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4 changes: 4 additions & 0 deletions PWGJE/Tasks/CMakeLists.txt
Original file line number Diff line number Diff line change
Expand Up @@ -389,6 +389,10 @@ if(FastJet_FOUND)
SOURCES jetDsSpectrumAndSubstructure.cxx
PUBLIC_LINK_LIBRARIES O2::Framework O2Physics::PWGJECore O2Physics::AnalysisCore
COMPONENT_NAME Analysis)
o2physics_add_dpl_workflow(jet-d0-ang-substructure
SOURCES jetD0AngSubstructure.cxx
PUBLIC_LINK_LIBRARIES O2::Framework O2Physics::PWGJECore O2Physics::AnalysisCore
COMPONENT_NAME Analysis)
o2physics_add_dpl_workflow(bjet-cent-mult
SOURCES bjetCentMult.cxx
PUBLIC_LINK_LIBRARIES O2::Framework O2Physics::PWGJECore O2Physics::AnalysisCore
Expand Down
208 changes: 208 additions & 0 deletions PWGJE/Tasks/jetD0AngSubstructure.cxx
Original file line number Diff line number Diff line change
@@ -0,0 +1,208 @@
// 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 JetD0AngSubstructure.cxx
//
// \brief Analysis task for the reconstruction and study of charged jets
// containing D_0 mesons in pp collisions.
// \inherited from D0 fragmentation and Ds
// \P. Dhankher

#include "PWGHF/Core/DecayChannels.h"
#include "PWGJE/Core/JetDerivedDataUtilities.h"
#include "PWGJE/Core/JetUtilities.h"
#include "PWGJE/DataModel/Jet.h"
#include "PWGJE/DataModel/JetReducedData.h"
#include "PWGJE/DataModel/JetSubtraction.h"

#include "Common/Core/RecoDecay.h"
#include "Common/DataModel/TrackSelectionTables.h"

#include "Framework/ASoA.h"
#include "Framework/AnalysisDataModel.h"
#include "Framework/HistogramRegistry.h"
#include <CommonConstants/MathConstants.h>
#include <Framework/AnalysisTask.h>
#include <Framework/ConfigContext.h>
#include <Framework/Configurable.h>
#include <Framework/DataProcessorSpec.h>
#include <Framework/HistogramSpec.h>
#include <Framework/InitContext.h>
#include <Framework/runDataProcessing.h>

#include "TVector3.h"

#include <cmath>
#include <cstdlib>
#include <string>
#include <vector>

using namespace o2;
using namespace o2::framework;
using namespace o2::framework::expressions;

// Definition of a custom AOD table to store jet–D0 quantities
namespace o2::aod
{
namespace jet_obj
{
// Jet-related quantities
DECLARE_SOA_COLUMN(JetHfDist, jetHfDist, float);
DECLARE_SOA_COLUMN(JetPt, jetPt, float);
DECLARE_SOA_COLUMN(JetEta, jetEta, float);
DECLARE_SOA_COLUMN(JetPhi, jetPhi, float);
DECLARE_SOA_COLUMN(JetNConst, jetNConst, int);
DECLARE_SOA_COLUMN(JetAng, jetAng, float);
// D0 candidate quantities
DECLARE_SOA_COLUMN(HfPt, hfPt, float);
DECLARE_SOA_COLUMN(HfEta, hfEta, float);
DECLARE_SOA_COLUMN(HfPhi, hfPhi, float);
DECLARE_SOA_COLUMN(HfMass, hfMass, float);
DECLARE_SOA_COLUMN(HfY, hfY, float);
// ML scores
DECLARE_SOA_COLUMN(HfMlScore0, hfMlScore0, float);
DECLARE_SOA_COLUMN(HfMlScore1, hfMlScore1, float);
DECLARE_SOA_COLUMN(HfMlScore2, hfMlScore2, float);
} // namespace jet_obj
// AOD table definition
DECLARE_SOA_TABLE(JetObjTable, "AOD", "JETOBJTABLE",
jet_obj::JetHfDist,
jet_obj::JetPt,
jet_obj::JetEta,
jet_obj::JetPhi,
jet_obj::JetNConst,
jet_obj::JetAng,
jet_obj::HfPt,
jet_obj::HfEta,
jet_obj::HfPhi,
jet_obj::HfMass,
jet_obj::HfY,
jet_obj::HfMlScore0,
jet_obj::HfMlScore1,
jet_obj::HfMlScore2);
} // namespace o2::aod
struct JetD0AngSubstructure {
/**
* Histogram registry
*
* Contains:
* - Event and track histograms
* - Jet kinematic distributions
* - D0–jet substructure observables
*/
HistogramRegistry registry{"registry",
{{"h_collision_counter", "# of collisions;", {HistType::kTH1F, {{2, 0., 2.}}}},
{"h_jet_counter", ";# of D^{0} jets;", {HistType::kTH1F, {{6, 0., 3.0}}}},
{"h_d0_jet_projection", ";z^{D^{0},jet}_{||};dN/dz^{D^{0},jet}_{||}", {HistType::kTH1F, {{1000, 0., 10.}}}},
{"h_d0_jet_distance_vs_projection", ";#DeltaR_{D^{0},jet};z^{D^{0},jet}_{||}", {HistType::kTH2F, {{1000, 0., 10.}, {1000, 0., 10.}}}},
{"h_d0_jet_distance", ";#DeltaR_{D^{0},jet};dN/d(#DeltaR)", {HistType::kTH1F, {{1000, 0., 10.}}}},
{"h_d0_jet_pt", ";p_{T,D^{0} jet};dN/dp_{T,D^{0} jet}", {HistType::kTH1F, {{200, 0., 10.}}}},
{"h_d0_jet_eta", ";#eta_{T,D^{0} jet};dN/d#eta_{D^{0} jet}", {HistType::kTH1F, {{250, -5., 5.}}}},
{"h_d0_jet_phi", ";#phi_{T,D^{0} jet};dN/d#phi_{D^{0} jet}", {HistType::kTH1F, {{250, -10., 10.}}}},
{"h_d0_mass", ";m_{D^{0}});dN/dm_{D^{0}}", {HistType::kTH1F, {{1000, 0., 10.}}}},
{"h_d0_eta", ";#eta_{D^{0}});dN/d#eta_{D_{}}", {HistType::kTH1F, {{250, -5., 5.}}}},
{"h_d0_phi", ";#phi_{D^{0}});dN/d#phi_{D^{0}}", {HistType::kTH1F, {{250, -10., 10.}}}},
{"h_d0_ang", ";#lambda_{#kappa}^{#alpha};counts", {HistType::kTH1F, {{100, 0., 1.}}}}}};

// Configurables
Configurable<float> vertexZCut{"vertexZCut", 10.0f, "Accepted z-vertex range"};

Configurable<float> jetPtMin{"jetPtMin", 5.0, "minimum jet pT cut"};
Configurable<float> jetR{"jetR", 0.4, "jet resolution parameter"};

Configurable<std::string> eventSelections{"eventSelections", "sel8", "choose event selection"};
Configurable<std::string> trackSelections{"trackSelections", "globalTracks", "set track selections"};
Configurable<float> kappa{"kappa", 1.0, "angularity kappa"}; // to do: configurable from json
Configurable<float> alpha{"alpha", 1.0, "angularity alpha"};

std::vector<int> eventSelectionBits;
int trackSelection = -1;

// Output table producer
Produces<aod::JetObjTable> ObjJetTable;

float angularity;

void init(o2::framework::InitContext&)
{
eventSelectionBits = jetderiveddatautilities::initialiseEventSelectionBits(static_cast<std::string>(eventSelections));
trackSelection = jetderiveddatautilities::initialiseTrackSelection(static_cast<std::string>(trackSelections));
}

template <typename T, typename U>
void jetCalculateAngularity(T const& jet, U const& /*tracks*/)
{
angularity = 0.0;
for (auto& constituent : jet.template tracks_as<U>()) {
angularity += std::pow(constituent.pt(), kappa) * std::pow(jetutilities::deltaR(jet, constituent) / (jet.r() / 100.f), alpha);
}
angularity /= std::pow(jet.pt(), kappa);
}

void processDataChargedSubstructure(aod::JetCollision const& collision,
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Do you not here also want to apply the JetFilter and EventFilter like you do for processDataCharged with soa::Filtered?

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Removed other functions and currently I will prefer to use the version I have in processDataChargedSubstructure.

soa::Join<aod::D0ChargedJets, aod::D0ChargedJetConstituents> const& jets,
aod::CandidatesD0Data const&, aod::JetTracks const& tracks)
{
// apply event selection and fill histograms for sanity check
registry.fill(HIST("h_collision_counter"), 0.5);

if (!jetderiveddatautilities::selectCollision(collision, eventSelectionBits) || !(std::abs(collision.posZ()) < vertexZCut)) {
return;
}
registry.fill(HIST("h_collision_counter"), 1.5);

// Loop over jets containing D0 candidates
for (const auto& jet : jets) {
// number of charged jets with D0
registry.fill(HIST("h_jet_counter"), 0.5);
// obtaining jet 3-vector
TVector3 jetVector(jet.px(), jet.py(), jet.pz());

// Loop over D0 candidates associated to the jet
for (const auto& d0Candidate : jet.candidates_as<aod::CandidatesD0Data>()) {
// obtaining jet 3-vector
TVector3 d0Vector(d0Candidate.px(), d0Candidate.py(), d0Candidate.pz());

// calculating fraction of the jet momentum carried by the D0 along the direction of the jet axis
double zParallel = (jetVector * d0Vector) / (jetVector * jetVector);

// calculating angular distance in eta-phi plane
double axisDistance = jetutilities::deltaR(jet, d0Candidate);

jetCalculateAngularity(jet, tracks);

// filling histograms
registry.fill(HIST("h_d0_jet_projection"), zParallel);
registry.fill(HIST("h_d0_jet_distance_vs_projection"), axisDistance, zParallel);
registry.fill(HIST("h_d0_jet_distance"), axisDistance);
registry.fill(HIST("h_d0_jet_pt"), jet.pt());
registry.fill(HIST("h_d0_jet_eta"), jet.eta());
registry.fill(HIST("h_d0_jet_phi"), jet.phi());
registry.fill(HIST("h_d0_mass"), d0Candidate.m());
registry.fill(HIST("h_d0_eta"), d0Candidate.eta());
registry.fill(HIST("h_d0_phi"), d0Candidate.phi());
registry.fill(HIST("h_d0_ang"), angularity); // add more axis

// filling table
ObjJetTable(axisDistance,
jet.pt(), jet.eta(), jet.phi(), jet.tracks_as<aod::JetTracks>().size(), angularity,
d0Candidate.pt(), d0Candidate.eta(), d0Candidate.phi(), d0Candidate.m(), d0Candidate.y(), d0Candidate.mlScores()[0], d0Candidate.mlScores()[1], d0Candidate.mlScores()[2]);

break; // get out of candidates' loop after first HF particle is found in jet
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I am not an HF-jet expert, but is it desired that one breaks after the first candidate that one finds as part of the jet? Are the d0Candidates somehow or is the order random?

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there should ever only be one in the current code anyways

} // end of D0 candidates loop

} // end of jets loop

} // end of process function
PROCESS_SWITCH(JetD0AngSubstructure, processDataChargedSubstructure, "charged HF jet substructure", false);
};
// Workflow definition
WorkflowSpec defineDataProcessing(ConfigContext const& cfgc) { return WorkflowSpec{adaptAnalysisTask<JetD0AngSubstructure>(cfgc, TaskName{"jet-d0-ang-substructure"})}; }
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