//////////////////////////////////////////////////////////////////////////////// /// \class RAT::Classifiers::Ext0NuTimeRes /// /// \brief Classifies events as 0nu or external background based on timing /// /// \author Tereza Kroupa /// /// REVISION HISTORY: /// - 10/04/2018 : Tereza Kroupa - Implemented as RAT Classifier /// /// \detail Calculates 0nu/external background discriminator based on event hit /// time residuals given weights in RATDB table. Those can be likelihood /// ratios or other. For further reference see DocDB 4903 or 3603. Based /// on PSD studies by Ian Coulter and Jack Dunger. /// //////////////////////////////////////////////////////////////////////////////// #ifndef __RAT_Classifiers_Ext0NuTimeRes_ #define __RAT_Classifiers_Ext0NuTimeRes_ #include #include namespace RAT { namespace Classifiers { class Ext0NuTimeRes : public SeededClassifier { public: /// Static Method returning Classifier Name static inline std::string Name() { return "Ext0NuTimeRes";} /// Class Method returning Classifier Name virtual std::string GetName() const; /// Initialise fParam /// @param[param] String containing classifier parameters set in macro virtual void Initialise(const std::string& param); /// Load weights for 0Nu and External bkg /// Load fTimeFirst, fTimeLast and fTimeStep virtual void BeginOfRun(DS::Run& run); /// End Classifier call virtual void EndOfRun(DS::Run& run); /// Set fEventPos to zero vector and fEventTime to zero virtual void DefaultSeed(); /// Set fEventTime and fEventPos from parameter seed /// @seed Seed (FitResult containing event time and position) virtual void SetSeed(const DS::FitResult& seed); /// Classify event as external bkg or signal /// @return ClassifierResult object containing the classification result virtual DS::ClassifierResult GetClassification(); private: std::string fParam; ///< DB table name and index set in Initialise double fTimeFirst; ///< Lower boundary of the first time bin double fTimeLast; ///< Upper boundary of the last time bin double fTimeStep; ///< Binwidth std::vector fWeights; ///< Weights from bkg and signal pdfs size_t fNormalisationFlag; int fOffset; //Time residual to which all the residuals are offset TVector3 fEventPos; ///< Fitted event position double fEventTime; ///< Fitted event time double fDiscriminant; ///< Discriminant result }; } //::Classifiers } //::RAT #endif