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Configurable<bool> fillBackground{"fillBackground", false, "Flag to enable filling of background histograms/sparses/tree (only MC)"};
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Configurable<float> downSampleBkgFactor{"downSampleBkgFactor", 1., "Fraction of background candidates to keep for ML trainings"};
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Configurable<float> ptMaxForDownSample{"ptMaxForDownSample", 10., "Maximum pt for the application of the downsampling factor"};
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Configurable<bool> useJpsiPdgMass{"useJpsiPdgMass", true, "Whether to use J/Psi PDG mass for B+ candidate mass evaluation or to use the invariant mass of the two prongs"};
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// topological cuts
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Configurable<std::vector<double>> binsPt{"binsPt", std::vector<double>{hf_cuts_bplus_to_jpsi_k::vecBinsPt}, "pT bin limits"};
Configurable<bool> fillBackground{"fillBackground", false, "Flag to enable filling of background histograms/sparses/tree (only MC)"};
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Configurable<float> downSampleBkgFactor{"downSampleBkgFactor", 1., "Fraction of background candidates to keep for ML trainings"};
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Configurable<float> ptMaxForDownSample{"ptMaxForDownSample", 10., "Maximum pt for the application of the downsampling factor"};
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Configurable<bool> useJpsiPdgMass{"useJpsiPdgMass", true, "Whether to use J/Psi PDG mass for B+ candidate mass evaluation or to use the invariant mass of the two prongs"};
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Configurable<bool> usePhiPdgMass{"usePhiPdgMass", true, "Whether to use Phi PDG mass for B+ candidate mass evaluation or to use the invariant mass of the two prongs"};
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// topological cuts
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Configurable<std::vector<double>> binsPt{"binsPt", std::vector<double>{hf_cuts_bs_to_jpsi_phi::vecBinsPt}, "pT bin limits"};
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