Skip to content

[PWGHF] Optimize CPU usage in UPC Lc task #16527

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
zhangbiao-phy merged 1 commit into from
Jun 3, 2026
+17 −10
Merged

[PWGHF] Optimize CPU usage in UPC Lc task #16527

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
27 changes: 17 additions & 10 deletions PWGHF/D2H/Tasks/taskUpcLc.cxx
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -116,6 +116,7 @@ struct HfTaskUpcLc {
Configurable<std::vector<double>> binsPt{"binsPt", std::vector<double>{hf_cuts_lc_to_p_k_pi::vecBinsPt}, "pT bin limits"};
Configurable<bool> fillTreeOnlySingleGap{"fillTreeOnlySingleGap", false, "Only fill the tree for candidates that pass the single-gap UPC events"};
Configurable<bool> fillTreeUpcQa{"fillTreeUpcQa", false, "Fill Tree for UPC QA"};
Configurable<bool> fillHistQa{"fillHistQa", false, "Fill histograms for UPC detector QA"};
Configurable<bool> verticesWithUpc{"verticesWithUpc", false, "Consider vertices with UPC settings"};
Configurable<float> zdcTimeThreshold{"zdcTimeThreshold", 2., "Threshold for ZNA/ZNC time"};
// CCDB configuration
Expand Down Expand Up @@ -154,7 +155,7 @@ struct HfTaskUpcLc {
}

auto vbins = (std::vector<double>)binsPt;
registry.add("Data/fitInfo/ampFT0A_vs_ampFT0C", "FT0-A vs FT0-C amplitude;FT0-A amplitude (a.u.);FT0-C amplitude (a.u.)", {HistType::kTH2F, {{500, 0., 500}, {500, 0., 500}}});
registry.add("Data/fitInfo/ampFT0A_vs_ampFT0C", "FT0-A vs FT0-C amplitude;FT0-A amplitude (a.u.);FT0-C amplitude (a.u.)", {HistType::kTH2F, {{200, 0., 200}, {200, 0., 200}}});
registry.add("Data/zdc/energyZNA_vs_energyZNC", "ZNA vs ZNC common energy;E_{ZNA}^{common} (a.u.);E_{ZNC}^{common} (a.u.)", {HistType::kTH2F, {{100, 0., 10}, {100, 0., 10}}});
registry.add("Data/zdc/timeZNA_vs_timeZNC", "ZNA vs ZNC time;ZNA Time;ZNC time", {HistType::kTH2F, {{200, -10., 10}, {200, -10., 10}}});
registry.add("Data/hUpcGapAfterSelection", "UPC gap type after selection;Gap side;Counts", {HistType::kTH1F, {{7, -1.5, 5.5}}});
Expand Down Expand Up @@ -195,6 +196,9 @@ struct HfTaskUpcLc {
}
const auto thisCollId = collision.globalIndex();
const auto& groupedLcCandidates = candidates.sliceBy(candLcPerCollision, thisCollId);
if (!fillTreeUpcQa && !fillHistQa && groupedLcCandidates.size() == 0) {
continue;
}
const auto numPvContributors = collision.numContrib();
const auto& bc = collision.template bc_as<BCsType>();

Expand Down Expand Up @@ -232,27 +236,30 @@ struct HfTaskUpcLc {
zdcEnergyZNC = zdc.energyCommonZNC();
zdcTimeZNA = zdc.timeZNA();
zdcTimeZNC = zdc.timeZNC();
registry.fill(HIST("Data/fitInfo/ampFT0A_vs_ampFT0C"), fitInfo.ampFT0A, fitInfo.ampFT0C);
registry.fill(HIST("Data/zdc/energyZNA_vs_energyZNC"), zdcEnergyZNA, zdcEnergyZNC);
registry.fill(HIST("Data/zdc/timeZNA_vs_timeZNC"), zdcTimeZNA, zdcTimeZNC);
if (fillHistQa) {
registry.fill(HIST("Data/fitInfo/ampFT0A_vs_ampFT0C"), fitInfo.ampFT0A, fitInfo.ampFT0C);
registry.fill(HIST("Data/zdc/energyZNA_vs_energyZNC"), zdcEnergyZNA, zdcEnergyZNC);
registry.fill(HIST("Data/zdc/timeZNA_vs_timeZNC"), zdcTimeZNA, zdcTimeZNC);
}
registry.fill(HIST("Data/hUpcGapAfterSelection"), static_cast<int>(gap));
}
const bool ignoreZdcTime = (zdcTimeThreshold < 0.f);

const auto multNTracksPV = collision.multNTracksPV();
const auto posZ = collision.posZ();
if (gap == o2::aod::sgselector::TrueGap::SingleGapA && (ignoreZdcTime || (std::abs(zdcTimeZNA) > zdcTimeThreshold && std::abs(zdcTimeZNC) < zdcTimeThreshold))) {
gapA0nXn = true;
}
if (gap == o2::aod::sgselector::TrueGap::SingleGapC && (ignoreZdcTime || (std::abs(zdcTimeZNA) < zdcTimeThreshold && std::abs(zdcTimeZNC) > zdcTimeThreshold))) {
gapCXn0n = true;
}
if (fillTreeOnlySingleGap & !gapA0nXn & !gapCXn0n) {
if (fillTreeOnlySingleGap && !gapA0nXn && !gapCXn0n) {
continue;
}
registry.fill(HIST("Data/hUpcMulti"), collision.multNTracksPV());
registry.fill(HIST("Data/hUpcVtz"), collision.posZ());
registry.fill(HIST("Data/hUpcMulti"), multNTracksPV);
registry.fill(HIST("Data/hUpcVtz"), posZ);

if (fillTreeUpcQa) {
rowUpcQa(numPvContributors, collision.multNTracksPV(), collision.posZ(), fitInfo.ampFT0A, fitInfo.ampFT0C, zdcTimeZNA, zdcTimeZNC);
rowUpcQa(numPvContributors, multNTracksPV, posZ, fitInfo.ampFT0A, fitInfo.ampFT0C, zdcTimeZNA, zdcTimeZNC);
}

for (const auto& candidate : groupedLcCandidates) {
Expand All @@ -272,10 +279,10 @@ struct HfTaskUpcLc {
const auto eta = candidate.eta();

double outputBkg(-1);
registry.fill(HIST("Data/eta_vs_Multi"), eta, multNTracksPV);

auto fillTHnData = [&](bool isPKPi) {
const auto massLc = isPKPi ? HfHelper::invMassLcToPKPi(candidate) : HfHelper::invMassLcToPiKP(candidate);
registry.fill(HIST("Data/eta_vs_Multi"), eta, collision.multNTracksPV());
if constexpr (FillMl) {
const auto& mlProb = isPKPi ? candidate.mlProbLcToPKPi() : candidate.mlProbLcToPiKP();
if (mlProb.size() == NumberOfMlClasses) {
Expand Down
Loading