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5 changes: 5 additions & 0 deletions Analysis/Tasks/PWGDQ/CMakeLists.txt
Original file line number Diff line number Diff line change
Expand Up @@ -22,3 +22,8 @@ o2_add_dpl_workflow(table-maker-pp
SOURCES tableMaker_pp.cxx
PUBLIC_LINK_LIBRARIES O2::Framework O2::AnalysisDataModel O2::DetectorsBase O2::AnalysisCore
COMPONENT_NAME Analysis)

o2_add_dpl_workflow(table-maker-muon-pp
SOURCES tableMakerMuon_pp.cxx
PUBLIC_LINK_LIBRARIES O2::Framework O2::AnalysisDataModel O2::DetectorsBase O2::AnalysisCore
COMPONENT_NAME Analysis)
172 changes: 172 additions & 0 deletions Analysis/Tasks/PWGDQ/tableMakerMuon_pp.cxx
Original file line number Diff line number Diff line change
@@ -0,0 +1,172 @@
// Copyright CERN and copyright holders of ALICE O2. This software is
// distributed under the terms of the GNU General Public License v3 (GPL
// Version 3), copied verbatim in the file "COPYING".
//
// See http://alice-o2.web.cern.ch/license for full licensing information.
//
// 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.
//
// Contact: iarsene@cern.ch, i.c.arsene@fys.uio.no
//
#include "Framework/runDataProcessing.h"
#include "Framework/AnalysisTask.h"
#include "Framework/AnalysisDataModel.h"
#include "Framework/ASoAHelpers.h"
#include "Analysis/Multiplicity.h"
#include "Analysis/EventSelection.h"
#include "Analysis/Centrality.h"
#include "Analysis/TriggerAliases.h"
#include "Analysis/ReducedInfoTables.h"
#include "Analysis/VarManager.h"
#include "Analysis/HistogramManager.h"
#include "Analysis/AnalysisCut.h"
#include "Analysis/AnalysisCompositeCut.h"
#include "PID/PIDResponse.h"
#include "Analysis/TrackSelectionTables.h"
#include <iostream>

using std::cout;
using std::endl;

using namespace o2;
using namespace o2::framework;
//using namespace o2::framework::expressions;
using namespace o2::aod;

using MyEvents = soa::Join<aod::Collisions, aod::EvSels>;

// HACK: In order to be able to deduce which kind of aod object is transmitted to the templated VarManager::Fill functions
// a constexpr static bit map must be defined and sent as template argument
// The user has to include in this bit map all the tables needed in analysis, as defined in VarManager::ObjTypes
// Additionally, one should make sure that the requested tables are actually provided in the process() function,
// otherwise a compile time error will be thrown.
// This is a temporary fix until the arrow/ROOT issues are solved, at which point it will be possible
// to automatically detect the object types transmitted to the VarManager
constexpr static uint32_t gkEventFillMap = VarManager::ObjTypes::BC | VarManager::ObjTypes::Collision;

struct TableMakerMuon_pp {

Produces<ReducedEvents> event;
Produces<ReducedEventsExtended> eventExtended;
Produces<ReducedEventsVtxCov> eventVtxCov;
Produces<ReducedTracks> trackBasic;
Produces<ReducedMuons> muonBasic;
Produces<ReducedMuonsExtended> muonExtended;

float* fValues;

OutputObj<THashList> fOutputList{"output"};
HistogramManager* fHistMan;

// TODO: Filters should be used to make lowest level selection. The additional more restrictive cuts should be defined via the AnalysisCuts
// TODO: Multiple event selections can be applied and decisions stored in the reducedevent::tag
AnalysisCompositeCut* fEventCut;
// TODO: Multiple track selections can be applied and decisions stored in the reducedtrack::filteringFlags

// TODO a few of the important muon variables in the central data model are dynamic columns so not usable in expressions (e.g. eta, phi)
// Update the data model to have them as expression columns
Partition<aod::Muons> muonSelectedTracks = o2::aod::muon::pt >= 0.5f; // For pp collisions a 0.5 GeV/c pp cuts is defined

void init(o2::framework::InitContext&)
{
fValues = new float[VarManager::kNVars];
VarManager::SetDefaultVarNames();
fHistMan = new HistogramManager("analysisHistos", "aa", VarManager::kNVars);
fHistMan->SetUseDefaultVariableNames(kTRUE);
fHistMan->SetDefaultVarNames(VarManager::fgVariableNames, VarManager::fgVariableUnits);

DefineHistograms("Event_BeforeCuts;Event_AfterCuts;"); // define all histograms
VarManager::SetUseVars(fHistMan->GetUsedVars()); // provide the list of required variables so that VarManager knows what to fill
fOutputList.setObject(fHistMan->GetMainHistogramList());
DefineCuts();
}

void DefineCuts()
{
fEventCut = new AnalysisCompositeCut(true);
AnalysisCut* eventVarCut = new AnalysisCut();
eventVarCut->AddCut(VarManager::kVtxZ, -10.0, 10.0);
eventVarCut->AddCut(VarManager::kIsINT7, 0.5, 1.5); // require kINT7
fEventCut->AddCut(eventVarCut);

VarManager::SetUseVars(AnalysisCut::fgUsedVars); // provide the list of required variables so that VarManager knows what to fill
}

void process(MyEvents::iterator const& collision, aod::MuonClusters const& clustersMuon, aod::Muons const& tracksMuon, aod::BCs const& bcs)
{
uint64_t tag = 0;
uint32_t triggerAliases = 0;
for (int i = 0; i < kNaliases; i++) {
if (collision.alias()[i] > 0) {
triggerAliases |= (uint32_t(1) << i);
}
}

VarManager::ResetValues(0, VarManager::kNEventWiseVariables, fValues);
VarManager::FillEvent<gkEventFillMap>(collision, fValues); // extract event information and place it in the fgValues array
fHistMan->FillHistClass("Event_BeforeCuts", fValues); // automatically fill all the histograms in the class Event

if (!fEventCut->IsSelected(fValues)) {
return;
}

fHistMan->FillHistClass("Event_AfterCuts", fValues);

event(tag, collision.bc().runNumber(), collision.posX(), collision.posY(), collision.posZ(), collision.numContrib());
eventExtended(collision.bc().globalBC(), collision.bc().triggerMask(), triggerAliases, 0.0f);
eventVtxCov(collision.covXX(), collision.covXY(), collision.covXZ(), collision.covYY(), collision.covYZ(), collision.covZZ(), collision.chi2());

uint64_t trackFilteringTag = 0;

muonBasic.reserve(muonSelectedTracks.size());
muonExtended.reserve(muonSelectedTracks.size());
for (auto& muon : muonSelectedTracks) {
// TODO: add proper information for muon tracks
if (muon.bcId() != collision.bcId()) {
continue;
}
// TODO: the trackFilteringTag will not be needed to encode whether the track is a muon since there is a dedicated table for muons
trackFilteringTag |= (uint64_t(1) << 0); // this is a MUON arm track
muonBasic(event.lastIndex(), trackFilteringTag, muon.pt(), muon.eta(), muon.phi(), muon.charge());
muonExtended(muon.inverseBendingMomentum(), muon.thetaX(), muon.thetaY(), muon.zMu(), muon.bendingCoor(), muon.nonBendingCoor(), muon.chi2(), muon.chi2MatchTrigger());
}
}

void DefineHistograms(TString histClasses)
{
const int kNRuns = 2;
int runs[kNRuns] = {244918, 244919};
TString runsStr;
for (int i = 0; i < kNRuns; i++) {
runsStr += Form("%d;", runs[i]);
}
VarManager::SetRunNumbers(kNRuns, runs);

TObjArray* arr = histClasses.Tokenize(";");
for (Int_t iclass = 0; iclass < arr->GetEntries(); ++iclass) {
TString classStr = arr->At(iclass)->GetName();

if (classStr.Contains("Event")) {
fHistMan->AddHistClass(classStr.Data());
fHistMan->AddHistogram(classStr.Data(), "VtxZ", "Vtx Z", false, 60, -15.0, 15.0, VarManager::kVtxZ); // TH1F histogram
fHistMan->AddHistogram(classStr.Data(), "VtxZ_Run", "Vtx Z", true,
kNRuns, 0.5, 0.5 + kNRuns, VarManager::kRunId, 60, -15.0, 15.0, VarManager::kVtxZ, 10, 0., 0., VarManager::kNothing, runsStr.Data()); // TH1F histogram
fHistMan->AddHistogram(classStr.Data(), "VtxX_VtxY", "Vtx X vs Vtx Y", false, 100, 0.055, 0.08, VarManager::kVtxX, 100, 0.31, 0.35, VarManager::kVtxY); // TH2F histogram
fHistMan->AddHistogram(classStr.Data(), "VtxX_VtxY_VtxZ", "vtx x - y - z", false, 100, 0.055, 0.08, VarManager::kVtxX, 100, 0.31, 0.35, VarManager::kVtxY, 60, -15.0, 15.0, VarManager::kVtxZ); // TH3F histogram
fHistMan->AddHistogram(classStr.Data(), "NContrib_vs_VtxZ_prof", "Vtx Z vs ncontrib", true, 30, -15.0, 15.0, VarManager::kVtxZ, 10, -1., 1., VarManager::kVtxNcontrib); // TProfile histogram
fHistMan->AddHistogram(classStr.Data(), "VtxZ_vs_VtxX_VtxY_prof", "Vtx Z vs (x,y)", true, 100, 0.055, 0.08, VarManager::kVtxX, 100, 0.31, 0.35, VarManager::kVtxY, 10, -1., 1., VarManager::kVtxZ); // TProfile2D histogram
fHistMan->AddHistogram(classStr.Data(), "Ncontrib_vs_VtxZ_VtxX_VtxY_prof", "n-contrib vs (x,y,z)", true,
100, 0.055, 0.08, VarManager::kVtxX, 100, 0.31, 0.35, VarManager::kVtxY, 30, -15., 15., VarManager::kVtxZ,
"", "", "", VarManager::kVtxNcontrib); // TProfile3D
}
} // end loop over histogram classes
}
};

WorkflowSpec defineDataProcessing(ConfigContext const&)
{
return WorkflowSpec{
adaptAnalysisTask<TableMakerMuon_pp>("table-maker-muon-pp")};
}