Adaptive kernel density estimation and Monte Carlo sampling

Journal Article · Tue Dec 31 00:00:00 EST 1996 · Transactions of the American Nuclear Society

OSTI ID:436900

Du, J; Martin, W R ^[1]

---

1. Univ. of Michigan, Ann Arbor, MI (United States)

The simulation of electron transport is computationally intensive. In principle, conventional (analog) Monte Carlo methods can be employed to analyze complex configurations to arbitrary accuracy, but in practice, the amount of computation is prohibitive for most applications. Condensed history Monte Carlo (CHMC) methods, which sample the outcome after a large number of electron collisions, have become the standard method for electron transport calculations but suffer well-known deficiencies. This report describes a method based on the kernel density estimator proposed as an alternative to histogramming.

• OSTI ID: 436900
• Report Number(s): CONF-9606116-; ISSN 0003-018X; TRN: 96:005275-0132
• Journal Information: Transactions of the American Nuclear Society, Vol. 74; Conference: Annual meeting of the American Nuclear Society (ANS), Reno, NV (United States), 16-20 Jun 1996; Other Information: PBD: 1996
• Country of Publication: United States
• Language: English

Related Subjects

66 PHYSICS
99 MATHEMATICS
COMPUTERS
INFORMATION SCIENCE
MANAGEMENT
LAW
MISCELLANEOUS
RADIATION TRANSPORT
MATHEMATICAL MODELS
ACCURACY
ELECTRON COLLISIONS
DENSITY
BETA PARTICLES
CHARGED PARTICLES
PROBABILITY