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@deependra170598
deependra170598 committed Oct 26, 2024
1 parent f9ed566 commit 2479423
Showing 1 changed file with 11 additions and 11 deletions.
22 changes: 11 additions & 11 deletions PWGHF/D2H/Tasks/taskDstarToD0Pi.cxx
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Original file line number Diff line number Diff line change
Expand Up @@ -62,7 +62,7 @@ struct HfTaskDstarToD0Pi {
ConfigurableAxis binningNormDecayLength{"binningNormDecayLength", {1000, 0.0, 40.0}, "Bins of Normalised Decay Length"};
ConfigurableAxis binningCentrality{"binningCentrality", {VARIABLE_WIDTH, 0.0, 1.0, 10.0, 30.0, 50.0, 70.0, 100.0}, "centrality binning"};
ConfigurableAxis binningDeltaInvMass{"binningDeltaInvMass", {100, 0.13, 0.16}, "Bins of Delta InvMass of Dstar"};
ConfigurableAxis binningBDTScore{"binningBDTScore",{100,0.0f,1.0f},"Bins for BDT Score"};
ConfigurableAxis binningBDTScore{"binningBDTScore", {100, 0.0f, 1.0f}, "Bins for BDT Score"};

HistogramRegistry registry{
"registry",
Expand Down Expand Up @@ -122,7 +122,7 @@ struct HfTaskDstarToD0Pi {
registry.add("QA/hPtVsYRecoTopolDstarRecSig", "MC Matched RecoTopol D* Candidates at Reconstruction Level; #it{p}_{T} of D* at Reconstruction Level (GeV/#it{c}); #it{y}", {HistType::kTH2F, {{vecPtBins, "#it{p}_{T} (GeV/#it{c})"}, {100, -5., 5.}}});
registry.add("QA/hPtVsYRecoPidDstarRecSig", "MC Matched RecoPid D* Candidates at Reconstruction Level; #it{p}_{T} of D* at Reconstruction Level (GeV/#it{c}); #it{y}", {HistType::kTH2F, {{vecPtBins, "#it{p}_{T} (GeV/#it{c})"}, {100, -5., 5.}}});
registry.add("QA/hPtFullRecoDstarRecSig", "MC Matched FullReco D* Candidates at Reconstruction Level; #it{p}_{T} of D* at Reconstruction Level (GeV/#it{c})", {HistType::kTH1F, {{vecPtBins, "#it{p}_{T} (GeV/#it{c})"}}});
registry.add("Efficiency/hPtVsCentFullRecoDstarRecSig", "MC Matched FullReco D* Candidates at Reconstruction Level; #it{p}_{T} of D* at Reconstruction Level (GeV/#it{c}); Centrality (%)",{HistType::kTH2F,{{vecPtBins,"#it{p}_{T} (GeV/#it{c})"},{axisCentrality}}}, true);
registry.add("Efficiency/hPtVsCentFullRecoDstarRecSig", "MC Matched FullReco D* Candidates at Reconstruction Level; #it{p}_{T} of D* at Reconstruction Level (GeV/#it{c}); Centrality (%)", {HistType::kTH2F, {{vecPtBins, "#it{p}_{T} (GeV/#it{c})"}, {axisCentrality}}}, true);
// Only Prompt RecSig
registry.add("QA/hPtVsYSkimPromptDstarRecSig", "MC Matched Skimed Prompt D* Candidates at Reconstruction Level; #it{p}_{T} of D* at Reconstruction Level (GeV/#it{c}; #it{y})", {HistType::kTH2F, {{vecPtBins, "#it{p}_{T} (GeV/#it{c})"}, {100, -5., 5.}}});
registry.add("QA/hPtVsYRecoTopolPromptDstarRecSig", "MC Matched RecoTopol Prompt D* Candidates at Reconstruction Level; #it{p}_{T} of D* at Reconstruction Level (GeV/#it{c}); #it{y}", {HistType::kTH2F, {{vecPtBins, "#it{p}_{T} (GeV/#it{c})"}, {100, -5., 5.}}});
Expand Down Expand Up @@ -157,11 +157,12 @@ struct HfTaskDstarToD0Pi {
registry.add("Efficiency/hNumPvContributorsCandInMass", "PV Contributors; PV Contributor; FT0M Centrality", {HistType::kTH2F, {{100, 0, 300}, {axisCentrality}}}, true);

// BDT Score
registry.add("QA/hDeltaInvMassVsPtVsCentVsBDTScore", "#Delta #it{M}_{inv} Vs Pt Vs Cent Vs BDTScore", {HistType::kTHnSparseL, {{axisDeltaInvMass},{vecPtBins, "#it{p}_{T} (GeV/#it{c})"},{axisCentrality},{axisBDTScorePrompt},{axisBDTScoreNonPrompt},{axisBDTScoreBackground}}});
registry.add("QA/hDeltaInvMassVsPtVsCentVsBDTScore", "#Delta #it{M}_{inv} Vs Pt Vs Cent Vs BDTScore", {HistType::kTHnSparseL, {{axisDeltaInvMass}, {vecPtBins, "#it{p}_{T} (GeV/#it{c})"}, {axisCentrality}, {axisBDTScorePrompt}, {axisBDTScoreNonPrompt}, {axisBDTScoreBackground}}});
}

template <bool applyMl, typename T1, typename T2>
void runTaskDstar(CollisionsWCent const& cols, T1 selectedCands, T2 preslice){
void runTaskDstar(CollisionsWCent const& cols, T1 selectedCands, T2 preslice)
{
for (const auto& col : cols) {
auto nPVContributors = col.numContrib();
auto centrality = col.centFT0M();
Expand Down Expand Up @@ -218,10 +219,9 @@ struct HfTaskDstarToD0Pi {
nCandsSignalRegion++;
}

if constexpr (applyMl)
{
if constexpr (applyMl) {
auto mlBdtScore = candDstar.mlProbDstarToD0Pi();
registry.fill(HIST("QA/hDeltaInvMassVsPtVsCentVsBDTScore"),deltaMDstar,candDstar.pt(), centrality,mlBdtScore[0],mlBdtScore[1],mlBdtScore[2]);
registry.fill(HIST("QA/hDeltaInvMassVsPtVsCentVsBDTScore"), deltaMDstar, candDstar.pt(), centrality, mlBdtScore[0], mlBdtScore[1], mlBdtScore[2]);
}

registry.fill(HIST("Yield/hDeltaInvMassDstar3D"), deltaMDstar, candDstar.pt(), centrality);
Expand Down Expand Up @@ -256,15 +256,15 @@ struct HfTaskDstarToD0Pi {

// process function without susing ML
void processWoML(CollisionsWCent const& cols, soa::Filtered<CandDstarWSelFlag> const& selectedCands)
{
runTaskDstar<false,soa::Filtered<CandDstarWSelFlag>, Preslice<soa::Filtered<CandDstarWSelFlag>>>(cols,selectedCands,preslicSelectedCandDstarPerCol);
{
runTaskDstar<false, soa::Filtered<CandDstarWSelFlag>, Preslice<soa::Filtered<CandDstarWSelFlag>>>(cols, selectedCands, preslicSelectedCandDstarPerCol);
}
PROCESS_SWITCH(HfTaskDstarToD0Pi, processWoML, "Process without ML", true);

// process function with susing ML, Here we store BDT score as well
void processWML(CollisionsWCent const& cols, soa::Filtered<CandDstarWSelFlagWMl> const& selectedCands)
{
runTaskDstar<true,soa::Filtered<CandDstarWSelFlagWMl>,Preslice<soa::Filtered<CandDstarWSelFlagWMl>>>(cols,selectedCands,preslicSelectedCandDstarPerColWMl);
runTaskDstar<true, soa::Filtered<CandDstarWSelFlagWMl>, Preslice<soa::Filtered<CandDstarWSelFlagWMl>>>(cols, selectedCands, preslicSelectedCandDstarPerColWMl);
}
PROCESS_SWITCH(HfTaskDstarToD0Pi, processWML, "Process with ML", false);

Expand All @@ -290,7 +290,7 @@ struct HfTaskDstarToD0Pi {
auto particleMother = rowsMcPartilces.rawIteratorAt(indexMother); // What is difference between rawIterator() or iteratorAt() methods?
registry.fill(HIST("QA/hPtSkimDstarGenSig"), particleMother.pt()); // generator level pt
registry.fill(HIST("Efficiency/hPtVsCentSkimDstarGenSig"), particleMother.pt(), centrality);
registry.fill(HIST("Efficiency/hPtVsCentFullRecoDstarRecSig"),ptDstarRecSig,centrality);
registry.fill(HIST("Efficiency/hPtVsCentFullRecoDstarRecSig"), ptDstarRecSig, centrality);

// auto recCollision = candDstarMcRec.collision_as<CollisionsWCentMcLabel>();
// float centFT0M = recCollision.centFT0M();
Expand Down

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