Import Geant4 10.2.0 source tree
This commit is contained in:
@@ -0,0 +1,114 @@
|
||||
//
|
||||
// ********************************************************************
|
||||
// * 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. *
|
||||
// ********************************************************************
|
||||
//
|
||||
//
|
||||
// -------------------------------------------------------------------
|
||||
// GEANT4 Class file
|
||||
//
|
||||
//
|
||||
// File name: G4PolynomialPDF
|
||||
//
|
||||
// Author: Jason Detwiler (jasondet@gmail.com)
|
||||
//
|
||||
// Creation date: Aug 2012
|
||||
//
|
||||
// Description: Evaluates, generates random numbers from, and evaluates
|
||||
// the inverse of a polynomial PDF, its CDF, and its first and second
|
||||
// derivative.
|
||||
//
|
||||
// -------------------------------------------------------------------
|
||||
|
||||
#ifndef G4POLYNOMIALPDF_HH
|
||||
#define G4POLYNOMIALPDF_HH
|
||||
|
||||
#include "globals.hh"
|
||||
#include <vector>
|
||||
|
||||
class G4PolynomialPDF
|
||||
{
|
||||
public:
|
||||
G4PolynomialPDF(size_t n = 0, const double* coeffs = nullptr,
|
||||
G4double x1=0, G4double x2=1);
|
||||
~G4PolynomialPDF() {};
|
||||
|
||||
// Setters and Getters for coefficients
|
||||
inline void SetNCoefficients(size_t n) { fCoefficients.resize(n); fChanged = true; }
|
||||
inline size_t GetNCoefficients() const { return fCoefficients.size(); }
|
||||
inline void SetCoefficients(const std::vector<G4double>& v) { fCoefficients = v; }
|
||||
inline G4double GetCoefficient(size_t i) const { return fCoefficients[i]; }
|
||||
void SetCoefficient(size_t i, G4double value);
|
||||
void SetCoefficients(size_t n, const G4double* coeffs);
|
||||
|
||||
// Set the domain over which random numbers are generated and over which
|
||||
// the CDF is evaluated
|
||||
void SetDomain(G4double x1, G4double x2);
|
||||
|
||||
// Normalize PDF to 1 over domain fX1 to fX2. Used internally by
|
||||
// GetRandomX(), but the user may want to call this as well for evaluation
|
||||
// purposes.
|
||||
void Normalize();
|
||||
|
||||
// Evaluate (d/dx)^ddxPower f(x) (-1 <= ddxPower <= 2)
|
||||
// ddxPower = -1 -> CDF;
|
||||
// ddxPower = 0 -> PDF
|
||||
// ddxPower = 1 -> PDF'
|
||||
// ddxPower = 2 -> PDF''
|
||||
G4double Evaluate(G4double x, G4int ddxPower = 0);
|
||||
|
||||
// Generate a random number from this PDF
|
||||
G4double GetRandomX();
|
||||
|
||||
// Set the tolerance to within negative minima are checked
|
||||
inline void SetTolerance(G4double tolerance) { fTolerance = tolerance; }
|
||||
|
||||
// Find a value x between x1 and x2 at which ddxPower[PDF](x) = p.
|
||||
// ddxPower = -1 -> CDF;
|
||||
// ddxPower = 0 -> PDF
|
||||
// ddxPower = 1 -> PDF'
|
||||
// (ddxPower = 2 not implemented)
|
||||
// Solves analytically when possible, and otherwise uses the Newton-Raphson
|
||||
// method to find the zero of ddxPower[PDF](x) - p.
|
||||
// If not found in range, returns the nearest boundary.
|
||||
// Beware that if x1 and x2 are not set carefully there may be multiple
|
||||
// solutions, and care is not taken to select a particular one among them.
|
||||
// Returns x2 on error
|
||||
G4double GetX( G4double p, G4double x1, G4double x2, G4int ddxPower = 0, G4double guess = 1.e99, G4bool bisect = true );
|
||||
inline G4double EvalInverseCDF(G4double p) { return GetX(p, fX1, fX2, -1, fX1 + p*(fX2-fX1)); }
|
||||
G4double Bisect( G4double p, G4double x1, G4double x2 );
|
||||
|
||||
void Dump();
|
||||
|
||||
protected:
|
||||
// Checks for negative values between x1 and x2. Used by GetRandomX()
|
||||
G4bool HasNegativeMinimum(G4double x1, G4double x2);
|
||||
|
||||
G4double fX1;
|
||||
G4double fX2;
|
||||
std::vector<G4double> fCoefficients;
|
||||
G4bool fChanged;
|
||||
G4double fTolerance;
|
||||
};
|
||||
|
||||
#endif
|
||||
Reference in New Issue
Block a user