Import Geant4 11.4.0.beta source tree
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//
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// ********************************************************************
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// * License and Disclaimer *
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// * *
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// * The Geant4 software is copyright of the Copyright Holders of *
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// * the Geant4 Collaboration. It is provided under the terms and *
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// * conditions of the Geant4 Software License, included in the file *
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// * LICENSE and available at http://cern.ch/geant4/license . These *
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// * include a list of copyright holders. *
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// * *
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// * Neither the authors of this software system, nor their employing *
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// * institutes,nor the agencies providing financial support for this *
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// * work make any representation or warranty, express or implied, *
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// * regarding this software system or assume any liability for its *
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// * use. Please see the license in the file LICENSE and URL above *
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// * for the full disclaimer and the limitation of liability. *
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// * *
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// * This code implementation is the result of the scientific and *
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// * technical work of the GEANT4 collaboration. *
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// * By using, copying, modifying or distributing the software (or *
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// * any work based on the software) you agree to acknowledge its *
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// * use in resulting scientific publications, and indicate your *
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// * acceptance of all terms of the Geant4 Software license. *
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// ********************************************************************
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//
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// G4VSIntegration
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//
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// Class description:
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//
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// Numerical algorithm for integration of probability density function
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// and sampling of the energy. Parameters of the algorithm should
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// be defined by consumer class via the InitialiseIntegrator(..) method.
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// The method is effective for the case of functions with a peak and long
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// tail. Tunning of parameters may increase efficiency of the algorithm.
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// The default set of parameters is optimized for the pre-compound model.
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//
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// Created 03.03.2025 V.Ivanchenko
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//
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// --------------------------------------------------------------------
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#ifndef G4VSIntegration_HH
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#define G4VSIntegration_HH 1
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#include "globals.hh"
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class G4VSIntegration
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{
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public:
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G4VSIntegration() = default;
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virtual ~G4VSIntegration() = default;
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// this method should be implemented in a consumer class
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virtual G4double ProbabilityDensityFunction(G4double) = 0;
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virtual const G4String& ModelName() const;
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// initialisation before run called once
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// accuracy - accuracy of integration
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// fact1 - value < 1 to define energy E1: Pmax*fact = P(E1)
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// and E2: P(E1)*fact = P(E2)
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// fact2 - value > 1 provides tolerance for max cross section
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// deltaE - the default step in energy
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// dmin, dmax - min and max values of step
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void InitialiseIntegrator(G4double accuracy, G4double fact1, G4double fact2,
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G4double de, G4double dmin, G4double dmax);
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// compute integral of probability density function
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G4double ComputeIntegral(const G4double emin, const G4double emax);
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// sample value according to probability density function
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// it is assumed that ComputeIntegral(emin, emax) was executed
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G4double SampleValue();
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G4VSIntegration(const G4VSIntegration&) = delete;
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G4VSIntegration& operator=(const G4VSIntegration&) = delete;
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G4bool operator==(const G4VSIntegration &right) const = delete;
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G4bool operator!=(const G4VSIntegration &right) const = delete;
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void SetVerbose(G4int verb) { fVerbose = verb; }
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private:
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G4double fAcc{0.001}; // accuracy of integration
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G4double fMinDelta{0.1}; // minimal step integration
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G4double fMaxDelta{2.0}; // maximal step integration
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G4double fDelta{1.0}; // the default step
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G4double fFactor1{0.25};
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G4double fFactor2{1.05};
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// parameters describing function
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G4double fEmin{0.0};
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G4double fEmax{0.0};
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G4double fE1{0.0};
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G4double fP1{0.0};
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G4double fE2{0.0};
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G4double fP2{0.0};
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G4double fPmax{0.0};
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G4int fVerbose{0};
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G4int fWarnLimit{4};
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G4int fnWarn{0};
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G4String dummy{""};
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};
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#endif
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