[807] | 1 | // |
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| 2 | // ******************************************************************** |
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| 3 | // * License and Disclaimer * |
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| 4 | // * * |
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| 5 | // * The Geant4 software is copyright of the Copyright Holders of * |
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| 6 | // * the Geant4 Collaboration. It is provided under the terms and * |
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| 7 | // * conditions of the Geant4 Software License, included in the file * |
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| 8 | // * LICENSE and available at http://cern.ch/geant4/license . These * |
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| 9 | // * include a list of copyright holders. * |
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| 10 | // * * |
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| 11 | // * Neither the authors of this software system, nor their employing * |
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| 12 | // * institutes,nor the agencies providing financial support for this * |
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| 13 | // * work make any representation or warranty, express or implied, * |
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| 14 | // * regarding this software system or assume any liability for its * |
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| 15 | // * use. Please see the license in the file LICENSE and URL above * |
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| 16 | // * for the full disclaimer and the limitation of liability. * |
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| 17 | // * * |
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| 18 | // * This code implementation is the result of the scientific and * |
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| 19 | // * technical work of the GEANT4 collaboration. * |
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| 20 | // * By using, copying, modifying or distributing the software (or * |
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| 21 | // * any work based on the software) you agree to acknowledge its * |
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| 22 | // * use in resulting scientific publications, and indicate your * |
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| 23 | // * acceptance of all terms of the Geant4 Software license. * |
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| 24 | // ******************************************************************** |
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| 25 | // |
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| 26 | // |
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| 27 | // Convergence Tests for Monte Carlo resut. |
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| 28 | // |
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| 29 | // Reference |
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| 30 | // MCNP(TM) -A General Monte Carlo N-Particle Transport Code |
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| 31 | // Version 4B |
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| 32 | // Judith F. Briesmeister, Editor |
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| 33 | // LA-12625-M, Issued: March 1997, UC 705 and UC 700 |
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| 34 | // CHAPTER 2. GEOMETRY, DATA, PHYSICS, AND MATHEMATICS |
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| 35 | // VI. ESTIMATION OF THE MONTE CARLO PRECISION |
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| 36 | // |
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| 37 | // Positives numbers are assumed for input values |
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| 38 | // |
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| 39 | // Koi, Tatsumi (SLAC/SCCS) |
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| 40 | // |
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| 41 | |
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| 42 | #ifndef G4ConvergenceTester |
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| 43 | #define G4ConvergenceTester_h 1 |
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| 44 | |
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| 45 | #include "G4SimplexDownhill.hh" |
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| 46 | |
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| 47 | #include "G4Timer.hh" |
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| 48 | #include "globals.hh" |
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| 49 | |
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| 50 | #include <map> |
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| 51 | #include <vector> |
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| 52 | |
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| 53 | class G4ConvergenceTester |
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| 54 | { |
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| 55 | |
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| 56 | public: |
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| 57 | G4ConvergenceTester(); |
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| 58 | ~G4ConvergenceTester(); |
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| 59 | G4ConvergenceTester( G4double ); |
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| 60 | |
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| 61 | public: |
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| 62 | void AddScore( G4double ); |
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| 63 | |
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| 64 | void ShowHistory(); |
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| 65 | void ShowResult(); |
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| 66 | |
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| 67 | G4double GetValueOfMinimizingFunction( std::vector< G4double > x ){ return slope_fitting_function( x ); }; |
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| 68 | |
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| 69 | private: |
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| 70 | void calStat(); |
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| 71 | |
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| 72 | G4double GetMean() { return mean; }; |
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| 73 | G4double GetStandardDeviation() { return sd; }; |
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| 74 | G4double GetVariance() { return var; }; |
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| 75 | G4double GetR() { return r; }; |
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| 76 | G4double GetEfficiency() { return efficiency; }; |
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| 77 | G4double GetR2eff() { return r2eff; }; |
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| 78 | G4double GetR2int() { return r2int; }; |
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| 79 | G4double GetShift() { return shift; }; |
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| 80 | G4double GetVOV() { return vov; }; |
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| 81 | G4double GetFOM() { return fom; }; |
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| 82 | |
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| 83 | std::map< G4int , G4double > nonzero_histories; // (ith-history , score value) |
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| 84 | G4int n; // number of history; |
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| 85 | G4double sum; // sum of scores; |
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| 86 | |
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| 87 | G4Timer* timer; |
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| 88 | std::vector<G4double> cpu_time; |
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| 89 | |
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| 90 | private: |
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| 91 | |
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| 92 | G4double mean; |
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| 93 | G4double var; |
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| 94 | G4double sd; |
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| 95 | G4double r; // relative err sd/mean/sqrt(n) |
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| 96 | G4double efficiency; // rate of non zero score |
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| 97 | G4double r2eff; |
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| 98 | G4double r2int; |
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| 99 | G4double shift; |
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| 100 | G4double vov; |
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| 101 | G4double fom; |
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| 102 | |
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| 103 | G4double largest; |
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| 104 | G4int largest_score_happened; |
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| 105 | |
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| 106 | |
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| 107 | G4double mean_1; |
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| 108 | G4double var_1; |
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| 109 | G4double sd_1; |
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| 110 | G4double r_1; // relative err sd/mean/sqrt(n) |
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| 111 | G4double shift_1; |
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| 112 | G4double vov_1; |
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| 113 | G4double fom_1; |
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| 114 | |
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| 115 | |
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| 116 | void calc_grid_point_of_history(); |
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| 117 | void calc_stat_history(); |
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| 118 | G4int noBinOfHistory; |
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| 119 | std::vector< G4int > history_grid; |
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| 120 | std::vector< G4double > mean_history; |
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| 121 | std::vector< G4double > var_history; |
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| 122 | std::vector< G4double > sd_history; |
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| 123 | std::vector< G4double > r_history; |
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| 124 | std::vector< G4double > vov_history; |
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| 125 | std::vector< G4double > fom_history; |
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| 126 | std::vector< G4double > shift_history; |
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| 127 | std::vector< G4double > e_history; |
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| 128 | std::vector< G4double > r2eff_history; |
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| 129 | std::vector< G4double > r2int_history; |
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| 130 | |
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| 131 | void check_stat_history(); |
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| 132 | |
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| 133 | G4double calc_Pearson_r( G4int , std::vector<G4double> , std::vector<G4double> ); |
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| 134 | G4bool is_monotonically_decrease( std::vector<G4double> ); |
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| 135 | |
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| 136 | G4double slope; |
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| 137 | std::vector< G4double > largest_scores; |
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| 138 | void calc_slope_fit( std::vector< G4double > ); |
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| 139 | std::vector< G4double > f_xi; |
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| 140 | std::vector< G4double > f_yi; |
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| 141 | G4int noBinOfPDF; |
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| 142 | G4SimplexDownhill<G4ConvergenceTester>* minimizer; |
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| 143 | G4double slope_fitting_function( std::vector< G4double > ); |
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| 144 | |
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| 145 | G4int noPass; |
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| 146 | G4int noTotal; // Total number of tests |
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| 147 | |
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| 148 | }; |
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| 149 | #endif |
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| 150 | |
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