Abstract Details
Abstracts
Author: Guannan Zhang
Requested Type: Poster
Submitted: 2019-02-21 20:10:53
Co-authors: Diego Del-Castillo-Negrete
Contact Info:
Oak Ridge National Laboratory
PO BOX 2008 MS 6211
Oak Ridge National Labora, 37934
USA
Abstract Text:
Kinetic descriptions of runaway electrons (RE) are usually based on the bounced-averaged Fokker-Planck model that determines the PDFs of RE. Despite of the simplification involved, the Fokker-Planck equation can rarely be solved analytically and direct numerical approaches (e.g., continuum and particle-based Monte Carlo (MC)) can be time consuming specially in the computation of asymptotic-type observable including the runaway probability, the slowing-down and runaway mean times, and the energy limit probability. In our previous work, we developed an efficient backward MC method that can simultaneously describe the PDF of RE and the runaway probabilities by means of the well-known Feynman-Kac theory, and achieve much faster convergence than the brute-force MC methods. In this presentation, we report on the recent advances on the backward MC method for 3D runaway problems with time-dependent parameters, as well as the use of GPUs to dramatically accelerate the 3D interpolation in the backward MC method.
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