Published 1975
| Version v1
Report
The Monte Carlo track rotation estimator
Creators
- 1. Ben Gurion Univ. of the Negev, Beersheba (Israel). Dept. of Physics
Description
A new formulation of the Monte Carlo approach to particle transport problems is described by defining a direct point flux estimator which extracts information from ''passage'' points rather than ''collision'' points. The approach leads directly to the radical new concept of track rotation and provides a statistical framework in which it is possible to prove the validity of the track rotation concept in spherically symmetric configurations and the validity of the compensated track rotation concept in non-spherically symmetric configurations. The approach can lead to essentially infinite gains in efficiency over conventional analog Monte Carlo methods which cannot directly estimate the flux at a point. (B.G.)
Additional details
Publishing Information
- Imprint Title
- Transactions of the Israel Nuclear Society and the Israel Health Physics Society (IRPA), of the joint annual meeting 1975, Technion-Israel Institute of Technology, Haifa, November 30, 1975. Vol. 3
- Imprint Pagination
- p. I 49-I 51.
- Report number
- INIS-mf--3133
Conference
- Title
- Joint annual meeting of the Israel Nuclear Society and the Israel Health Physics Society (IRPA).
- Dates
- 30 Nov 1975.
- Place
- Haifa, Israel.
INIS
- Country of Publication
- Israel
- Country of Input or Organization
- Israel
- INIS RN
- 7262299
- Subject category
- S73: NUCLEAR PHYSICS AND RADIATION PHYSICS; S71: CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS; S99: GENERAL AND MISCELLANEOUS;
- Resource subtype / Literary indicator
- Conference
- Descriptors DEI
- MONTE CARLO METHOD; NUCLEAR STRUCTURE; PARTICLE TRACKS; RADIATION FLUX; RANDOMNESS; ROTATIONAL STATES; STATISTICAL MODELS; TRANSPORT THEORY
- Descriptors DEC
- ENERGY LEVELS; EXCITED STATES; MATHEMATICAL MODELS
Optional Information
- Notes
- This work was partially supported by the International Atomic Energy Agency Research contract 1614/RB.