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A transport-based condensed history algorithm
Condensed history algorithms are approximate electron transport Monte Carlo methods in which the cumulative effects of multiple collisions are modeled in a single step of (user-specified) path length s{sub 0}. This path length is the distance each Monte Carlo electron travels between collisions. Current condensed history techniques utilize a splitting routine over the range 0 {le} s {le} s{sub 0}. For example, the PEnELOPE method splits each step into two substeps; one with length {xi}s{sub 0} and one with length (1 {minus}{xi})s{sub 0}, where {xi} is a random number from 0 < {xi} < 1. because s{sub 0} is fixed (not sampled from an exponential distribution), conventional condensed history schemes are not transport processes. Here the authors describe a new condensed history algorithm that is a transport process. The method simulates a transport equation that approximates the exact Boltzmann equation. The new transport equation has a larger mean free path than, and preserves two angular moments of, the Boltzmann equation. Thus, the new process is solved more efficiently by Monte Carlo, and it conserves both particles and scattering power.
Date:
January 6, 1999
Creator:
Tolar Jr, D R
Object Type:
Article
System:
The UNT Digital Library
Věstník (Temple, Tex.), Vol. 87, No. 1, Ed. 1 Wednesday, January 6, 1999
Weekly Czech and English language newspaper from Temple, Texas published as the official organ of the Slavonic Benevolent Order of the State of Texas that includes news of interest to members along with advertising.
Date:
January 6, 1999
Creator:
Vanicek, Brian
Object Type:
Newspaper
System:
The Portal to Texas History
The Wylie News (Wylie, Tex.), Vol. 52, No. 32, Ed. 1 Wednesday, January 6, 1999
Weekly newspaper from Wylie, Texas that includes local, state and national news along with advertising.
Date:
January 6, 1999
Creator:
Engbrock, Chad B.
Object Type:
Newspaper
System:
The Portal to Texas History