// // ******************************************************************** // * License and Disclaimer * // * * // * The Geant4 software is copyright of the Copyright Holders of * // * the Geant4 Collaboration. It is provided under the terms and * // * conditions of the Geant4 Software License, included in the file * // * LICENSE and available at http://cern.ch/geant4/license . These * // * include a list of copyright holders. * // * * // * Neither the authors of this software system, nor their employing * // * institutes,nor the agencies providing financial support for this * // * work make any representation or warranty, express or implied, * // * regarding this software system or assume any liability for its * // * use. Please see the license in the file LICENSE and URL above * // * for the full disclaimer and the limitation of liability. * // * * // * This code implementation is the result of the scientific and * // * technical work of the GEANT4 collaboration. * // * By using, copying, modifying or distributing the software (or * // * any work based on the software) you agree to acknowledge its * // * use in resulting scientific publications, and indicate your * // * acceptance of all terms of the Geant4 Software license. * // ******************************************************************** // // G4VSIntegration // // Class description: // // Numerical algorithm for integration of probability density function // and sampling of the energy. Parameters of the algorithm should // be defined by consumer class via the InitialiseIntegrator(..) method. // The method is effective for the case of functions with a peak and long // tail. Tunning of parameters may increase efficiency of the algorithm. // The default set of parameters is optimized for the pre-compound model. // // Created 03.03.2025 V.Ivanchenko // // -------------------------------------------------------------------- #ifndef G4VSIntegration_HH #define G4VSIntegration_HH 1 #include "globals.hh" class G4VSIntegration { public: G4VSIntegration() = default; virtual ~G4VSIntegration() = default; // this method should be implemented in a consumer class virtual G4double ProbabilityDensityFunction(G4double) = 0; virtual const G4String& ModelName() const; // initialisation before run called once // accuracy - accuracy of integration // fact1 - value < 1 to define energy E1: Pmax*fact = P(E1) // and E2: P(E1)*fact = P(E2) // fact2 - value > 1 provides tolerance for max cross section // deltaE - the default step in energy // dmin, dmax - min and max values of step void InitialiseIntegrator(G4double accuracy, G4double fact1, G4double fact2, G4double de, G4double dmin, G4double dmax); // compute integral of probability density function G4double ComputeIntegral(const G4double emin, const G4double emax); // sample value according to probability density function // it is assumed that ComputeIntegral(emin, emax) was executed G4double SampleValue(); G4VSIntegration(const G4VSIntegration&) = delete; G4VSIntegration& operator=(const G4VSIntegration&) = delete; G4bool operator==(const G4VSIntegration &right) const = delete; G4bool operator!=(const G4VSIntegration &right) const = delete; void SetVerbose(G4int verb) { fVerbose = verb; } private: G4double fAcc{0.001}; // accuracy of integration G4double fMinDelta{0.1}; // minimal step integration G4double fMaxDelta{2.0}; // maximal step integration G4double fDelta{1.0}; // the default step G4double fFactor1{0.25}; G4double fFactor2{1.05}; // parameters describing function G4double fEmin{0.0}; G4double fEmax{0.0}; G4double fE1{0.0}; G4double fP1{0.0}; G4double fE2{0.0}; G4double fP2{0.0}; G4double fPmax{0.0}; G4int fVerbose{0}; G4int fWarnLimit{4}; G4int fnWarn{0}; G4String dummy{""}; }; #endif