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Electron transport using the macro Monte Carlo method for medical physics applications

Journal Article · · Transactions of the American Nuclear Society
OSTI ID:552577
;  [1];  [2]
  1. Los Alamos National Lab., NM (United States)
  2. Albany Medical College, NY (United States)
Electron transport Monte Carlo calculations are notoriously time consuming. Electrons undergo a tremendous number of collisions, each of relatively little consequence. Macro Monte Carlo (MMC) is one way of reducing the computational burden of traditional condensed-history electron transport. The essential idea is to define a volume of physical space, or {open_quotes}kugel,{close_quotes} transport particles through this volume, and tally the particles exiting the volume. This process, performed over many incident energies, can be viewed as a series of local calculations. These tallies are post-processed to construct a library. This library is then used in a new algorithm to transport the particles in a global sense, where the electrons take large-scale, macroscopic kugel steps through the material. The computational acceleration results from the fact that within the kugel there are many interactions that are essentially averaged to produce a net effect. Thus, one macro kugel step is equivalent to many electron steps. This is similar to standard condensed-history algorithms, differing primarily in the way the distributions are constructed.
OSTI ID:
552577
Report Number(s):
CONF-971125--
Journal Information:
Transactions of the American Nuclear Society, Journal Name: Transactions of the American Nuclear Society Vol. 77; ISSN 0003-018X; ISSN TANSAO
Country of Publication:
United States
Language:
English

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