Geometric Convergence of Adaptive Monte Carlo Algorithms for Radiative Transport Problems Based on Importance Sampling Methods [0.03%]
基于重要性采样法的辐射输运问题自适应蒙特卡罗算法的几何收敛性研究
Rong Kong,Jerome Spanier
Rong Kong
Importance sampling is a very well-known variance-reducing technique used in Monte Carlo simulations of radiative transport. It involves a distortion of the physical (analog) transition probabilities with the goal of causing events of inter...
L Heilbronn,R S Cary,M Cronqvist et al.
L Heilbronn et al.
Neutron fluences have been measured from 155 MeV/nucleon 4He and 12C ions stopping in an Al target at laboratory angles between 10 and 160 deg. The resultant spectra were integrated over angle and energy above 10 MeV to produce total neutro...
S Y Chun,G S Khandelwal,J W Wilson
S Y Chun
A heavy-ion transport code using Green's function methods is developed. The low-order perturbation terms exhibiting the greatest energy variation are used as dominant energy-dependent terms, and the higher order collision terms are evaluate...
J W Wilson,L W Townsend,B Ganapol et al.
J W Wilson et al.
A numerical solution to high-energy charged-particle transport is found by evaluation of the integral equations obtained by inverting the Boltzmann differential operator. An algorithm has been written for either continuous or discrete spect...
S L Lamkin,G S Khandelwal,J L Shinn et al.
S L Lamkin et al.
An approximate evaluation procedure is derived for a second-order theory of coupled nucleon transport in one dimension. An analytical solution with a simplified interaction model is used to determine quadrature parameters to minimize trunca...