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author
Ionut Cristian Arsene
committed
clang fixes
1 parent 38abf75 commit e8b8dd4

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5 files changed

+110
-108
lines changed

5 files changed

+110
-108
lines changed

‎PWGDQ/Core/VarManager.cxx‎

Lines changed: 90 additions & 88 deletions
Original file line numberDiff line numberDiff line change
@@ -359,113 +359,115 @@ double VarManager::ComputePIDcalibration(int species, double nSigmaValue)
359359
}
360360

361361
//__________________________________________________________________
362-
std::tuple<double, double, double, double, double> VarManager::BimodalityCoefficientUnbinned(const std::vector<double>& data) {
363-
// Bimodality coefficient = (skewness^2 + 1) / kurtosis
364-
// return a tuple including the coefficient, mean, RMS, skewness, and kurtosis
365-
size_t n = data.size();
366-
if (n < 3) {
367-
return std::make_tuple(-1.0, -1.0, -1.0, -1.0, -1.0);
368-
}
369-
double mean = std::accumulate(data.begin(), data.end(), 0.0) / n;
362+
std::tuple<double, double, double, double, double> VarManager::BimodalityCoefficientUnbinned(const std::vector<double>& data)
363+
{
364+
// Bimodality coefficient = (skewness^2 + 1) / kurtosis
365+
// return a tuple including the coefficient, mean, RMS, skewness, and kurtosis
366+
size_t n = data.size();
367+
if (n < 3) {
368+
return std::make_tuple(-1.0, -1.0, -1.0, -1.0, -1.0);
369+
}
370+
double mean = std::accumulate(data.begin(), data.end(), 0.0) / n;
370371

371-
double m2 = 0.0, m3 = 0.0, m4 = 0.0;
372-
for (double x : data) {
373-
double diff = x - mean;
374-
double diff2 = diff * diff;
375-
double diff3 = diff2 * diff;
376-
double diff4 = diff3 * diff;
377-
m2 += diff2;
378-
m3 += diff3;
379-
m4 += diff4;
380-
}
372+
double m2 = 0.0, m3 = 0.0, m4 = 0.0;
373+
for (double x : data) {
374+
double diff = x - mean;
375+
double diff2 = diff * diff;
376+
double diff3 = diff2 * diff;
377+
double diff4 = diff3 * diff;
378+
m2 += diff2;
379+
m3 += diff3;
380+
m4 += diff4;
381+
}
381382

382-
m2 /= n;
383-
m3 /= n;
384-
m4 /= n;
383+
m2 /= n;
384+
m3 /= n;
385+
m4 /= n;
385386

386-
if (m2 == 0.0) {
387-
return std::make_tuple(-1.0, -1.0, -1.0, -1.0, -1.0);
388-
}
387+
if (m2 == 0.0) {
388+
return std::make_tuple(-1.0, -1.0, -1.0, -1.0, -1.0);
389+
}
389390

390-
double stddev = std::sqrt(m2);
391-
double skewness = m3 / (stddev * stddev * stddev);
392-
double kurtosis = m4 / (m2 * m2);
391+
double stddev = std::sqrt(m2);
392+
double skewness = m3 / (stddev * stddev * stddev);
393+
double kurtosis = m4 / (m2 * m2);
393394

394-
return std::make_tuple((skewness * skewness + 1.0) / kurtosis, mean, stddev, skewness, kurtosis);
395+
return std::make_tuple((skewness * skewness + 1.0) / kurtosis, mean, stddev, skewness, kurtosis);
395396
}
396397

397-
std::tuple<double, double, double, double, double> VarManager::BimodalityCoefficient(const std::vector<double>& data, float binWidth, int trim, float min, float max) {
398-
// Bimodality coefficient = (skewness^2 + 1) / kurtosis
399-
// return a tuple including the coefficient, mean, RMS, skewness, and kurtosis
398+
std::tuple<double, double, double, double, double> VarManager::BimodalityCoefficient(const std::vector<double>& data, float binWidth, int trim, float min, float max)
399+
{
400+
// Bimodality coefficient = (skewness^2 + 1) / kurtosis
401+
// return a tuple including the coefficient, mean, RMS, skewness, and kurtosis
400402

401-
// if the binWidth is < 0, use the unbinned calculation
402-
if (binWidth < 0) {
403-
return BimodalityCoefficientUnbinned(data);
404-
}
403+
// if the binWidth is < 0, use the unbinned calculation
404+
if (binWidth < 0) {
405+
return BimodalityCoefficientUnbinned(data);
406+
}
405407

406-
// bin the data and put it in a vector
407-
int nBins = static_cast<int>((max - min) / binWidth);
408-
std::vector<int> counts(nBins, 0.0);
409-
410-
for (float x : data) {
411-
if (x < min || x >= max) {
412-
continue; // skip out-of-range values
413-
}
414-
int bin = static_cast<int>((x - min) / binWidth);
415-
if (bin >= 0 && bin < nBins) {
416-
counts[bin]++;
417-
}
418-
}
408+
// bin the data and put it in a vector
409+
int nBins = static_cast<int>((max - min) / binWidth);
410+
std::vector<int> counts(nBins, 0.0);
419411

420-
// trim the distribution if requested, by requiring a minimum of "trim" counts in each bin
421-
if (trim > 0) {
422-
for (int i = 0; i < nBins; ++i) {
423-
if (counts[i] < trim) {
424-
counts[i] = 0;
425-
}
426-
}
412+
for (float x : data) {
413+
if (x < min || x >= max) {
414+
continue; // skip out-of-range values
427415
}
428-
429-
// first compute the mean
430-
double mean = 0.0;
431-
double totalCounts = 0.0;
432-
for (int i = 0; i < nBins; ++i) {
433-
double binCenter = min + (i + 0.5) * binWidth;
434-
mean += counts[i] * binCenter;
435-
totalCounts += counts[i];
416+
int bin = static_cast<int>((x - min) / binWidth);
417+
if (bin >= 0 && bin < nBins) {
418+
counts[bin]++;
436419
}
420+
}
437421

438-
if (totalCounts == 0) {
439-
return std::make_tuple(-1.0, -1.0, -1.0, -1.0, -1.0);
440-
}
441-
mean /= totalCounts;
442-
443-
// then compute the second, third, and fourth central moments
444-
double m2 = 0.0, m3 = 0.0, m4 = 0.0;
422+
// trim the distribution if requested, by requiring a minimum of "trim" counts in each bin
423+
if (trim > 0) {
445424
for (int i = 0; i < nBins; ++i) {
446-
double binCenter = min + (i + 0.5) * binWidth;
447-
double diff = binCenter - mean;
448-
double diff2 = diff * diff;
449-
double diff3 = diff2 * diff;
450-
double diff4 = diff3 * diff;
451-
m2 += counts[i] * diff2;
452-
m3 += counts[i] * diff3;
453-
m4 += counts[i] * diff4;
425+
if (counts[i] < trim) {
426+
counts[i] = 0;
427+
}
454428
}
429+
}
430+
431+
// first compute the mean
432+
double mean = 0.0;
433+
double totalCounts = 0.0;
434+
for (int i = 0; i < nBins; ++i) {
435+
double binCenter = min + (i + 0.5) * binWidth;
436+
mean += counts[i] * binCenter;
437+
totalCounts += counts[i];
438+
}
455439

456-
m2 /= totalCounts;
457-
m3 /= totalCounts;
458-
m4 /= totalCounts;
440+
if (totalCounts == 0) {
441+
return std::make_tuple(-1.0, -1.0, -1.0, -1.0, -1.0);
442+
}
443+
mean /= totalCounts;
459444

460-
if (m2 == 0.0) {
461-
return std::make_tuple(-1.0, -1.0, -1.0, -1.0, -1.0);
462-
}
445+
// then compute the second, third, and fourth central moments
446+
double m2 = 0.0, m3 = 0.0, m4 = 0.0;
447+
for (int i = 0; i < nBins; ++i) {
448+
double binCenter = min + (i + 0.5) * binWidth;
449+
double diff = binCenter - mean;
450+
double diff2 = diff * diff;
451+
double diff3 = diff2 * diff;
452+
double diff4 = diff3 * diff;
453+
m2 += counts[i] * diff2;
454+
m3 += counts[i] * diff3;
455+
m4 += counts[i] * diff4;
456+
}
457+
458+
m2 /= totalCounts;
459+
m3 /= totalCounts;
460+
m4 /= totalCounts;
461+
462+
if (m2 == 0.0) {
463+
return std::make_tuple(-1.0, -1.0, -1.0, -1.0, -1.0);
464+
}
463465

464-
double stddev = std::sqrt(m2);
465-
double skewness = m3 / (stddev * stddev * stddev);
466-
double kurtosis = m4 / (m2 * m2); // Pearson's kurtosis, not excess
466+
double stddev = std::sqrt(m2);
467+
double skewness = m3 / (stddev * stddev * stddev);
468+
double kurtosis = m4 / (m2 * m2); // Pearson's kurtosis, not excess
467469

468-
return std::make_tuple((skewness * skewness + 1.0) / kurtosis, mean, stddev, skewness, kurtosis);
470+
return std::make_tuple((skewness * skewness + 1.0) / kurtosis, mean, stddev, skewness, kurtosis);
469471
}
470472

471473
//__________________________________________________________________

‎PWGDQ/Core/VarManager.h‎

Lines changed: 3 additions & 3 deletions
Original file line numberDiff line numberDiff line change
@@ -1276,8 +1276,8 @@ class VarManager : public TObject
12761276
return deltaPsi;
12771277
}
12781278
template <typename T, typename T1>
1279-
static o2::dataformats::VertexBase RecalculatePrimaryVertex(T const& track0, T const& track1, const T1& collision);
1280-
1279+
static o2::dataformats::VertexBase RecalculatePrimaryVertex(T const& track0, T const& track1, const T1& collision);
1280+
12811281
static std::tuple<double, double, double, double, double> BimodalityCoefficientUnbinned(const std::vector<double>& data);
12821282
static std::tuple<double, double, double, double, double> BimodalityCoefficient(const std::vector<double>& data, float binWidth, int trim = 0, float min = -15.0, float max = 15.0);
12831283

@@ -2436,7 +2436,7 @@ void VarManager::FillEventTracks(T const& tracks, float* values)
24362436
values[kDCAzMeanBinnedTrimmed3] = -9999.0;
24372437
values[kDCAzRMSBinnedTrimmed3] = -9999.0;
24382438
}
2439-
2439+
24402440
// compute fraction of tracks with |DCAz| > 100um, 200um, 500um, 1mm, 2mm, 5mm, 10mm
24412441
// make a loop over the DCAz values and count how many are above each threshold
24422442
int counter100um = 0;

‎PWGDQ/DataModel/ReducedInfoTables.h‎

Lines changed: 11 additions & 11 deletions
Original file line numberDiff line numberDiff line change
@@ -66,19 +66,19 @@ DECLARE_SOA_COLUMN(NTPCoccupMeanTimeShortA, nTPCoccupMeanTimeShortA, float);
6666
DECLARE_SOA_COLUMN(NTPCoccupMeanTimeShortC, nTPCoccupMeanTimeShortC, float); //! TPC pileup mean time on C side (short time range)
6767
DECLARE_SOA_COLUMN(NTPCoccupMedianTimeShortA, nTPCoccupMedianTimeShortA, float); //! TPC pileup median time on A side (short time range)
6868
DECLARE_SOA_COLUMN(NTPCoccupMedianTimeShortC, nTPCoccupMedianTimeShortC, float); //! TPC pileup median time on C side (short time range)
69-
DECLARE_SOA_COLUMN(DCAzBimodalityCoefficient, dcazBimodalityCoefficient, float); //! Bimodality coefficient of the DCAz distribution of the tracks in the event
70-
DECLARE_SOA_COLUMN(DCAzBimodalityCoefficientBinned, dcazBimodalityCoefficientBinned, float); //! Bimodality coefficient of the DCAz distribution of the tracks in the event, binned
71-
DECLARE_SOA_COLUMN(DCAzBimodalityCoefficientBinnedTrimmed1, dcazBimodalityCoefficientBinnedTrimmed1, float); //! Bimodality coefficient of the DCAz distribution of the tracks in the event, binned and trimmed 1
72-
DECLARE_SOA_COLUMN(DCAzBimodalityCoefficientBinnedTrimmed2, dcazBimodalityCoefficientBinnedTrimmed2, float); //! Bimodality coefficient of the DCAz distribution of the tracks in the event, binned and trimmed 2
73-
DECLARE_SOA_COLUMN(DCAzBimodalityCoefficientBinnedTrimmed3, dcazBimodalityCoefficientBinnedTrimmed3, float); //! Bimodality coefficient of the DCAz distribution of the tracks in the event, binned and trimmed 3
69+
DECLARE_SOA_COLUMN(DCAzBimodalityCoefficient, dcazBimodalityCoefficient, float); //! Bimodality coefficient of the DCAz distribution of the tracks in the event
70+
DECLARE_SOA_COLUMN(DCAzBimodalityCoefficientBinned, dcazBimodalityCoefficientBinned, float); //! Bimodality coefficient of the DCAz distribution of the tracks in the event, binned
71+
DECLARE_SOA_COLUMN(DCAzBimodalityCoefficientBinnedTrimmed1, dcazBimodalityCoefficientBinnedTrimmed1, float); //! Bimodality coefficient of the DCAz distribution of the tracks in the event, binned and trimmed 1
72+
DECLARE_SOA_COLUMN(DCAzBimodalityCoefficientBinnedTrimmed2, dcazBimodalityCoefficientBinnedTrimmed2, float); //! Bimodality coefficient of the DCAz distribution of the tracks in the event, binned and trimmed 2
73+
DECLARE_SOA_COLUMN(DCAzBimodalityCoefficientBinnedTrimmed3, dcazBimodalityCoefficientBinnedTrimmed3, float); //! Bimodality coefficient of the DCAz distribution of the tracks in the event, binned and trimmed 3
7474
DECLARE_SOA_COLUMN(DCAzMean, dcazMean, float); //! Mean of the DCAz distribution of the tracks in the event
7575
DECLARE_SOA_COLUMN(DCAzMeanBinnedTrimmed1, dcazMeanBinnedTrimmed1, float); //! Mean of the DCAz distribution of the tracks in the event, binned and trimmed 1
7676
DECLARE_SOA_COLUMN(DCAzMeanBinnedTrimmed2, dcazMeanBinnedTrimmed2, float); //! Mean of the DCAz distribution of the tracks in the event, binned and trimmed 2
7777
DECLARE_SOA_COLUMN(DCAzMeanBinnedTrimmed3, dcazMeanBinnedTrimmed3, float); //! Mean of the DCAz distribution of the tracks in the event, binned and trimmed 3
7878
DECLARE_SOA_COLUMN(DCAzRMS, dcazRMS, float); //! RMS of the DCAz distribution of the tracks in the event
79-
DECLARE_SOA_COLUMN(DCAzRMSBinnedTrimmed1, dcazRMSBinnedTrimmed1, float); //! RMS of the DCAz distribution of the tracks in the event, binned and trimmed 1
80-
DECLARE_SOA_COLUMN(DCAzRMSBinnedTrimmed2, dcazRMSBinnedTrimmed2, float); //! RMS of the DCAz distribution of the tracks in the event, binned and trimmed 2
81-
DECLARE_SOA_COLUMN(DCAzRMSBinnedTrimmed3, dcazRMSBinnedTrimmed3, float); //! RMS of the DCAz distribution of the tracks in the event, binned and trimmed 3
79+
DECLARE_SOA_COLUMN(DCAzRMSBinnedTrimmed1, dcazRMSBinnedTrimmed1, float); //! RMS of the DCAz distribution of the tracks in the event, binned and trimmed 1
80+
DECLARE_SOA_COLUMN(DCAzRMSBinnedTrimmed2, dcazRMSBinnedTrimmed2, float); //! RMS of the DCAz distribution of the tracks in the event, binned and trimmed 2
81+
DECLARE_SOA_COLUMN(DCAzRMSBinnedTrimmed3, dcazRMSBinnedTrimmed3, float); //! RMS of the DCAz distribution of the tracks in the event, binned and trimmed 3
8282
DECLARE_SOA_COLUMN(DCAzSkewness, dcazSkewness, float); //! Skewness of the DCAz distribution of the tracks in the event
8383
DECLARE_SOA_COLUMN(DCAzKurtosis, dcazKurtosis, float); //! Kurtosis of the DCAz distribution of the tracks in the event
8484
DECLARE_SOA_COLUMN(DCAzFracAbove100um, dcazFracAbove100um, float); //! Fraction of tracks in the event with |DCAz| > 100um
@@ -220,13 +220,13 @@ DECLARE_SOA_TABLE(ReducedEventsInfo, "AOD", "REDUCEVENTINFO", //! Main event i
220220
reducedevent::CollisionId);
221221

222222
DECLARE_SOA_TABLE(ReducedEventsMergingTable, "AOD", "REMERGE", //! Collision merging quatities
223-
reducedevent::DCAzBimodalityCoefficient, reducedevent::DCAzBimodalityCoefficientBinned,
223+
reducedevent::DCAzBimodalityCoefficient, reducedevent::DCAzBimodalityCoefficientBinned,
224224
reducedevent::DCAzBimodalityCoefficientBinnedTrimmed1, reducedevent::DCAzBimodalityCoefficientBinnedTrimmed2, reducedevent::DCAzBimodalityCoefficientBinnedTrimmed3,
225225
reducedevent::DCAzMean, reducedevent::DCAzMeanBinnedTrimmed1, reducedevent::DCAzMeanBinnedTrimmed2, reducedevent::DCAzMeanBinnedTrimmed3,
226226
reducedevent::DCAzRMS, reducedevent::DCAzRMSBinnedTrimmed1, reducedevent::DCAzRMSBinnedTrimmed2, reducedevent::DCAzRMSBinnedTrimmed3,
227227
reducedevent::DCAzSkewness, reducedevent::DCAzKurtosis,
228-
reducedevent::DCAzFracAbove100um, reducedevent::DCAzFracAbove200um, reducedevent::DCAzFracAbove500um,
229-
reducedevent::DCAzFracAbove1mm, reducedevent::DCAzFracAbove2mm, reducedevent::DCAzFracAbove5mm, reducedevent::DCAzFracAbove10mm);
228+
reducedevent::DCAzFracAbove100um, reducedevent::DCAzFracAbove200um, reducedevent::DCAzFracAbove500um,
229+
reducedevent::DCAzFracAbove1mm, reducedevent::DCAzFracAbove2mm, reducedevent::DCAzFracAbove5mm, reducedevent::DCAzFracAbove10mm);
230230

231231
// TODO and NOTE: This table is just an extension of the ReducedEvents table
232232
// There is no explicit accounting for MC events which were not reconstructed!!!

‎PWGDQ/TableProducer/tableMakerMC_withAssoc.cxx‎

Lines changed: 3 additions & 3 deletions
Original file line numberDiff line numberDiff line change
@@ -276,8 +276,8 @@ struct TableMakerMC {
276276

277277
// variables to store quantities needed for tagging collision merging candidates
278278
struct {
279-
std::map<int32_t, float> bimodalityCoeffDCAz; // Bimodality coefficient of the DCAz distribution of tracks associated to a collision
280-
std::map<int32_t, float> bimodalityCoeffDCAzBinned; // Bimodality coefficient of the DCAz distribution of tracks associated to a collision, binned
279+
std::map<int32_t, float> bimodalityCoeffDCAz; // Bimodality coefficient of the DCAz distribution of tracks associated to a collision
280+
std::map<int32_t, float> bimodalityCoeffDCAzBinned; // Bimodality coefficient of the DCAz distribution of tracks associated to a collision, binned
281281
std::map<int32_t, float> bimodalityCoeffDCAzBinnedTrimmed1; // Bimodality coefficient of the DCAz distribution of tracks associated to a collision, binned and trimmed 1
282282
std::map<int32_t, float> bimodalityCoeffDCAzBinnedTrimmed2; // Bimodality coefficient of the DCAz distribution of tracks associated to a collision, binned and trimmed 2
283283
std::map<int32_t, float> bimodalityCoeffDCAzBinnedTrimmed3; // Bimodality coefficient of the DCAz distribution of tracks associated to a collision, binned and trimmed 3
@@ -784,7 +784,7 @@ struct TableMakerMC {
784784
0, 0, 0.0, 0.0, 0.0, 0.0, 0, 0, 0.0, 0.0, 0.0, 0.0);
785785
}
786786

787-
mergingTable(fCollMergingTag.bimodalityCoeffDCAz[collision.globalIndex()], fCollMergingTag.bimodalityCoeffDCAzBinned[collision.globalIndex()],
787+
mergingTable(fCollMergingTag.bimodalityCoeffDCAz[collision.globalIndex()], fCollMergingTag.bimodalityCoeffDCAzBinned[collision.globalIndex()],
788788
fCollMergingTag.bimodalityCoeffDCAzBinnedTrimmed1[collision.globalIndex()], fCollMergingTag.bimodalityCoeffDCAzBinnedTrimmed2[collision.globalIndex()], fCollMergingTag.bimodalityCoeffDCAzBinnedTrimmed3[collision.globalIndex()],
789789
fCollMergingTag.meanDCAz[collision.globalIndex()], fCollMergingTag.meanDCAzBinnedTrimmed1[collision.globalIndex()], fCollMergingTag.meanDCAzBinnedTrimmed2[collision.globalIndex()], fCollMergingTag.meanDCAzBinnedTrimmed3[collision.globalIndex()],
790790
fCollMergingTag.rmsDCAz[collision.globalIndex()], fCollMergingTag.rmsDCAzBinnedTrimmed1[collision.globalIndex()], fCollMergingTag.rmsDCAzBinnedTrimmed2[collision.globalIndex()], fCollMergingTag.rmsDCAzBinnedTrimmed3[collision.globalIndex()],

‎PWGDQ/TableProducer/tableMaker_withAssoc.cxx‎

Lines changed: 3 additions & 3 deletions
Original file line numberDiff line numberDiff line change
@@ -376,8 +376,8 @@ struct TableMaker {
376376

377377
// variables to store quantities needed for tagging collision merging candidates
378378
struct {
379-
std::map<int32_t, float> bimodalityCoeffDCAz; // Bimodality coefficient of the DCAz distribution of tracks associated to a collision
380-
std::map<int32_t, float> bimodalityCoeffDCAzBinned; // Bimodality coefficient of the DCAz distribution of tracks associated to a collision, binned
379+
std::map<int32_t, float> bimodalityCoeffDCAz; // Bimodality coefficient of the DCAz distribution of tracks associated to a collision
380+
std::map<int32_t, float> bimodalityCoeffDCAzBinned; // Bimodality coefficient of the DCAz distribution of tracks associated to a collision, binned
381381
std::map<int32_t, float> bimodalityCoeffDCAzBinnedTrimmed1; // Bimodality coefficient of the DCAz distribution of tracks associated to a collision, binned and trimmed 1
382382
std::map<int32_t, float> bimodalityCoeffDCAzBinnedTrimmed2; // Bimodality coefficient of the DCAz distribution of tracks associated to a collision, binned and trimmed 2
383383
std::map<int32_t, float> bimodalityCoeffDCAzBinnedTrimmed3; // Bimodality coefficient of the DCAz distribution of tracks associated to a collision, binned and trimmed 3
@@ -1204,7 +1204,7 @@ struct TableMaker {
12041204
fOccup.oMeanTimeShortA[collision.globalIndex()], fOccup.oMeanTimeShortC[collision.globalIndex()],
12051205
fOccup.oMedianTimeShortA[collision.globalIndex()], fOccup.oMedianTimeShortC[collision.globalIndex()]);
12061206
}
1207-
mergingTable(fCollMergingTag.bimodalityCoeffDCAz[collision.globalIndex()], fCollMergingTag.bimodalityCoeffDCAzBinned[collision.globalIndex()],
1207+
mergingTable(fCollMergingTag.bimodalityCoeffDCAz[collision.globalIndex()], fCollMergingTag.bimodalityCoeffDCAzBinned[collision.globalIndex()],
12081208
fCollMergingTag.bimodalityCoeffDCAzBinnedTrimmed1[collision.globalIndex()], fCollMergingTag.bimodalityCoeffDCAzBinnedTrimmed2[collision.globalIndex()], fCollMergingTag.bimodalityCoeffDCAzBinnedTrimmed3[collision.globalIndex()],
12091209
fCollMergingTag.meanDCAz[collision.globalIndex()], fCollMergingTag.meanDCAzBinnedTrimmed1[collision.globalIndex()], fCollMergingTag.meanDCAzBinnedTrimmed2[collision.globalIndex()], fCollMergingTag.meanDCAzBinnedTrimmed3[collision.globalIndex()],
12101210
fCollMergingTag.rmsDCAz[collision.globalIndex()], fCollMergingTag.rmsDCAzBinnedTrimmed1[collision.globalIndex()], fCollMergingTag.rmsDCAzBinnedTrimmed2[collision.globalIndex()], fCollMergingTag.rmsDCAzBinnedTrimmed3[collision.globalIndex()],

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