Published March 1, 1999 | Version v1
Report

The excess mean free path transport condensed history algorithm

Description

A new Condensed History algorithm is introduced to enhance the Monte Carlo simulation of electron transport problems. Unlike established multiple scattering algorithms, this method is a true transport process--it simulates a transport equation that approximates the exact Boltzmann equation. The new equation has a larger mean free path than, and preserves two angular moments of, the Boltzmann equation. Thus, the new equation conserves both particles and scattering power, and it is more efficient to model by Monte Carlo. We show that this ''Transport Condensed History'' algorithm more accurately predicts electron position as a function of path length traveled (energy lost) than current Condensed History schemes. We also show that it can move particles across material boundaries and interfaces with acceptable accuracy and efficiency

Availability note (English)

Available from PURL: https://www.osti.gov/servlets/purl/13926-XOlHcm/native/

Additional details

Publishing Information

Imprint Pagination
1.0 Megabytes
Report number
UCRL-JC--133660

Conference

Title
International Conference on Mathematics and Computation, Reactor Physics, and Environmental Analysis in Nuclear Applications
Dates
27-30 Sep 1999
Place
Madrid (Spain)

INIS

Country of Publication
United States
Country of Input or Organization
United States
INIS RN
32069539
Subject category
S71: CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS;
Resource subtype / Literary indicator
Conference, Non-conventional Literature
Descriptors DEI
ALGORITHMS; BOLTZMANN EQUATION; COMPUTERIZED SIMULATION; ELECTRON TRANSFER; MEAN FREE PATH; MONTE CARLO METHOD; MULTIPLE SCATTERING; TRANSPORT THEORY
Descriptors DEC
CALCULATION METHODS; DIFFERENTIAL EQUATIONS; EQUATIONS; INTEGRO-DIFFERENTIAL EQUATIONS; KINETIC EQUATIONS; PARTIAL DIFFERENTIAL EQUATIONS; SCATTERING; SIMULATION

Optional Information

Contract/Grant/Project number
W-7405-ENG-48
Funding organization
USDOE Office of Defense Programs (DP) (United States)
Secondary number(s)
DP--0102052