64 TPCTimeSeries(std::shared_ptr<o2::base::GRPGeomRequest> req,
const bool disableWriter,
const o2::base::Propagator::MatCorrType matType,
const bool enableUnbinnedWriter,
const bool tpcOnly, std::shared_ptr<o2::globaltracking::DataRequest> dr) : mCCDBRequest(req), mDisableWriter(disableWriter), mMatType(matType), mUnbinnedWriter(enableUnbinnedWriter), mTPCOnly(tpcOnly), mDataRequest(dr) {};
69 mNMaxTracks = ic.options().get<
int>(
"max-tracks");
70 mMinMom = ic.options().get<
float>(
"min-momentum");
71 mMinNCl = ic.options().get<
int>(
"min-cluster");
72 mMaxTgl = ic.options().get<
float>(
"max-tgl");
73 mMaxQPt = ic.options().get<
float>(
"max-qPt");
74 mCoarseStep = ic.options().get<
float>(
"coarse-step");
75 mFineStep = ic.options().get<
float>(
"fine-step");
76 mCutDCA = ic.options().get<
float>(
"cut-DCA-median");
77 mCutRMS = ic.options().get<
float>(
"cut-DCA-RMS");
78 mRefXSec = ic.options().get<
float>(
"refX-for-sector");
79 mTglBins = ic.options().get<
int>(
"tgl-bins");
80 mPhiBins = ic.options().get<
int>(
"phi-bins");
81 mQPtBins = ic.options().get<
int>(
"qPt-bins");
82 mNThreads = ic.options().get<
int>(
"threads");
83 maxITSTPCDCAr = ic.options().get<
float>(
"max-ITS-TPC-DCAr");
84 maxITSTPCDCAz = ic.options().get<
float>(
"max-ITS-TPC-DCAz");
85 maxITSTPCDCAr_comb = ic.options().get<
float>(
"max-ITS-TPC-DCAr_comb");
86 maxITSTPCDCAz_comb = ic.options().get<
float>(
"max-ITS-TPC-DCAz_comb");
87 mTimeWindowMUS = ic.options().get<
float>(
"time-window-mult-mus");
88 mMIPdEdx = ic.options().get<
float>(
"MIP-dedx");
89 mMaxSnp = ic.options().get<
float>(
"max-snp");
90 mXCoarse = ic.options().get<
float>(
"mX-coarse");
91 mSqrt = ic.options().get<
float>(
"sqrts");
92 mMultBins = ic.options().get<
int>(
"mult-bins");
93 mMultMax = ic.options().get<
int>(
"mult-max");
94 mMinTracksPerVertex = ic.options().get<
int>(
"min-tracks-per-vertex");
95 mMaxdEdxRatio = ic.options().get<
float>(
"max-dedx-ratio");
96 mMaxdEdxRegionRatio = ic.options().get<
float>(
"max-dedx-region-ratio");
97 mSamplingFactor = ic.options().get<
float>(
"sampling-factor");
98 mSampleTsallis = ic.options().get<
bool>(
"sample-unbinned-tsallis");
99 mXOuterMatching = ic.options().get<
float>(
"refX-for-outer-ITS");
100 mUseMinBiasTrigger = !ic.options().get<
bool>(
"disable-min-bias-trigger");
101 mMaxOccupancyHistBins = ic.options().get<
int>(
"max-occupancy-bins");
103 if (mUnbinnedWriter) {
104 for (
int iThread = 0; iThread < mNThreads; ++iThread) {
105 mGenerator.emplace_back(std::mt19937(std::random_device{}()));
108 mBufferVals.resize(mNThreads);
109 mBufferDCA.
setBinning(mPhiBins, mTglBins, mQPtBins, mMultBins, mMaxTgl, mMaxQPt, mMultMax);
110 if (mUnbinnedWriter) {
111 std::string outfile = ic.options().get<std::string>(
"out-file-unbinned");
113 ROOT::EnableThreadSafety();
115 mStreamer.resize(mNThreads);
116 for (
int iThread = 0; iThread < mNThreads; ++iThread) {
117 std::string outfileThr = outfile;
118 outfileThr.replace(outfileThr.length() - 5, outfileThr.length(), fmt::format(
"_{}.root", iThread));
119 LOGP(info,
"Writing unbinned data to: {}", outfileThr);
120 mStreamer[iThread] = std::make_unique<o2::utils::TreeStreamRedirector>(outfileThr.data(),
"recreate");
133 LOGP(info,
"Updated reference drift velocity to: {}", mVDrift);
137 const int nBins = getNBins();
145 if (mAvgADCAr.size() != nBins) {
147 mAvgADCAr.resize(nBins);
148 mAvgCDCAr.resize(nBins);
149 mAvgADCAz.resize(nBins);
150 mAvgCDCAz.resize(nBins);
151 mAvgMeffA.resize(nBins);
152 mAvgMeffC.resize(nBins);
153 mAvgChi2MatchA.resize(nBins);
154 mAvgChi2MatchC.resize(nBins);
155 mMIPdEdxRatioQMaxA.resize(nBins);
156 mMIPdEdxRatioQMaxC.resize(nBins);
157 mMIPdEdxRatioQTotA.resize(nBins);
158 mMIPdEdxRatioQTotC.resize(nBins);
159 mTPCChi2A.resize(nBins);
160 mTPCChi2C.resize(nBins);
161 mTPCNClA.resize(nBins);
162 mTPCNClC.resize(nBins);
163 mLogdEdxQTotA.resize(nBins);
164 mLogdEdxQTotC.resize(nBins);
165 mLogdEdxQMaxA.resize(nBins);
166 mLogdEdxQMaxC.resize(nBins);
167 mITSPropertiesA.resize(nBins);
168 mITSPropertiesC.resize(nBins);
169 mITSTPCDeltaPA.resize(nBins);
170 mITSTPCDeltaPC.resize(nBins);
171 mSigmaYZA.resize(nBins);
172 mSigmaYZC.resize(nBins);
180 auto tracksITSTPC = mTPCOnly ? gsl::span<o2::dataformats::TrackTPCITS>() : recoData.
getTPCITSTracks();
181 auto tracksITS = mTPCOnly ? gsl::span<o2::its::TrackITS>() : recoData.
getITSTracks();
184 auto vertices = mTPCOnly ? gsl::span<o2::dataformats::PrimaryVertex>() : recoData.
getPrimaryVertices();
195 const auto& tofClusters = mTPCOnly ? gsl::span<o2::tof::Cluster>() : recoData.
getTOFClusters();
197 LOGP(info,
"Processing {} vertices, {} primary matched vertices, {} TPC tracks, {} ITS tracks, {} ITS-TPC tracks, {} TOF clusters", vertices.size(), primMatchedTracks.size(), tracksTPC.size(), tracksITS.size(), tracksITSTPC.size(), tofClusters.size());
200 auto indicesITSTPC_vtx = processVertices(vertices, primMatchedTracks, primMatchedTracksRef, recoData);
203 std::unordered_map<unsigned int, std::array<int, 2>> indicesITSTPC;
205 for (
int i = 0;
i < tracksITSTPC.size(); ++
i) {
206 auto it = indicesITSTPC_vtx.find(
i);
208 const auto idxVtx = (it != indicesITSTPC_vtx.end()) ? (it->second) : -1;
210 indicesITSTPC[tracksITSTPC[
i].getRefTPC().getIndex()] = {
i, idxVtx};
213 std::vector<std::tuple<int, float, float, o2::track::TrackLTIntegral, double, float, unsigned int>> idxTPCTrackToTOFCluster;
216 if (mUnbinnedWriter) {
220 idxTPCTrackToTOFCluster = std::vector<std::tuple<int, float, float, o2::track::TrackLTIntegral, double, float, unsigned int>>(tracksTPC.size(), {-1, -999, -999, defLT, 0, 0, 0});
225 std::map<ULong64_t, short> t0array;
226 for (
const auto&
t0 : ft0rec) {
227 if (!(
t0.isValidTime(1) &&
t0.isValidTime(2))) {
231 auto bclong =
t0.mIntRecord.differenceInBC(recoData.
startIR);
232 if (t0array.find(bclong) == t0array.end()) {
233 t0array.emplace(std::make_pair(bclong,
t0.getCollisionTime(0)));
240 for (
const auto& tofMatch : tofMatches) {
241 for (
const auto& tpctofmatch : tofMatch) {
243 if (refTPC.isIndexSet()) {
245 ULong64_t bclongtof = (tpctofmatch.getSignal() - 10000) * BC_TIME_INPS_INV;
247 unsigned int mask = 0;
248 if (!(t0array.find(bclongtof) == t0array.end())) {
249 t0 += t0array.find(bclongtof)->second;
253 double signal = tpctofmatch.getSignal() -
t0;
254 float deltaT = tpctofmatch.getDeltaT();
256 float dy = tpctofmatch.getDYatTOF();
257 bool isMultiHitZ = tpctofmatch.getHitPatternUpDown();
258 bool isMultiHitX = tpctofmatch.getHitPatternLeftRight();
259 bool isMultiStripMatch = tpctofmatch.getChi2() < 1E-9;
260 float chi2 = tpctofmatch.getChi2();
261 bool hasT0_1BCbefore = (t0array.find(bclongtof - 1) != t0array.end());
262 bool hasT0_2BCbefore = (t0array.find(bclongtof - 2) != t0array.end());
270 if (fabs(dy) > 0.5) {
273 if (isMultiStripMatch) {
285 if (hasT0_1BCbefore) {
288 if (hasT0_2BCbefore) {
292 idxTPCTrackToTOFCluster[refTPC] = {tpctofmatch.getIdxTOFCl(), tpctofmatch.getDXatTOF(), tpctofmatch.getDZatTOF(), ltIntegral, signal, deltaT,
mask};
299 findNearesVertex(tracksTPC, vertices);
302 if (mUnbinnedWriter) {
303 mTPCTrackClIdx = pc.inputs().get<gsl::span<o2::tpc::TPCClRefElem>>(
"trackTPCClRefs");
308 findNNeighbourTracks(tracksTPC);
311 for (
int i = 0;
i < nBins; ++
i) {
313 mAvgADCAr[
i][
type].clear();
314 mAvgCDCAr[
i][
type].clear();
315 mAvgADCAz[
i][
type].clear();
316 mAvgCDCAz[
i][
type].clear();
318 for (
int type = 0;
type < mMIPdEdxRatioQMaxA[
i].size(); ++
type) {
319 mMIPdEdxRatioQMaxA[
i][
type].clear();
320 mMIPdEdxRatioQMaxC[
i][
type].clear();
321 mMIPdEdxRatioQTotA[
i][
type].clear();
322 mMIPdEdxRatioQTotC[
i][
type].clear();
323 mTPCChi2A[
i][
type].clear();
324 mTPCChi2C[
i][
type].clear();
325 mTPCNClA[
i][
type].clear();
326 mTPCNClC[
i][
type].clear();
327 mMIPdEdxRatioQMaxA[
i][
type].setUseWeights(
false);
328 mMIPdEdxRatioQMaxC[
i][
type].setUseWeights(
false);
329 mMIPdEdxRatioQTotA[
i][
type].setUseWeights(
false);
330 mMIPdEdxRatioQTotC[
i][
type].setUseWeights(
false);
331 mTPCChi2A[
i][
type].setUseWeights(
false);
332 mTPCChi2C[
i][
type].setUseWeights(
false);
333 mTPCNClA[
i][
type].setUseWeights(
false);
334 mTPCNClC[
i][
type].setUseWeights(
false);
337 mLogdEdxQTotA[
i][
type].clear();
338 mLogdEdxQTotC[
i][
type].clear();
339 mLogdEdxQMaxA[
i][
type].clear();
340 mLogdEdxQMaxC[
i][
type].clear();
341 mLogdEdxQTotA[
i][
type].setUseWeights(
false);
342 mLogdEdxQTotC[
i][
type].setUseWeights(
false);
343 mLogdEdxQMaxA[
i][
type].setUseWeights(
false);
344 mLogdEdxQMaxC[
i][
type].setUseWeights(
false);
346 for (
int j = 0;
j < mITSPropertiesA[
i].size(); ++
j) {
347 mITSPropertiesA[
i][
j].clear();
348 mITSPropertiesC[
i][
j].clear();
349 mITSPropertiesA[
i][
j].setUseWeights(
false);
350 mITSPropertiesC[
i][
j].setUseWeights(
false);
353 for (
int j = 0;
j < mITSTPCDeltaPA[
i].size(); ++
j) {
354 mITSTPCDeltaPA[
i][
j].clear();
355 mITSTPCDeltaPC[
i][
j].clear();
356 mITSTPCDeltaPA[
i][
j].setUseWeights(
false);
357 mITSTPCDeltaPC[
i][
j].setUseWeights(
false);
360 for (
int j = 0;
j < mSigmaYZA[
i].size(); ++
j) {
361 mSigmaYZA[
i][
j].clear();
362 mSigmaYZC[
i][
j].clear();
363 mSigmaYZA[
i][
j].setUseWeights(
false);
364 mSigmaYZC[
i][
j].setUseWeights(
false);
367 for (
int j = 0;
j < mAvgMeffA[
i].size(); ++
j) {
368 mAvgMeffA[
i][
j].clear();
369 mAvgMeffC[
i][
j].clear();
370 mAvgChi2MatchA[
i][
j].clear();
371 mAvgChi2MatchC[
i][
j].clear();
372 mAvgMeffA[
i][
j].setUseWeights(
false);
373 mAvgMeffC[
i][
j].setUseWeights(
false);
374 mAvgChi2MatchA[
i][
j].setUseWeights(
false);
375 mAvgChi2MatchC[
i][
j].setUseWeights(
false);
379 for (
int i = 0;
i < mNThreads; ++
i) {
380 mBufferVals[
i].front().clear();
381 mBufferVals[
i].back().clear();
385 const auto nTracks = tracksTPC.size();
386 const size_t loopEnd = (mNMaxTracks < 0) ? nTracks : ((mNMaxTracks > nTracks) ? nTracks : size_t(mNMaxTracks));
389 for (
int i = 0;
i < nBins; ++
i) {
396 if (
i < lastIdxPhi) {
397 resMem = loopEnd / mPhiBins;
398 }
else if (
i < lastIdxTgl) {
399 resMem = loopEnd / mTglBins;
400 }
else if (
i < lastIdxQPt) {
401 resMem = loopEnd / mQPtBins;
402 }
else if (
i < lastIdxMult) {
403 resMem = loopEnd / mMultBins;
410 mAvgADCAr[
i][
type].reserve(resMem);
411 mAvgCDCAr[
i][
type].reserve(resMem);
412 mAvgADCAz[
i][
type].reserve(resMem);
413 mAvgCDCAz[
i][
type].reserve(resMem);
415 for (
int type = 0;
type < mMIPdEdxRatioQMaxA[
i].size(); ++
type) {
416 mMIPdEdxRatioQMaxA[
i][
type].reserve(resMem);
417 mMIPdEdxRatioQMaxC[
i][
type].reserve(resMem);
418 mMIPdEdxRatioQTotA[
i][
type].reserve(resMem);
419 mMIPdEdxRatioQTotC[
i][
type].reserve(resMem);
420 mTPCChi2A[
i][
type].reserve(resMem);
421 mTPCChi2C[
i][
type].reserve(resMem);
422 mTPCNClA[
i][
type].reserve(resMem);
423 mTPCNClC[
i][
type].reserve(resMem);
425 for (
int j = 0;
j < mAvgMeffA[
i].size(); ++
j) {
426 mAvgMeffA[
i][
j].reserve(resMem);
427 mAvgMeffC[
i][
j].reserve(resMem);
428 mAvgChi2MatchA[
i][
j].reserve(resMem);
429 mAvgChi2MatchC[
i][
j].reserve(resMem);
431 for (
int j = 0;
j < mITSPropertiesA[
i].size(); ++
j) {
432 mITSPropertiesA[
i][
j].reserve(resMem);
433 mITSPropertiesC[
i][
j].reserve(resMem);
435 for (
int j = 0;
j < mITSTPCDeltaPA[
i].size(); ++
j) {
436 mITSTPCDeltaPA[
i][
j].reserve(resMem);
437 mITSTPCDeltaPC[
i][
j].reserve(resMem);
439 for (
int j = 0;
j < mSigmaYZA[
i].size(); ++
j) {
440 mSigmaYZA[
i][
j].reserve(resMem);
441 mSigmaYZC[
i][
j].reserve(resMem);
443 for (
int j = 0;
j < mAvgMeffA[
i].size(); ++
j) {
444 mLogdEdxQTotA[
i][
j].reserve(resMem);
445 mLogdEdxQTotC[
i][
j].reserve(resMem);
446 mLogdEdxQMaxA[
i][
j].reserve(resMem);
447 mLogdEdxQMaxC[
i][
j].reserve(resMem);
450 for (
int iThread = 0; iThread < mNThreads; ++iThread) {
451 const int resMem = (mNThreads > 0) ? loopEnd / mNThreads : loopEnd;
452 mBufferVals[iThread].front().reserve(loopEnd, 1);
453 mBufferVals[iThread].back().reserve(loopEnd, 0);
456 using timer = std::chrono::high_resolution_clock;
457 auto startTotal = timer::now();
460 if (loopEnd < nTracks) {
462 std::vector<size_t> ind(nTracks);
463 std::iota(ind.begin(), ind.end(), 0);
464 std::minstd_rand rng(std::time(
nullptr));
465 std::shuffle(ind.begin(), ind.end(), rng);
467 auto myThread = [&](
int iThread) {
468 for (
size_t i = iThread;
i < loopEnd;
i += mNThreads) {
469 if (acceptTrack(tracksTPC[
i])) {
470 fillDCA(tracksTPC, tracksITSTPC, vertices,
i, iThread, indicesITSTPC, tracksITS, idxTPCTrackToTOFCluster, tofClusters);
475 std::vector<std::thread> threads(mNThreads);
476 for (
int i = 0;
i < mNThreads;
i++) {
477 threads[
i] = std::thread(myThread,
i);
480 for (
auto& th : threads) {
484 auto myThread = [&](
int iThread) {
485 for (
size_t i = iThread;
i < loopEnd;
i += mNThreads) {
486 if (acceptTrack(tracksTPC[
i])) {
487 fillDCA(tracksTPC, tracksITSTPC, vertices,
i, iThread, indicesITSTPC, tracksITS, idxTPCTrackToTOFCluster, tofClusters);
492 std::vector<std::thread> threads(mNThreads);
493 for (
int i = 0;
i < mNThreads;
i++) {
494 threads[
i] = std::thread(myThread,
i);
497 for (
auto& th : threads) {
503 for (
const auto& vals : mBufferVals) {
506 const auto nPoints =
val.side.size();
507 for (
int i = 0;
i < nPoints; ++
i) {
508 const auto tglBin =
val.tglBin[
i];
509 const auto phiBin =
val.phiBin[
i];
510 const auto qPtBin =
val.qPtBin[
i];
511 const auto multBin =
val.multBin[
i];
512 const auto dcar =
val.dcar[
i];
513 const auto dcaz =
val.dcaz[
i];
514 const auto dcarW =
val.dcarW[
i];
515 const int binInt = nBins - 1;
516 const bool fillCombDCA = ((
type == 1) && (
val.dcarcomb[
i] != -1) && (
val.dcazcomb[
i] != -1));
517 const bool fillDCAR = (
type == 1) ? (dcar != -999) :
true;
518 const std::array<int, 5>
bins{tglBin, phiBin, qPtBin, multBin, binInt};
520 for (
auto bin :
bins) {
523 mAvgCDCAr[bin][
type].addValue(dcar, dcarW);
526 mAvgCDCAr[bin][2].addValue(
val.dcarcomb[
i], dcarW);
527 mAvgCDCAz[bin][2].addValue(
val.dcazcomb[
i], dcarW);
531 mAvgCDCAz[bin][
type].addValue(dcaz, dcarW);
535 mAvgADCAr[bin][
type].addValue(dcar, dcarW);
538 mAvgADCAr[bin][2].addValue(
val.dcarcomb[
i], dcarW);
539 mAvgADCAz[bin][2].addValue(
val.dcazcomb[
i], dcarW);
543 mAvgADCAz[bin][
type].addValue(dcaz, dcarW);
555 for (
int slice = 0; slice < nBins; ++slice) {
558 const auto dcaAr = mAvgADCAr[slice][
type].filterPointsMedian(mCutDCA, mCutRMS);
559 bufferDCA.mDCAr_A_Median[slice] = std::get<0>(dcaAr);
560 bufferDCA.mDCAr_A_WeightedMean[slice] = std::get<1>(dcaAr);
561 bufferDCA.mDCAr_A_RMS[slice] = std::get<2>(dcaAr);
562 bufferDCA.mDCAr_A_NTracks[slice] = std::get<3>(dcaAr);
564 const auto dcaAz = mAvgADCAz[slice][
type].filterPointsMedian(mCutDCA, mCutRMS);
565 bufferDCA.mDCAz_A_Median[slice] = std::get<0>(dcaAz);
566 bufferDCA.mDCAz_A_WeightedMean[slice] = std::get<1>(dcaAz);
567 bufferDCA.mDCAz_A_RMS[slice] = std::get<2>(dcaAz);
568 bufferDCA.mDCAz_A_NTracks[slice] = std::get<3>(dcaAz);
570 const auto dcaCr = mAvgCDCAr[slice][
type].filterPointsMedian(mCutDCA, mCutRMS);
571 bufferDCA.mDCAr_C_Median[slice] = std::get<0>(dcaCr);
572 bufferDCA.mDCAr_C_WeightedMean[slice] = std::get<1>(dcaCr);
573 bufferDCA.mDCAr_C_RMS[slice] = std::get<2>(dcaCr);
574 bufferDCA.mDCAr_C_NTracks[slice] = std::get<3>(dcaCr);
576 const auto dcaCz = mAvgCDCAz[slice][
type].filterPointsMedian(mCutDCA, mCutRMS);
577 bufferDCA.mDCAz_C_Median[slice] = std::get<0>(dcaCz);
578 bufferDCA.mDCAz_C_WeightedMean[slice] = std::get<1>(dcaCz);
579 bufferDCA.mDCAz_C_RMS[slice] = std::get<2>(dcaCz);
580 bufferDCA.mDCAz_C_NTracks[slice] = std::get<3>(dcaCz);
583 const auto dcaArComb = mAvgADCAr[slice][2].filterPointsMedian(mCutDCA, mCutRMS);
587 const auto dcaAzCom = mAvgADCAz[slice][2].filterPointsMedian(mCutDCA, mCutRMS);
591 const auto dcaCrComb = mAvgCDCAr[slice][2].filterPointsMedian(mCutDCA, mCutRMS);
595 const auto dcaCzComb = mAvgCDCAz[slice][2].filterPointsMedian(mCutDCA, mCutRMS);
603 for (
const auto& vals : mBufferVals) {
604 const auto&
val = vals.front();
605 const auto nPoints =
val.side.size();
606 for (
int i = 0;
i < nPoints; ++
i) {
607 const auto tglBin =
val.tglBin[
i];
608 const auto phiBin =
val.phiBin[
i];
609 const auto qPtBin =
val.qPtBin[
i];
610 const auto multBin =
val.multBin[
i];
611 const auto dcar =
val.dcar[
i];
612 const auto dcaz =
val.dcaz[
i];
613 const auto hasITS =
val.hasITS[
i];
614 const auto chi2Match =
val.chi2Match[
i];
615 const auto dedxRatioqMax =
val.dedxRatioqMax[
i];
616 const auto dedxRatioqTot =
val.dedxRatioqTot[
i];
617 const auto sqrtChi2TPC =
val.sqrtChi2TPC[
i];
618 const auto nClTPC =
val.nClTPC[
i];
619 const int binInt = nBins - 1;
626 auto& mAvgEff = isCSide ? mAvgMeffC : mAvgMeffA;
627 auto& mAvgChi2Match = isCSide ? mAvgChi2MatchC : mAvgChi2MatchA;
628 auto& mAvgmMIPdEdxRatioqMax = isCSide ? mMIPdEdxRatioQMaxC : mMIPdEdxRatioQMaxA;
629 auto& mAvgmMIPdEdxRatioqTot = isCSide ? mMIPdEdxRatioQTotC : mMIPdEdxRatioQTotA;
630 auto& mAvgmTPCChi2 = isCSide ? mTPCChi2C : mTPCChi2A;
631 auto& mAvgmTPCNCl = isCSide ? mTPCNClC : mTPCNClA;
632 auto& mAvgmdEdxRatioQMax = isCSide ? mLogdEdxQMaxC : mLogdEdxQMaxA;
633 auto& mAvgmdEdxRatioQTot = isCSide ? mLogdEdxQTotC : mLogdEdxQTotA;
634 auto& mITSProperties = isCSide ? mITSPropertiesC : mITSPropertiesA;
635 auto& mSigmaYZ = isCSide ? mSigmaYZC : mSigmaYZA;
636 auto& mITSTPCDeltaP = isCSide ? mITSTPCDeltaPC : mITSTPCDeltaPA;
638 const std::array<int, 5>
bins{tglBin, phiBin, qPtBin, multBin, binInt};
640 for (
auto bin :
bins) {
642 if ((std::abs(dcar - bufferDCAMedR[bin]) < (bufferDCARMSR[bin] * mCutRMS)) && (std::abs(dcaz - bufferDCAMedZ[bin]) < (bufferDCARMSZ[bin] * mCutRMS))) {
643 const auto gID =
val.gID[
i];
644 mAvgEff[bin][0].addValue(hasITS);
647 mAvgEff[bin][1].addValue(hasITS);
648 mAvgEff[bin][2].addValue(hasITS);
652 mAvgEff[bin][1].addValue(hasITS);
654 mAvgEff[bin][2].addValue(hasITS);
657 mAvgChi2Match[bin][0].addValue(chi2Match);
659 mAvgChi2Match[bin][1].addValue(chi2Match);
661 mAvgChi2Match[bin][2].addValue(chi2Match);
664 if (dedxRatioqMax > 0) {
665 mAvgmMIPdEdxRatioqMax[bin][0].addValue(dedxRatioqMax);
667 if (dedxRatioqTot > 0) {
668 mAvgmMIPdEdxRatioqTot[bin][0].addValue(dedxRatioqTot);
670 mAvgmTPCChi2[bin][0].addValue(sqrtChi2TPC);
671 mAvgmTPCNCl[bin][0].addValue(nClTPC);
673 if (dedxRatioqMax > 0) {
674 mAvgmMIPdEdxRatioqMax[bin][1].addValue(dedxRatioqMax);
676 if (dedxRatioqTot > 0) {
677 mAvgmMIPdEdxRatioqTot[bin][1].addValue(dedxRatioqTot);
679 mAvgmTPCChi2[bin][1].addValue(sqrtChi2TPC);
680 mAvgmTPCNCl[bin][1].addValue(nClTPC);
683 float dedxNormQMax =
val.dedxValsqMax[
i].dedxNorm;
684 if (dedxNormQMax > 0) {
685 mAvgmdEdxRatioQMax[bin][0].addValue(dedxNormQMax);
688 float dedxNormQTot =
val.dedxValsqTot[
i].dedxNorm;
689 if (dedxNormQTot > 0) {
690 mAvgmdEdxRatioQTot[bin][0].addValue(dedxNormQTot);
693 float dedxIROCQMax =
val.dedxValsqMax[
i].dedxIROC;
694 if (dedxIROCQMax > 0) {
695 mAvgmdEdxRatioQMax[bin][1].addValue(dedxIROCQMax);
698 float dedxIROCQTot =
val.dedxValsqTot[
i].dedxIROC;
699 if (dedxIROCQTot > 0) {
700 mAvgmdEdxRatioQTot[bin][1].addValue(dedxIROCQTot);
703 float dedxOROC1QMax =
val.dedxValsqMax[
i].dedxOROC1;
704 if (dedxOROC1QMax > 0) {
705 mAvgmdEdxRatioQMax[bin][2].addValue(dedxOROC1QMax);
708 float dedxOROC1QTot =
val.dedxValsqTot[
i].dedxOROC1;
709 if (dedxOROC1QTot > 0) {
710 mAvgmdEdxRatioQTot[bin][2].addValue(dedxOROC1QTot);
713 float dedxOROC2QMax =
val.dedxValsqMax[
i].dedxOROC2;
714 if (dedxOROC2QMax > 0) {
715 mAvgmdEdxRatioQMax[bin][3].addValue(dedxOROC2QMax);
718 float dedxOROC2QTot =
val.dedxValsqTot[
i].dedxOROC2;
719 if (dedxOROC2QTot > 0) {
720 mAvgmdEdxRatioQTot[bin][3].addValue(dedxOROC2QTot);
723 float dedxOROC3QMax =
val.dedxValsqMax[
i].dedxOROC3;
724 if (dedxOROC3QMax > 0) {
725 mAvgmdEdxRatioQMax[bin][4].addValue(dedxOROC3QMax);
728 float dedxOROC3QTot =
val.dedxValsqTot[
i].dedxOROC3;
729 if (dedxOROC3QTot > 0) {
730 mAvgmdEdxRatioQTot[bin][4].addValue(dedxOROC3QTot);
733 float nClITS =
val.nClITS[
i];
735 mITSProperties[bin][0].addValue(nClITS);
737 float chi2ITS =
val.chi2ITS[
i];
739 mITSProperties[bin][1].addValue(chi2ITS);
742 float sigmay2 =
val.sigmaY2[
i];
744 mSigmaYZ[bin][0].addValue(sigmay2);
746 float sigmaz2 =
val.sigmaZ2[
i];
748 mSigmaYZ[bin][1].addValue(sigmaz2);
751 float deltaP2 =
val.deltaP2[
i];
752 if (deltaP2 != -999) {
753 mITSTPCDeltaP[bin][0].addValue(deltaP2);
756 float deltaP3 =
val.deltaP3[
i];
757 if (deltaP3 != -999) {
758 mITSTPCDeltaP[bin][1].addValue(deltaP3);
761 float deltaP4 =
val.deltaP4[
i];
762 if (deltaP4 != -999) {
763 mITSTPCDeltaP[bin][2].addValue(deltaP4);
771 for (
int slice = 0; slice < nBins; ++slice) {
772 for (
int i = 0;
i < mAvgMeffA[slice].size(); ++
i) {
774 itsBuf.mITSTPC_A_MatchEff[slice] = mAvgMeffA[slice][
i].getMean();
775 itsBuf.mITSTPC_C_MatchEff[slice] = mAvgMeffC[slice][
i].getMean();
776 itsBuf.mITSTPC_A_Chi2Match[slice] = mAvgChi2MatchA[slice][
i].getMean();
777 itsBuf.mITSTPC_C_Chi2Match[slice] = mAvgChi2MatchC[slice][
i].getMean();
781 for (
int i = 0;
i < mMIPdEdxRatioQMaxC[slice].size(); ++
i) {
784 buff.mMIPdEdxRatioQMaxC[slice] = mMIPdEdxRatioQMaxC[slice][
i].getMean();
785 buff.mMIPdEdxRatioQTotA[slice] = mMIPdEdxRatioQTotA[slice][
i].getMean();
786 buff.mMIPdEdxRatioQTotC[slice] = mMIPdEdxRatioQTotC[slice][
i].getMean();
787 buff.mTPCChi2C[slice] = mTPCChi2C[slice][
i].getMean();
788 buff.mTPCChi2A[slice] = mTPCChi2A[slice][
i].getMean();
789 buff.mTPCNClC[slice] = mTPCNClC[slice][
i].getMean();
790 buff.mTPCNClA[slice] = mTPCNClA[slice][
i].getMean();
795 auto& logdEdxA = (
type == 0) ? mLogdEdxQMaxA : mLogdEdxQTotA;
799 buffer.mLogdEdx_A_RMS[slice] = logdEdxA[slice][0].getStdDev();
800 buffer.mLogdEdx_A_IROC_Median[slice] = logdEdxA[slice][1].getMedian();
801 buffer.mLogdEdx_A_IROC_RMS[slice] = logdEdxA[slice][1].getStdDev();
802 buffer.mLogdEdx_A_OROC1_Median[slice] = logdEdxA[slice][2].getMedian();
803 buffer.mLogdEdx_A_OROC1_RMS[slice] = logdEdxA[slice][2].getStdDev();
804 buffer.mLogdEdx_A_OROC2_Median[slice] = logdEdxA[slice][3].getMedian();
805 buffer.mLogdEdx_A_OROC2_RMS[slice] = logdEdxA[slice][3].getStdDev();
806 buffer.mLogdEdx_A_OROC3_Median[slice] = logdEdxA[slice][4].getMedian();
807 buffer.mLogdEdx_A_OROC3_RMS[slice] = logdEdxA[slice][4].getStdDev();
809 auto& logdEdxC = (
type == 0) ? mLogdEdxQMaxC : mLogdEdxQTotC;
810 buffer.mLogdEdx_C_Median[slice] = logdEdxC[slice][0].getMedian();
811 buffer.mLogdEdx_C_RMS[slice] = logdEdxC[slice][0].getStdDev();
812 buffer.mLogdEdx_C_IROC_Median[slice] = logdEdxC[slice][1].getMedian();
813 buffer.mLogdEdx_C_IROC_RMS[slice] = logdEdxC[slice][1].getStdDev();
814 buffer.mLogdEdx_C_OROC1_Median[slice] = logdEdxC[slice][2].getMedian();
815 buffer.mLogdEdx_C_OROC1_RMS[slice] = logdEdxC[slice][2].getStdDev();
816 buffer.mLogdEdx_C_OROC2_Median[slice] = logdEdxC[slice][3].getMedian();
817 buffer.mLogdEdx_C_OROC2_RMS[slice] = logdEdxC[slice][3].getStdDev();
818 buffer.mLogdEdx_C_OROC3_Median[slice] = logdEdxC[slice][4].getMedian();
819 buffer.mLogdEdx_C_OROC3_RMS[slice] = logdEdxC[slice][4].getStdDev();
825 mBufferDCA.
mITS_A_NCl_RMS[slice] = mITSPropertiesA[slice][0].getStdDev();
830 mBufferDCA.
mITS_C_NCl_RMS[slice] = mITSPropertiesC[slice][0].getStdDev();
857 auto stop = timer::now();
858 std::chrono::duration<float>
time = stop - startTotal;
859 LOGP(info,
"Time series creation took {}",
time.count());
867 for (
auto& streamer : mStreamer) {
870 eos.services().get<
ControlService>().readyToQuit(QuitRequest::Me);
891 void reserve(
int n,
int type)
901 dedxRatioqTot.reserve(
n);
902 dedxRatioqMax.reserve(
n);
903 sqrtChi2TPC.reserve(
n);
907 chi2Match.reserve(
n);
909 dedxValsqTot.reserve(
n);
910 dedxValsqMax.reserve(
n);
918 }
else if (
type == 0) {
936 dedxRatioqTot.clear();
937 dedxRatioqMax.clear();
945 dedxValsqTot.clear();
946 dedxValsqMax.clear();
954 void emplace_back(
Side sideTmp,
int tglBinTmp,
int phiBinTmp,
int qPtBinTmp,
int multBinTmp,
float dcarTmp,
float dcazTmp,
float dcarWTmp,
float dedxRatioqTotTmp,
float dedxRatioqMaxTmp,
float sqrtChi2TPCTmp,
float nClTPCTmp,
o2::dataformats::GlobalTrackID::Source gIDTmp,
float chi2MatchTmp,
int hasITSTmp,
int nClITSTmp,
float chi2ITSTmp,
const ValsdEdx& dedxValsqTotTmp,
const ValsdEdx& dedxValsqMaxTmp,
float sigmaY2Tmp,
float sigmaZ2Tmp)
956 side.emplace_back(sideTmp);
957 tglBin.emplace_back(tglBinTmp);
958 phiBin.emplace_back(phiBinTmp);
959 qPtBin.emplace_back(qPtBinTmp);
960 multBin.emplace_back(multBinTmp);
961 dcar.emplace_back(dcarTmp);
962 dcaz.emplace_back(dcazTmp);
963 dcarW.emplace_back(dcarWTmp);
964 dedxRatioqTot.emplace_back(dedxRatioqTotTmp);
965 dedxRatioqMax.emplace_back(dedxRatioqMaxTmp);
966 sqrtChi2TPC.emplace_back(sqrtChi2TPCTmp);
967 nClTPC.emplace_back(nClTPCTmp);
968 chi2Match.emplace_back(chi2MatchTmp);
969 hasITS.emplace_back(hasITSTmp);
970 gID.emplace_back(gIDTmp);
971 dedxValsqMax.emplace_back(dedxValsqMaxTmp);
972 dedxValsqTot.emplace_back(dedxValsqTotTmp);
973 nClITS.emplace_back(nClITSTmp);
974 chi2ITS.emplace_back(chi2ITSTmp);
975 sigmaY2.emplace_back(sigmaY2Tmp);
976 sigmaZ2.emplace_back(sigmaZ2Tmp);
977 deltaP2.emplace_back(-999);
978 deltaP3.emplace_back(-999);
979 deltaP4.emplace_back(-999);
982 void setDeltaParam(
float deltaP2Tmp,
float deltaP3Tmp,
float deltaP4Tmp)
984 if (!deltaP2.empty()) {
985 deltaP2.back() = deltaP2Tmp;
986 deltaP3.back() = deltaP3Tmp;
987 deltaP4.back() = deltaP4Tmp;
991 void emplace_back_ITSTPC(
Side sideTmp,
int tglBinTmp,
int phiBinTmp,
int qPtBinTmp,
int multBinTmp,
float dcarTmp,
float dcazTmp,
float dcarWTmp,
float dedxRatioqTotTmp,
float dedxRatioqMaxTmp,
float sqrtChi2TPCTmp,
float nClTPCTmp,
float dcarCombTmp,
float dcazCombTmp)
993 side.emplace_back(sideTmp);
994 tglBin.emplace_back(tglBinTmp);
995 phiBin.emplace_back(phiBinTmp);
996 qPtBin.emplace_back(qPtBinTmp);
997 multBin.emplace_back(multBinTmp);
998 dcar.emplace_back(dcarTmp);
999 dcaz.emplace_back(dcazTmp);
1000 dcarW.emplace_back(dcarWTmp);
1001 dedxRatioqTot.emplace_back(dedxRatioqTotTmp);
1002 dedxRatioqMax.emplace_back(dedxRatioqMaxTmp);
1003 sqrtChi2TPC.emplace_back(sqrtChi2TPCTmp);
1004 nClTPC.emplace_back(nClTPCTmp);
1005 dcarcomb.emplace_back(dcarCombTmp);
1006 dcazcomb.emplace_back(dcazCombTmp);
1009 std::vector<Side>
side;
1010 std::vector<int> tglBin;
1011 std::vector<int> phiBin;
1012 std::vector<int> qPtBin;
1013 std::vector<int> multBin;
1014 std::vector<float> dcar;
1015 std::vector<float> dcaz;
1016 std::vector<float> dcarW;
1017 std::vector<bool> hasITS;
1018 std::vector<float> chi2Match;
1019 std::vector<float> dedxRatioqTot;
1020 std::vector<float> dedxRatioqMax;
1021 std::vector<float> sqrtChi2TPC;
1022 std::vector<float> nClTPC;
1023 std::vector<float> dcarcomb;
1024 std::vector<float> dcazcomb;
1025 std::vector<ValsdEdx> dedxValsqTot;
1026 std::vector<ValsdEdx> dedxValsqMax;
1027 std::vector<int> nClITS;
1028 std::vector<float> chi2ITS;
1029 std::vector<o2::dataformats::GlobalTrackID::Source> gID;
1030 std::vector<float> deltaP2;
1031 std::vector<float> deltaP3;
1032 std::vector<float> deltaP4;
1033 std::vector<float> sigmaY2;
1034 std::vector<float> sigmaZ2;
1036 std::shared_ptr<o2::base::GRPGeomRequest> mCCDBRequest;
1037 const bool mDisableWriter{
false};
1039 const bool mUnbinnedWriter{
false};
1040 const bool mTPCOnly{
false};
1041 std::shared_ptr<o2::globaltracking::DataRequest> mDataRequest;
1045 TimeSeriesITSTPC mBufferDCA;
1046 std::vector<std::array<RobustAverage, 3>> mAvgADCAr;
1047 std::vector<std::array<RobustAverage, 3>> mAvgCDCAr;
1048 std::vector<std::array<RobustAverage, 3>> mAvgADCAz;
1049 std::vector<std::array<RobustAverage, 3>> mAvgCDCAz;
1050 std::vector<std::array<RobustAverage, 2>> mMIPdEdxRatioQMaxA;
1051 std::vector<std::array<RobustAverage, 2>> mMIPdEdxRatioQMaxC;
1052 std::vector<std::array<RobustAverage, 2>> mMIPdEdxRatioQTotA;
1053 std::vector<std::array<RobustAverage, 2>> mMIPdEdxRatioQTotC;
1054 std::vector<std::array<RobustAverage, 2>> mTPCChi2A;
1055 std::vector<std::array<RobustAverage, 2>> mTPCChi2C;
1056 std::vector<std::array<RobustAverage, 2>> mTPCNClA;
1057 std::vector<std::array<RobustAverage, 2>> mTPCNClC;
1058 std::vector<std::array<RobustAverage, 3>> mAvgMeffA;
1059 std::vector<std::array<RobustAverage, 3>> mAvgMeffC;
1060 std::vector<std::array<RobustAverage, 3>> mAvgChi2MatchA;
1061 std::vector<std::array<RobustAverage, 3>> mAvgChi2MatchC;
1062 std::vector<std::array<RobustAverage, 10>> mLogdEdxQTotA;
1063 std::vector<std::array<RobustAverage, 10>> mLogdEdxQTotC;
1064 std::vector<std::array<RobustAverage, 10>> mLogdEdxQMaxA;
1065 std::vector<std::array<RobustAverage, 10>> mLogdEdxQMaxC;
1066 std::vector<std::array<RobustAverage, 2>> mITSPropertiesA;
1067 std::vector<std::array<RobustAverage, 2>> mITSPropertiesC;
1068 std::vector<std::array<RobustAverage, 3>> mITSTPCDeltaPA;
1069 std::vector<std::array<RobustAverage, 3>> mITSTPCDeltaPC;
1070 std::vector<std::array<RobustAverage, 2>> mSigmaYZA;
1071 std::vector<std::array<RobustAverage, 2>> mSigmaYZC;
1072 int mNMaxTracks{-1};
1077 float mCoarseStep{1};
1078 float mFineStep{0.005};
1081 float mRefXSec{108.475};
1083 float maxITSTPCDCAr{0.2};
1084 float maxITSTPCDCAz{10};
1085 float maxITSTPCDCAr_comb{0.2};
1086 float maxITSTPCDCAz_comb{0.2};
1087 gsl::span<const TPCClRefElem> mTPCTrackClIdx{};
1088 std::vector<std::array<FillVals, 2>> mBufferVals;
1089 uint32_t mFirstTFOrbit{0};
1090 float mTimeWindowMUS{50};
1092 std::vector<int> mNTracksWindow;
1093 std::vector<int> mNearestVtxTPC;
1095 float mVDrift{2.64};
1096 float mMaxSnp{0.85};
1100 int mMultMax{80000};
1102 int mMinTracksPerVertex{5};
1103 float mMaxdEdxRatio{0.3};
1104 float mMaxdEdxRegionRatio{0.5};
1105 float mSamplingFactor{0.1};
1106 bool mSampleTsallis{
false};
1107 std::vector<std::mt19937> mGenerator;
1108 std::vector<std::unique_ptr<o2::utils::TreeStreamRedirector>> mStreamer;
1109 float mXOuterMatching{60};
1110 bool mUseMinBiasTrigger{
false};
1113 int mMaxOccupancyHistBins{912};
1114 PressureTemperatureHelper mPTHelper;
1117 bool acceptTrack(
const TrackTPC& track)
const {
return std::abs(track.getTgl()) < mMaxTgl; }
1119 bool checkTrack(
const TrackTPC& track)
const
1121 const bool isGoodTrack = ((track.getNClusters() < mMinNCl) || (track.getP() < mMinMom)) ? false :
true;
1125 void fillDCA(
const gsl::span<const TrackTPC> tracksTPC,
const gsl::span<const o2::dataformats::TrackTPCITS> tracksITSTPC,
const gsl::span<const o2::dataformats::PrimaryVertex> vertices,
const int iTrk,
const int iThread,
const std::unordered_map<
unsigned int, std::array<int, 2>>& indicesITSTPC,
const gsl::span<const o2::its::TrackITS> tracksITS,
const std::vector<std::tuple<int, float, float, o2::track::TrackLTIntegral, double, float, unsigned int>>& idxTPCTrackToTOFCluster,
const gsl::span<const o2::tof::Cluster> tofClusters)
1127 const auto& trackFull = tracksTPC[iTrk];
1128 const bool isGoodTrack = checkTrack(trackFull);
1131 bool minBiasOk =
false;
1132 const float factorMinBias = 0.1 * mSamplingFactor;
1133 if (mUnbinnedWriter && mUseMinBiasTrigger) {
1134 std::uniform_real_distribution<>
distr(0., 1.);
1135 if (
distr(mGenerator[iThread]) < factorMinBias) {
1141 if (!isGoodTrack && !minBiasOk) {
1151 std::array<float, 2> dca;
1155 if (!propagator->PropagateToXBxByBz(track, mXCoarse, mMaxSnp, mCoarseStep, mMatType)) {
1160 if (!propagator->propagateToDCA(refPoint, track, propagator->getNominalBz(), mFineStep, mMatType, &dca)) {
1167 if (!propagator->propagateTo(trackTmp, mRefXSec,
false, mMaxSnp, mCoarseStep, mMatType)) {
1171 const int tglBin = mTglBins * std::abs(trackTmp.getTgl()) / mMaxTgl + mPhiBins;
1174 const int offsQPtBin = mPhiBins + mTglBins;
1175 const int qPtBin = offsQPtBin + mQPtBins * (trackTmp.getQ2Pt() + mMaxQPt) / (2 * mMaxQPt);
1176 const int localMult = mNTracksWindow[iTrk];
1178 const int offsMult = offsQPtBin + mQPtBins;
1179 const int multBin = offsMult + mMultBins * localMult / mMultMax;
1180 const int nBins = getNBins();
1182 if ((phiBin < 0) || (phiBin > mPhiBins) || (tglBin < mPhiBins) || (tglBin > offsQPtBin) || (qPtBin < offsQPtBin) || (qPtBin > offsMult) || (multBin < offsMult) || (multBin > offsMult + mMultBins)) {
1190 auto it = indicesITSTPC.find(iTrk);
1191 const auto idxITSTPC = (it != indicesITSTPC.end()) ? (it->second) : std::array<int, 2>{-1, -1};
1194 const auto vertex = (idxITSTPC.back() != -1) ? vertices[idxITSTPC.back()] : ((mNearestVtxTPC[iTrk] != -1) ? vertices[mNearestVtxTPC[iTrk]] :
o2::dataformats::PrimaryVertex{});
1197 const float signSide = trackFull.hasCSideClustersOnly() ? -1 : 1;
1198 const float dcaZFromDeltaTime = (
vertex.getTimeStamp().getTimeStamp() == 0) ? 0 : (
o2::tpc::ParameterElectronics::Instance().ZbinWidth * trackFull.getTime0() -
vertex.
getTimeStamp().
getTimeStamp()) * mVDrift + signSide *
vertex.getZ();
1203 const float div = (resCl * track.getPt());
1208 const float fB = 0.2 / div;
1209 const float fA = 0.15 + 0.15;
1210 const float dcarW = 1. / std::sqrt(fA * fA + fB * fB);
1213 const bool hasITSTPC = idxITSTPC.front() != -1;
1216 const float chi2 = hasITSTPC ? tracksITSTPC[idxITSTPC.front()].getChi2Match() : -1;
1220 const auto src = tracksITSTPC[idxITSTPC.front()].getRefITS().getSource();
1228 const float chi2Match = (chi2 > 0) ? std::sqrt(chi2) : -1;
1229 const float sqrtChi2TPC = (trackFull.getChi2() > 0) ? std::sqrt(trackFull.getChi2()) : 0;
1230 const float nClTPC = trackFull.getNClusters();
1233 const float dedxRatioqTot = (trackFull.getdEdx().dEdxTotTPC > 0) ? (mMIPdEdx / trackFull.getdEdx().dEdxTotTPC) : -1;
1234 const float dedxRatioqMax = (trackFull.getdEdx().dEdxMaxTPC > 0) ? (mMIPdEdx / trackFull.getdEdx().dEdxMaxTPC) : -1;
1236 const auto dedxQTotVars = getdEdxVars(0, trackFull);
1237 const auto dedxQMaxVars = getdEdxVars(1, trackFull);
1241 const bool idxITSCheck = (idxITSTrack != -1);
1243 const int nClITS = idxITSCheck ? tracksITS[idxITSTrack].getNClusters() : -1;
1244 float chi2ITS = idxITSCheck ? tracksITS[idxITSTrack].getChi2() : -1;
1245 if ((chi2ITS > 0) && (nClITS > 0)) {
1246 chi2ITS = std::sqrt(chi2ITS / nClITS);
1248 sigmaY2 = track.getSigmaY2();
1249 sigmaZ2 = track.getSigmaZ2();
1251 if (trackFull.hasCSideClustersOnly()) {
1252 mBufferVals[iThread].front().emplace_back(
Side::C, tglBin, phiBin, qPtBin, multBin, dca[0], dcaZFromDeltaTime, dcarW, dedxRatioqTot, dedxRatioqMax, sqrtChi2TPC, nClTPC, gID, chi2Match, hasITSTPC, nClITS, chi2ITS, dedxQTotVars, dedxQMaxVars, sigmaY2, sigmaZ2);
1253 }
else if (trackFull.hasASideClustersOnly()) {
1254 mBufferVals[iThread].front().emplace_back(
Side::A, tglBin, phiBin, qPtBin, multBin, dca[0], dcaZFromDeltaTime, dcarW, dedxRatioqTot, dedxRatioqMax, sqrtChi2TPC, nClTPC, gID, chi2Match, hasITSTPC, nClITS, chi2ITS, dedxQTotVars, dedxQMaxVars, sigmaY2, sigmaZ2);
1260 std::array<float, 2> dcaITSTPC{0, 0};
1261 float deltaP0 = -999;
1262 float deltaP1 = -999;
1263 float deltaP2 = -999;
1264 float deltaP3 = -999;
1265 float deltaP4 = -999;
1266 float phiITSTPCAtVertex = -999;
1267 float dcaTPCAtVertex = -999;
1270 auto trackITSTPCTmp = tracksITSTPC[idxITSTPC.front()];
1272 if (propagator->propagateToDCA(refPoint, trackITSTPCTmp, propagator->getNominalBz(), mFineStep, mMatType, &dcaITSTPC)) {
1274 if ((std::abs(dcaITSTPC[0]) < maxITSTPCDCAr) && (std::abs(dcaITSTPC[1]) < maxITSTPCDCAz)) {
1277 const bool contributeToVertex = (idxITSTPC.back() != -1);
1278 std::array<float, 2> dcaITSTPCTmp{-1, -1};
1280 if (contributeToVertex) {
1281 if (propagator->propagateToDCA(
vertex.getXYZ(), trackITSTPCTmp, propagator->getNominalBz(), mFineStep, mMatType, &dcaITSTPCTmp)) {
1282 phiITSTPCAtVertex = trackITSTPCTmp.getPhi();
1283 dcaITSTPC = dcaITSTPCTmp;
1287 std::array<float, 2> dcaTPCTmp{-1, -1};
1288 if (propagator->propagateToDCA(
vertex.getXYZ(), track, propagator->getNominalBz(), mFineStep, mMatType, &dcaTPCTmp)) {
1289 dcaTPCAtVertex = dcaTPCTmp[0];
1294 if ((std::abs(dcaITSTPCTmp[0]) < maxITSTPCDCAr_comb) && (std::abs(dcaITSTPCTmp[1]) < maxITSTPCDCAz_comb)) {
1296 if (idxITSTrack >= 0 && track.rotate(tracksITS[idxITSTrack].getAlpha()) && propagator->propagateTo(track, trackITSTPCTmp.getX(),
false, mMaxSnp, mFineStep, mMatType)) {
1298 const bool propITSOk = propagator->propagateTo(trackITS, trackITSTPCTmp.getX(),
false, mMaxSnp, mFineStep, mMatType);
1300 deltaP0 = track.getParam(0) - trackITS.getParam(0);
1301 deltaP1 = track.getParam(1) - trackITS.getParam(1);
1302 deltaP2 = track.getParam(2) - trackITS.getParam(2);
1303 deltaP3 = track.getParam(3) - trackITS.getParam(3);
1304 deltaP4 = track.getParam(4) - trackITS.getParam(4);
1305 mBufferVals[iThread].front().setDeltaParam(deltaP2, deltaP3, deltaP4);
1309 dcaITSTPCTmp[0] = -1;
1310 dcaITSTPCTmp[1] = -1;
1314 if (trackFull.hasCSideClustersOnly()) {
1315 mBufferVals[iThread].back().emplace_back_ITSTPC(
Side::C, tglBin, phiBin, qPtBin, multBin, dcaTPCAtVertex, dcaZFromDeltaTime, dcarW, dedxRatioqTot, dedxRatioqMax, sqrtChi2TPC, nClTPC, dcaITSTPCTmp[0], dcaITSTPCTmp[1]);
1316 }
else if (trackFull.hasASideClustersOnly()) {
1317 mBufferVals[iThread].back().emplace_back_ITSTPC(
Side::A, tglBin, phiBin, qPtBin, multBin, dcaTPCAtVertex, dcaZFromDeltaTime, dcarW, dedxRatioqTot, dedxRatioqMax, sqrtChi2TPC, nClTPC, dcaITSTPCTmp[0], dcaITSTPCTmp[1]);
1324 if (mUnbinnedWriter && mStreamer[iThread]) {
1325 const float factorPt = mSamplingFactor;
1326 bool writeData =
true;
1328 if (mSampleTsallis) {
1329 std::uniform_real_distribution<>
distr(0., 1.);
1332 if (writeData || minBiasOk) {
1333 auto clusterMask = makeClusterBitMask(trackFull);
1334 const auto& trkOrig = tracksTPC[iTrk];
1335 const bool isNearestVtx = (idxITSTPC.back() == -1);
1336 const float mx_ITS = hasITSTPC ? tracksITSTPC[idxITSTPC.front()].getX() : -1;
1337 const float pt_ITS = hasITSTPC ? tracksITSTPC[idxITSTPC.front()].getQ2Pt() : -1;
1338 const float chi2match_ITSTPC = hasITSTPC ? tracksITSTPC[idxITSTPC.front()].getChi2Match() : -1;
1339 const int nClITS = idxITSCheck ? tracksITS[idxITSTrack].getNClusters() : -1;
1340 const int chi2ITS = idxITSCheck ? tracksITS[idxITSTrack].getChi2() : -1;
1342 if (trackFull.hasASideClustersOnly()) {
1344 }
else if (trackFull.hasCSideClustersOnly()) {
1349 bool hasTOFCluster = (std::get<0>(idxTPCTrackToTOFCluster[iTrk]) != -1);
1350 auto tofCl = hasTOFCluster ? tofClusters[std::get<0>(idxTPCTrackToTOFCluster[iTrk])] :
o2::tof::Cluster();
1352 float tpcYDeltaAtTOF = -999;
1353 float tpcZDeltaAtTOF = -999;
1354 if (hasTOFCluster) {
1356 if (trackTmpOut.rotate(
o2::math_utils::sector2Angle(tofCl.getSector())) && propagator->propagateTo(trackTmpOut, tofCl.getX(),
false, mMaxSnp, mFineStep, mMatType)) {
1357 tpcYDeltaAtTOF = trackTmpOut.getY() - tofCl.getY();
1363 float deltaTPCParamInOutTgl = trackFull.getTgl() - trackFull.getParamOut().getTgl();
1364 float deltaTPCParamInOutQPt = trackFull.getQ2Pt() - trackFull.getParamOut().getQ2Pt();
1367 float deltaP0OuterITS = -999;
1368 float deltaP1OuterITS = -999;
1369 float deltaP2OuterITS = -999;
1370 float deltaP3OuterITS = -999;
1371 float deltaP4OuterITS = -999;
1374 const bool propITSOk = propagator->propagateTo(trackTmpOut, mXOuterMatching,
false, mMaxSnp, mCoarseStep, mMatType);
1375 if (propITSOk && trackTmp.rotate(trackTmpOut.getAlpha())) {
1376 const bool propTPCOk = propagator->propagateTo(trackTmp, mXOuterMatching,
false, mMaxSnp, mCoarseStep, mMatType);
1379 deltaP0OuterITS = trackTmp.getParam(0) - trackTmpOut.getParam(0);
1380 deltaP1OuterITS = trackTmp.getParam(1) - trackTmpOut.getParam(2);
1381 deltaP2OuterITS = trackTmp.getParam(2) - trackTmpOut.getParam(2);
1382 deltaP3OuterITS = trackTmp.getParam(3) - trackTmpOut.getParam(3);
1383 deltaP4OuterITS = trackTmp.getParam(4) - trackTmpOut.getParam(4);
1387 const int triggerMask = 0x1 * minBiasOk + 0x2 * writeData;
1389 float deltaP2ConstrVtx = -999;
1390 float deltaP3ConstrVtx = -999;
1391 float deltaP4ConstrVtx = -999;
1394 float covTPCConstrVtxP2 = -999;
1395 float covTPCConstrVtxP3 = -999;
1396 float covTPCConstrVtxP4 = -999;
1399 float covITSTPCConstrVtxP2 = -999;
1400 float covITSTPCConstrVtxP3 = -999;
1401 float covITSTPCConstrVtxP4 = -999;
1403 float covTPCAtVertex0 = -999;
1404 float covTPCAtVertex1 = -999;
1406 const bool contributeToVertex = (idxITSTPC.back() != -1);
1407 if (hasITSTPC && contributeToVertex) {
1409 std::array<float, 2> dcaITSTPCTmp{-1, -1};
1410 if (propagator->propagateToDCA(
vertex.getXYZ(), trackITSTPCTmp, propagator->getNominalBz(), mFineStep, mMatType, &dcaITSTPCTmp)) {
1412 if (trackTPC.rotate(trackITSTPCTmp.getAlpha()) && propagator->propagateTo(trackTPC, trackITSTPCTmp.getX(),
false, mMaxSnp, mFineStep, mMatType)) {
1414 covTPCAtVertex0 = trackTPC.getCovarElem(0, 0);
1415 covTPCAtVertex1 = trackTPC.getCovarElem(1, 1);
1418 deltaP2ConstrVtx = trackTPC.getParam(2) - trackITSTPCTmp.getParam(2);
1419 deltaP3ConstrVtx = trackTPC.getParam(3) - trackITSTPCTmp.getParam(3);
1420 deltaP4ConstrVtx = trackTPC.getParam(4) - trackITSTPCTmp.getParam(4);
1421 covTPCConstrVtxP2 = trackTPC.getCovarElem(2, 2);
1422 covTPCConstrVtxP3 = trackTPC.getCovarElem(3, 3);
1423 covTPCConstrVtxP4 = trackTPC.getCovarElem(4, 4);
1424 covITSTPCConstrVtxP2 = trackITSTPCTmp.getCovarElem(2, 2);
1425 covITSTPCConstrVtxP3 = trackITSTPCTmp.getCovarElem(3, 3);
1426 covITSTPCConstrVtxP4 = trackITSTPCTmp.getCovarElem(4, 4);
1430 double vertexTime =
vertex.getTimeStamp().getTimeStamp();
1431 double trackTime0 = trackFull.getTime0();
1432 *mStreamer[iThread] <<
"treeTimeSeries"
1434 <<
"triggerMask=" << triggerMask
1435 <<
"factorMinBias=" << factorMinBias
1436 <<
"factorPt=" << factorPt
1438 <<
"dcar_tpc_vertex=" << dcaTPCAtVertex
1439 <<
"dcar_tpc=" << dca[0]
1440 <<
"dcaz_tpc=" << dca[1]
1441 <<
"dcar_itstpc=" << dcaITSTPC[0]
1442 <<
"dcaz_itstpc=" << dcaITSTPC[1]
1443 <<
"dcarW=" << dcarW
1444 <<
"dcaZFromDeltaTime=" << dcaZFromDeltaTime
1445 <<
"hasITSTPC=" << hasITSTPC
1447 <<
"vertex_x=" <<
vertex.getX()
1448 <<
"vertex_y=" <<
vertex.getY()
1449 <<
"vertex_z=" <<
vertex.getZ()
1450 <<
"vertex_time=" <<
vertex.getTimeStamp().getTimeStamp()
1451 <<
"vertex_nContributors=" <<
vertex.getNContributors()
1452 <<
"isNearestVertex=" << isNearestVtx
1454 <<
"pt=" << trkOrig.getPt()
1455 <<
"qpt_ITSTPC=" << pt_ITS
1456 <<
"tpc_timebin=" << trkOrig.getTime0()
1457 <<
"qpt=" << trkOrig.getParam(4)
1458 <<
"ncl=" << trkOrig.getNClusters()
1459 <<
"ncl_shared=" << trkOrig.getNClusters()
1460 <<
"tgl=" << trkOrig.getTgl()
1461 <<
"side_type=" << typeSide
1462 <<
"phi=" << trkOrig.getPhi()
1463 <<
"clusterMask=" << clusterMask
1464 <<
"dedxTPC=" << trkOrig.getdEdx()
1465 <<
"chi2=" << trkOrig.getChi2()
1466 <<
"mX=" << trkOrig.getX()
1467 <<
"mX_ITS=" << mx_ITS
1468 <<
"nClITS=" << nClITS
1469 <<
"chi2ITS=" << chi2ITS
1470 <<
"chi2match_ITSTPC=" << chi2match_ITSTPC
1471 <<
"PID=" << trkOrig.getPID().getID()
1473 <<
"covTPCAtVertex0=" << covTPCAtVertex0
1474 <<
"covTPCAtVertex1=" << covTPCAtVertex1
1476 <<
"covTPCConstrVtxP2=" << covTPCConstrVtxP2
1477 <<
"covTPCConstrVtxP3=" << covTPCConstrVtxP3
1478 <<
"covTPCConstrVtxP4=" << covTPCConstrVtxP4
1480 <<
"covITSTPCConstrVtxP2=" << covITSTPCConstrVtxP2
1481 <<
"covITSTPCConstrVtxP3=" << covITSTPCConstrVtxP3
1482 <<
"covITSTPCConstrVtxP4=" << covITSTPCConstrVtxP4
1484 <<
"deltaP2ConstrVtx=" << deltaP2ConstrVtx
1485 <<
"deltaP3ConstrVtx=" << deltaP3ConstrVtx
1486 <<
"deltaP4ConstrVtx=" << deltaP4ConstrVtx
1488 <<
"deltaPar0=" << deltaP0
1489 <<
"deltaPar1=" << deltaP1
1490 <<
"deltaPar2=" << deltaP2
1491 <<
"deltaPar3=" << deltaP3
1492 <<
"deltaPar4=" << deltaP4
1493 <<
"sigmaY2=" << sigmaY2
1494 <<
"sigmaZ2=" << sigmaZ2
1496 <<
"mult=" << mNTracksWindow[iTrk]
1497 <<
"time_window_mult=" << mTimeWindowMUS
1498 <<
"firstTFOrbit=" << mFirstTFOrbit
1499 <<
"timeMS=" << mTimeMS
1501 <<
"mVDrift=" << mVDrift
1502 <<
"its_flag=" <<
int(gID)
1503 <<
"sqrtChi2Match=" << chi2Match
1505 <<
"tpcYDeltaAtTOF=" << tpcYDeltaAtTOF
1506 <<
"tpcZDeltaAtTOF=" << tpcZDeltaAtTOF
1507 <<
"mDXatTOF=" << std::get<1>(idxTPCTrackToTOFCluster[iTrk])
1508 <<
"mDZatTOF=" << std::get<2>(idxTPCTrackToTOFCluster[iTrk])
1509 <<
"mTOFLength=" << std::get<3>(idxTPCTrackToTOFCluster[iTrk])
1510 <<
"mTOFSignal=" << std::get<4>(idxTPCTrackToTOFCluster[iTrk])
1511 <<
"mDeltaTTOFTPC=" << std::get<5>(idxTPCTrackToTOFCluster[iTrk])
1512 <<
"vertexTime=" << vertexTime
1513 <<
"trackTime0=" << trackTime0
1514 <<
"TOFmask=" << std::get<6>(idxTPCTrackToTOFCluster[iTrk])
1516 <<
"deltaTPCParamInOutTgl=" << deltaTPCParamInOutTgl
1517 <<
"deltaTPCParamInOutQPt=" << deltaTPCParamInOutQPt
1519 <<
"deltaP0OuterITS=" << deltaP0OuterITS
1520 <<
"deltaP1OuterITS=" << deltaP1OuterITS
1521 <<
"deltaP2OuterITS=" << deltaP2OuterITS
1522 <<
"deltaP3OuterITS=" << deltaP3OuterITS
1523 <<
"deltaP4OuterITS=" << deltaP4OuterITS
1524 <<
"mXOuterMatching=" << mXOuterMatching
1526 <<
"phiITSTPCAtVertex=" << phiITSTPCAtVertex
1534 mBufferDCA.mTSTPC.setStartTime(mTimeMS);
1535 mBufferDCA.mTSITSTPC.setStartTime(mTimeMS);
1538 if (!mDisableWriter) {
1546 void findNearesVertex(
const gsl::span<const TrackTPC> tracksTPC,
const gsl::span<const o2::dataformats::PrimaryVertex> vertices)
1549 const int nVertices = vertices.size();
1551 const int nTracks = tracksTPC.size();
1552 mNearestVtxTPC.clear();
1553 mNearestVtxTPC.resize(nTracks);
1557 std::fill(mNearestVtxTPC.begin(), mNearestVtxTPC.end(), -1);
1562 std::vector<float> times_vtx;
1563 times_vtx.reserve(nVertices);
1564 for (
const auto& vtx : vertices) {
1565 times_vtx.emplace_back(vtx.getTimeStamp().getTimeStamp());
1569 auto myThread = [&](
int iThread) {
1570 for (
int i = iThread;
i < nTracks;
i += mNThreads) {
1572 const auto lower = std::lower_bound(times_vtx.begin(), times_vtx.end(), timeTrack);
1573 int closestVtx = std::distance(times_vtx.begin(), lower);
1575 if (closestVtx == nVertices) {
1577 }
else if (closestVtx > 0) {
1579 double diff1 = std::abs(timeTrack - *lower);
1580 double diff2 = std::abs(timeTrack - *(lower - 1));
1581 if (diff2 < diff1) {
1585 mNearestVtxTPC[
i] = closestVtx;
1589 std::vector<std::thread> threads(mNThreads);
1590 for (
int i = 0;
i < mNThreads;
i++) {
1591 threads[
i] = std::thread(myThread,
i);
1595 for (
auto& th : threads) {
1601 std::vector<bool> makeClusterBitMask(
const TrackTPC& track)
const
1604 const int nCl = track.getNClusterReferences();
1605 for (
int j = 0;
j < nCl; ++
j) {
1607 uint32_t clusterIndexInRow;
1608 track.getClusterReference(mTPCTrackClIdx,
j, sector,
padrow, clusterIndexInRow);
1609 tpcClusterMask[
padrow] =
true;
1611 return tpcClusterMask;
1615 void findNNeighbourTracks(
const gsl::span<const TrackTPC> tracksTPC)
1618 const float windowTimeBins = mTimeWindowMUS / tpcTBinMUS;
1621 std::vector<float>
times;
1622 const int nTracks = tracksTPC.size();
1623 times.reserve(nTracks);
1624 for (
const auto& trk : tracksTPC) {
1625 times.emplace_back(trk.getTime0());
1629 mNTracksWindow.clear();
1630 mNTracksWindow.resize(nTracks);
1633 auto myThread = [&](
int iThread) {
1634 for (
int i = iThread;
i < nTracks;
i += mNThreads) {
1635 const float t0 = tracksTPC[
i].getTime0();
1636 const auto upperV0 = std::upper_bound(
times.begin(),
times.end(),
t0 + windowTimeBins);
1637 const auto lowerV0 = std::lower_bound(
times.begin(),
times.end(),
t0 - windowTimeBins);
1638 const int nMult = std::distance(
times.begin(), upperV0) - std::distance(
times.begin(), lowerV0);
1639 mNTracksWindow[
i] = nMult;
1643 std::vector<std::thread> threads(mNThreads);
1644 for (
int i = 0;
i < mNThreads;
i++) {
1645 threads[
i] = std::thread(myThread,
i);
1649 for (
auto& th : threads) {
1654 std::unordered_map<unsigned int, int> processVertices(
const gsl::span<const o2::dataformats::PrimaryVertex> vertices,
const gsl::span<const o2::dataformats::VtxTrackIndex> primMatchedTracks,
const gsl::span<const o2::dataformats::VtxTrackRef> primMatchedTracksRef,
const RecoContainer& recoData)
1657 std::unordered_map<unsigned int, int> indicesITSTPC_vtx;
1659 std::unordered_map<int, int> nContributors_ITS;
1660 std::unordered_map<int, int> nContributors_ITSTPC;
1663 if (!vertices.empty()) {
1664 for (
const auto&
ref : primMatchedTracksRef) {
1666 const std::array<TrkSrc, 5>
sources = {TrkSrc::ITSTPC, TrkSrc::ITSTPCTRD, TrkSrc::ITSTPCTOF, TrkSrc::ITSTPCTRDTOF, TrkSrc::ITS};
1668 const int vID =
ref.getVtxID();
1669 const int firstEntry =
ref.getFirstEntryOfSource(
source);
1670 const int nEntries =
ref.getEntriesOfSource(
source);
1672 for (
int i = 0;
i < nEntries; ++
i) {
1673 const auto& matchedTrk = primMatchedTracks[
i + firstEntry];
1674 bool pvCont = matchedTrk.isPVContributor();
1678 if (refITSTPC.isIndexSet()) {
1679 indicesITSTPC_vtx[refITSTPC] = vID;
1680 ++nContributors_ITSTPC[vID];
1682 ++nContributors_ITS[vID];
1691 std::array<RobustAverage, 4> avgVtxITS;
1692 std::array<RobustAverage, 4> avgVtxITSTPC;
1693 for (
int i = 0;
i < avgVtxITS.size(); ++
i) {
1694 avgVtxITS[
i].reserve(vertices.size());
1695 avgVtxITSTPC[
i].reserve(vertices.size());
1697 for (
int ivtx = 0; ivtx < vertices.size(); ++ivtx) {
1698 const auto& vtx = vertices[ivtx];
1699 const float itsFrac = nContributors_ITS[ivtx] /
static_cast<float>(vtx.getNContributors());
1700 const float itstpcFrac = (nContributors_ITS[ivtx] + nContributors_ITSTPC[ivtx]) /
static_cast<float>(vtx.getNContributors());
1702 const float itsMin = 0.2;
1703 const float itsMax = 0.8;
1704 if ((itsFrac > itsMin) && (itsFrac < itsMax)) {
1705 avgVtxITS[0].addValue(vtx.getX());
1706 avgVtxITS[1].addValue(vtx.getY());
1707 avgVtxITS[2].addValue(vtx.getZ());
1708 avgVtxITS[3].addValue(vtx.getNContributors());
1711 const float itstpcMax = 0.95;
1712 if (itstpcFrac < itstpcMax) {
1713 avgVtxITSTPC[0].addValue(vtx.getX());
1714 avgVtxITSTPC[1].addValue(vtx.getY());
1715 avgVtxITSTPC[2].addValue(vtx.getZ());
1716 avgVtxITSTPC[3].addValue(vtx.getNContributors());
1721 mBufferDCA.nPrimVertices_ITS.front() = avgVtxITS[3].getValues().size();
1722 mBufferDCA.nVertexContributors_ITS_Median.front() = avgVtxITS[3].getMedian();
1723 mBufferDCA.nVertexContributors_ITS_RMS.front() = avgVtxITS[3].getStdDev();
1724 mBufferDCA.vertexX_ITS_Median.front() = avgVtxITS[0].getMedian();
1725 mBufferDCA.vertexY_ITS_Median.front() = avgVtxITS[1].getMedian();
1726 mBufferDCA.vertexZ_ITS_Median.front() = avgVtxITS[2].getMedian();
1727 mBufferDCA.vertexX_ITS_RMS.front() = avgVtxITS[0].getStdDev();
1728 mBufferDCA.vertexY_ITS_RMS.front() = avgVtxITS[1].getStdDev();
1729 mBufferDCA.vertexZ_ITS_RMS.front() = avgVtxITS[2].getStdDev();
1732 mBufferDCA.nPrimVertices_ITSTPC.front() = avgVtxITSTPC[3].getValues().size();
1733 mBufferDCA.nVertexContributors_ITSTPC_Median.front() = avgVtxITSTPC[3].getMedian();
1734 mBufferDCA.nVertexContributors_ITSTPC_RMS.front() = avgVtxITSTPC[3].getStdDev();
1735 mBufferDCA.vertexX_ITSTPC_Median.front() = avgVtxITSTPC[0].getMedian();
1736 mBufferDCA.vertexY_ITSTPC_Median.front() = avgVtxITSTPC[1].getMedian();
1737 mBufferDCA.vertexZ_ITSTPC_Median.front() = avgVtxITSTPC[2].getMedian();
1738 mBufferDCA.vertexX_ITSTPC_RMS.front() = avgVtxITSTPC[0].getStdDev();
1739 mBufferDCA.vertexY_ITSTPC_RMS.front() = avgVtxITSTPC[1].getStdDev();
1740 mBufferDCA.vertexZ_ITSTPC_RMS.front() = avgVtxITSTPC[2].getStdDev();
1743 RobustAverage avg(vertices.size(),
false);
1744 for (
const auto& vtx : vertices) {
1745 if (vtx.getNContributors() > mMinTracksPerVertex) {
1747 avg.addValue(std::sqrt(vtx.getNContributors()));
1752 int sizeQ = mBufferDCA.nVertexContributors_Quantiles.size();
1753 const int nBinsQ = 20;
1754 if (sizeQ >= (nBinsQ + 3)) {
1755 for (
int iq = 0; iq < nBinsQ; ++iq) {
1756 const float quantile = (iq + 1) /
static_cast<float>(nBinsQ);
1757 const float val = avg.getQuantile(quantile, 1);
1758 mBufferDCA.nVertexContributors_Quantiles[iq] =
val *
val;
1760 const float tr0 = avg.getTrunctedMean(0.05, 0.95);
1761 const float tr1 = avg.getTrunctedMean(0.1, 0.9);
1762 const float tr2 = avg.getTrunctedMean(0.2, 0.8);
1763 mBufferDCA.nVertexContributors_Quantiles[sizeQ - 3] = tr0 * tr0;
1764 mBufferDCA.nVertexContributors_Quantiles[sizeQ - 2] = tr1 * tr1;
1765 mBufferDCA.nVertexContributors_Quantiles[sizeQ - 1] = tr2 * tr2;
1767 mBufferDCA.nPrimVertices.front() = vertices.size();
1769 return indicesITSTPC_vtx;
1773 int getNBins()
const {
return mBufferDCA.mTSTPC.getNBins(); }
1775 ValsdEdx getdEdxVars(
bool useQMax,
const TrackTPC& track)
const
1777 const float dedx = useQMax ? track.getdEdx().dEdxMaxTPC : track.getdEdx().dEdxTotTPC;
1781 if (std::abs(dedxNorm) > mMaxdEdxRatio) {
1786 float dedxIROC = -1;
1787 float dedxOROC1 = -1;
1788 float dedxOROC2 = -1;
1789 float dedxOROC3 = -1;
1791 dedxIROC = useQMax ? track.getdEdx().dEdxMaxIROC : track.getdEdx().dEdxTotIROC;
1792 dedxOROC1 = useQMax ? track.getdEdx().dEdxMaxOROC1 : track.getdEdx().dEdxTotOROC1;
1793 dedxOROC2 = useQMax ? track.getdEdx().dEdxMaxOROC2 : track.getdEdx().dEdxTotOROC2;
1794 dedxOROC3 = useQMax ? track.getdEdx().dEdxMaxOROC3 : track.getdEdx().dEdxTotOROC3;
1799 dedxIROC = (dedxIROC > 0) ? std::log(dedxIROC) : -1;
1800 dedxOROC1 = (dedxOROC1 > 0) ? std::log(dedxOROC1) : -1;
1801 dedxOROC2 = (dedxOROC2 > 0) ? std::log(dedxOROC2) : -1;
1802 dedxOROC3 = (dedxOROC3 > 0) ? std::log(dedxOROC3) : -1;
1805 if (std::abs(dedxIROC) > mMaxdEdxRegionRatio) {
1808 if (std::abs(dedxOROC1) > mMaxdEdxRegionRatio) {
1811 if (std::abs(dedxOROC2) > mMaxdEdxRegionRatio) {
1814 if (std::abs(dedxOROC3) > mMaxdEdxRegionRatio) {
1818 return ValsdEdx{dedxNorm, dedxIROC, dedxOROC1, dedxOROC2, dedxOROC3};