Belle II Software development
eclMuMuEAlgorithm.cc
1/**************************************************************************
2 * basf2 (Belle II Analysis Software Framework) *
3 * Author: The Belle II Collaboration *
4 * *
5 * See git log for contributors and copyright holders. *
6 * This file is licensed under LGPL-3.0, see LICENSE.md. *
7 **************************************************************************/
8
9/* Own header. */
10#include <ecl/calibration/eclMuMuEAlgorithm.h>
11
12/* ECL headers. */
13#include <ecl/dataobjects/ECLElementNumbers.h>
14#include <ecl/dbobjects/ECLCrystalCalib.h>
15
16/* ROOT headers. */
17#include <TF1.h>
18#include <TFile.h>
19#include <TH2F.h>
20#include <TMath.h>
21#include <TROOT.h>
22
23using namespace std;
24using namespace Belle2;
25using namespace ECL;
26
28// cppcheck-suppress constParameter ; TF1 fit functions cannot have const parameters
29double eclNovoConst(double* x, double* par)
30{
31 double qc = 0;
32
33 double peak = par[1];
34 double width = par[2];
35 double sln4 = sqrt(log(4));
36 double y = par[3] * sln4;
37 double tail = -log(y + sqrt(1 + y * y)) / sln4;
38
39 if (TMath::Abs(tail) < 1.e-7) {
40 qc = 0.5 * TMath::Power(((x[0] - peak) / width), 2);
41 } else {
42 double qa = tail * sqrt(log(4.));
43 double qb = sinh(qa) / qa;
44 double qx = (x[0] - peak) / width * qb;
45 double qy = 1. + tail * qx;
46
47 if (qy > 1.E-7)
48 qc = 0.5 * (TMath::Power((log(qy) / tail), 2) + tail * tail);
49 else
50 qc = 15.0;
51 }
52 return par[0] * exp(-qc) + par[4];
53}
54
55
56eclMuMuEAlgorithm::eclMuMuEAlgorithm(): CalibrationAlgorithm("eclMuMuECollector"), cellIDLo(1),
57 cellIDHi(ECLElementNumbers::c_NCrystals), minEntries(150),
58 nToRebin(1000), tRatioMin(0.05), tRatioMax(0.40), lowerEdgeThresh(0.10), performFits(true), findExpValues(false), storeConst(0)
59{
60 setDescription(
61 "Perform energy calibration of ecl crystals by fitting a Novosibirsk function to energy deposited by muons"
62 );
63}
64
65CalibrationAlgorithm::EResult eclMuMuEAlgorithm::calibrate()
66{
69 double limitTol = 0.0005; /*< tolerance for checking if a parameter is at the limit */
70 double minFitLimit = 1e-25; /*< cut off for labeling a fit as poor */
71 double peakMin(0.4), peakMax(2.2); /*< range for peak of normalized energy distribution */
72 double peakTol = limitTol * (peakMax - peakMin); /*< fit is at limit if it is within peakTol of min or max */
73 double effSigMin(0.02), effSigMax(0.2); /*< range for effective sigma of normalized energy distribution */
74 double effSigTol = limitTol * (effSigMax - effSigMin); /*< fit is at limit if it is within effSigTol of min or max */
75 double etaNom(-0.41); /*< Nominal tail parameter; fixed to this value for low statistics fits */
76 double etaMin(-1.), etaMax(0.); /*< Novosibirsk tail parameter range */
77 double etaTol = limitTol * (etaMax - etaMin); /*< fit is at limit if it is within etaTol of min or max */
78
80 gROOT->SetBatch();
81
84 B2INFO("eclMuMuEAlgorithm parameters:");
85 B2INFO("cellIDLo = " << cellIDLo);
86 B2INFO("cellIDHi = " << cellIDHi);
87 B2INFO("minEntries = " << minEntries);
88 B2INFO("tRatioMin = " << tRatioMin);
89 B2INFO("tRatioMax = " << tRatioMax);
90 B2INFO("lowerEdgeThresh = " << lowerEdgeThresh);
91 B2INFO("performFits = " << performFits);
92 B2INFO("findExpValues = " << findExpValues);
93 B2INFO("storeConst = " << storeConst);
94
97 TH1F* dummy;
98 dummy = (TH1F*)gROOT->FindObject("IntegralVsCrysID");
99 if (dummy) {delete dummy;}
100 dummy = (TH1F*)gROOT->FindObject("AverageExpECrys");
101 if (dummy) {delete dummy;}
102 dummy = (TH1F*)gROOT->FindObject("AverageElecCalib");
103 if (dummy) {delete dummy;}
104 dummy = (TH1F*)gROOT->FindObject("AverageInitCalib");
105 if (dummy) {delete dummy;}
106
109 auto TrkPerCrysID = getObjectPtr<TH1F>("TrkPerCrysID");
110 auto EnVsCrysID = getObjectPtr<TH2F>("EnVsCrysID");
111 auto ExpEvsCrys = getObjectPtr<TH1F>("ExpEvsCrys");
112 auto ElecCalibvsCrys = getObjectPtr<TH1F>("ElecCalibvsCrys");
113 auto InitialCalibvsCrys = getObjectPtr<TH1F>("InitialCalibvsCrys");
114 auto CalibEntriesvsCrys = getObjectPtr<TH1F>("CalibEntriesvsCrys");
115 auto RawDigitAmpvsCrys = getObjectPtr<TH2F>("RawDigitAmpvsCrys");
116 auto RawDigitTimevsCrys = getObjectPtr<TH2F>("RawDigitTimevsCrys");
117 auto hitCrysVsExtrapolatedCrys = getObjectPtr<TH2F>("hitCrysVsExtrapolatedCrys");
118
122 TH1F* IntegralVsCrysID = new TH1F("IntegralVsCrysID", "Integral of EnVsCrysID for each crystal;crystal ID;Entries",
123 ECLElementNumbers::c_NCrystals, 0, ECLElementNumbers::c_NCrystals);
124 TH1F* AverageExpECrys = new TH1F("AverageExpECrys", "Average expected E per crys from collector;Crystal ID;Energy (GeV)",
125 ECLElementNumbers::c_NCrystals, 0,
126 ECLElementNumbers::c_NCrystals);
127 TH1F* AverageElecCalib = new TH1F("AverageElecCalib", "Average electronics calib const vs crystal;Crystal ID;Calibration constant",
128 ECLElementNumbers::c_NCrystals, 0, ECLElementNumbers::c_NCrystals);
129 TH1F* AverageInitCalib = new TH1F("AverageInitCalib", "Average initial calib const vs crystal;Crystal ID;Calibration constant",
130 ECLElementNumbers::c_NCrystals, 0, ECLElementNumbers::c_NCrystals);
131
132 for (int crysID = 0; crysID < ECLElementNumbers::c_NCrystals; crysID++) {
133 TH1D* hEnergy = EnVsCrysID->ProjectionY("hEnergy", crysID + 1, crysID + 1);
134 int Integral = hEnergy->Integral();
135 IntegralVsCrysID->SetBinContent(crysID + 1, Integral);
136
137 double TotEntries = CalibEntriesvsCrys->GetBinContent(crysID + 1);
138
139 double expectedE = 0.;
140 if (TotEntries > 0.) {expectedE = ExpEvsCrys->GetBinContent(crysID + 1) / TotEntries;}
141 AverageExpECrys->SetBinContent(crysID + 1, expectedE);
142
143 double calibconst = 0.;
144 if (TotEntries > 0.) {calibconst = ElecCalibvsCrys->GetBinContent(crysID + 1) / TotEntries;}
145 AverageElecCalib->SetBinContent(crysID + 1, calibconst);
146
147 calibconst = 0.;
148 if (TotEntries > 0.) {calibconst = InitialCalibvsCrys->GetBinContent(crysID + 1) / TotEntries;}
149 AverageInitCalib->SetBinContent(crysID + 1, calibconst);
150 }
151
154 TFile* histfile = new TFile("eclMuMuEAlgorithm.root", "recreate");
155 TrkPerCrysID->Write();
156 EnVsCrysID->Write();
157 IntegralVsCrysID->Write();
158 AverageExpECrys->Write();
159 AverageElecCalib->Write();
160 AverageInitCalib->Write();
161 RawDigitAmpvsCrys->Write();
162 RawDigitTimevsCrys->Write();
163 hitCrysVsExtrapolatedCrys->Write();
164
167 if (!performFits) {
168 B2RESULT("eclMuMuEAlgorithm has not been asked to perform fits; copying input histograms and quitting");
169 histfile->Close();
170 return c_NotEnoughData;
171 }
172
175 bool sufficientData = true;
176 for (int crysID = cellIDLo - 1; crysID < cellIDHi; crysID++) {
177 if (IntegralVsCrysID->GetBinContent(crysID + 1) < minEntries) {
178 if (storeConst == 1) {B2RESULT("eclMuMuEAlgorithm: crystal " << crysID << " has insufficient statistics: " << IntegralVsCrysID->GetBinContent(crysID + 1) << ". Requirement is " << minEntries);}
179 sufficientData = false;
180 break;
181 }
182 }
183
185 if (!sufficientData && storeConst == 1) {
186 histfile->Close();
187 return c_NotEnoughData;
188 }
189
194 TH1F* CalibVsCrysID = new TH1F("CalibVsCrysID", "Calibration constant vs crystal ID;crystal ID;counts per GeV",
195 ECLElementNumbers::c_NCrystals, 0, ECLElementNumbers::c_NCrystals);
196 TH1F* ExpEnergyperCrys = new TH1F("ExpEnergyperCrys", "Expected energy per crystal;Crystal ID;Peak energy (GeV)",
197 ECLElementNumbers::c_NCrystals, 0, ECLElementNumbers::c_NCrystals);
198
200 TH1F* PeakVsCrysID = new TH1F("PeakVsCrysID", "Peak of Novo fit vs crystal ID;crystal ID;Peak normalized energy",
201 ECLElementNumbers::c_NCrystals, 0,
202 ECLElementNumbers::c_NCrystals);
203 TH1F* EdgeVsCrysID = new TH1F("EdgeVsCrysID", "Lower edge of Novo fit vs crystal ID;crystal ID", ECLElementNumbers::c_NCrystals, 0,
204 ECLElementNumbers::c_NCrystals);
205 TH1F* effSigVsCrysID = new TH1F("effSigVsCrysID", "effSigma vs crystal ID;crystal ID;sigma)", ECLElementNumbers::c_NCrystals, 0,
206 ECLElementNumbers::c_NCrystals);
207 TH1F* etaVsCrysID = new TH1F("etaVsCrysID", "eta vs crystal ID;crystal ID;Novo eta parameter", ECLElementNumbers::c_NCrystals, 0,
208 ECLElementNumbers::c_NCrystals);
209 TH1F* normVsCrysID = new TH1F("normVsCrysID", "Novosibirsk normalization vs crystal ID;crystal ID;normalization",
210 ECLElementNumbers::c_NCrystals, 0, ECLElementNumbers::c_NCrystals);
211 TH1F* lowerLimitVsCrysID = new TH1F("lowerLimitVsCrysID", "fit range lower limit vs crystal ID;crystal ID;lower fit limit",
212 ECLElementNumbers::c_NCrystals, 0,
213 ECLElementNumbers::c_NCrystals);
214 TH1F* fitLimitVsCrysID = new TH1F("fitLimitVsCrysID", "fit range upper limit vs crystal ID;crystal ID;upper fit limit",
215 ECLElementNumbers::c_NCrystals, 0,
216 ECLElementNumbers::c_NCrystals);
217 TH1F* StatusVsCrysID = new TH1F("StatusVsCrysID", "Fit status vs crystal ID;crystal ID;Fit status", ECLElementNumbers::c_NCrystals,
218 0, ECLElementNumbers::c_NCrystals);
219
221 TH1F* hStatus = new TH1F("hStatus", "Fit status", 25, -5, 20);
222 TH1F* hPeak = new TH1F("hPeak", "Peaks of normalized energy distributions, successful fits;Peak of Novosibirsk fit", 200, 0.8, 1.2);
223 TH1F* fracPeakUnc = new TH1F("fracPeakUnc", "Fractional uncertainty on peak uncertainty, successful fits;Uncertainty on peak", 100,
224 0, 0.1);
225
226
229 bool allFitsOK = true;
230 for (int crysID = cellIDLo - 1; crysID < cellIDHi; crysID++) {
231
233 TString name = "Enormalized";
234 name += crysID;
235 TH1D* hEnergy = EnVsCrysID->ProjectionY(name, crysID + 1, crysID + 1);
236
238 double histMin = hEnergy->GetXaxis()->GetXmin();
239 double histMax = hEnergy->GetXaxis()->GetXmax();
240 TF1* func = new TF1("eclNovoConst", eclNovoConst, histMin, histMax, 5);
241 func->SetParNames("normalization", "peak", "effSigma", "eta", "const");
242 func->SetParLimits(1, peakMin, peakMax);
243 func->SetParLimits(2, effSigMin, effSigMax);
244 func->SetParLimits(3, etaMin, etaMax);
245
246 //..Currently not using the constant term
247 double constant = 0.;
248 func->FixParameter(4, constant);
249
250 //..If low statistics, rebin, and fix eta
251 if (hEnergy->GetEntries() < nToRebin) {
252 hEnergy->Rebin(2);
253 func->FixParameter(3, etaNom);
254 }
255
257 hEnergy->GetXaxis()->SetRangeUser(peakMin, peakMax);
258 double peak = hEnergy->GetMaximum();
259 int maxBin = hEnergy->GetMaximumBin();
260 double peakE = hEnergy->GetBinLowEdge(maxBin);
261 double peakEUnc = 0.;
262 double normalization = hEnergy->GetMaximum();
263 double normUnc = 0.;
264 double effSigma = hEnergy->GetRMS();
265 double sigmaUnc = 0.;
266 hEnergy->GetXaxis()->SetRangeUser(histMin, histMax);
267 double fitProb = 0.;
268
270 double eta = etaNom;
271 double etaUnc = 0.;
272
273 //..Will find the lower edge of normalized energy at the end of the fit
274 double lowerEnEdge = 0.;
275
276 //..Fit range from set of bins with sufficient entries.
277 double targetY = tRatioMin * peak;
278 int iLow = maxBin;
279 while (hEnergy->GetBinContent(iLow) > targetY) {iLow--;}
280 double fitlow = hEnergy->GetBinLowEdge(iLow);
281
282 targetY = tRatioMax * peak;
283 int iHigh = maxBin;
284 while (hEnergy->GetBinContent(iHigh) > targetY) {iHigh++;}
285 double fithigh = hEnergy->GetBinLowEdge(iHigh + 1);
286
289 bool fitHist = IntegralVsCrysID->GetBinContent(crysID + 1) >= minEntries; /* fit only if enough events */
290 if (fitHist) {
291
293 func->SetParameters(normalization, peakE, effSigma, eta, constant);
294
296 hEnergy->Fit(func, "LIQ", "", fitlow, fithigh);
297 normalization = func->GetParameter(0);
298 normUnc = func->GetParError(0);
299 peakE = func->GetParameter(1);
300 peakEUnc = func->GetParError(1);
301 effSigma = func->GetParameter(2);
302 sigmaUnc = func->GetParError(2);
303 eta = func->GetParameter(3);
304 etaUnc = func->GetParError(3);
305 fitProb = func->GetProb();
306
307 //..Lower edge of the fit function is used to find the calibration constant.
308 // Can now use the peak of the fit, instead of the bin content.
309 peak = func->Eval(peakE);
310 targetY = lowerEdgeThresh * peak;
311
313 iHigh = hEnergy->GetXaxis()->FindBin(peakE) + 1;
314 iLow = hEnergy->GetXaxis()->FindBin(fitlow);
315 int iLast = iHigh;
316 for (int ibin = iHigh; ibin > iLow; ibin--) {
317 double xc = hEnergy->GetBinCenter(ibin);
318 if (func->Eval(xc) > targetY) {iLast = ibin;}
319 }
320 double xHigh = hEnergy->GetBinCenter(iLast);
321 double xLow = hEnergy->GetBinCenter(iLast - 1);
322
324 if (func->Eval(xLow) < targetY and func->Eval(xHigh) > targetY) {
325 func->SetNpx(1000);
326 lowerEnEdge = func->GetX(targetY, xLow, xHigh);
327 }
328 }
329
332 int iStatus = fitOK; // success
333
335 if (lowerEnEdge < 0.01) {iStatus = noLowerEdge;}
336
338 if (fitProb <= minFitLimit) {iStatus = poorFit;}
339
341 if ((peakE < peakMin + peakTol) || (peakE > peakMax - peakTol)) {iStatus = atLimit;}
342 if ((effSigma < effSigMin + effSigTol) || (effSigma > effSigMax - effSigTol)) {iStatus = atLimit;}
343 if ((eta < etaMin + etaTol) || (eta > etaMax - etaTol)) {iStatus = atLimit;}
344
345 //** No fit
346 if (!fitHist) {iStatus = notFit;} // not fit
347
349 int histbin = crysID + 1;
350 PeakVsCrysID->SetBinContent(histbin, peakE);
351 PeakVsCrysID->SetBinError(histbin, peakEUnc);
352 EdgeVsCrysID->SetBinContent(histbin, lowerEnEdge);
353 EdgeVsCrysID->SetBinError(histbin, peakEUnc); // approximate
354 effSigVsCrysID->SetBinContent(histbin, effSigma);
355 effSigVsCrysID->SetBinError(histbin, sigmaUnc);
356 etaVsCrysID->SetBinContent(histbin, eta);
357 etaVsCrysID->SetBinError(histbin, etaUnc);
358 normVsCrysID->SetBinContent(histbin, normalization);
359 normVsCrysID->SetBinError(histbin, normUnc);
360 lowerLimitVsCrysID->SetBinContent(histbin, fitlow);
361 lowerLimitVsCrysID->SetBinError(histbin, 0);
362 fitLimitVsCrysID->SetBinContent(histbin, fithigh);
363 fitLimitVsCrysID->SetBinError(histbin, 0);
364 StatusVsCrysID->SetBinContent(histbin, iStatus);
365 StatusVsCrysID->SetBinError(histbin, 0);
366
368 hStatus->Fill(iStatus);
369 if (iStatus >= iterations) {
370 hPeak->Fill(peakE);
371 fracPeakUnc->Fill(peakEUnc / peakE);
372 }
373
375 B2INFO("cellID " << crysID + 1 << " status = " << iStatus << " fit probability = " << fitProb);
376 histfile->cd();
377 hEnergy->Write();
378
379 } /* end of loop over crystals */
380
383 for (int crysID = 0; crysID < ECLElementNumbers::c_NCrystals; crysID++) {
384 int histbin = crysID + 1;
385 double fitstatus = StatusVsCrysID->GetBinContent(histbin);
386 double peakE = PeakVsCrysID->GetBinContent(histbin);
387 double edge = EdgeVsCrysID->GetBinContent(histbin);
388 double fracpeakEUnc = PeakVsCrysID->GetBinError(histbin) / peakE;
389
391 if (fitstatus < iterations) {
392 peakE = -1.;
393 edge = -1.;
394 fracpeakEUnc = 0.;
395 if (histbin >= cellIDLo && histbin <= cellIDHi) {
396 B2RESULT("eclMuMuEAlgorithm: cellID " << histbin << " is not a successful fit. Status = " << fitstatus);
397 allFitsOK = false;
398 }
399 }
400
402 if (findExpValues) {
403 double inputExpE = abs(AverageExpECrys->GetBinContent(histbin));
404 ExpEnergyperCrys->SetBinContent(histbin, inputExpE * edge);
405 ExpEnergyperCrys->SetBinError(histbin, fracpeakEUnc * inputExpE * peakE);
406 } else {
407
409 double inputCalib = abs(AverageInitCalib->GetBinContent(histbin));
410 CalibVsCrysID->SetBinContent(histbin, inputCalib / edge);
411 CalibVsCrysID->SetBinError(histbin, fracpeakEUnc * inputCalib / peakE);
412 }
413 }
414
417 bool DBsuccess = false;
418 if (storeConst == 0 || (storeConst == 1 && allFitsOK)) {
419 DBsuccess = true;
420 if (findExpValues) {
421
423 std::vector<float> tempE;
424 std::vector<float> tempUnc;
425 for (int crysID = 0; crysID < ECLElementNumbers::c_NCrystals; crysID++) {
426 tempE.push_back(ExpEnergyperCrys->GetBinContent(crysID + 1));
427 tempUnc.push_back(ExpEnergyperCrys->GetBinError(crysID + 1));
428 }
429 ECLCrystalCalib* ExpectedE = new ECLCrystalCalib();
430 ExpectedE->setCalibVector(tempE, tempUnc);
431 saveCalibration(ExpectedE, "ECLExpMuMuE");
432 B2RESULT("eclCosmicEAlgorithm: successfully stored expected energies ECLExpMuMuE");
433
434 } else {
435
437 std::vector<float> tempCalib;
438 std::vector<float> tempCalibUnc;
439 for (int crysID = 0; crysID < ECLElementNumbers::c_NCrystals; crysID++) {
440 tempCalib.push_back(CalibVsCrysID->GetBinContent(crysID + 1));
441 tempCalibUnc.push_back(CalibVsCrysID->GetBinError(crysID + 1));
442 }
443 ECLCrystalCalib* MuMuECalib = new ECLCrystalCalib();
444 MuMuECalib->setCalibVector(tempCalib, tempCalibUnc);
445 saveCalibration(MuMuECalib, "ECLCrystalEnergyMuMu");
446 B2RESULT("eclMuMuEAlgorithm: successfully stored ECLCrystalEnergyMuMu calibration constants");
447 }
448 }
449
453 PeakVsCrysID->Write();
454 EdgeVsCrysID->Write();
455 effSigVsCrysID->Write();
456 etaVsCrysID->Write();
457 normVsCrysID->Write();
458 lowerLimitVsCrysID->Write();
459 fitLimitVsCrysID->Write();
460 StatusVsCrysID->Write();
461 hPeak->Write();
462 fracPeakUnc->Write();
463 hStatus->Write();
464
466 if (findExpValues) {
467 ExpEnergyperCrys->Write();
468 } else {
469 CalibVsCrysID->Write();
470 }
471 histfile->Close();
472
475 dummy = (TH1F*)gROOT->FindObject("PeakVsCrysID"); delete dummy;
476 dummy = (TH1F*)gROOT->FindObject("EdgeVsCrysID"); delete dummy;
477 dummy = (TH1F*)gROOT->FindObject("effSigVsCrysID"); delete dummy;
478 dummy = (TH1F*)gROOT->FindObject("etaVsCrysID"); delete dummy;
479 dummy = (TH1F*)gROOT->FindObject("normVsCrysID"); delete dummy;
480 dummy = (TH1F*)gROOT->FindObject("lowerLimitVsCrysID"); delete dummy;
481 dummy = (TH1F*)gROOT->FindObject("fitLimitVsCrysID"); delete dummy;
482 dummy = (TH1F*)gROOT->FindObject("StatusVsCrysID"); delete dummy;
483 dummy = (TH1F*)gROOT->FindObject("fitProbSame"); delete dummy;
484 dummy = (TH1F*)gROOT->FindObject("fracPeakUnc"); delete dummy;
485 dummy = (TH1F*)gROOT->FindObject("hStatus"); delete dummy;
486 dummy = (TH1F*)gROOT->FindObject("ExpEnergyperCrys"); delete dummy;
487 dummy = (TH1F*)gROOT->FindObject("CalibVsCrysID"); delete dummy;
488
489
492 if (storeConst == -1) {
493 B2RESULT("eclMuMuEAlgorithm performed fits but was not asked to store contants");
494 return c_Failure;
495 } else if (!DBsuccess) {
496 if (findExpValues) { B2RESULT("eclMuMuEAlgorithm: failed to store expected values"); }
497 else { B2RESULT("eclMuMuEAlgorithm: failed to store calibration constants"); }
498 return c_Failure;
499 }
500 return c_OK;
501}
Belle2::CalibrationAlgorithm
Base class for calibration algorithms.
Definition: CalibrationAlgorithm.h:37
Belle2::CalibrationAlgorithm::saveCalibration
void saveCalibration(TClonesArray *data, const std::string &name)
Store DBArray payload with given name with default IOV.
Definition: CalibrationAlgorithm.cc:297
Belle2::CalibrationAlgorithm::setDescription
void setDescription(const std::string &description)
Set algorithm description (in constructor)
Definition: CalibrationAlgorithm.h:321
Belle2::CalibrationAlgorithm::EResult
EResult
The result of calibration.
Definition: CalibrationAlgorithm.h:40
Belle2::CalibrationAlgorithm::c_OK
@ c_OK
Finished successfuly =0 in Python.
Definition: CalibrationAlgorithm.h:41
Belle2::CalibrationAlgorithm::c_NotEnoughData
@ c_NotEnoughData
Needs more data =2 in Python.
Definition: CalibrationAlgorithm.h:43
Belle2::CalibrationAlgorithm::c_Failure
@ c_Failure
Failed =3 in Python.
Definition: CalibrationAlgorithm.h:44
Belle2::ECLCrystalCalib
General DB object to store one calibration number per ECL crystal.
Definition: ECLCrystalCalib.h:27
Belle2::ECLCrystalCalib::setCalibVector
void setCalibVector(const std::vector< float > &CalibConst, const std::vector< float > &CalibConstUnc)
Set vector of constants with uncertainties.
Definition: ECLCrystalCalib.h:41
Belle2::ECL::eclMuMuEAlgorithm::tRatioMin
double tRatioMin
entries/peak at low edge of fit must be greater than this
Definition: eclMuMuEAlgorithm.h:36
Belle2::ECL::eclMuMuEAlgorithm::poorFit
int poorFit
low chi square; fit not useable
Definition: eclMuMuEAlgorithm.h:56
Belle2::ECL::eclMuMuEAlgorithm::iterations
int iterations
fit reached max number of iterations, but is useable
Definition: eclMuMuEAlgorithm.h:53
Belle2::ECL::eclMuMuEAlgorithm::noLowerEdge
int noLowerEdge
could not determine lower edge of fit
Definition: eclMuMuEAlgorithm.h:54
Belle2::ECL::eclMuMuEAlgorithm::storeConst
int storeConst
controls which values are written to the database.
Definition: eclMuMuEAlgorithm.h:41
Belle2::ECL::eclMuMuEAlgorithm::performFits
bool performFits
if false, input histograms are copied to output, but no fits are done.
Definition: eclMuMuEAlgorithm.h:39
Belle2::ECL::eclMuMuEAlgorithm::cellIDHi
int cellIDHi
Last cellID to be fit.
Definition: eclMuMuEAlgorithm.h:33
Belle2::ECL::eclMuMuEAlgorithm::lowerEdgeThresh
double lowerEdgeThresh
Lower edge is where the fit = lowerEdgeThresh * peak value.
Definition: eclMuMuEAlgorithm.h:38
Belle2::ECL::eclMuMuEAlgorithm::cellIDLo
int cellIDLo
..Parameters to control Novosibirsk fit to energy deposited in each crystal by mu+mu- events
Definition: eclMuMuEAlgorithm.h:32
Belle2::ECL::eclMuMuEAlgorithm::findExpValues
bool findExpValues
if true, fits are used to find expected energy deposit for each crystal instead of the calibration co...
Definition: eclMuMuEAlgorithm.h:40
Belle2::ECL::eclMuMuEAlgorithm::minEntries
int minEntries
All crystals to be fit must have at least minEntries events in the fit range.
Definition: eclMuMuEAlgorithm.h:34
Belle2::ECL::eclMuMuEAlgorithm::nToRebin
int nToRebin
If fewer entries than this, rebin and fix eta parameter.
Definition: eclMuMuEAlgorithm.h:35
Belle2::ECL::eclMuMuEAlgorithm::calibrate
virtual EResult calibrate() override
..Run algorithm on events
Definition: eclMuMuEAlgorithm.cc:65
Belle2::ECL::eclMuMuEAlgorithm::atLimit
int atLimit
a parameter is at the limit; fit not useable
Definition: eclMuMuEAlgorithm.h:55
Belle2::ECL::eclMuMuEAlgorithm::tRatioMax
double tRatioMax
entries/peak at high edge of fit must be greater than this
Definition: eclMuMuEAlgorithm.h:37
Belle2::sqrt
double sqrt(double a)
sqrt for double
Definition: beamHelpers.h:28
Belle2::ECLElementNumbers::c_NCrystals
const int c_NCrystals
Number of crystals.
Definition: ECLElementNumbers.h:23
Belle2
Abstract base class for different kinds of events.
Definition: MillepedeAlgorithm.h:17
std
STL namespace.