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1373 lines (1178 loc) · 100 KB
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// Copyright 2019-2020 CERN and copyright holders of ALICE O2.
// See https://alice-o2.web.cern.ch/copyright for details of the copyright holders.
// All rights not expressly granted are reserved.
//
// This software is distributed under the terms of the GNU General Public
// License v3 (GPL Version 3), copied verbatim in the file "COPYING".
//
// In applying this license CERN does not waive the privileges and immunities
// granted to it by virtue of its status as an Intergovernmental Organization
// or submit itself to any jurisdiction.
/// \file rofOccupancyQa.cxx
/// \brief ROF occupancy QA task
///
/// \author Igor Altsybeev <Igor.Altsybeev@cern.ch>
#include "Common/CCDB/EventSelectionParams.h"
#include "Common/DataModel/EventSelection.h"
#include <CCDB/BasicCCDBManager.h>
#include <CommonConstants/LHCConstants.h>
#include <DataFormatsITSMFT/DPLAlpideParam.h>
#include <DataFormatsParameters/AggregatedRunInfo.h>
#include <Framework/AnalysisDataModel.h>
#include <Framework/AnalysisHelpers.h>
#include <Framework/AnalysisTask.h>
#include <Framework/Configurable.h>
#include <Framework/DataTypes.h>
#include <Framework/HistogramRegistry.h>
#include <Framework/HistogramSpec.h>
#include <Framework/InitContext.h>
#include <Framework/OutputObjHeader.h>
#include <Framework/runDataProcessing.h>
#include <cmath>
#include <cstdint>
#include <vector>
using namespace o2;
using namespace o2::framework;
using namespace o2::aod::evsel;
using BCsWithBcSelsRun3 = soa::Join<aod::BCs, aod::Timestamps, aod::BcSels, aod::Run3MatchedToBCSparse>;
using FullTracksIU = soa::Join<aod::TracksIU, aod::TracksExtra>;
const double bcNS = o2::constants::lhc::LHCBunchSpacingNS;
struct RofOccupancyQaTask {
// configurables for occupancy-based event selection
Configurable<float> confTimeIntervalForOccupancyCalculationMin{"TimeIntervalForOccupancyCalculationMin", -40, "Min time diff window for TPC occupancy calculation, us"}; // o2-linter: disable=name/configurable
Configurable<float> confTimeIntervalForOccupancyCalculationMax{"TimeIntervalForOccupancyCalculationMax", 100, "Max time diff window for TPC occupancy calculation, us"}; // o2-linter: disable=name/configurable
Configurable<float> confTimeRangeVetoOnCollStandard{"TimeRangeVetoOnCollStandard", 10.0, "Exclusion of a collision if there are other collisions nearby, +/- us"}; // o2-linter: disable=name/configurable
Configurable<float> confTimeRangeVetoOnCollNarrow{"TimeRangeVetoOnCollNarrow", 2.0, "Exclusion of a collision if there are other collisions nearby, +/- us"}; // o2-linter: disable=name/configurable
Configurable<int> confNtracksCutVetoOnCollInTimeRange{"NtracksCutVetoOnCollInTimeRange", 800, "Max allowed N tracks (PV contributors) for each nearby collision in +/- time range"}; // o2-linter: disable=name/configurable
Configurable<float> confEpsilonDistanceForVzDependentVetoTPC{"EpsilonDistanceForVzDependentVetoTPC", 2.5, "Epsilon for vZ-dependent veto on drifting TPC tracks from nearby collisions, cm"}; // o2-linter: disable=name/configurable
Configurable<float> confFT0CamplCutVetoOnCollInROF{"FT0CamplPerCollCutVetoOnCollInROF", 5000, "Max allowed FT0C amplitude for each nearby collision inside this ITS ROF"}; // o2-linter: disable=name/configurable
Configurable<float> confEpsilonVzDiffVetoInROF{"EpsilonVzDiffVetoInROF", 0.3, "Minumum distance to nearby collisions along z inside this ITS ROF, cm"}; // o2-linter: disable=name/configurable
Configurable<bool> confUseWeightsForOccupancyVariable{"UseWeightsForOccupancyEstimator", 1, "Use or not the delta-time weights for the occupancy estimator"}; // o2-linter: disable=name/configurable
Configurable<float> confFactorForHistRange{"kFactorForHistRange", 1.0, "To change axes b/n pp and Pb-Pb"}; // o2-linter: disable=name/configurable
Service<o2::ccdb::BasicCCDBManager> ccdb;
HistogramRegistry histos{"Histos", {}, OutputObjHandlingPolicy::AnalysisObject};
int lastRun = -1; // last run number (needed to access ccdb only if run!=lastRun)
// std::bitset<o2::constants::lhc::LHCMaxBunches> bcPatternB; // bc pattern of colliding bunches
int64_t bcSOR = -1; // global bc of the start of the first orbit
int64_t nBCsPerTF = -1; // duration of TF in bcs, should be 128*3564 or 32*3564
int rofOffset = -1; // ITS ROF offset, in bc
int rofLength = -1; // ITS ROF length, in bc
void init(InitContext&)
{
ccdb->setURL("http://alice-ccdb.cern.ch");
ccdb->setCaching(true);
ccdb->setLocalObjectValidityChecking();
float k = confFactorForHistRange;
histos.add("hDeltaTime", "", kTH1D, {{1500, -50, 100}});
histos.add("hDeltaTimeAboveNtracksCut", "", kTH1D, {{1500, -50, 100}});
histos.add("hDeltaTime_vZ10cm", "", kTH1D, {{1500, -50, 100}});
histos.add("hDeltaTime_sel8", "", kTH1D, {{1500, -50, 100}});
histos.add("hDeltaTime_sel8_vZ10cm", "", kTH1D, {{1500, -50, 100}});
histos.add("hDeltaTimeAboveNtracksCut_sel8_vZ10cm", "", kTH1D, {{1500, -50, 100}});
histos.add("hOccupancyWeights", "", kTH1D, {{150, -50, 100}});
histos.add("hOccupancyByTracks", "", kTH1D, {{250, 0., 25000 * k}});
histos.add("hOccupancyByFT0C", "", kTH1D, {{250, 0., 2.5e5 * k}});
histos.add("hOccupancyByTrInROF", "", kTH1D, {{250, 0., 25000 * k}});
histos.add("hOccupancyByFT0C_vs_ByTracks", "", kTH2D, {{500, 0., 25000 * k}, {500, 0., 2.5e5 * k}});
histos.add("hOccupancyByFT0C_vs_ByTracks_vZ_TF_ROF_border_cuts", "", kTH2D, {{500, 0., 25000 * k}, {500, 0., 2.5e5 * k}});
histos.add("hOccupancyByFT0C_vs_ByTracks_afterNarrowDeltaTimeCut", "", kTH2D, {{500, 0., 25000 * k}, {500, 0., 2.5e5 * k}});
histos.add("hOccupancyByFT0C_vs_ByTracks_afterStrictDeltaTimeCut", "", kTH2D, {{500, 0., 25000 * k}, {500, 0., 2.5e5 * k}});
histos.add("hOccupancyByFT0C_vs_ByTracks_afterStandardDeltaTimeCut", "", kTH2D, {{500, 0., 25000 * k}, {500, 0., 2.5e5 * k}});
histos.add("hOccupancyByFT0C_vs_ByTracks_afterVzDependentDeltaTimeCut", "", kTH2D, {{500, 0., 25000 * k}, {500, 0., 2.5e5 * k}});
histos.add("hOccupancyByTracks_CROSSCHECK", "", kTH1D, {{250, 0., 25000 * k}});
histos.add("hOccupancyByFT0C_CROSSCHECK", "", kTH1D, {{250, 0., 2.5e5 * k}});
// this ev nITStr vs FT0C
histos.add("hThisEvITSTr_vs_ThisEvFT0C/all", "", kTH2D, {{250, 0., 1e5 * k}, {250, 0., 10000 * k}});
histos.add("hThisEvITSTr_vs_ThisEvFT0C/vZ_TF_ROF_border_cuts", "", kTH2D, {{250, 0., 1e5 * k}, {250, 0., 10000 * k}});
histos.add("hThisEvITSTr_vs_ThisEvFT0C/afterNarrowDeltaTimeCut", "", kTH2D, {{250, 0., 1e5 * k}, {250, 0., 10000 * k}});
histos.add("hThisEvITSTr_vs_ThisEvFT0C/afterStrictDeltaTimeCut", "", kTH2D, {{250, 0., 1e5 * k}, {250, 0., 10000 * k}});
histos.add("hThisEvITSTr_vs_ThisEvFT0C/afterStandardDeltaTimeCut", "", kTH2D, {{250, 0., 1e5 * k}, {250, 0., 10000 * k}});
histos.add("hThisEvITSTr_vs_ThisEvFT0C/afterVzDependentDeltaTimeCut", "", kTH2D, {{250, 0., 1e5 * k}, {250, 0., 10000 * k}});
histos.add("hThisEvITSTr_vs_ThisEvFT0C/kNoCollInRofStrict", "", kTH2D, {{250, 0., 1e5 * k}, {250, 0., 10000 * k}});
histos.add("hThisEvITSTr_vs_ThisEvFT0C/kNoCollInRofStandard", "", kTH2D, {{250, 0., 1e5 * k}, {250, 0., 10000 * k}});
histos.add("hThisEvITSTr_vs_ThisEvFT0C/kNoCollInRofWithCloseVz", "", kTH2D, {{250, 0., 1e5 * k}, {250, 0., 10000 * k}});
histos.add("hThisEvITSTr_vs_ThisEvFT0C/NarrowDeltaCut_StdTimeAndRofCuts", "", kTH2D, {{250, 0., 1e5 * k}, {250, 0., 10000 * k}});
histos.add("hThisEvITSTr_vs_ThisEvFT0C/occupBelow2000", "", kTH2D, {{250, 0., 1e5 * k}, {250, 0., 10000 * k}});
histos.add("hThisEvITSTr_vs_ThisEvFT0C/hThisEvITSTPCTr_vs_ThisEvFT0C_occupBelow2000", "", kTH2D, {{250, 0., 1e5 * k}, {250, 0., 10000 * k}});
histos.add("hThisEvITSTr_vs_ThisEvFT0C/NarrowDeltaCut_StdTimeAndRofCuts_occupBelow2000", "", kTH2D, {{250, 0., 1e5 * k}, {250, 0., 10000 * k}});
histos.add("hThisEvITSTr_vs_ThisEvFT0C/hThisEvITSTPCTr_vs_ThisEvFT0C_NarrowDeltaCut_StdTimeAndRofCuts_occupBelow2000", "", kTH2D, {{250, 0., 1e5 * k}, {250, 0., 10000 * k}});
// CROSS-CHECK SEL BITS:
histos.add("hThisEvITSTr_vs_ThisEvFT0C/CROSSCHECK_afterNarrowDeltaTimeCut", "", kTH2D, {{250, 0., 1e5 * k}, {250, 0., 10000 * k}});
histos.add("hThisEvITSTr_vs_ThisEvFT0C/CROSSCHECK_afterStrictDeltaTimeCut", "", kTH2D, {{250, 0., 1e5 * k}, {250, 0., 10000 * k}});
histos.add("hThisEvITSTr_vs_ThisEvFT0C/CROSSCHECK_afterStandardDeltaTimeCut", "", kTH2D, {{250, 0., 1e5 * k}, {250, 0., 10000 * k}});
histos.add("hThisEvITSTr_vs_ThisEvFT0C/CROSSCHECK_kNoCollInRofStrict", "", kTH2D, {{250, 0., 1e5 * k}, {250, 0., 10000 * k}});
histos.add("hThisEvITSTr_vs_ThisEvFT0C/CROSSCHECK_kNoCollInRofStandard", "", kTH2D, {{250, 0., 1e5 * k}, {250, 0., 10000 * k}});
// histos.add("hThisEvITSTr_vs_ThisEvFT0C/CROSSCHECK_kNoCollInRofWithCloseVz", "", kTH2D, {{250, 0., 1e5*k}, {250, 0., 10000*k}});
// this ev nITSTPCtr vs nITStr
histos.add("hThisEvITSTPCTr_vs_ThisEvITStr/all", "", kTH2D, {{250, 0., 8000 * k}, {250, 0., 5000 * k}});
histos.add("hThisEvITSTPCTr_vs_ThisEvITStr/vZ_TF_ROF_border_cuts", "", kTH2D, {{250, 0., 8000 * k}, {250, 0., 5000 * k}});
histos.add("hThisEvITSTPCTr_vs_ThisEvITStr/afterNarrowDeltaTimeCut", "", kTH2D, {{250, 0., 8000 * k}, {250, 0., 5000 * k}});
histos.add("hThisEvITSTPCTr_vs_ThisEvITStr/afterStrictDeltaTimeCut", "", kTH2D, {{250, 0., 8000 * k}, {250, 0., 5000 * k}});
histos.add("hThisEvITSTPCTr_vs_ThisEvITStr/afterStandardDeltaTimeCut", "", kTH2D, {{250, 0., 8000 * k}, {250, 0., 5000 * k}});
histos.add("hThisEvITSTPCTr_vs_ThisEvITStr/afterVzDependentDeltaTimeCut", "", kTH2D, {{250, 0., 8000 * k}, {250, 0., 5000 * k}});
histos.add("hThisEvITSTPCTr_vs_ThisEvITStr/kNoCollInRofStrict", "", kTH2D, {{250, 0., 8000 * k}, {250, 0., 5000 * k}});
histos.add("hThisEvITSTPCTr_vs_ThisEvITStr/kNoCollInRofStandard", "", kTH2D, {{250, 0., 8000 * k}, {250, 0., 5000 * k}});
histos.add("hThisEvITSTPCTr_vs_ThisEvITStr/kNoCollInRofWithCloseVz", "", kTH2D, {{250, 0., 8000 * k}, {250, 0., 5000 * k}});
histos.add("hThisEvITSTPCTr_vs_ThisEvITStr/NarrowDeltaCut_StdTimeAndRofCuts", "", kTH2D, {{250, 0., 8000 * k}, {250, 0., 5000 * k}});
histos.add("hThisEvITSTPCTr_vs_ThisEvITStr/occupBelow2000", "", kTH2D, {{250, 0., 8000 * k}, {250, 0., 5000 * k}});
histos.add("hThisEvITSTPCTr_vs_ThisEvITStr/occupBelow2000_NarrowDeltaCut_StdTimeAndRofCuts", "", kTH2D, {{250, 0., 8000 * k}, {250, 0., 5000 * k}});
histos.add("hThisEvITSTPCTr_vs_ThisEvITStr/occupBelow2000_StrictDeltaTimeCutAndRofCuts", "", kTH2D, {{250, 0., 8000 * k}, {250, 0., 5000 * k}});
histos.add("hThisEvITStr_vs_vZcut", "", kTH2D, {{200, 0., 10.}, {200, 0., 8000 * k}});
histos.add("hThisEvITSTPCtr_vs_vZcut", "", kTH2D, {{200, 0., 10.}, {200, 0., 5000 * k}});
histos.add("hThisEvITStr_vs_vZ", "", kTH2D, {{400, -20, 20.}, {200, 0., 8000 * k}});
histos.add("hThisEvITSTPCtr_vs_vZ", "", kTH2D, {{400, -20, 20.}, {200, 0., 5000 * k}});
histos.add("hVz", "", kTH1D, {{1600, -40, 40.}});
histos.add("hDeltaVz", "", kTH1D, {{1600, -40, 40.}});
histos.add("hDeltaVzAfterCuts", "", kTH1D, {{1600, -40, 40.}});
histos.add("hDeltaVzAfterTFandROFborderCuts", "", kTH1D, {{1600, -40, 40.}});
histos.add("hDeltaVzGivenCollAbove100NearbyBelow100", "", kTH1D, {{1600, -40, 40.}});
histos.add("hDeltaVzGivenCollBelow100NearbyAbove100", "", kTH1D, {{1600, -40, 40.}});
histos.add("hDeltaVzAfterAllCuts", "", kTH1D, {{1600, -40, 40.}});
//
histos.add("hDeltaVzVsDeltaTime1", "", kTH2D, {{400, -25, 25}, {100, -20, 20}});
histos.add("hDeltaVzVsDeltaTime2", "", kTH2D, {{400, -25, 25}, {100, -20, 20}});
histos.add("hDeltaVzVsDeltaTime3", "", kTH2D, {{400, -25, 25}, {100, -20, 20}});
histos.add("hDeltaVzVsDeltaTime4", "", kTH2D, {{400, -25, 25}, {100, -20, 20}});
histos.add("hEtaVz02", "", kTH1D, {{500, -2.5, 2.5}});
histos.add("hEtaVzPlus10", "", kTH1D, {{500, -2.5, 2.5}});
histos.add("hEtaVzMinus10", "", kTH1D, {{500, -2.5, 2.5}});
histos.add("hEtaVzPlus15", "", kTH1D, {{500, -2.5, 2.5}});
histos.add("hEtaVzMinus15", "", kTH1D, {{500, -2.5, 2.5}});
histos.add("hEtaVsVz", "", kTH2D, {{250, -25, 25}, {250, -2.5, 2.5}});
histos.add("hNPVcontribVsVz", "", kTH2D, {{250, -25, 25}, {500, 0., 8000}});
histos.add("hNPVcontribVsVz_eta08", "", kTH2D, {{250, -25, 25}, {500, 0., 8000}});
//
histos.add("vZ_TF_ROF_border_cuts/hThisEvITSTr_vs_occupancyByTracks", "", kTH2D, {{250, 0., 25000 * k}, {250, 0., 8000}});
histos.add("vZ_TF_ROF_border_cuts/hThisEvITSTPCTr_vs_occupancyByTracks", "", kTH2D, {{250, 0., 25000 * k}, {250, 0., 8000}});
histos.add("vZ_TF_ROF_border_cuts/hThisEvITSTr_vs_occupancyByFT0C", "", kTH2D, {{250, 0., 2.5e5 * k}, {250, 0., 8000}});
histos.add("vZ_TF_ROF_border_cuts/hThisEvITSTPCTr_vs_occupancyByFT0C", "", kTH2D, {{250, 0., 2.5e5 * k}, {250, 0., 8000}});
histos.add("afterNarrowDeltaTimeCut/hThisEvITSTr_vs_occupancyByTracks", "", kTH2D, {{250, 0., 25000 * k}, {250, 0., 8000}});
histos.add("afterNarrowDeltaTimeCut/hThisEvITSTPCTr_vs_occupancyByTracks", "", kTH2D, {{250, 0., 25000 * k}, {250, 0., 8000}});
histos.add("afterNarrowDeltaTimeCut/hThisEvITSTr_vs_occupancyByFT0C", "", kTH2D, {{250, 0., 2.5e5 * k}, {250, 0., 8000}});
histos.add("afterNarrowDeltaTimeCut/hThisEvITSTPCTr_vs_occupancyByFT0C", "", kTH2D, {{250, 0., 2.5e5 * k}, {250, 0., 8000}});
histos.add("afterStrictDeltaTimeCut/hThisEvITSTr_vs_occupancyByTracks", "", kTH2D, {{250, 0., 25000 * k}, {250, 0., 8000}});
histos.add("afterStrictDeltaTimeCut/hThisEvITSTPCTr_vs_occupancyByTracks", "", kTH2D, {{250, 0., 25000 * k}, {250, 0., 8000}});
histos.add("afterStrictDeltaTimeCut/hThisEvITSTr_vs_occupancyByFT0C", "", kTH2D, {{250, 0., 2.5e5 * k}, {250, 0., 8000}});
histos.add("afterStrictDeltaTimeCut/hThisEvITSTPCTr_vs_occupancyByFT0C", "", kTH2D, {{250, 0., 2.5e5 * k}, {250, 0., 8000}});
histos.add("afterStandardDeltaTimeCut/hThisEvITSTr_vs_occupancyByTracks", "", kTH2D, {{250, 0., 25000 * k}, {250, 0., 8000}});
histos.add("afterStandardDeltaTimeCut/hThisEvITSTPCTr_vs_occupancyByTracks", "", kTH2D, {{250, 0., 25000 * k}, {250, 0., 8000}});
histos.add("afterStandardDeltaTimeCut/hThisEvITSTr_vs_occupancyByFT0C", "", kTH2D, {{250, 0., 2.5e5 * k}, {250, 0., 8000}});
histos.add("afterStandardDeltaTimeCut/hThisEvITSTPCTr_vs_occupancyByFT0C", "", kTH2D, {{250, 0., 2.5e5 * k}, {250, 0., 8000}});
histos.add("afterVzDependentDeltaTimeCut/hThisEvITSTr_vs_occupancyByTracks", "", kTH2D, {{250, 0., 25000 * k}, {250, 0., 8000}});
histos.add("afterVzDependentDeltaTimeCut/hThisEvITSTPCTr_vs_occupancyByTracks", "", kTH2D, {{250, 0., 25000 * k}, {250, 0., 8000}});
histos.add("afterVzDependentDeltaTimeCut/hThisEvITSTr_vs_occupancyByFT0C", "", kTH2D, {{250, 0., 2.5e5 * k}, {250, 0., 8000}});
histos.add("afterVzDependentDeltaTimeCut/hThisEvITSTPCTr_vs_occupancyByFT0C", "", kTH2D, {{250, 0., 2.5e5 * k}, {250, 0., 8000}});
histos.add("kNoCollInRofStrict/hThisEvITSTr_vs_occupancyByTracks", "", kTH2D, {{250, 0., 25000 * k}, {250, 0., 8000}});
histos.add("kNoCollInRofStrict/hThisEvITSTPCTr_vs_occupancyByTracks", "", kTH2D, {{250, 0., 25000 * k}, {250, 0., 8000}});
histos.add("kNoCollInRofStrict/hThisEvITSTr_vs_occupancyByFT0C", "", kTH2D, {{250, 0., 2.5e5 * k}, {250, 0., 8000}});
histos.add("kNoCollInRofStrict/hThisEvITSTPCTr_vs_occupancyByFT0C", "", kTH2D, {{250, 0., 2.5e5 * k}, {250, 0., 8000}});
histos.add("kNoCollInRofStandard/hThisEvITSTr_vs_occupancyByTracks", "", kTH2D, {{250, 0., 25000 * k}, {250, 0., 8000}});
histos.add("kNoCollInRofStandard/hThisEvITSTPCTr_vs_occupancyByTracks", "", kTH2D, {{250, 0., 25000 * k}, {250, 0., 8000}});
histos.add("kNoCollInRofStandard/hThisEvITSTr_vs_occupancyByFT0C", "", kTH2D, {{250, 0., 2.5e5 * k}, {250, 0., 8000}});
histos.add("kNoCollInRofStandard/hThisEvITSTPCTr_vs_occupancyByFT0C", "", kTH2D, {{250, 0., 2.5e5 * k}, {250, 0., 8000}});
histos.add("kNoCollInRofWithCloseVz/hThisEvITSTr_vs_occupancyByTracks", "", kTH2D, {{250, 0., 25000 * k}, {250, 0., 8000}});
histos.add("kNoCollInRofWithCloseVz/hThisEvITSTPCTr_vs_occupancyByTracks", "", kTH2D, {{250, 0., 25000 * k}, {250, 0., 8000}});
histos.add("kNoCollInRofWithCloseVz/hThisEvITSTr_vs_occupancyByFT0C", "", kTH2D, {{250, 0., 2.5e5 * k}, {250, 0., 8000}});
histos.add("kNoCollInRofWithCloseVz/hThisEvITSTPCTr_vs_occupancyByFT0C", "", kTH2D, {{250, 0., 2.5e5 * k}, {250, 0., 8000}});
histos.add("NarrowDeltaCut_StdTimeAndRofCuts/hThisEvITSTr_vs_occupancyByTracks", "", kTH2D, {{250, 0., 25000 * k}, {250, 0., 8000}});
histos.add("NarrowDeltaCut_StdTimeAndRofCuts/hThisEvITSTPCTr_vs_occupancyByTracks", "", kTH2D, {{250, 0., 25000 * k}, {250, 0., 8000}});
histos.add("NarrowDeltaCut_StdTimeAndRofCuts/hThisEvITSTr_vs_occupancyByFT0C", "", kTH2D, {{250, 0., 2.5e5 * k}, {250, 0., 8000}});
histos.add("NarrowDeltaCut_StdTimeAndRofCuts/hThisEvITSTPCTr_vs_occupancyByFT0C", "", kTH2D, {{250, 0., 2.5e5 * k}, {250, 0., 8000}});
histos.add("vZ_TF_ROF_border_cuts/hThisEvITSTr_vs_occupancyInROF", "", kTH2D, {{250, 0., 12000 * k}, {250, 0., 8000 * k}});
histos.add("vZ_TF_ROF_border_cuts/hThisEvITSTPCTr_vs_occupancyInROF", "", kTH2D, {{250, 0., 12000 * k}, {250, 0., 8000 * k}});
histos.add("afterNarrowDeltaTimeCut/hThisEvITSTr_vs_occupancyInROF", "", kTH2D, {{250, 0., 12000 * k}, {250, 0., 8000 * k}});
histos.add("afterNarrowDeltaTimeCut/hThisEvITSTPCTr_vs_occupancyInROF", "", kTH2D, {{250, 0., 12000 * k}, {250, 0., 8000 * k}});
histos.add("vZ_TF_ROF_border_cuts/hThisEvITSTr_vs_occupancyInROF_HasNeighbours", "", kTH2D, {{250, 0., 12000 * k}, {250, 0., 8000 * k}});
histos.add("afterNarrowDeltaTimeCut/hThisEvITSTr_vs_occupancyInROF_HasNeighbours", "", kTH2D, {{250, 0., 12000 * k}, {250, 0., 8000 * k}});
histos.add("kNoCollInRofWithCloseVz/hThisEvITSTr_vs_occupancyInROF_HasNeighbours", "", kTH2D, {{250, 0., 12000 * k}, {250, 0., 8000 * k}});
histos.add("vZ_TF_ROF_border_cuts/hThisEvITSTr_vs_occupancyFT0CInROF", "", kTH2D, {{250, 0., 100000 * k}, {250, 0., 8000 * k}});
histos.add("vZ_TF_ROF_border_cuts/hThisEvITSTPCTr_vs_occupancyFT0CInROF", "", kTH2D, {{250, 0., 100000 * k}, {250, 0., 8000 * k}});
histos.add("afterNarrowDeltaTimeCut/hThisEvITSTr_vs_occupancyFT0CInROF", "", kTH2D, {{250, 0., 100000 * k}, {250, 0., 8000 * k}});
histos.add("afterNarrowDeltaTimeCut/hThisEvITSTPCTr_vs_occupancyFT0CInROF", "", kTH2D, {{250, 0., 100000 * k}, {250, 0., 8000 * k}});
histos.add("vZ_TF_ROF_border_cuts/hThisEvITSTr_vs_occupancyFT0CInROF_HasNeighbours", "", kTH2D, {{250, 0., 100000 * k}, {250, 0., 8000 * k}});
histos.add("afterNarrowDeltaTimeCut/hThisEvITSTr_vs_occupancyFT0CInROF_HasNeighbours", "", kTH2D, {{250, 0., 100000 * k}, {250, 0., 8000 * k}});
histos.add("kNoCollInRofWithCloseVz/hThisEvITSTr_vs_occupancyFT0CInROF_HasNeighbours", "", kTH2D, {{250, 0., 100000 * k}, {250, 0., 8000 * k}});
histos.add("vZ_TF_ROF_border_cuts/hThisEvFT0C_vs_occupancyFT0CInROF_HasNeighbours", "", kTH2D, {{250, 0., 100000 * k}, {250, 0., 100000 * k}});
histos.add("afterNarrowDeltaTimeCut/hThisEvFT0C_vs_occupancyFT0CInROF_HasNeighbours", "", kTH2D, {{250, 0., 100000 * k}, {250, 0., 100000 * k}});
histos.add("kNoCollInRofWithCloseVz/hThisEvFT0C_vs_occupancyFT0CInROF_HasNeighbours", "", kTH2D, {{250, 0., 100000 * k}, {250, 0., 100000 * k}});
histos.add("vZ_TF_ROF_border_cuts/hThisEvITSTr_vs_occupancyInROF_2coll", "", kTH2D, {{250, 0., 8000 * k}, {250, 0., 8000 * k}});
histos.add("afterNarrowDeltaTimeCut/hThisEvITSTr_vs_occupancyInROF_2coll", "", kTH2D, {{250, 0., 8000 * k}, {250, 0., 8000 * k}});
histos.add("kNoCollInRofWithCloseVz/hThisEvITSTr_vs_occupancyInROF_2coll", "", kTH2D, {{250, 0., 8000 * k}, {250, 0., 8000 * k}});
histos.add("vZ_TF_ROF_border_cuts/hThisEvFT0C_vs_occupancyFT0CInROF_2coll", "", kTH2D, {{250, 0., 100000 * k}, {250, 0., 100000 * k}});
histos.add("afterNarrowDeltaTimeCut/hThisEvFT0C_vs_occupancyFT0CInROF_2coll", "", kTH2D, {{250, 0., 100000 * k}, {250, 0., 100000 * k}});
histos.add("kNoCollInRofWithCloseVz/hThisEvFT0C_vs_occupancyFT0CInROF_2coll", "", kTH2D, {{250, 0., 100000 * k}, {250, 0., 100000 * k}});
histos.add("vZ_TF_ROF_border_cuts/hThisEvITSTr_vs_occupancyInAnotherEarlierROF_1collPerROF", "", kTH2D, {{250, 0., 8000 * k}, {250, 0., 8000 * k}});
histos.add("afterNarrowDeltaTimeCut/hThisEvITSTr_vs_occupancyInAnotherEarlierROF_1collPerROF", "", kTH2D, {{250, 0., 8000 * k}, {250, 0., 8000 * k}});
// histos.add("kNoCollInRofWithCloseVz/hThisEvITSTr_vs_occupancyInAnotherEarlierROF_1collPerROF", "", kTH2D, {{250, 0., 8000*k}, {250, 0., 8000*k}});
histos.add("vZ_TF_ROF_border_cuts/hThisEvITSTr_vs_occupancyInPreviousROF_1collPerROF", "", kTH2D, {{250, 0., 8000 * k}, {250, 0., 8000 * k}});
histos.add("afterNarrowDeltaTimeCut/hThisEvITSTr_vs_occupancyInPreviousROF_1collPerROF", "", kTH2D, {{250, 0., 8000 * k}, {250, 0., 8000 * k}});
histos.add("afterNarrowDeltaTimeCut/hThisEvITSTr_vs_occupancyInPrevPrevROF_1collPerROF", "", kTH2D, {{250, 0., 8000 * k}, {250, 0., 8000 * k}});
// coll on x axis always has more tracks:
histos.add("vZ_TF_ROF_border_cuts/hThisEvITSTr_vs_occupancyInROF_2coll_XaxisWins", "", kTH2D, {{250, 0., 8000 * k}, {250, 0., 8000 * k}});
histos.add("afterNarrowDeltaTimeCut/hThisEvITSTr_vs_occupancyInROF_2coll_XaxisWins", "", kTH2D, {{250, 0., 8000 * k}, {250, 0., 8000 * k}});
histos.add("vZ_TF_ROF_border_cuts/hThisEvITSTr_vs_occupancyInPreviousROF_1collPerROF_XaxisWins", "", kTH2D, {{250, 0., 8000 * k}, {250, 0., 8000 * k}});
histos.add("afterNarrowDeltaTimeCut/hThisEvITSTr_vs_occupancyInPreviousROF_1collPerROF_XaxisWins", "", kTH2D, {{250, 0., 8000 * k}, {250, 0., 8000 * k}});
// 2,3,4 colls in ROF
histos.add("vZ_TF_ROF_border_cuts/hThisEvITSTr_vs_occupancyInROF_2coll_noVzCutOnOtherVertices", "", kTH2D, {{500, 0., 8000 * k}, {250, 0., 8000 * k}});
histos.add("vZ_TF_ROF_border_cuts/hThisEvITSTr_vs_occupancyInROF_3coll_noVzCutOnOtherVertices", "", kTH2D, {{500, 0., 20000 * k}, {250, 0., 8000 * k}});
histos.add("vZ_TF_ROF_border_cuts/hThisEvITSTr_vs_occupancyInROF_4coll_noVzCutOnOtherVertices", "", kTH2D, {{500, 0., 20000 * k}, {250, 0., 8000 * k}});
histos.add("vZ_TF_ROF_border_cuts/hThisEvITSTr_1coll_in_ROF", "", kTH1D, {{250, 0., 8000 * k}});
histos.add("vZ_TF_ROF_border_cuts/hThisEvITSTr_2coll_in_ROF", "", kTH1D, {{250, 0., 8000 * k}});
histos.add("vZ_TF_ROF_border_cuts/hThisEvITSTr_3coll_in_ROF", "", kTH1D, {{250, 0., 8000 * k}});
histos.add("vZ_TF_ROF_border_cuts/hThisEvITSTr_4coll_in_ROF", "", kTH1D, {{250, 0., 8000 * k}});
histos.add("vZ_TF_ROF_border_cuts/hThisEvITSTr_5collOrMore_in_ROF", "", kTH1D, {{250, 0., 8000 * k}});
// 1D
histos.add("vZ_TF_ROF_border_cuts/hThisEvITSTr_allOccup_2coll_inROF", "", kTH1D, {{250, 0., 8000 * k}});
histos.add("vZ_TF_ROF_border_cuts/hThisEvITSTr_lowOccup_2coll_inROF", "", kTH1D, {{250, 0., 8000 * k}});
histos.add("vZ_TF_ROF_border_cuts/hThisEvITSTr_highOccup_2coll_inROF", "", kTH1D, {{250, 0., 8000 * k}});
histos.add("vZ_TF_ROF_border_cuts/hThisEvITSTr_allOccup_1collPerROF", "", kTH1D, {{250, 0., 8000 * k}});
histos.add("vZ_TF_ROF_border_cuts/hThisEvITSTr_lowOccup_1collPerROF", "", kTH1D, {{250, 0., 8000 * k}});
histos.add("vZ_TF_ROF_border_cuts/hThisEvITSTr_highOccup_1collPerROF", "", kTH1D, {{250, 0., 8000 * k}});
// now with the ratio on y-axis:
histos.add("vZ_TF_ROF_border_cuts/hThisEvITSTr_vs_occupancyInROF_2coll_XaxisWins_RatioV2toV1", "", kTH2D, {{250, 0., 8000 * k}, {220, 0., 1.1}});
histos.add("afterNarrowDeltaTimeCut/hThisEvITSTr_vs_occupancyInROF_2coll_XaxisWins_RatioV2toV1", "", kTH2D, {{250, 0., 8000 * k}, {220, 0., 1.1}});
histos.add("vZ_TF_ROF_border_cuts/hThisEvITSTr_vs_occupancyInPreviousROF_1collPerROF_XaxisWins_RatioV2toV1", "", kTH2D, {{250, 0., 8000 * k}, {220, 0., 1.1}});
histos.add("afterNarrowDeltaTimeCut/hThisEvITSTr_vs_occupancyInPreviousROF_1collPerROF_XaxisWins_RatioV2toV1", "", kTH2D, {{250, 0., 8000 * k}, {220, 0., 1.1}});
histos.add("afterNarrowDeltaTimeCut/hSum_2coll_withFT0above4000_inROF", "", kTH1D, {{500, 0., 15000 * k}});
histos.add("afterNarrowDeltaTimeCut/hSum_2coll_withFT0above4000_thisROFprevROF", "", kTH1D, {{500, 0., 15000 * k}});
histos.add("afterNarrowDeltaTimeCut/hSum_2coll_withFT0above4000_thisROFprevPrevROF", "", kTH1D, {{500, 0., 15000 * k}});
histos.add("afterNarrowDeltaTimeCut/hSum_2coll_withFT0above4000_thisROFearlierThanPrevPrevROF", "", kTH1D, {{500, 0., 15000 * k}});
//
histos.add("hNcollPerROF", "", kTH1D, {{16, -0.5, 15.5}});
// ROF-by-ROF study:
histos.add("ROFbyROF/nPV_vs_ROFid", "", kTH2D, {{800, 0., 8000 * k}, {10, -0.5, 9.5}});
histos.add("ROFbyROF/nPV_vs_subROFid", "", kTH2D, {{800, 0., 8000 * k}, {20, -0.5, 19.5}});
histos.add("ROFbyROF/FT0C_vs_ROFid", "", kTH2D, {{800, 0., 80000 * k}, {10, -0.5, 9.5}});
histos.add("ROFbyROF/FT0C_vs_subROFid", "", kTH2D, {{800, 0., 80000 * k}, {20, -0.5, 19.5}});
histos.add("ROFbyROF/nPV_00x00", "", kTH1D, {{250, 0., 8000 * k}});
histos.add("ROFbyROF/nPV_10x00", "", kTH2D, {{250, 0., 8000 * k}, {250, 0., 8000 * k}});
histos.add("ROFbyROF/nPV_01x00", "", kTH2D, {{250, 0., 8000 * k}, {250, 0., 8000 * k}});
histos.add("ROFbyROF/nPV_00x10", "", kTH2D, {{250, 0., 8000 * k}, {250, 0., 8000 * k}});
histos.add("ROFbyROF/nPV_00x01", "", kTH2D, {{250, 0., 8000 * k}, {250, 0., 8000 * k}});
histos.add("ROFbyROF/nPV_11x00", "", kTH2D, {{250, 0., 8000 * k}, {250, 0., 8000 * k}});
histos.add("ROFbyROF/nPV_01x10", "", kTH2D, {{250, 0., 8000 * k}, {250, 0., 8000 * k}});
histos.add("ROFbyROF/nPV_00x11", "", kTH2D, {{250, 0., 8000 * k}, {250, 0., 8000 * k}});
histos.add("ROFbyROF/nPV_10x00_nearbyByFT0C", "", kTH2D, {{250, 0., 80000 * k}, {250, 0., 8000 * k}});
histos.add("ROFbyROF/nPV_01x00_nearbyByFT0C", "", kTH2D, {{250, 0., 80000 * k}, {250, 0., 8000 * k}});
histos.add("ROFbyROF/nPV_00x10_nearbyByFT0C", "", kTH2D, {{250, 0., 80000 * k}, {250, 0., 8000 * k}});
histos.add("ROFbyROF/nPV_00x01_nearbyByFT0C", "", kTH2D, {{250, 0., 80000 * k}, {250, 0., 8000 * k}});
histos.add("ROFbyROF/nPV_10x00_thisFT0C", "", kTH2D, {{250, 0., 80000 * k}, {250, 0., 8000 * k}});
histos.add("ROFbyROF/nPV_01x00_thisFT0C", "", kTH2D, {{250, 0., 80000 * k}, {250, 0., 8000 * k}});
histos.add("ROFbyROF/nPV_00x10_thisFT0C", "", kTH2D, {{250, 0., 80000 * k}, {250, 0., 8000 * k}});
histos.add("ROFbyROF/nPV_00x01_thisFT0C", "", kTH2D, {{250, 0., 80000 * k}, {250, 0., 8000 * k}});
// histos.add("ROFbyROF/nPV_11x11", "", kTH2D, {{250, 0., 8000 * k}, {250, 0., 8000 * k}});
// ### sub-ROFs:
histos.add("ROFbyROF/nPV_0_x00_0", "", kTH1D, {{250, 0., 8000 * k}});
histos.add("ROFbyROF/nPV_0_0x0_0", "", kTH1D, {{250, 0., 8000 * k}});
histos.add("ROFbyROF/nPV_0_00x_0", "", kTH1D, {{250, 0., 8000 * k}});
// corr with prev subROFs:
histos.add("ROFbyROF/nPV_0_00x_y00_000", "", kTH2D, {{250, 0., 8000 * k}, {250, 0., 8000 * k}});
histos.add("ROFbyROF/nPV_0_0x0_y00_000", "", kTH2D, {{250, 0., 8000 * k}, {250, 0., 8000 * k}});
histos.add("ROFbyROF/nPV_0_x00_y00_000", "", kTH2D, {{250, 0., 8000 * k}, {250, 0., 8000 * k}});
histos.add("ROFbyROF/nPV_0_00x_0y0_000", "", kTH2D, {{250, 0., 8000 * k}, {250, 0., 8000 * k}});
histos.add("ROFbyROF/nPV_0_0x0_0y0_000", "", kTH2D, {{250, 0., 8000 * k}, {250, 0., 8000 * k}});
histos.add("ROFbyROF/nPV_0_x00_0y0_000", "", kTH2D, {{250, 0., 8000 * k}, {250, 0., 8000 * k}});
histos.add("ROFbyROF/nPV_0_00x_00y_000", "", kTH2D, {{250, 0., 8000 * k}, {250, 0., 8000 * k}});
histos.add("ROFbyROF/nPV_0_0x0_00y_000", "", kTH2D, {{250, 0., 8000 * k}, {250, 0., 8000 * k}});
histos.add("ROFbyROF/nPV_0_x00_00y_000", "", kTH2D, {{250, 0., 8000 * k}, {250, 0., 8000 * k}});
// corr with next subROFs:
histos.add("ROFbyROF/nPV_000_y00_00x_0", "", kTH2D, {{250, 0., 8000 * k}, {250, 0., 8000 * k}});
histos.add("ROFbyROF/nPV_000_y00_0x0_0", "", kTH2D, {{250, 0., 8000 * k}, {250, 0., 8000 * k}});
histos.add("ROFbyROF/nPV_000_y00_x00_0", "", kTH2D, {{250, 0., 8000 * k}, {250, 0., 8000 * k}});
histos.add("ROFbyROF/nPV_000_0y0_00x_0", "", kTH2D, {{250, 0., 8000 * k}, {250, 0., 8000 * k}});
histos.add("ROFbyROF/nPV_000_0y0_0x0_0", "", kTH2D, {{250, 0., 8000 * k}, {250, 0., 8000 * k}});
histos.add("ROFbyROF/nPV_000_0y0_x00_0", "", kTH2D, {{250, 0., 8000 * k}, {250, 0., 8000 * k}});
histos.add("ROFbyROF/nPV_000_00y_00x_0", "", kTH2D, {{250, 0., 8000 * k}, {250, 0., 8000 * k}});
histos.add("ROFbyROF/nPV_000_00y_0x0_0", "", kTH2D, {{250, 0., 8000 * k}, {250, 0., 8000 * k}});
histos.add("ROFbyROF/nPV_000_00y_x00_0", "", kTH2D, {{250, 0., 8000 * k}, {250, 0., 8000 * k}});
// #### new occupancy studies
histos.add("nPV_vs_occupancyByTracks/sel8", "", kTH2D, {{125, 0., 8000 * k}, {100, 0., 25000 * k}});
histos.add("nPV_vs_occupancyByTracks/NoCollInTimeRangeNarrow", "", kTH2D, {{125, 0., 8000 * k}, {100, 0., 25000 * k}});
histos.add("nPV_vs_occupancyByTracks/NoCollInTimeRangeStrict", "", kTH2D, {{125, 0., 8000 * k}, {100, 0., 25000 * k}});
histos.add("nPV_vs_occupancyByTracks/NoCollInTimeRangeStandard", "", kTH2D, {{125, 0., 8000 * k}, {100, 0., 25000 * k}});
histos.add("nPV_vs_occupancyByTracks/NoCollInRofStrict", "", kTH2D, {{125, 0., 8000 * k}, {100, 0., 25000 * k}});
histos.add("nPV_vs_occupancyByTracks/NoCollInRofStandard", "", kTH2D, {{125, 0., 8000 * k}, {100, 0., 25000 * k}});
histos.add("nPV_vs_occupancyByTracks/NoCollInTimeAndRofStandard", "", kTH2D, {{125, 0., 8000 * k}, {100, 0., 25000 * k}});
histos.add("nPV_vs_occupancyByTracks/NoCollInTimeAndRofStrict", "", kTH2D, {{125, 0., 8000 * k}, {100, 0., 25000 * k}});
histos.add("nPV_vs_occupancyByTracks/NoCollInTimeAndRofStrict_vZ_5cm", "", kTH2D, {{125, 0., 8000 * k}, {100, 0., 25000 * k}});
histos.add("nPV_vs_occupancyByTracks/kNoHighMultCollInPrevRof", "", kTH2D, {{125, 0., 8000 * k}, {100, 0., 25000 * k}});
histos.add("nPV_vs_occupancyByTracks/kNoHighMultCollInPrevRofAndRofStrict", "", kTH2D, {{125, 0., 8000 * k}, {100, 0., 25000 * k}});
histos.add("nPV_vs_occupancyByFT0C/sel8", "", kTH2D, {{125, 0., 8000 * k}, {100, 0., 2.5e5 * k}});
histos.add("nPV_vs_occupancyByFT0C/NoCollInTimeRangeNarrow", "", kTH2D, {{125, 0., 8000 * k}, {100, 0., 2.5e5 * k}});
histos.add("nPV_vs_occupancyByFT0C/NoCollInTimeRangeStrict", "", kTH2D, {{125, 0., 8000 * k}, {100, 0., 2.5e5 * k}});
histos.add("nPV_vs_occupancyByFT0C/NoCollInTimeRangeStandard", "", kTH2D, {{125, 0., 8000 * k}, {100, 0., 2.5e5 * k}});
histos.add("nPV_vs_occupancyByFT0C/NoCollInRofStrict", "", kTH2D, {{125, 0., 8000 * k}, {100, 0., 2.5e5 * k}});
histos.add("nPV_vs_occupancyByFT0C/NoCollInRofStandard", "", kTH2D, {{125, 0., 8000 * k}, {100, 0., 2.5e5 * k}});
histos.add("nPV_vs_occupancyByFT0C/NoCollInTimeAndRofStandard", "", kTH2D, {{125, 0., 8000 * k}, {100, 0., 2.5e5 * k}});
histos.add("nPV_vs_occupancyByFT0C/NoCollInTimeAndRofStrict", "", kTH2D, {{125, 0., 8000 * k}, {100, 0., 2.5e5 * k}});
histos.add("nPV_vs_occupancyByFT0C/NoCollInTimeAndRofStrict_vZ_5cm", "", kTH2D, {{125, 0., 8000 * k}, {100, 0., 2.5e5 * k}});
histos.add("nPV_vs_occupancyByFT0C/kNoHighMultCollInPrevRof", "", kTH2D, {{125, 0., 8000 * k}, {100, 0., 2.5e5 * k}});
histos.add("nPV_vs_occupancyByFT0C/kNoHighMultCollInPrevRofAndRofStrict", "", kTH2D, {{125, 0., 8000 * k}, {100, 0., 2.5e5 * k}});
}
Partition<FullTracksIU> pvTracks = ((aod::track::flags & static_cast<uint32_t>(o2::aod::track::PVContributor)) == static_cast<uint32_t>(o2::aod::track::PVContributor));
// Partition<FullTracksIU> pvTracks = ((aod::track::flags & (uint32_t)o2::aod::track::PVContributor) == (uint32_t)o2::aod::track::PVContributor);
Preslice<FullTracksIU> perCollision = aod::track::collisionId;
using ColEvSels = soa::Join<aod::Collisions, aod::EvSels>; //, aod::Mults, aod::CentFT0Cs>;
void processRun3(ColEvSels const& cols, FullTracksIU const&, BCsWithBcSelsRun3 const& bcs, aod::FT0s const&)
{
int run = bcs.iteratorAt(0).runNumber();
// extract bc pattern from CCDB for data or anchored MC only
if (run != lastRun && run >= 500000) {
lastRun = run;
auto runInfo = o2::parameters::AggregatedRunInfo::buildAggregatedRunInfo(o2::ccdb::BasicCCDBManager::instance(), run);
// first bc of the first orbit
bcSOR = runInfo.orbitSOR * o2::constants::lhc::LHCMaxBunches;
// duration of TF in bcs
nBCsPerTF = runInfo.orbitsPerTF * o2::constants::lhc::LHCMaxBunches;
// extract ITS ROF parameters
int64_t ts = bcs.iteratorAt(0).timestamp();
auto alppar = ccdb->getForTimeStamp<o2::itsmft::DPLAlpideParam<0>>("ITS/Config/AlpideParam", ts);
rofOffset = alppar->roFrameBiasInBC;
rofLength = alppar->roFrameLengthInBC;
LOGP(info, "rofOffset={} rofLength={}", rofOffset, rofLength);
}
std::vector<int> vTracksITS567perColl(cols.size(), 0); // counter of tracks per collision for occupancy studies
std::vector<int> vTracksITSTPCperColl(cols.size(), 0); // counter of tracks per collision for occupancy studies
std::vector<int> vTracksITS567eta08perColl(cols.size(), 0); // counter of tracks per collision for occupancy studies
std::vector<float> vAmpFT0CperColl(cols.size(), 0); // amplitude FT0C per collision
std::vector<bool> vIsFullInfoForOccupancy(cols.size(), 0); // info for occupancy in +/- windows is available (i.e. a given coll is not too close to the TF borders)
const float timeWinOccupancyCalcMinNS = confTimeIntervalForOccupancyCalculationMin * 1e3; // ns
const float timeWinOccupancyCalcMaxNS = confTimeIntervalForOccupancyCalculationMax * 1e3; // ns
std::vector<bool> vIsVertexITSTPC(cols.size(), 0); // at least one of vertex contributors is ITS-TPC track
std::vector<bool> vIsVertexTOFmatched(cols.size(), 0); // at least one of vertex contributors is matched to TOF
std::vector<bool> vIsVertexTRDmatched(cols.size(), 0); // at least one of vertex contributors is matched to TRD
// std::vector<int> vCollisionsPerBc(bcs.size(), 0); // counter of collisions per found bc for pileup checks
std::vector<int> vFoundBCindex(cols.size(), -1); // indices of found bcs
std::vector<int64_t> vFoundGlobalBC(cols.size(), 0); // global BCs for collisions
std::vector<float> vCollVz(cols.size(), 0); // vector with vZ positions for each collision
std::vector<bool> vIsSel8(cols.size(), 0);
std::vector<bool> vCombCond(cols.size(), 0);
std::vector<int> vCollRofId(cols.size(), 0); // rof Id for each collision
std::vector<int> vCollRofIdPerOrbit(cols.size(), 0); // rof Id for each collision, per orbit
std::vector<int> vCollRofSubId(cols.size(), 0); // rof sub-Id for each collision
std::vector<int> vCollRofSubIdPerOrbit(cols.size(), 0); // rof sub-Id for each collision, per orbit
// first loop over collisions - collecting info
for (const auto& col : cols) {
int32_t colIndex = col.globalIndex();
// auto bc = col.bc_as<BCsWithBcSelsRun3>();
const auto& bc = col.foundBC_as<BCsWithBcSelsRun3>();
int64_t globalBC = bc.globalBC();
int32_t foundBC = bc.globalIndex();
vFoundBCindex[colIndex] = foundBC;
vFoundGlobalBC[colIndex] = globalBC; // bc.globalBC();
if (bc.has_foundFT0())
vAmpFT0CperColl[colIndex] = bc.foundFT0().sumAmpC();
vCollVz[colIndex] = col.posZ();
vIsSel8[colIndex] = col.sel8();
vCombCond[colIndex] = vIsSel8[colIndex] && (std::fabs(vCollVz[colIndex]) < 8) && (vAmpFT0CperColl[colIndex] > 500 /* a.u.*/);
int bcInTF = (bc.globalBC() - bcSOR) % nBCsPerTF;
vIsFullInfoForOccupancy[colIndex] = ((bcInTF - 300) * bcNS > -timeWinOccupancyCalcMinNS) && ((nBCsPerTF - 4000 - bcInTF) * bcNS > timeWinOccupancyCalcMaxNS) ? true : false;
// int64_t rofId = (globalBC + 3564 - rofOffset) / rofLength;
int rofId = (bcInTF - rofOffset) / rofLength;
vCollRofId[colIndex] = rofId;
int rofIdPerOrbit = rofId % (3564 / rofLength);
vCollRofIdPerOrbit[colIndex] = rofIdPerOrbit;
int bcInITSROF = (globalBC + 3564 - rofOffset) % rofLength;
int subRofId = bcInITSROF / (rofLength / 3);
vCollRofSubId[colIndex] = subRofId;
vCollRofSubIdPerOrbit[colIndex] = 3 * rofIdPerOrbit + subRofId;
// LOGP(info, ">> rofId={} rofIdPerOrbit={} subRofId={} vCollRofSubId={}", rofId, rofIdPerOrbit, subRofId, vCollRofSubId[colIndex]);
auto colPvTracks = pvTracks.sliceBy(perCollision, col.globalIndex());
for (const auto& track : colPvTracks) {
if (track.itsNCls() >= 5) {
vTracksITS567perColl[colIndex]++;
if (std::fabs(track.eta()) < 0.8)
vTracksITS567eta08perColl[colIndex]++;
if (track.tpcNClsFound() > 70)
vTracksITSTPCperColl[colIndex]++;
if (std::fabs(col.posZ()) < 1)
histos.fill(HIST("hEtaVz02"), track.eta());
else if (col.posZ() > 9.5 && col.posZ() < 10.5)
histos.fill(HIST("hEtaVzPlus10"), track.eta());
else if (col.posZ() > -10.5 && col.posZ() < -9.5)
histos.fill(HIST("hEtaVzMinus10"), track.eta());
else if (col.posZ() > 14.5 && col.posZ() < 15.5)
histos.fill(HIST("hEtaVzPlus15"), track.eta());
else if (col.posZ() > -15.5 && col.posZ() < -14.5)
histos.fill(HIST("hEtaVzMinus15"), track.eta());
histos.fill(HIST("hEtaVsVz"), col.posZ(), track.eta());
}
if (track.hasTRD())
vIsVertexTRDmatched[colIndex] = 1;
if (track.hasTPC())
vIsVertexITSTPC[colIndex] = 1;
if (track.hasTOF()) {
vIsVertexTOFmatched[colIndex] = 1;
}
}
if (col.sel8()) {
histos.fill(HIST("hNPVcontribVsVz"), col.posZ(), vTracksITS567perColl[colIndex]);
histos.fill(HIST("hNPVcontribVsVz_eta08"), col.posZ(), vTracksITS567eta08perColl[colIndex]);
}
}
// ROF-by-ROF study:
int nColls = vCombCond.size();
for (const auto& col : cols) {
int32_t k = col.globalIndex();
if (k - 2 < 0 || k + 2 > nColls - 1)
continue;
// the "purest case"
if (vCombCond[k]) {
if (vCollRofId[k - 1] < vCollRofId[k] - 2 && /* next coll is far */ vCollRofId[k + 1] > vCollRofId[k] + 2) // 00x00
histos.fill(HIST("ROFbyROF/nPV_00x00"), vTracksITS567perColl[k]);
if (vCollRofId[k - 1] < vCollRofId[k] - 1 && /* next coll is far */ vCollRofId[k + 1] > vCollRofId[k] + 1) // 0x0
{
if (vCollRofSubId[k] == 0)
histos.fill(HIST("ROFbyROF/nPV_0_x00_0"), vTracksITS567perColl[k]);
if (vCollRofSubId[k] == 1)
histos.fill(HIST("ROFbyROF/nPV_0_0x0_0"), vTracksITS567perColl[k]);
if (vCollRofSubId[k] == 2)
histos.fill(HIST("ROFbyROF/nPV_0_00x_0"), vTracksITS567perColl[k]);
}
}
// prev 1 coll
if (vCombCond[k] && vCombCond[k - 1]) {
if (vCollRofId[k - 2] < vCollRofId[k] - 2 && vCollRofId[k - 1] == vCollRofId[k] - 2 && /* next coll is far */ vCollRofId[k + 1] > vCollRofId[k] + 2) // 10x00
{
histos.fill(HIST("ROFbyROF/nPV_10x00"), vTracksITS567perColl[k - 1], vTracksITS567perColl[k]);
histos.fill(HIST("ROFbyROF/nPV_10x00_nearbyByFT0C"), vAmpFT0CperColl[k - 1], vTracksITS567perColl[k]);
histos.fill(HIST("ROFbyROF/nPV_10x00_thisFT0C"), vAmpFT0CperColl[k], vTracksITS567perColl[k]);
}
if (vCollRofId[k - 2] < vCollRofId[k] - 2 && vCollRofId[k - 1] == vCollRofId[k] - 1 && /* next coll is far */ vCollRofId[k + 1] > vCollRofId[k] + 2) // 01x00
{
histos.fill(HIST("ROFbyROF/nPV_01x00"), vTracksITS567perColl[k - 1], vTracksITS567perColl[k]);
histos.fill(HIST("ROFbyROF/nPV_01x00_nearbyByFT0C"), vAmpFT0CperColl[k - 1], vTracksITS567perColl[k]);
histos.fill(HIST("ROFbyROF/nPV_01x00_thisFT0C"), vAmpFT0CperColl[k], vTracksITS567perColl[k]);
}
if (vCollRofId[k - 2] < vCollRofId[k] - 2 && vCollRofId[k - 1] == vCollRofId[k] - 1 && /* next coll is far */ vCollRofId[k + 1] > vCollRofId[k] + 1) // 01x0
{
// sub-ROFs:
if (vCollRofSubId[k - 1] == 2 && vCollRofSubId[k] == 0)
histos.fill(HIST("ROFbyROF/nPV_0_00x_y00_000"), vTracksITS567perColl[k - 1], vTracksITS567perColl[k]);
if (vCollRofSubId[k - 1] == 1 && vCollRofSubId[k] == 0)
histos.fill(HIST("ROFbyROF/nPV_0_0x0_y00_000"), vTracksITS567perColl[k - 1], vTracksITS567perColl[k]);
if (vCollRofSubId[k - 1] == 0 && vCollRofSubId[k] == 0)
histos.fill(HIST("ROFbyROF/nPV_0_x00_y00_000"), vTracksITS567perColl[k - 1], vTracksITS567perColl[k]);
if (vCollRofSubId[k - 1] == 2 && vCollRofSubId[k] == 1)
histos.fill(HIST("ROFbyROF/nPV_0_00x_0y0_000"), vTracksITS567perColl[k - 1], vTracksITS567perColl[k]);
if (vCollRofSubId[k - 1] == 1 && vCollRofSubId[k] == 1)
histos.fill(HIST("ROFbyROF/nPV_0_0x0_0y0_000"), vTracksITS567perColl[k - 1], vTracksITS567perColl[k]);
if (vCollRofSubId[k - 1] == 0 && vCollRofSubId[k] == 1)
histos.fill(HIST("ROFbyROF/nPV_0_x00_0y0_000"), vTracksITS567perColl[k - 1], vTracksITS567perColl[k]);
if (vCollRofSubId[k - 1] == 2 && vCollRofSubId[k] == 2)
histos.fill(HIST("ROFbyROF/nPV_0_00x_00y_000"), vTracksITS567perColl[k - 1], vTracksITS567perColl[k]);
if (vCollRofSubId[k - 1] == 1 && vCollRofSubId[k] == 2)
histos.fill(HIST("ROFbyROF/nPV_0_0x0_00y_000"), vTracksITS567perColl[k - 1], vTracksITS567perColl[k]);
if (vCollRofSubId[k - 1] == 0 && vCollRofSubId[k] == 2)
histos.fill(HIST("ROFbyROF/nPV_0_x00_00y_000"), vTracksITS567perColl[k - 1], vTracksITS567perColl[k]);
}
}
// next 1 coll
if (vCombCond[k] && vCombCond[k + 1]) {
if (vCollRofId[k - 1] < vCollRofId[k] - 2 /* prev coll is far */ && vCollRofId[k + 1] == vCollRofId[k] + 1 && vCollRofId[k + 2] > vCollRofId[k] + 2) // 00x10
{
histos.fill(HIST("ROFbyROF/nPV_00x10"), vTracksITS567perColl[k + 1], vTracksITS567perColl[k]);
histos.fill(HIST("ROFbyROF/nPV_00x10_nearbyByFT0C"), vAmpFT0CperColl[k + 1], vTracksITS567perColl[k]);
histos.fill(HIST("ROFbyROF/nPV_00x10_thisFT0C"), vAmpFT0CperColl[k], vTracksITS567perColl[k]);
}
if (vCollRofId[k - 1] < vCollRofId[k] - 1 /* prev coll is far */ && vCollRofId[k + 1] == vCollRofId[k] + 1 && vCollRofId[k + 2] > vCollRofId[k] + 2) // 0x10
{
// sub-ROFs:
if (vCollRofSubId[k + 1] == 2 && vCollRofSubId[k] == 0)
histos.fill(HIST("ROFbyROF/nPV_000_y00_00x_0"), vTracksITS567perColl[k + 1], vTracksITS567perColl[k]);
if (vCollRofSubId[k + 1] == 1 && vCollRofSubId[k] == 0)
histos.fill(HIST("ROFbyROF/nPV_000_y00_0x0_0"), vTracksITS567perColl[k + 1], vTracksITS567perColl[k]);
if (vCollRofSubId[k + 1] == 0 && vCollRofSubId[k] == 0)
histos.fill(HIST("ROFbyROF/nPV_000_y00_x00_0"), vTracksITS567perColl[k + 1], vTracksITS567perColl[k]);
if (vCollRofSubId[k + 1] == 2 && vCollRofSubId[k] == 1)
histos.fill(HIST("ROFbyROF/nPV_000_0y0_00x_0"), vTracksITS567perColl[k + 1], vTracksITS567perColl[k]);
if (vCollRofSubId[k + 1] == 1 && vCollRofSubId[k] == 1)
histos.fill(HIST("ROFbyROF/nPV_000_0y0_0x0_0"), vTracksITS567perColl[k + 1], vTracksITS567perColl[k]);
if (vCollRofSubId[k + 1] == 0 && vCollRofSubId[k] == 1)
histos.fill(HIST("ROFbyROF/nPV_000_0y0_x00_0"), vTracksITS567perColl[k + 1], vTracksITS567perColl[k]);
if (vCollRofSubId[k + 1] == 2 && vCollRofSubId[k] == 2)
histos.fill(HIST("ROFbyROF/nPV_000_00y_00x_0"), vTracksITS567perColl[k + 1], vTracksITS567perColl[k]);
if (vCollRofSubId[k + 1] == 1 && vCollRofSubId[k] == 2)
histos.fill(HIST("ROFbyROF/nPV_000_00y_0x0_0"), vTracksITS567perColl[k + 1], vTracksITS567perColl[k]);
if (vCollRofSubId[k + 1] == 0 && vCollRofSubId[k] == 2)
histos.fill(HIST("ROFbyROF/nPV_000_00y_x00_0"), vTracksITS567perColl[k + 1], vTracksITS567perColl[k]);
}
if (vCollRofId[k - 1] < vCollRofId[k] - 2 /* prev coll is far */ && vCollRofId[k + 1] == vCollRofId[k] + 2 && vCollRofId[k + 2] > vCollRofId[k] + 2) // 00x01
{
histos.fill(HIST("ROFbyROF/nPV_00x01"), vTracksITS567perColl[k + 1], vTracksITS567perColl[k]);
histos.fill(HIST("ROFbyROF/nPV_00x01_nearbyByFT0C"), vAmpFT0CperColl[k + 1], vTracksITS567perColl[k]);
histos.fill(HIST("ROFbyROF/nPV_00x01_thisFT0C"), vAmpFT0CperColl[k], vTracksITS567perColl[k]);
}
}
// 2 colls
if (vCombCond[k] && vCombCond[k - 1] && vCombCond[k - 2]) {
if (vCollRofId[k - 2] == vCollRofId[k] - 2 && vCollRofId[k - 1] == vCollRofId[k] - 1 && vCollRofId[k + 1] > vCollRofId[k] + 2) // 11x00
histos.fill(HIST("ROFbyROF/nPV_11x00"), vTracksITS567perColl[k - 1], vTracksITS567perColl[k]);
}
if (vCombCond[k] && vCombCond[k - 1] && vCombCond[k + 1]) {
if (vCollRofId[k - 2] < vCollRofId[k] - 2 && vCollRofId[k - 1] == vCollRofId[k] - 1 && vCollRofId[k + 1] == vCollRofId[k] + 1 && vCollRofId[k + 2] > vCollRofId[k] + 2) // 01x10
histos.fill(HIST("ROFbyROF/nPV_01x10"), vTracksITS567perColl[k - 1], vTracksITS567perColl[k]);
}
if (vCombCond[k] && vCombCond[k + 1] && vCombCond[k + 2]) {
if (vCollRofId[k - 1] < vCollRofId[k] - 2 && vCollRofId[k + 1] == vCollRofId[k] + 1 && vCollRofId[k + 2] == vCollRofId[k] + 2) // 00x11
histos.fill(HIST("ROFbyROF/nPV_00x11"), vTracksITS567perColl[k + 1], vTracksITS567perColl[k]);
}
// many colls around
// histos.add("ROFbyROF/nPV_11x11", "", kTH2D, {{250, 0., 8000 * k}, {250, 0., 8000 * k}});
}
// save indices of collisions in time range for occupancy calculation
std::vector<std::vector<int>> vCollsInTimeWin;
std::vector<std::vector<int>> vCollsInSameITSROF;
std::vector<std::vector<float>> vTimeDeltaForColls; // delta time wrt a given collision
for (const auto& col : cols) {
int32_t colIndex = col.globalIndex();
int64_t foundGlobalBC = vFoundGlobalBC[colIndex];
// int bcInTF = (foundGlobalBC - bcSOR) % nBCsPerTF;
// int bcInITSROF = (foundGlobalBC + 3564 - rofOffset) % rofLength;
int64_t tfId = (foundGlobalBC - bcSOR) / nBCsPerTF;
int64_t rofId = (foundGlobalBC + 3564 - rofOffset) / rofLength;
// int rofIdInTF = (bcInTF - rofOffset) / rofLength;
// ### in-ROF occupancy
std::vector<int> vAssocToSameROF;
// find all collisions in the same ROF before a given collision
int32_t minColIndex = colIndex - 1;
while (minColIndex >= 0) {
int64_t thisBC = vFoundGlobalBC[minColIndex];
// check if this is still the same TF
int64_t thisTFid = (thisBC - bcSOR) / nBCsPerTF;
if (thisTFid != tfId)
break;
// int thisRofIdInTF = (thisBC - rofOffset) / rofLength;
int64_t thisRofId = (thisBC + 3564 - rofOffset) / rofLength;
// check if we are within the same ROF
if (thisRofId != rofId)
break;
vAssocToSameROF.push_back(minColIndex);
minColIndex--;
}
// find all collisions in the same ROF after the current one
int32_t maxColIndex = colIndex + 1;
while (maxColIndex < cols.size()) {
int64_t thisBC = vFoundGlobalBC[maxColIndex];
int64_t thisTFid = (thisBC - bcSOR) / nBCsPerTF;
if (thisTFid != tfId)
break;
// int thisRofIdInTF = (thisBC - rofOffset) / rofLength;
int64_t thisRofId = (thisBC + 3564 - rofOffset) / rofLength;
if (thisRofId != rofId)
break;
vAssocToSameROF.push_back(maxColIndex);
maxColIndex++;
}
vCollsInSameITSROF.push_back(vAssocToSameROF);
// ### occupancy in time windows
std::vector<int> vAssocToThisCol;
std::vector<float> vCollsTimeDeltaWrtGivenColl;
// protection against the TF borders
if (!vIsFullInfoForOccupancy[colIndex]) {
vCollsInTimeWin.push_back(vAssocToThisCol);
vTimeDeltaForColls.push_back(vCollsTimeDeltaWrtGivenColl);
continue;
}
// find all collisions in time window before the current one
minColIndex = colIndex - 1;
while (minColIndex >= 0) {
int64_t thisBC = vFoundGlobalBC[minColIndex];
// check if this is still the same TF
int64_t thisTFid = (thisBC - bcSOR) / nBCsPerTF;
if (thisTFid != tfId)
break;
float dt = (thisBC - foundGlobalBC) * bcNS; // ns
// check if we are within the chosen time range
if (dt < timeWinOccupancyCalcMinNS)
break;
vAssocToThisCol.push_back(minColIndex);
vCollsTimeDeltaWrtGivenColl.push_back(dt);
minColIndex--;
}
// find all collisions in time window after the current one
maxColIndex = colIndex + 1;
while (maxColIndex < cols.size()) {
int64_t thisBC = vFoundGlobalBC[maxColIndex];
int64_t thisTFid = (thisBC - bcSOR) / nBCsPerTF;
if (thisTFid != tfId)
break;
float dt = (thisBC - foundGlobalBC) * bcNS; // ns
if (dt > timeWinOccupancyCalcMaxNS)
break;
vAssocToThisCol.push_back(maxColIndex);
vCollsTimeDeltaWrtGivenColl.push_back(dt);
maxColIndex++;
}
vCollsInTimeWin.push_back(vAssocToThisCol);
vTimeDeltaForColls.push_back(vCollsTimeDeltaWrtGivenColl);
}
// perform the occupancy calculation per ITS ROF and also in the pre-defined time window
std::vector<int> vNumTracksITS567inFullTimeWin(cols.size(), 0); // counter of tracks in full time window for occupancy studies (excluding given event)
std::vector<float> vSumAmpFT0CinFullTimeWin(cols.size(), 0); // sum of FT0C of tracks in full time window for occupancy studies (excluding given event)
std::vector<int> vNumTracksITS567inROF(cols.size(), 0); // counter of tracks in given ROF (excluding given event)
std::vector<int> vSumAmpFT0CinROF(cols.size(), 0); // counter of tracks in given ROF (excluding given event)
std::vector<int> vNumCollinROF(cols.size(), 0); // counter of tracks in given ROF (excluding given event)
std::vector<int> vNumCollinROFinVz10(cols.size(), 0); // counter of tracks in given ROF (excluding given event)
std::vector<int> vInROFcollIndex(cols.size(), 0); // counter of tracks in given ROF (excluding given event)
std::vector<int> vROFidThisColl(cols.size(), 0); // counter of tracks in given ROF (excluding given event)
std::vector<bool> vNoCollInTimeRangeStrict(cols.size(), 0); // no collisions in a specified time range
std::vector<bool> vNoCollInTimeRangeNarrow(cols.size(), 0); // no collisions in a specified time range (narrow)
std::vector<bool> vNoHighMultCollInTimeRange(cols.size(), 0); // no high-mult collisions in a specified time range
std::vector<bool> vNoCollInVzDependentTimeRange(cols.size(), 0); // no collisions in a vZ-dependent time range
std::vector<bool> vNoCollInSameRofStrict(cols.size(), 0); // to veto events with other collisions in the same ITS ROF
std::vector<bool> vNoCollInSameRofStandard(cols.size(), 0); // to veto events with other collisions in the same ITS ROF, with per-collision multiplicity above threshold
std::vector<bool> vNoCollInSameRofWithCloseVz(cols.size(), 0); // to veto events with nearby collisions with close vZ
std::vector<std::vector<bool>> vArrNoCollInSameRofWithCloseVz; //(cols.size(), 0); // to veto events with nearby collisions with close vZ
for (const auto& col : cols) {
int32_t colIndex = col.globalIndex();
float vZ = col.posZ();
// QA:
if (vAmpFT0CperColl[colIndex] > 5000) {
histos.fill(HIST("hThisEvITStr_vs_vZ"), vZ, vTracksITS567perColl[colIndex]);
histos.fill(HIST("hThisEvITSTPCtr_vs_vZ"), vZ, vTracksITSTPCperColl[colIndex]);
}
// ### in-ROF occupancy
// int64_t rofId = (vFoundGlobalBC[colIndex] + 3564 - rofOffset) / rofLength;
// int bcInTF = (vFoundGlobalBC[colIndex] - bcSOR) % nBCsPerTF;
int bcInITSROF = (vFoundGlobalBC[colIndex] + 3564 - rofOffset) % rofLength;
int rofIdInTF = (vFoundGlobalBC[colIndex] + 3564 - rofOffset) / rofLength;
// auto bc = bcs.iteratorAt(vFoundBCindex[colIndex]);
// LOGP(info, "#### starting new coll: bc={} bcInTF={} bcInITSROF={} rofId={}; noROFborder={}; rofOffset={} rofLength={}", vFoundGlobalBC[colIndex], bcInTF, bcInITSROF, rofId, bc.selection_bit(kNoITSROFrameBorder), rofOffset, rofLength);
// LOGP(info, "#### starting new coll: bcInTF={} bcInITSROF={} rofIdInTF={}; noROFborder={}, vZ={} mult={}; rofOffset={} rofLength={}", bcInTF, bcInITSROF, rofIdInTF, bc.selection_bit(kNoITSROFrameBorder), vZ, vTracksITS567perColl[colIndex], rofOffset, rofLength);
std::vector<int> vAssocToSameROF = vCollsInSameITSROF[colIndex];
int nITS567tracksForRofVetoStrict = 0; // to veto events with other collisions in the same ITS ROF
float nSumAmplFT0CforRofVetoStrict = 0; // to veto events with other collisions in the same ITS ROF
// int nITS567tracksForRofVetoStandard = 0; // to veto events with other collisions in the same ITS ROF, with per-collision multiplicity above threshold
int nCollsInRofWithFT0CAboveVetoStandard = 0; // to veto events with other collisions in the same ITS ROF, with per-collision multiplicity above threshold
int nITS567tracksForRofVetoOnCloseVz = 0; // to veto events with nearby collisions with close vZ
int nArrITS567tracksForRofVetoOnCloseVz[200] = {}; // to veto events with nearby collisions with close vZ
vNumCollinROF[colIndex] = 1;
vInROFcollIndex[colIndex] = 0;
vROFidThisColl[colIndex] = rofIdInTF;
if (std::fabs(vZ) < 10)
vNumCollinROFinVz10[colIndex] = 1;
for (uint32_t iCol = 0; iCol < vAssocToSameROF.size(); iCol++) {
int thisColIndex = vAssocToSameROF[iCol];
// int64_t thisRofId = (vFoundGlobalBC[thisColIndex] + 3564 - rofOffset) / rofLength;
// int thisBcInTF = (vFoundGlobalBC[thisColIndex] - bcSOR) % nBCsPerTF;
int thisBcInITSROF = (vFoundGlobalBC[thisColIndex] + 3564 - rofOffset) % rofLength;
// int thisRofIdInTF = (vFoundGlobalBC[thisColIndex] + 3564 - rofOffset) / rofLength;
// auto bcAssoc = bcs.iteratorAt(vFoundBCindex[thisColIndex]);
// LOGP(info, ">> assoc: bc={} bcInTF={} bcInITSROF={} rofId={} noROFborder={}", vFoundGlobalBC[thisColIndex], thisBcInTF, thisBcInITSROF, thisRofId, bcAssoc.selection_bit(kNoITSROFrameBorder));
// LOGP(info, ">> assoc: bcInTF={} bcInITSROF={} rofIdInTF={} noROFborder={} vZ={} mult={}", thisBcInTF, thisBcInITSROF, thisRofIdInTF, bcAssoc.selection_bit(kNoITSROFrameBorder), vCollVz[thisColIndex], vTracksITS567perColl[thisColIndex]);
// if (std::fabs(vTracksITS567perColl[thisColIndex]) > confNtracksCutVetoOnCollInROF)
nITS567tracksForRofVetoStrict += vTracksITS567perColl[thisColIndex];
nSumAmplFT0CforRofVetoStrict += vAmpFT0CperColl[thisColIndex];
vNumCollinROF[colIndex]++;
if (std::fabs(vCollVz[thisColIndex]) < 10)
vNumCollinROFinVz10[colIndex]++;
vInROFcollIndex[colIndex] = thisBcInITSROF > bcInITSROF ? 0 : 1; // if colIndex is for the first coll in ROF => inROFindex=0, otherwise =1
// if (vTracksITS567perColl[thisColIndex] > confNtracksCutVetoOnCollInROF)
// nITS567tracksForRofVetoStandard += vTracksITS567perColl[thisColIndex];
if (vAmpFT0CperColl[thisColIndex] > confFT0CamplCutVetoOnCollInROF)
nCollsInRofWithFT0CAboveVetoStandard++;
if (std::fabs(vCollVz[thisColIndex] - vZ) < confEpsilonVzDiffVetoInROF)
nITS567tracksForRofVetoOnCloseVz += vTracksITS567perColl[thisColIndex];
for (int i = 0; i < 200; i++) {
// if (std::fabs(vCollVz[thisColIndex] - vZ) < 0.05 * i && vTracksITS567perColl[thisColIndex] > 50)
// if (vTracksITS567perColl[colIndex]>100 && vTracksITS567perColl[colIndex]<1000 &&
if (vAmpFT0CperColl[colIndex] > 4000 && vAmpFT0CperColl[colIndex] < 15000 &&
(vCollVz[thisColIndex] - vZ) > 0.05 * i && std::fabs(vCollVz[thisColIndex] - vZ) < (0.1 + 0.05) * i && vTracksITS567perColl[thisColIndex] > 20) // 0.05 * (i + 1))
// std::fabs(vCollVz[thisColIndex] - vZ) < 0.05 * i && vTracksITS567perColl[thisColIndex] > 30) // 0.05 * (i + 1))
nArrITS567tracksForRofVetoOnCloseVz[i]++;
}
if (std::fabs(vZ) < 10) {
histos.fill(HIST("hDeltaVz"), vCollVz[thisColIndex] - vZ);
if (vTracksITS567perColl[colIndex] >= 100 && vTracksITS567perColl[thisColIndex] < 100)
histos.fill(HIST("hDeltaVzGivenCollAbove100NearbyBelow100"), vCollVz[thisColIndex] - vZ);
if (vTracksITS567perColl[colIndex] <= 100 && vTracksITS567perColl[thisColIndex] > 100)
histos.fill(HIST("hDeltaVzGivenCollBelow100NearbyAbove100"), vCollVz[thisColIndex] - vZ);
if (vTracksITS567perColl[colIndex] > 20 && vTracksITS567perColl[thisColIndex] > 20)
histos.fill(HIST("hDeltaVzAfterCuts"), vCollVz[thisColIndex] - vZ);
if (col.sel8()) // bc.selection_bit(kIsTriggerTVX) && bc.selection_bit(kNoTimeFrameBorder) && bc.selection_bit(kNoITSROFrameBorder))
histos.fill(HIST("hDeltaVzAfterTFandROFborderCuts"), vCollVz[thisColIndex] - vZ);
if (vTracksITS567perColl[colIndex] > 20 && vTracksITS567perColl[thisColIndex] > 20 && col.sel8()) // bc.selection_bit(kIsTriggerTVX) && bc.selection_bit(kNoTimeFrameBorder) && bc.selection_bit(kNoITSROFrameBorder))
histos.fill(HIST("hDeltaVzAfterAllCuts"), vCollVz[thisColIndex] - vZ);
}
}
vNumTracksITS567inROF[colIndex] = nITS567tracksForRofVetoStrict; // occupancy in ROF (excluding a given collision)
vSumAmpFT0CinROF[colIndex] = nSumAmplFT0CforRofVetoStrict; // occupancy in ROF (excluding a given collision)
// in-ROF occupancy flags
vNoCollInSameRofStrict[colIndex] = (nITS567tracksForRofVetoStrict == 0);
// vNoCollInSameRofStandard[colIndex] = (nITS567tracksForRofVetoStandard == 0);
vNoCollInSameRofStandard[colIndex] = (nCollsInRofWithFT0CAboveVetoStandard == 0);
vNoCollInSameRofWithCloseVz[colIndex] = (nITS567tracksForRofVetoOnCloseVz == 0);
std::vector<bool> vVzCutThisColl;
// ### occupancy in time windows
// protection against TF borders
if (!vIsFullInfoForOccupancy[colIndex]) { // occupancy in undefined (too close to TF borders)
vNumTracksITS567inFullTimeWin[colIndex] = -1;
vSumAmpFT0CinFullTimeWin[colIndex] = -1;
// vNumTracksITS567inROF[colIndex] = -1;
vArrNoCollInSameRofWithCloseVz.push_back(vVzCutThisColl);
continue;
}
std::vector<int> vAssocToThisCol = vCollsInTimeWin[colIndex];
std::vector<float> vCollsTimeDeltaWrtGivenColl = vTimeDeltaForColls[colIndex];
int nITS567tracksInFullTimeWindow = 0;
int sumAmpFT0CInFullTimeWindow = 0;
int nITS567tracksForVetoNarrow = 0; // to veto events with nearby collisions (narrower range)
int nITS567tracksForVetoStrict = 0; // to veto events with nearby collisions
int nITS567tracksForVetoStandard = 0; // to veto events with per-collision multiplicity above threshold
int nITS567tracksForVetoVzDependent = 0; // to veto events with nearby collisions, vZ-dependent time cut
for (uint32_t iCol = 0; iCol < vAssocToThisCol.size(); iCol++) {
int thisColIndex = vAssocToThisCol[iCol];
float dt = vCollsTimeDeltaWrtGivenColl[iCol] / 1e3; // ns -> us
histos.fill(HIST("hDeltaTime"), dt);
if (vTracksITS567perColl[colIndex] > 50 && vTracksITS567perColl[thisColIndex] > 50)
histos.fill(HIST("hDeltaTimeAboveNtracksCut"), dt);
if (std::fabs(vCollVz[colIndex]) < 10 && std::fabs(vCollVz[thisColIndex]) < 10)
histos.fill(HIST("hDeltaTime_vZ10cm"), dt);
if (vIsSel8[colIndex] && vIsSel8[thisColIndex])
histos.fill(HIST("hDeltaTime_sel8"), dt);
if (std::fabs(vCollVz[colIndex]) < 10 && vIsSel8[colIndex] && std::fabs(vCollVz[thisColIndex]) < 10 && vIsSel8[thisColIndex]) {
histos.fill(HIST("hDeltaTime_sel8_vZ10cm"), dt);
if (vTracksITS567perColl[colIndex] > 50 && vTracksITS567perColl[thisColIndex] > 50)
histos.fill(HIST("hDeltaTimeAboveNtracksCut_sel8_vZ10cm"), dt);
}
float wOccup = 1.;
if (confUseWeightsForOccupancyVariable) {
// weighted occupancy
wOccup = 0;
if (dt >= -40 && dt < -5) // collisions in the past
wOccup = 1. / 1225 * (dt + 40) * (dt + 40);
else if (dt >= -5 && dt < 15) // collisions near a given one
wOccup = 1;
// else if (dt >= 15 && dt < 100) // collisions from the future
// wOccup = -1. / 85 * dt + 20. / 17;
else if (dt >= 15 && dt < 40) // collisions from the future
wOccup = -0.4 / 25 * dt + 1.24;
else if (dt >= 40 && dt < 100) // collisions from the distant future
wOccup = -0.4 / 60 * dt + 0.6 + 0.8 / 3;
if (wOccup > 0)
histos.fill(HIST("hOccupancyWeights"), dt, wOccup);
}
nITS567tracksInFullTimeWindow += wOccup * vTracksITS567perColl[thisColIndex];
sumAmpFT0CInFullTimeWindow += wOccup * vAmpFT0CperColl[thisColIndex];
// counting tracks from other collisions in fixed time windows
if (std::fabs(dt) < confTimeRangeVetoOnCollNarrow)
nITS567tracksForVetoNarrow += vTracksITS567perColl[thisColIndex];
if (std::fabs(dt) < confTimeRangeVetoOnCollStandard)
nITS567tracksForVetoStrict += vTracksITS567perColl[thisColIndex];
// if (std::fabs(dt) < confTimeRangeVetoOnCollStandard + 0.5) { // add 0.5 us safety margin
// standard cut on other collisions vs delta-times
const float driftV = 2.5; // drift velocity in cm/us, TPC drift_length / drift_time = 250 cm / 100 us
if (std::fabs(dt) < 2.0) { // us, complete veto on other collisions
nITS567tracksForVetoStandard += vTracksITS567perColl[thisColIndex];
} else if (dt > -4.0 && dt <= -2.0) { // us, strict veto to suppress fake ITS-TPC matches more
if (vTracksITS567perColl[thisColIndex] > confNtracksCutVetoOnCollInTimeRange / 5)
nITS567tracksForVetoStandard += vTracksITS567perColl[thisColIndex];
} else if (std::fabs(dt) < 8 + std::fabs(vZ) / driftV) { // loose veto, 8 us corresponds to maximum possible |vZ|, which is ~20 cm
// counting number of other collisions with mult above threshold
if (vTracksITS567perColl[thisColIndex] > confNtracksCutVetoOnCollInTimeRange)
nITS567tracksForVetoStandard += vTracksITS567perColl[thisColIndex];
}
// vZ-dependent time cut to avoid collinear tracks from other collisions (experimental)
if (std::fabs(dt) < 8 + std::fabs(vZ) / driftV) {
if (dt < 0) {
// check distance between given vZ and (moving in two directions) vZ of drifting tracks from past collisions
if ((std::fabs(vCollVz[thisColIndex] - std::fabs(dt) * driftV - vZ) < confEpsilonDistanceForVzDependentVetoTPC) ||
(std::fabs(vCollVz[thisColIndex] + std::fabs(dt) * driftV - vZ) < confEpsilonDistanceForVzDependentVetoTPC))
nITS567tracksForVetoVzDependent += vTracksITS567perColl[thisColIndex];
// FOR QA:
if (std::fabs(vCollVz[thisColIndex] - std::fabs(dt) * driftV - vZ) < confEpsilonDistanceForVzDependentVetoTPC)
histos.fill(HIST("hDeltaVzVsDeltaTime1"), vCollVz[thisColIndex] - std::fabs(dt) * driftV - vZ, dt);
if (std::fabs(vCollVz[thisColIndex] + std::fabs(dt) * driftV - vZ) < confEpsilonDistanceForVzDependentVetoTPC)
histos.fill(HIST("hDeltaVzVsDeltaTime2"), vCollVz[thisColIndex] + std::fabs(dt) * driftV - vZ, dt);
} else { // dt>0
// check distance between drifted vZ of given collision (in two directions) and vZ of future collisions
if ((std::fabs(vZ - dt * driftV - vCollVz[thisColIndex]) < confEpsilonDistanceForVzDependentVetoTPC) ||
(std::fabs(vZ + dt * driftV - vCollVz[thisColIndex]) < confEpsilonDistanceForVzDependentVetoTPC))
nITS567tracksForVetoVzDependent += vTracksITS567perColl[thisColIndex];
// FOR QA:
if (std::fabs(vZ - dt * driftV - vCollVz[thisColIndex]) < confEpsilonDistanceForVzDependentVetoTPC)
histos.fill(HIST("hDeltaVzVsDeltaTime3"), vZ - dt * driftV - vCollVz[thisColIndex], dt);
if (std::fabs(vZ + dt * driftV - vCollVz[thisColIndex]) < confEpsilonDistanceForVzDependentVetoTPC)
histos.fill(HIST("hDeltaVzVsDeltaTime4"), vZ + dt * driftV - vCollVz[thisColIndex], dt);
}
}
}
vNumTracksITS567inFullTimeWin[colIndex] = nITS567tracksInFullTimeWindow; // occupancy by ITS tracks (without a current collision)
vSumAmpFT0CinFullTimeWin[colIndex] = sumAmpFT0CInFullTimeWindow; // occupancy by FT0C (without a current collision)
// occupancy flags based on nearby collisions
vNoCollInTimeRangeNarrow[colIndex] = (nITS567tracksForVetoNarrow == 0);
vNoCollInTimeRangeStrict[colIndex] = (nITS567tracksForVetoStrict == 0);
vNoHighMultCollInTimeRange[colIndex] = (nITS567tracksForVetoStandard == 0);
vNoCollInVzDependentTimeRange[colIndex] = (nITS567tracksForVetoVzDependent == 0);
for (int i = 0; i < 200; i++)
vVzCutThisColl.push_back(nArrITS567tracksForRofVetoOnCloseVz[i] == 0);
vArrNoCollInSameRofWithCloseVz.push_back(vVzCutThisColl);
}
for (const auto& col : cols) {
int32_t colIndex = col.globalIndex();
bool sel8 = col.sel8(); // bc.selection_bit(kIsTriggerTVX) && bc.selection_bit(kNoTimeFrameBorder) && bc.selection_bit(kNoITSROFrameBorder);
float vZ = vCollVz[colIndex];
int occTracks = col.trackOccupancyInTimeRange();
float occFT0C = col.ft0cOccupancyInTimeRange();
if (sel8) {
// histos.fill(HIST("hColCounterAcc"),Form("%d", bc.runNumber()), 1);
if (vInROFcollIndex[colIndex] == 0)
histos.fill(HIST("hNcollPerROF"), vNumCollinROF[colIndex]);
histos.fill(HIST("hVz"), vZ);
int nPV = vTracksITS567perColl[colIndex];
float ft0C = vAmpFT0CperColl[colIndex];
// ROF-by-ROF
if (std::fabs(vZ) < 8) {
histos.fill(HIST("ROFbyROF/nPV_vs_ROFid"), nPV, vCollRofIdPerOrbit[colIndex]);
histos.fill(HIST("ROFbyROF/nPV_vs_subROFid"), nPV, vCollRofSubIdPerOrbit[colIndex]);
histos.fill(HIST("ROFbyROF/FT0C_vs_ROFid"), ft0C, vCollRofIdPerOrbit[colIndex]);
histos.fill(HIST("ROFbyROF/FT0C_vs_subROFid"), ft0C, vCollRofSubIdPerOrbit[colIndex]);
}
// vs occupancy
if (occTracks >= 0 && std::fabs(vZ) < 8) {
histos.fill(HIST("nPV_vs_occupancyByTracks/sel8"), nPV, occTracks);
if (col.selection_bit(kNoCollInTimeRangeNarrow))
histos.fill(HIST("nPV_vs_occupancyByTracks/NoCollInTimeRangeNarrow"), nPV, occTracks);
if (col.selection_bit(kNoCollInTimeRangeStrict))
histos.fill(HIST("nPV_vs_occupancyByTracks/NoCollInTimeRangeStrict"), nPV, occTracks);
if (col.selection_bit(kNoCollInTimeRangeStandard))
histos.fill(HIST("nPV_vs_occupancyByTracks/NoCollInTimeRangeStandard"), nPV, occTracks);
if (col.selection_bit(kNoCollInRofStrict))
histos.fill(HIST("nPV_vs_occupancyByTracks/NoCollInRofStrict"), nPV, occTracks);
if (col.selection_bit(kNoCollInRofStandard))
histos.fill(HIST("nPV_vs_occupancyByTracks/NoCollInRofStandard"), nPV, occTracks);
if (col.selection_bit(kNoCollInTimeRangeStandard) && col.selection_bit(kNoCollInRofStandard))
histos.fill(HIST("nPV_vs_occupancyByTracks/NoCollInTimeAndRofStandard"), nPV, occTracks);
if (col.selection_bit(kNoCollInTimeRangeStrict) && col.selection_bit(kNoCollInRofStrict))
histos.fill(HIST("nPV_vs_occupancyByTracks/NoCollInTimeAndRofStrict"), nPV, occTracks);
if (col.selection_bit(kNoCollInTimeRangeStrict) && col.selection_bit(kNoCollInRofStrict) && std::fabs(vZ) < 5)
histos.fill(HIST("nPV_vs_occupancyByTracks/NoCollInTimeAndRofStrict_vZ_5cm"), nPV, occTracks);
if (col.selection_bit(kNoHighMultCollInPrevRof))
histos.fill(HIST("nPV_vs_occupancyByTracks/kNoHighMultCollInPrevRof"), nPV, occTracks);
if (col.selection_bit(kNoHighMultCollInPrevRof) && col.selection_bit(kNoCollInRofStrict))
histos.fill(HIST("nPV_vs_occupancyByTracks/kNoHighMultCollInPrevRofAndRofStrict"), nPV, occTracks);
}
if (occFT0C >= 0 && std::fabs(vZ) < 8) {
histos.fill(HIST("nPV_vs_occupancyByFT0C/sel8"), nPV, occFT0C);
if (col.selection_bit(kNoCollInTimeRangeNarrow))
histos.fill(HIST("nPV_vs_occupancyByFT0C/NoCollInTimeRangeNarrow"), nPV, occFT0C);
if (col.selection_bit(kNoCollInTimeRangeStrict))