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Monte Carlo Particle Transport Methods: Neutron and Photon - gnssn

Monte Carlo Particle Transport Methods: Neutron and Photon - gnssn

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III. Statistical Considerations • • 62A. The Central Limit Theorem 63B. The Actual Computations . 63C The Efficiency 65Appendix 3A:Energy Selection from the Klein-Nishina Formula 65A. Combination of the Direct Sampling <strong>and</strong>Rejection Techniques — 66B. The Carlson Method 68Appendix 3B:Thermal <strong>Neutron</strong> Energy Selection 69A. Selection from the Maxwellian Distribution 69B. New Energy Selection from the Differential Thermal<strong>Neutron</strong> Cross-Section 70Appendix 3C:Fission <strong>Neutron</strong> Energy Selection .....71Appendix 3D:Angle Selection for Anisotropic Scatterings 73A. Table Look up Method 75B. Sampling from Linear Anisotropic Angular Distribution 75C. Application of the Rejection Technique for the LegeodreExpansion 77D. Selection of Discrete Angles from the Legendre Expansion — 77References... • - 79Chapter 4Collision Density <strong>and</strong> Importance Equations <strong>and</strong> Their Solution by<strong>Monte</strong> <strong>Carlo</strong> 81I. <strong>Monte</strong> <strong>Carlo</strong> Calculation of Integrals ...............81A. Two Basic Ways for Solving One-DimensionalIntegrals — ................................81B. Generalization to Multi-Dimensional Cases.................. — , 83C. Integration Domains of Complicated Shape 83D. Convergence of Numerical Integration <strong>Methods</strong>....... 85II. Elementary Variance Reducing Techniques — — 86A. Mean <strong>and</strong> Variance, in Straightforward Sampling 86B. Importance Sampling .... — 87C. Systematic Sampling 89D. Quota Sampling - — ,. 90E. Use of Expected Values — , .,.. 9 JF. Correlated Sampling 92G. Further <strong>Methods</strong> 93III. Solution of Fredholm-Type Integral Equations 93A. Introduction 93B. Fredholm-Type Integral Equations, Functionals to beDetermined — ..... — .. 94C. Expansion into Neumann Series <strong>and</strong> Solution by<strong>Monte</strong> <strong>Carlo</strong> 94

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