 | // "mean" and "sigma" are Begin_Latex #mu End_Latex and Begin_Latex #sigma End_Latex of the distribution in "histogram", to be specified by the user | |
1348 | // sigmaMax: up to which sigma around the mean/median/LTM you want to integrate | |
1349 | // if "igma == 0" and "sigmaMax == 0" the whole histogram is integrated | |
1350 | // "sigmaStep": the binsize of the generated histogram, -1 means, that the maximal reasonable stepsize is used | |
1351 | // Here the actual work is done. | |
1352 | ||
1353 | Bool_t givenUnits = kTRUE; | |
1354 | if (sigma != 0 && sigmaMax != 0) givenUnits = kFALSE; | |
1355 | if (givenUnits) { | |
1356 | sigma = 1; | |
1357 | sigmaMax = (binUp - binLow) / 2.; | |
1358 | } | |
1359 | ||
1360 | Float_t binWidth = (binUp-binLow)/(nbins - 1); | |
1361 | if (sigmaStep <= 0) sigmaStep = binWidth; | |
1362 | Int_t kbins = (Int_t)(sigmaMax * sigma / sigmaStep) + 1; // + 1 due to overflow bin in histograms | |
1363 | Float_t kbinLow = givenUnits ? binLow : -sigmaMax; | |
1364 | Float_t kbinUp = givenUnits ? binUp : sigmaMax; | |
1365 | TH1F *hist = 0; | |
1366 | if (givenUnits) hist = new TH1F("integratedHisto","Integrated Histogram; Given x; Fraction of included data", kbins, kbinLow, kbinUp); | |
1367 | if (!givenUnits) hist = new TH1F("integratedHisto","Integrated Histogram; Multiples of #sigma; Fraction of included data", kbins, kbinLow, kbinUp); | |
1368 | hist->SetDirectory(0); | |
1369 | hist->Reset(); | |
1370 | ||
1371 | // calculate normalization | |
1372 | // printf("calculating normalization, integrating from bin 1 to %i \n", n); | |
1373 | Double_t normalization = 0; | |
1374 | for (Int_t i = 1; i <= n; i++) { | |
1375 | normalization += array[i]; | |
1376 | } | |
1377 | // printf("normalization: %f \n", normalization); | |
1378 | ||
1379 | // given units: units from given histogram | |
1380 | // sigma units: in units of sigma | |
1381 | // iDelta: integrate in interval (mean +- iDelta), given units | |
1382 | // x: ofset from mean for integration, given units | |
1383 | // hist: needs | |
1384 | ||
1385 | // fill histogram | |
1386 | for (Float_t iDelta = mean - sigmaMax * sigma; iDelta <= mean + sigmaMax * sigma; iDelta += sigmaStep) { | |
1387 | // integrate array | |
1388 | Double_t value = 0; | |
1389 | for (Float_t x = mean - sigmaMax * sigma; x <= iDelta; x += binWidth) { | |
1390 | value += (x <= binUp && x >= binLow) ? array[GetBin(x, nbins, binLow, binUp)] : 0; | |
1391 | } | |
1392 | if (value / normalization > 100) printf("+++ Error, value to big: %f, normalization with %f will fail +++ \n", value, normalization); | |
1393 | if (value / normalization > 100) return hist; | |
1394 | Int_t bin = GetBin(iDelta/sigma, kbins, kbinLow, kbinUp); | |
1395 | // printf("first integration bin: %i, last integration bin: %i \n", GetBin(mean - sigmaMax * sigma, nbins, binLow, binUp), GetBin(iDelta, nbins, binLow, binUp)); | |
1396 | // printf("value: %f, normalization: %f, normalized value: %f, iDelta: %f, Bin: %i \n", value, normalization, value/normalization, iDelta, bin); | |
1397 | value = (value / normalization); | |
1398 | hist->SetBinContent(bin, value); | |
1399 | } | |
1400 | return hist; | |
1401 | } | |
1402 | ||
1403 | ||
1404 | ||
1405 | ||
1406 | ||
1407 | //////////////////////// | |
1408 | // end of Array tools // | |
1409 | //////////////////////// | |
1410 | ||
1411 | ||
1412 | ||
39bcd65d | 1413 | //_____________________________________________________________________________ |
1414 | AliTPCCalPad* AliTPCCalibViewer::GetCalPad(const char* desiredData, char* cuts, char* calPadName) const { | |
1415 | // | |
1416 | // creates a AliTPCCalPad out of the 'desiredData' | |
1417 | // the functionality of EasyDraw1D is used | |
1418 | // calPadName specifies the name of the created AliTPCCalPad | |
1419 | // - this takes a while - | |
1420 | // | |
1421 | TString drawStr(desiredData); | |
832bb12c | 1422 | drawStr.Append(":channel"); |
1423 | drawStr.Append(fAbbreviation); | |
39bcd65d | 1424 | AliTPCCalPad * createdCalPad = new AliTPCCalPad(calPadName, calPadName); |
1425 | Int_t entries = 0; | |
1426 | for (Int_t sec = 0; sec < 72; sec++) { | |
1427 | entries = EasyDraw1D(drawStr.Data(), (Int_t)sec, cuts, "goff"); | |
a6d2bd0c | 1428 | if (entries == -1) return 0; |
39bcd65d | 1429 | for (Int_t i = 0; i < entries; i++) |
1430 | createdCalPad->GetCalROC(sec)->SetValue((UInt_t)(fTree->GetV2()[i]), (Float_t)(fTree->GetV1()[i])); | |
1431 | } | |
1432 | return createdCalPad; | |
1433 | } | |
1434 | ||
1435 | //_____________________________________________________________________________ | |
1436 | AliTPCCalROC* AliTPCCalibViewer::GetCalROC(const char* desiredData, UInt_t sector, char* cuts) const { | |
1437 | // | |
1438 | // creates a AliTPCCalROC out of the desiredData | |
1439 | // the functionality of EasyDraw1D is used | |
1440 | // sector specifies the sector of the created AliTPCCalROC | |
1441 | // | |
1442 | TString drawStr(desiredData); | |
08eef367 | 1443 | drawStr.Append(Form(":channel%s", fAbbreviation.Data())); |
39bcd65d | 1444 | Int_t entries = EasyDraw1D(drawStr.Data(), (Int_t)sector, cuts, "goff"); |
a6d2bd0c | 1445 | if (entries == -1) return 0; |
39bcd65d | 1446 | AliTPCCalROC * createdROC = new AliTPCCalROC(sector); |
1447 | for (Int_t i = 0; i < entries; i++) | |
1448 | createdROC->SetValue((UInt_t)(fTree->GetV2()[i]), fTree->GetV1()[i]); | |
1449 | return createdROC; | |
1450 | } | |
1451 | ||
1452 | ||
1453 | TObjArray* AliTPCCalibViewer::GetListOfVariables(Bool_t printList) { | |
1454 | // | |
1455 | // scan the tree - produces a list of available variables in the tree | |
1456 | // printList: print the list to the screen, after the scan is done | |
1457 | // | |
1458 | TObjArray* arr = new TObjArray(); | |
1459 | TObjString* str = 0; | |
1460 | Int_t nentries = fTree->GetListOfBranches()->GetEntries(); | |
1461 | for (Int_t i = 0; i < nentries; i++) { | |
1462 | str = new TObjString(fTree->GetListOfBranches()->At(i)->GetName()); | |
1463 | str->String().ReplaceAll("_Median", ""); | |
1464 | str->String().ReplaceAll("_Mean", ""); | |
1465 | str->String().ReplaceAll("_RMS", ""); | |
1466 | str->String().ReplaceAll("_LTM", ""); | |
1467 | str->String().ReplaceAll("_OutlierCutted", ""); | |
1468 | str->String().ReplaceAll(".", ""); | |
1469 | if (!arr->FindObject(str) && | |
1470 | !(str->String() == "channel" || str->String() == "gx" || str->String() == "gy" || | |
1471 | str->String() == "lx" || str->String() == "ly" || str->String() == "pad" || | |
1472 | str->String() == "row" || str->String() == "rpad" || str->String() == "sector" )) | |
1473 | arr->Add(str); | |
1474 | } | |
832bb12c | 1475 | |
1476 | // loop over all friends (if there are some) and add them to the list | |
1477 | if (fTree->GetListOfFriends()) { | |
1478 | for (Int_t ifriend = 0; ifriend < fTree->GetListOfFriends()->GetEntries(); ifriend++){ | |
1479 | // printf("iterating through friendlist, currently at %i\n", ifriend); | |
1480 | // printf("working with %s\n", fTree->GetListOfFriends()->At(ifriend)->ClassName()); | |
1481 | if (TString(fTree->GetListOfFriends()->At(ifriend)->ClassName()) != "TFriendElement") continue; // no friendElement found | |
1482 | TFriendElement *friendElement = (TFriendElement*)fTree->GetListOfFriends()->At(ifriend); | |
1483 | if (friendElement->GetTree() == 0) continue; // no tree found in friendElement | |
1484 | // printf("friend found \n"); | |
1485 | for (Int_t i = 0; i < friendElement->GetTree()->GetListOfBranches()->GetEntries(); i++) { | |
1486 | // printf("iterating through friendelement entries, currently at %i\n", i); | |
1487 | str = new TObjString(friendElement->GetTree()->GetListOfBranches()->At(i)->GetName()); | |
1488 | str->String().ReplaceAll("_Median", ""); | |
1489 | str->String().ReplaceAll("_Mean", ""); | |
1490 | str->String().ReplaceAll("_RMS", ""); | |
1491 | str->String().ReplaceAll("_LTM", ""); | |
1492 | str->String().ReplaceAll("_OutlierCutted", ""); | |
1493 | str->String().ReplaceAll(".", ""); | |
1494 | if (!(str->String() == "channel" || str->String() == "gx" || str->String() == "gy" || | |
1495 | str->String() == "lx" || str->String() == "ly" || str->String() == "pad" || | |
1496 | str->String() == "row" || str->String() == "rpad" || str->String() == "sector" )){ | |
1497 | // insert "<friendName>." at the beginning: (<friendName> is per default "R") | |
1498 | str->String().Insert(0, "."); | |
1499 | str->String().Insert(0, friendElement->GetName()); | |
1500 | if (!arr->FindObject(str)) arr->Add(str); | |
1501 | // printf("added string %s \n", str->String().Data()); | |
1502 | } | |
1503 | } | |
1504 | } | |
1505 | } // if (fTree->GetListOfFriends()) | |
1506 | ||
39bcd65d | 1507 | arr->Sort(); |
832bb12c | 1508 | // ((TFriendElement*)gui->GetViewer()->GetTree()->GetListOfFriends()->At(0))->GetTree()->GetListOfBranches()->At(0)->GetName() |
1509 | // ((TFriendElement*)gui->GetViewer()->GetTree()->GetListOfFriends()->At(0))->GetTree()->GetListOfBranches() | |
1510 | ||
39bcd65d | 1511 | |
1512 | if (printList) { | |
1513 | TIterator* iter = arr->MakeIterator(); | |
1514 | iter->Reset(); | |
1515 | TObjString* currentStr = 0; | |
1516 | while ( (currentStr = (TObjString*)(iter->Next())) ) { | |
1517 | std::cout << currentStr->GetString().Data() << std::endl; | |
1518 | } | |
1519 | delete iter; | |
1520 | } | |
1521 | return arr; | |
1522 | } | |
1523 | ||
1524 | ||
72d0ab7e | 1525 | TObjArray* AliTPCCalibViewer::GetListOfNormalizationVariables(Bool_t printList) const{ |
39bcd65d | 1526 | // |
1527 | // produces a list of available variables for normalization in the tree | |
1528 | // printList: print the list to the screen, after the scan is done | |
1529 | // | |
1530 | TObjArray* arr = new TObjArray(); | |
1531 | arr->Add(new TObjString("_Mean")); | |
1532 | arr->Add(new TObjString("_Mean_OutlierCutted")); | |
1533 | arr->Add(new TObjString("_Median")); | |
1534 | arr->Add(new TObjString("_Median_OutlierCutted")); | |
1535 | arr->Add(new TObjString("_LTM")); | |
1536 | arr->Add(new TObjString("_LTM_OutlierCutted")); | |
832bb12c | 1537 | arr->Add(new TObjString(Form("LFitIntern_4_8%s", fAppendString.Data()))); |
1538 | arr->Add(new TObjString(Form("GFitIntern_Lin%s", fAppendString.Data()))); | |
1539 | arr->Add(new TObjString(Form("GFitIntern_Par%s", fAppendString.Data()))); | |
a6d2bd0c | 1540 | arr->Add(new TObjString("FitLinLocal")); |
1541 | arr->Add(new TObjString("FitLinGlobal")); | |
72d0ab7e | 1542 | arr->Add(new TObjString("FitParLocal")); |
1543 | arr->Add(new TObjString("FitParGlobal")); | |
39bcd65d | 1544 | |
1545 | if (printList) { | |
1546 | TIterator* iter = arr->MakeIterator(); | |
1547 | iter->Reset(); | |
1548 | TObjString* currentStr = 0; | |
1549 | while ((currentStr = (TObjString*)(iter->Next()))) { | |
1550 | std::cout << currentStr->GetString().Data() << std::endl; | |
1551 | } | |
1552 | delete iter; | |
1553 | } | |
1554 | return arr; | |
1555 | } | |
1556 | ||
1557 | ||
1558 | TFriendElement* AliTPCCalibViewer::AddReferenceTree(const char* filename, const char* treename, const char* refname){ | |
1559 | // | |
1560 | // add a reference tree to the current tree | |
1561 | // by default the treename is 'calPads' and the reference treename is 'R' | |
1562 | // | |
1563 | TFile *file = new TFile(filename); | |
1564 | fListOfObjectsToBeDeleted->Add(file); | |
1565 | TTree * tree = (TTree*)file->Get(treename); | |
1566 | return AddFriend(tree, refname); | |
1567 | } | |
1568 | ||
1569 | ||
1570 | TObjArray* AliTPCCalibViewer::GetArrayOfCalPads(){ | |
1571 | // | |
1572 | // Returns a TObjArray with all AliTPCCalPads that are stored in the tree | |
1573 | // - this takes a while - | |
1574 | // | |
1575 | TObjArray *listOfCalPads = GetListOfVariables(); | |
1576 | TObjArray *calPadsArray = new TObjArray(); | |
1577 | Int_t numberOfCalPads = listOfCalPads->GetEntries(); | |
1578 | for (Int_t i = 0; i < numberOfCalPads; i++) { | |
832bb12c | 1579 | std::cout << "Creating calPad " << (i+1) << " of " << numberOfCalPads << "\r" << std::flush; |
39bcd65d | 1580 | char* calPadName = (char*)((TObjString*)(listOfCalPads->At(i)))->GetString().Data(); |
1581 | TString drawCommand = ((TObjString*)(listOfCalPads->At(i)))->GetString(); | |
832bb12c | 1582 | drawCommand.Append(fAbbreviation.Data()); |
39bcd65d | 1583 | AliTPCCalPad* calPad = GetCalPad(drawCommand.Data(), "", calPadName); |
1584 | calPadsArray->Add(calPad); | |
1585 | } | |
1586 | std::cout << std::endl; | |
1587 | listOfCalPads->Delete(); | |
1588 | delete listOfCalPads; | |
1589 | return calPadsArray; | |
1590 | } | |
1591 | ||
1592 | ||
a6d2bd0c | 1593 | TString* AliTPCCalibViewer::Fit(const char* drawCommand, const char* formula, const char* cuts, Double_t & chi2, TVectorD &fitParam, TMatrixD &covMatrix){ |
1594 | // | |
1595 | // fit an arbitrary function, specified by formula into the data, specified by drawCommand and cuts | |
1596 | // returns chi2, fitParam and covMatrix | |
1597 | // returns TString with fitted formula | |
1598 | // | |
1599 | ||
1600 | TString formulaStr(formula); | |
1601 | TString drawStr(drawCommand); | |
1602 | TString cutStr(cuts); | |
1603 | ||
1604 | // abbreviations: | |
832bb12c | 1605 | drawStr.ReplaceAll(fAbbreviation, fAppendString); |
1606 | cutStr.ReplaceAll(fAbbreviation, fAppendString); | |
1607 | formulaStr.ReplaceAll(fAbbreviation, fAppendString); | |
a6d2bd0c | 1608 | |
832bb12c | 1609 | formulaStr.ReplaceAll("++", fAbbreviation); |
1610 | TObjArray* formulaTokens = formulaStr.Tokenize(fAbbreviation.Data()); | |
a6d2bd0c | 1611 | Int_t dim = formulaTokens->GetEntriesFast(); |
1612 | ||
1613 | fitParam.ResizeTo(dim); | |
1614 | covMatrix.ResizeTo(dim,dim); | |
1615 | ||
1616 | TLinearFitter* fitter = new TLinearFitter(dim+1, Form("hyp%d",dim)); | |
1617 | fitter->StoreData(kTRUE); | |
1618 | fitter->ClearPoints(); | |
1619 | ||
1620 | Int_t entries = Draw(drawStr.Data(), cutStr.Data(), "goff"); | |
1621 | if (entries == -1) return new TString("An ERROR has occured during fitting!"); | |
1622 | Double_t **values = new Double_t*[dim+1] ; | |
1623 | ||
1624 | for (Int_t i = 0; i < dim + 1; i++){ | |
1625 | Int_t centries = 0; | |
1626 | if (i < dim) centries = fTree->Draw(((TObjString*)formulaTokens->At(i))->GetName(), cutStr.Data(), "goff"); | |
1627 | else centries = fTree->Draw(drawStr.Data(), cutStr.Data(), "goff"); | |
1628 | ||
1629 | if (entries != centries) return new TString("An ERROR has occured during fitting!"); | |
1630 | values[i] = new Double_t[entries]; | |
1631 | memcpy(values[i], fTree->GetV1(), entries*sizeof(Double_t)); | |
1632 | } | |
1633 | ||
1634 | // add points to the fitter | |
1635 | for (Int_t i = 0; i < entries; i++){ | |
1636 | Double_t x[1000]; | |
1637 | for (Int_t j=0; j<dim;j++) x[j]=values[j][i]; | |
1638 | fitter->AddPoint(x, values[dim][i], 1); | |
1639 | } | |
1640 | ||
1641 | fitter->Eval(); | |
1642 | fitter->GetParameters(fitParam); | |
1643 | fitter->GetCovarianceMatrix(covMatrix); | |
1644 | chi2 = fitter->GetChisquare(); | |
1645 | chi2 = chi2; | |
1646 | ||
1647 | TString *preturnFormula = new TString(Form("( %f+",fitParam[0])), &returnFormula = *preturnFormula; | |
1648 | ||
1649 | for (Int_t iparam = 0; iparam < dim; iparam++) { | |
1650 | returnFormula.Append(Form("%s*(%f)",((TObjString*)formulaTokens->At(iparam))->GetName(),fitParam[iparam+1])); | |
1651 | if (iparam < dim-1) returnFormula.Append("+"); | |
1652 | } | |
1653 | returnFormula.Append(" )"); | |
1654 | delete formulaTokens; | |
1655 | delete fitter; | |
1656 | delete[] values; | |
1657 | return preturnFormula; | |
1658 | } | |
1659 | ||
1660 | ||
39bcd65d | 1661 | void AliTPCCalibViewer::MakeTreeWithObjects(const char * fileName, TObjArray * array, const char * mapFileName) { |
1662 | // | |
1663 | // Write tree with all available information | |
1664 | // im mapFileName is speciefied, the Map information are also written to the tree | |
1665 | // AliTPCCalPad-Objects are written directly to the tree, so that they can be accessd later on | |
1666 | // (does not work!!!) | |
1667 | // | |
1668 | AliTPCROC* tpcROCinstance = AliTPCROC::Instance(); | |
1669 | ||
1670 | TObjArray* mapIROCs = 0; | |
1671 | TObjArray* mapOROCs = 0; | |
1672 | TVectorF *mapIROCArray = 0; | |
1673 | TVectorF *mapOROCArray = 0; | |
1674 | Int_t mapEntries = 0; | |
1675 | TString* mapNames = 0; | |
1676 | ||
1677 | if (mapFileName) { | |
1678 | TFile mapFile(mapFileName, "read"); | |
1679 | ||
1680 | TList* listOfROCs = mapFile.GetListOfKeys(); | |
1681 | mapEntries = listOfROCs->GetEntries()/2; | |
1682 | mapIROCs = new TObjArray(mapEntries*2); | |
1683 | mapOROCs = new TObjArray(mapEntries*2); | |
1684 | mapIROCArray = new TVectorF[mapEntries]; | |
1685 | mapOROCArray = new TVectorF[mapEntries]; | |
1686 | ||
1687 | mapNames = new TString[mapEntries]; | |
1688 | for (Int_t ivalue = 0; ivalue < mapEntries; ivalue++) { | |
72d0ab7e | 1689 | TString rocName(((TKey*)(listOfROCs->At(ivalue*2)))->GetName()); |
1690 | rocName.Remove(rocName.Length()-4, 4); | |
1691 | mapIROCs->AddAt((AliTPCCalROC*)mapFile.Get((rocName + "IROC").Data()), ivalue); | |
1692 | mapOROCs->AddAt((AliTPCCalROC*)mapFile.Get((rocName + "OROC").Data()), ivalue); | |
1693 | mapNames[ivalue].Append(rocName); | |
39bcd65d | 1694 | } |
1695 | ||
1696 | for (Int_t ivalue = 0; ivalue < mapEntries; ivalue++) { | |
1697 | mapIROCArray[ivalue].ResizeTo(tpcROCinstance->GetNChannels(0)); | |
1698 | mapOROCArray[ivalue].ResizeTo(tpcROCinstance->GetNChannels(36)); | |
1699 | ||
1700 | for (UInt_t ichannel = 0; ichannel < tpcROCinstance->GetNChannels(0); ichannel++) | |
1701 | (mapIROCArray[ivalue])[ichannel] = ((AliTPCCalROC*)(mapIROCs->At(ivalue)))->GetValue(ichannel); | |
1702 | for (UInt_t ichannel = 0; ichannel < tpcROCinstance->GetNChannels(36); ichannel++) | |
1703 | (mapOROCArray[ivalue])[ichannel] = ((AliTPCCalROC*)(mapOROCs->At(ivalue)))->GetValue(ichannel); | |
1704 | } | |
1705 | ||
1706 | } // if (mapFileName) | |
1707 | ||
1708 | TTreeSRedirector cstream(fileName); | |
1709 | Int_t arrayEntries = array->GetEntries(); | |
1710 | ||
1711 | // Read names of AliTPCCalPads and save them in names[] | |
1712 | TString* names = new TString[arrayEntries]; | |
1713 | for (Int_t ivalue = 0; ivalue < arrayEntries; ivalue++) | |
1714 | names[ivalue].Append(((AliTPCCalPad*)array->At(ivalue))->GetName()); | |
1715 | ||
1716 | for (UInt_t isector = 0; isector < tpcROCinstance->GetNSectors(); isector++) { | |
1717 | ||
1718 | TVectorF *vectorArray = new TVectorF[arrayEntries]; | |
1719 | for (Int_t ivalue = 0; ivalue < arrayEntries; ivalue++) | |
1720 | vectorArray[ivalue].ResizeTo(tpcROCinstance->GetNChannels(isector)); | |
1721 | ||
1722 | ||
1723 | // | |
1724 | // fill vectors of variable per pad | |
1725 | // | |
1726 | TVectorF *posArray = new TVectorF[8]; | |
1727 | for (Int_t ivalue = 0; ivalue < 8; ivalue++) | |
1728 | posArray[ivalue].ResizeTo(tpcROCinstance->GetNChannels(isector)); | |
1729 | ||
1730 | Float_t posG[3] = {0}; | |
1731 | Float_t posL[3] = {0}; | |
1732 | Int_t ichannel = 0; | |
1733 | for (UInt_t irow = 0; irow < tpcROCinstance->GetNRows(isector); irow++) { | |
1734 | for (UInt_t ipad = 0; ipad < tpcROCinstance->GetNPads(isector, irow); ipad++) { | |
1735 | tpcROCinstance->GetPositionLocal(isector, irow, ipad, posL); | |
1736 | tpcROCinstance->GetPositionGlobal(isector, irow, ipad, posG); | |
1737 | posArray[0][ichannel] = irow; | |
1738 | posArray[1][ichannel] = ipad; | |
1739 | posArray[2][ichannel] = posL[0]; | |
1740 | posArray[3][ichannel] = posL[1]; | |
1741 | posArray[4][ichannel] = posG[0]; | |
1742 | posArray[5][ichannel] = posG[1]; | |
1743 | posArray[6][ichannel] = (Int_t)(ipad - (Double_t)(tpcROCinstance->GetNPads(isector, irow))/2); | |
1744 | posArray[7][ichannel] = ichannel; | |
1745 | ||
1746 | // loop over array containing AliTPCCalPads | |
1747 | for (Int_t ivalue = 0; ivalue < arrayEntries; ivalue++) { | |
1748 | AliTPCCalPad* calPad = (AliTPCCalPad*) array->At(ivalue); | |
1749 | AliTPCCalROC* calROC = calPad->GetCalROC(isector); | |
1750 | if (calROC) | |
1751 | (vectorArray[ivalue])[ichannel] = calROC->GetValue(irow, ipad); | |
1752 | else | |
1753 | (vectorArray[ivalue])[ichannel] = 0; | |
1754 | } | |
1755 | ichannel++; | |
1756 | } | |
1757 | } | |
1758 | AliTPCCalROC dummyROC(0); | |
1759 | for (Int_t ivalue = 0; ivalue < arrayEntries; ivalue++) { | |
1760 | AliTPCCalROC *roc = ((AliTPCCalPad*)array->At(ivalue))->GetCalROC(isector); | |
1761 | if (!roc) roc = &dummyROC; | |
1762 | cstream << "calPads" << | |
1763 | (Char_t*)((names[ivalue] + ".=").Data()) << &vectorArray[ivalue]; | |
1764 | cstream << "calPads" << | |
1765 | (Char_t*)((names[ivalue] + "Pad.=").Data()) << roc; | |
1766 | } | |
1767 | ||
1768 | if (mapFileName) { | |
1769 | for (Int_t ivalue = 0; ivalue < mapEntries; ivalue++) { | |
1770 | if (isector < 36) | |
1771 | cstream << "calPads" << | |
1772 | (Char_t*)((mapNames[ivalue] + ".=").Data()) << &mapIROCArray[ivalue]; | |
1773 | else | |
1774 | cstream << "calPads" << | |
1775 | (Char_t*)((mapNames[ivalue] + ".=").Data()) << &mapOROCArray[ivalue]; | |
1776 | } | |
1777 | } | |
1778 | ||
1779 | cstream << "calPads" << | |
1780 | "sector=" << isector; | |
1781 | ||
1782 | cstream << "calPads" << | |
1783 | "row.=" << &posArray[0] << | |
1784 | "pad.=" << &posArray[1] << | |
1785 | "lx.=" << &posArray[2] << | |
1786 | "ly.=" << &posArray[3] << | |
1787 | "gx.=" << &posArray[4] << | |
1788 | "gy.=" << &posArray[5] << | |
1789 | "rpad.=" << &posArray[6] << | |
1790 | "channel.=" << &posArray[7]; | |
1791 | ||
1792 | cstream << "calPads" << | |
1793 | "\n"; | |
1794 | ||
1795 | delete[] posArray; | |
1796 | delete[] vectorArray; | |
1797 | } //for (UInt_t isector = 0; isector < tpcROCinstance->GetNSectors(); isector++) | |
1798 | ||
1799 | delete[] names; | |
1800 | if (mapFileName) { | |
1801 | delete mapIROCs; | |
1802 | delete mapOROCs; | |
1803 | delete[] mapIROCArray; | |
1804 | delete[] mapOROCArray; | |
1805 | delete[] mapNames; | |
1806 | } | |
1807 | } | |
1808 | ||
72d0ab7e | 1809 | |
39bcd65d | 1810 | void AliTPCCalibViewer::MakeTree(const char * fileName, TObjArray * array, const char * mapFileName, AliTPCCalPad* outlierPad, Float_t ltmFraction) { |
1811 | // | |
1812 | // Write a tree with all available information | |
72d0ab7e | 1813 | // if mapFileName is speciefied, the Map information are also written to the tree |
39bcd65d | 1814 | // pads specified in outlierPad are not used for calculating statistics |
72d0ab7e | 1815 | // The following statistical information on the basis of a ROC are calculated: |
1816 | // "_Median", "_Mean", "_LTM", "_RMS_LTM" | |
1817 | // "_Median_OutlierCutted", "_Mean_OutlierCutted", "_RMS_OutlierCutted", "_LTM_OutlierCutted", "_RMS_LTM_OutlierCutted" | |
1818 | // The following position variables are available: | |
1819 | // "row", "pad", "lx", "ly", "gx", "gy", "rpad", "channel" | |
1820 | // | |
1821 | // The tree out of this function is the basis for the AliTPCCalibViewer and the AliTPCCalibViewerGUI. | |
1822 | ||
39bcd65d | 1823 | AliTPCROC* tpcROCinstance = AliTPCROC::Instance(); |
1824 | ||
1825 | TObjArray* mapIROCs = 0; | |
1826 | TObjArray* mapOROCs = 0; | |
1827 | TVectorF *mapIROCArray = 0; | |
1828 | TVectorF *mapOROCArray = 0; | |
1829 | Int_t mapEntries = 0; | |
1830 | TString* mapNames = 0; | |
1831 | ||
1832 | if (mapFileName) { | |
1833 | TFile mapFile(mapFileName, "read"); | |
1834 | ||
1835 | TList* listOfROCs = mapFile.GetListOfKeys(); | |
1836 | mapEntries = listOfROCs->GetEntries()/2; | |
1837 | mapIROCs = new TObjArray(mapEntries*2); | |
1838 | mapOROCs = new TObjArray(mapEntries*2); | |
1839 | mapIROCArray = new TVectorF[mapEntries]; | |
1840 | mapOROCArray = new TVectorF[mapEntries]; | |
1841 | ||
1842 | mapNames = new TString[mapEntries]; | |
1843 | for (Int_t ivalue = 0; ivalue < mapEntries; ivalue++) { | |
72d0ab7e | 1844 | TString rocName(((TKey*)(listOfROCs->At(ivalue*2)))->GetName()); |
1845 | rocName.Remove(rocName.Length()-4, 4); | |
1846 | mapIROCs->AddAt((AliTPCCalROC*)mapFile.Get((rocName + "IROC").Data()), ivalue); | |
1847 | mapOROCs->AddAt((AliTPCCalROC*)mapFile.Get((rocName + "OROC").Data()), ivalue); | |
1848 | mapNames[ivalue].Append(rocName); | |
39bcd65d | 1849 | } |
1850 | ||
1851 | for (Int_t ivalue = 0; ivalue < mapEntries; ivalue++) { | |
1852 | mapIROCArray[ivalue].ResizeTo(tpcROCinstance->GetNChannels(0)); | |
1853 | mapOROCArray[ivalue].ResizeTo(tpcROCinstance->GetNChannels(36)); | |
1854 | ||
1855 | for (UInt_t ichannel = 0; ichannel < tpcROCinstance->GetNChannels(0); ichannel++) | |
1856 | (mapIROCArray[ivalue])[ichannel] = ((AliTPCCalROC*)(mapIROCs->At(ivalue)))->GetValue(ichannel); | |
1857 | for (UInt_t ichannel = 0; ichannel < tpcROCinstance->GetNChannels(36); ichannel++) | |
1858 | (mapOROCArray[ivalue])[ichannel] = ((AliTPCCalROC*)(mapOROCs->At(ivalue)))->GetValue(ichannel); | |
1859 | } | |
1860 | ||
1861 | } // if (mapFileName) | |
1862 | ||
1863 | TTreeSRedirector cstream(fileName); | |
72d0ab7e | 1864 | Int_t arrayEntries = 0; |
1865 | if (array) arrayEntries = array->GetEntries(); | |
39bcd65d | 1866 | |
1867 | TString* names = new TString[arrayEntries]; | |
1868 | for (Int_t ivalue = 0; ivalue < arrayEntries; ivalue++) | |
1869 | names[ivalue].Append(((AliTPCCalPad*)array->At(ivalue))->GetName()); | |
1870 | ||
1871 | for (UInt_t isector = 0; isector < tpcROCinstance->GetNSectors(); isector++) { | |
1872 | // | |
1873 | // get statistic for given sector | |
1874 | // | |
1875 | TVectorF median(arrayEntries); | |
1876 | TVectorF mean(arrayEntries); | |
1877 | TVectorF rms(arrayEntries); | |
1878 | TVectorF ltm(arrayEntries); | |
1879 | TVectorF ltmrms(arrayEntries); | |
1880 | TVectorF medianWithOut(arrayEntries); | |
1881 | TVectorF meanWithOut(arrayEntries); | |
1882 | TVectorF rmsWithOut(arrayEntries); | |
1883 | TVectorF ltmWithOut(arrayEntries); | |
1884 | TVectorF ltmrmsWithOut(arrayEntries); | |
1885 | ||
1886 | TVectorF *vectorArray = new TVectorF[arrayEntries]; | |
1887 | for (Int_t ivalue = 0; ivalue < arrayEntries; ivalue++) | |
1888 | vectorArray[ivalue].ResizeTo(tpcROCinstance->GetNChannels(isector)); | |
1889 | ||
1890 | for (Int_t ivalue = 0; ivalue < arrayEntries; ivalue++) { | |
1891 | AliTPCCalPad* calPad = (AliTPCCalPad*) array->At(ivalue); | |
1892 | AliTPCCalROC* calROC = calPad->GetCalROC(isector); | |
1893 | AliTPCCalROC* outlierROC = 0; | |
1894 | if (outlierPad) outlierROC = outlierPad->GetCalROC(isector); | |
1895 | if (calROC) { | |
1896 | median[ivalue] = calROC->GetMedian(); | |
1897 | mean[ivalue] = calROC->GetMean(); | |
1898 | rms[ivalue] = calROC->GetRMS(); | |
1899 | Double_t ltmrmsValue = 0; | |
1900 | ltm[ivalue] = calROC->GetLTM(<mrmsValue, ltmFraction); | |
1901 | ltmrms[ivalue] = ltmrmsValue; | |
1902 | if (outlierROC) { | |
1903 | medianWithOut[ivalue] = calROC->GetMedian(outlierROC); | |
1904 | meanWithOut[ivalue] = calROC->GetMean(outlierROC); | |
1905 | rmsWithOut[ivalue] = calROC->GetRMS(outlierROC); | |
1906 | ltmrmsValue = 0; | |
1907 | ltmWithOut[ivalue] = calROC->GetLTM(<mrmsValue, ltmFraction, outlierROC); | |
1908 | ltmrmsWithOut[ivalue] = ltmrmsValue; | |
1909 | } | |
1910 | } | |
1911 | else { | |
1912 | median[ivalue] = 0.; | |
1913 | mean[ivalue] = 0.; | |
1914 | rms[ivalue] = 0.; | |
1915 | ltm[ivalue] = 0.; | |
1916 | ltmrms[ivalue] = 0.; | |
1917 | medianWithOut[ivalue] = 0.; | |
1918 | meanWithOut[ivalue] = 0.; | |
1919 | rmsWithOut[ivalue] = 0.; | |
1920 | ltmWithOut[ivalue] = 0.; | |
1921 | ltmrmsWithOut[ivalue] = 0.; | |
1922 | } | |
1923 | } | |
1924 | ||
1925 | // | |
1926 | // fill vectors of variable per pad | |
1927 | // | |
1928 | TVectorF *posArray = new TVectorF[8]; | |
1929 | for (Int_t ivalue = 0; ivalue < 8; ivalue++) | |
1930 | posArray[ivalue].ResizeTo(tpcROCinstance->GetNChannels(isector)); | |
1931 | ||
1932 | Float_t posG[3] = {0}; | |
1933 | Float_t posL[3] = {0}; | |
1934 | Int_t ichannel = 0; | |
1935 | for (UInt_t irow = 0; irow < tpcROCinstance->GetNRows(isector); irow++) { | |
1936 | for (UInt_t ipad = 0; ipad < tpcROCinstance->GetNPads(isector, irow); ipad++) { | |
1937 | tpcROCinstance->GetPositionLocal(isector, irow, ipad, posL); | |
1938 | tpcROCinstance->GetPositionGlobal(isector, irow, ipad, posG); | |
1939 | posArray[0][ichannel] = irow; | |
1940 | posArray[1][ichannel] = ipad; | |
1941 | posArray[2][ichannel] = posL[0]; | |
1942 | posArray[3][ichannel] = posL[1]; | |
1943 | posArray[4][ichannel] = posG[0]; | |
1944 | posArray[5][ichannel] = posG[1]; | |
1945 | posArray[6][ichannel] = (Int_t)(ipad - (Double_t)(tpcROCinstance->GetNPads(isector, irow))/2); | |
1946 | posArray[7][ichannel] = ichannel; | |
1947 | ||
1948 | // loop over array containing AliTPCCalPads | |
1949 | for (Int_t ivalue = 0; ivalue < arrayEntries; ivalue++) { | |
1950 | AliTPCCalPad* calPad = (AliTPCCalPad*) array->At(ivalue); | |
1951 | AliTPCCalROC* calROC = calPad->GetCalROC(isector); | |
1952 | if (calROC) | |
1953 | (vectorArray[ivalue])[ichannel] = calROC->GetValue(irow, ipad); | |
1954 | else | |
1955 | (vectorArray[ivalue])[ichannel] = 0; | |
1956 | } | |
1957 | ichannel++; | |
1958 | } | |
1959 | } | |
1960 | ||
1961 | cstream << "calPads" << | |
1962 | "sector=" << isector; | |
1963 | ||
1964 | for (Int_t ivalue = 0; ivalue < arrayEntries; ivalue++) { | |
1965 | cstream << "calPads" << | |
1966 | (Char_t*)((names[ivalue] + "_Median=").Data()) << median[ivalue] << | |
1967 | (Char_t*)((names[ivalue] + "_Mean=").Data()) << mean[ivalue] << | |
1968 | (Char_t*)((names[ivalue] + "_RMS=").Data()) << rms[ivalue] << | |
1969 | (Char_t*)((names[ivalue] + "_LTM=").Data()) << ltm[ivalue] << | |
1970 | (Char_t*)((names[ivalue] + "_RMS_LTM=").Data()) << ltmrms[ivalue]; | |
1971 | if (outlierPad) { | |
1972 | cstream << "calPads" << | |
1973 | (Char_t*)((names[ivalue] + "_Median_OutlierCutted=").Data()) << medianWithOut[ivalue] << | |
1974 | (Char_t*)((names[ivalue] + "_Mean_OutlierCutted=").Data()) << meanWithOut[ivalue] << | |
1975 | (Char_t*)((names[ivalue] + "_RMS_OutlierCutted=").Data()) << rmsWithOut[ivalue] << | |
1976 | (Char_t*)((names[ivalue] + "_LTM_OutlierCutted=").Data()) << ltmWithOut[ivalue] << | |
1977 | (Char_t*)((names[ivalue] + "_RMS_LTM_OutlierCutted=").Data()) << ltmrmsWithOut[ivalue]; | |
1978 | } | |
1979 | } | |
1980 | ||
1981 | for (Int_t ivalue = 0; ivalue < arrayEntries; ivalue++) { | |
1982 | cstream << "calPads" << | |
1983 | (Char_t*)((names[ivalue] + ".=").Data()) << &vectorArray[ivalue]; | |
1984 | } | |
1985 | ||
1986 | if (mapFileName) { | |
1987 | for (Int_t ivalue = 0; ivalue < mapEntries; ivalue++) { | |
1988 | if (isector < 36) | |
1989 | cstream << "calPads" << | |
1990 | (Char_t*)((mapNames[ivalue] + ".=").Data()) << &mapIROCArray[ivalue]; | |
1991 | else | |
1992 | cstream << "calPads" << | |
1993 | (Char_t*)((mapNames[ivalue] + ".=").Data()) << &mapOROCArray[ivalue]; | |
1994 | } | |
1995 | } | |
1996 | ||
1997 | cstream << "calPads" << | |
1998 | "row.=" << &posArray[0] << | |
1999 | "pad.=" << &posArray[1] << | |
2000 | "lx.=" << &posArray[2] << | |
2001 | "ly.=" << &posArray[3] << | |
2002 | "gx.=" << &posArray[4] << | |
2003 | "gy.=" << &posArray[5] << | |
2004 | "rpad.=" << &posArray[6] << | |
2005 | "channel.=" << &posArray[7]; | |
2006 | ||
2007 | cstream << "calPads" << | |
2008 | "\n"; | |
2009 | ||
2010 | delete[] posArray; | |
2011 | delete[] vectorArray; | |
2012 | } | |
2013 | ||
2014 | ||
2015 | delete[] names; | |
2016 | if (mapFileName) { | |
2017 | delete mapIROCs; | |
2018 | delete mapOROCs; | |
2019 | delete[] mapIROCArray; | |
2020 | delete[] mapOROCArray; | |
2021 | delete[] mapNames; | |
2022 | } | |
2023 | } | |
2024 | ||
4f3934a1 | 2025 | |
2026 | void AliTPCCalibViewer::MakeTree(const char *outPutFileName, const Char_t *inputFileName, AliTPCCalPad *outlierPad, Float_t ltmFraction, const char *mapFileName ){ | |
2027 | // | |
2028 | // Function to create a calibration Tree with all available information. | |
2029 | // See also documentation to MakeTree | |
2030 | // the file "inputFileName" must be in the following format (see also CreateObjectList): | |
2031 | // (each colum separated by tabs, "dependingOnType" can have 2 or 3 colums) | |
2032 | // | |
2033 | // type path dependingOnType | |
2034 | // | |
2035 | // type == "CE": | |
2036 | // dependingOnType = CETmean CEQmean CETrms | |
2037 | // | |
2038 | // type == "Pulser": | |
2039 | // dependingOnType = PulserTmean PulsterQmean PulserTrms | |
2040 | // | |
2041 | // type == "Pedestals": | |
2042 | // dependingOnType = Pedestals Noise | |
2043 | // | |
2044 | // type == "CalPad": | |
2045 | // dependingOnType = NameInFile NameToWriteToFile | |
2046 | // | |
2047 | // | |
2048 | TObjArray objArray; | |
2049 | CreateObjectList(inputFileName, &objArray); | |
2050 | MakeTree(outPutFileName, &objArray, mapFileName, outlierPad, ltmFraction); | |
2051 | } | |
2052 | ||
832bb12c | 2053 | |
4f3934a1 | 2054 | void AliTPCCalibViewer::CreateObjectList(const Char_t *filename, TObjArray *calibObjects){ |
2055 | // | |
2056 | // Function to create a TObjArray out of a given file | |
2057 | // the file must be in the following format: | |
2058 | // (each colum separated by tabs, "dependingOnType" can have 2 or 3 colums) | |
2059 | // | |
2060 | // | |
2061 | // type path dependingOnType | |
2062 | // | |
2063 | // type == "CE": | |
2064 | // dependingOnType = CETmean CEQmean CETrms | |
2065 | // | |
2066 | // type == "Pulser": | |
2067 | // dependingOnType = PulserTmean PulsterQmean PulserTrms | |
2068 | // | |
2069 | // type == "Pedestals": | |
2070 | // dependingOnType = Pedestals Noise | |
2071 | // | |
2072 | // type == "CalPad": | |
2073 | // dependingOnType = NameInFile NameToWriteToFile | |
2074 | // | |
2075 | // | |
2076 | // | |
2077 | if ( calibObjects == 0x0 ) return; | |
2078 | ifstream in; | |
2079 | in.open(filename); | |
2080 | if ( !in.is_open() ){ | |
2081 | fprintf(stderr,"Error: cannot open list file '%s'", filename); | |
2082 | return; | |
2083 | } | |
2084 | ||
2085 | AliTPCCalPad *calPad=0x0; | |
2086 | ||
2087 | TString sFile; | |
2088 | sFile.ReadFile(in); | |
2089 | in.close(); | |
2090 | ||
2091 | TObjArray *arrFileLine = sFile.Tokenize("\n"); | |
2092 | TIter nextLine(arrFileLine); | |
2093 | ||
2094 | TObjString *sObjLine = 0x0; | |
2095 | while ( (sObjLine = (TObjString*)nextLine()) ){ | |
2096 | TString sLine(sObjLine->GetString()); | |
2097 | ||
2098 | TObjArray *arrCol = sLine.Tokenize("\t"); | |
2099 | Int_t nCols = arrCol->GetEntriesFast(); | |
2100 | ||
2101 | TObjString *sObjType = (TObjString*)(arrCol->At(0)); | |
2102 | TObjString *sObjFileName = (TObjString*)(arrCol->At(1)); | |
2103 | TObjString *sObjName = 0x0; | |
2104 | ||
2105 | if ( !sObjType || !sObjFileName ) continue; | |
2106 | TString sType(sObjType->GetString()); | |
2107 | TString sFileName(sObjFileName->GetString()); | |
2108 | printf("Type %s, opening %s \n", sType.Data(), sFileName.Data()); | |
2109 | TFile *fIn = TFile::Open(sFileName); | |
2110 | if ( !fIn ){ | |
2111 | fprintf(stderr,"File not found: '%s'", sFileName.Data()); | |
2112 | continue; | |
2113 | } | |
2114 | ||
2115 | if ( sType == "CE" ){ // next three colums are the names for CETmean, CEQmean and CETrms | |
2116 | AliTPCCalibCE *ce = (AliTPCCalibCE*)fIn->Get("AliTPCCalibCE"); | |
2117 | calPad = new AliTPCCalPad((TObjArray*)ce->GetCalPadT0()); | |
2118 | if (nCols > 2) { // check, if the name is provided | |
2119 | sObjName = (TObjString*)(arrCol->At(2)); | |
2120 | calPad->SetNameTitle(sObjName->GetString().Data(), sObjName->GetString().Data()); | |
2121 | } | |
2122 | else calPad->SetNameTitle("CETmean","CETmean"); | |
2123 | calibObjects->Add(calPad); | |
2124 | ||
2125 | calPad = new AliTPCCalPad((TObjArray*)ce->GetCalPadQ()); | |
2126 | if (nCols > 3) { // check, if the name is provided | |
2127 | sObjName = (TObjString*)(arrCol->At(3)); | |
2128 | calPad->SetNameTitle(sObjName->GetString().Data(), sObjName->GetString().Data()); | |
2129 | } | |
2130 | else calPad->SetNameTitle("CEQmean","CEQmean"); | |
2131 | calibObjects->Add(calPad); | |
2132 | ||
2133 | calPad = new AliTPCCalPad((TObjArray*)ce->GetCalPadRMS()); | |
2134 | if (nCols > 4) { // check, if the name is provided | |
2135 | sObjName = (TObjString*)(arrCol->At(4)); | |
2136 | calPad->SetNameTitle(sObjName->GetString().Data(), sObjName->GetString().Data()); | |
2137 | } | |
2138 | else calPad->SetNameTitle("CETrms","CETrms"); | |
2139 | calibObjects->Add(calPad); | |
2140 | ||
2141 | } else if ( sType == "Pulser") { | |
2142 | AliTPCCalibPulser *sig = (AliTPCCalibPulser*)fIn->Get("AliTPCCalibPulser"); | |
2143 | ||
2144 | calPad = new AliTPCCalPad((TObjArray*)sig->GetCalPadT0()); | |
2145 | if (nCols > 2) { | |
2146 | sObjName = (TObjString*)(arrCol->At(2)); | |
2147 | calPad->SetNameTitle(sObjName->GetString().Data(), sObjName->GetString().Data()); | |
2148 | } | |
2149 | else calPad->SetNameTitle("PulserTmean","PulserTmean"); | |
2150 | calibObjects->Add(calPad); | |
2151 | ||
2152 | calPad = new AliTPCCalPad((TObjArray*)sig->GetCalPadQ()); | |
2153 | if (nCols > 3) { | |
2154 | sObjName = (TObjString*)(arrCol->At(3)); | |
2155 | calPad->SetNameTitle(sObjName->GetString().Data(), sObjName->GetString().Data()); | |
2156 | } | |
2157 | else calPad->SetNameTitle("PulserQmean","PulserQmean"); | |
2158 | calibObjects->Add(calPad); | |
2159 | ||
2160 | calPad = new AliTPCCalPad((TObjArray*)sig->GetCalPadRMS()); | |
2161 | if (nCols > 4) { | |
2162 | sObjName = (TObjString*)(arrCol->At(4)); | |
2163 | calPad->SetNameTitle(sObjName->GetString().Data(), sObjName->GetString().Data()); | |
2164 | } | |
2165 | else calPad->SetNameTitle("PulserTrms","PulserTrms"); | |
2166 | calibObjects->Add(calPad); | |
2167 | ||
2168 | } else if ( sType == "Pedestals") { | |
2169 | AliTPCCalibPedestal *ped = (AliTPCCalibPedestal*)fIn->Get("AliTPCCalibPedestal"); | |
2170 | ||
2171 | calPad = new AliTPCCalPad((TObjArray*)ped->GetCalPadPedestal()); | |
2172 | if (nCols > 2) { | |
2173 | sObjName = (TObjString*)(arrCol->At(2)); | |
2174 | calPad->SetNameTitle(sObjName->GetString().Data(), sObjName->GetString().Data()); | |
2175 | } | |
2176 | else calPad->SetNameTitle("Pedestals","Pedestals"); | |
2177 | calibObjects->Add(calPad); | |
2178 | ||
2179 | calPad = new AliTPCCalPad((TObjArray*)ped->GetCalPadRMS()); | |
2180 | if (nCols > 3) { | |
2181 | sObjName = (TObjString*)(arrCol->At(3)); | |
2182 | calPad->SetNameTitle(sObjName->GetString().Data(), sObjName->GetString().Data()); | |
2183 | } | |
2184 | else calPad->SetNameTitle("Noise","Noise"); | |
2185 | calibObjects->Add(calPad); | |
2186 | ||
2187 | } else if ( sType == "CalPad") { | |
2188 | if (nCols > 2) sObjName = (TObjString*)(arrCol->At(2)); | |
2189 | else continue; | |
2190 | calPad = new AliTPCCalPad(*(AliTPCCalPad*)fIn->Get(sObjName->GetString().Data())); | |
2191 | if (nCols > 3) { | |
2192 | sObjName = (TObjString*)(arrCol->At(3)); | |
2193 | calPad->SetNameTitle(sObjName->GetString().Data(), sObjName->GetString().Data()); | |
2194 | } | |
2195 | calibObjects->Add(calPad); | |
2196 | } else { | |
2197 | fprintf(stderr,"Undefined Type: '%s'",sType.Data()); | |
2198 | } | |
2199 | delete fIn; | |
2200 | } | |
2201 | } | |
2202 | ||
2203 | ||
2204 |