Monte Carlo Methods for Particle Transport
CRC Press (Verlag)
978-0-367-53809-5 (ISBN)
Describes general and particle-transport-specific automated variance reduction techniques
Presents Monte Carlo particle transport eigenvalue issues and methodologies to address these issues
Presents detailed derivation of existing and advanced formulations and algorithms with real-world examples from the author’s research activities
Dr. Alireza Haghighat is professor and Director of Nuclear Engineering Program, Virginia Tech. He is a fellow of the American Nuclear Society. He has made pioneering contributions to the development of accurate and efficient deterministic, stochastic, and hybrid particle transport theory methods and their application to complex problems in nuclear reactors, nuclear security and radiation diagnosis and therapy.
1 Introduction. 2 Random Variables and Sampling. 3 Random Number Generator (RNG). 4 Fundamentals of Probability and Statistics. 5 Integrals and Associated Variance Reduction Techniques. 6 Fixed-Source Monte Carlo Particle Transport. 7 Variance Reducation Techniques or Fixed-Source Particles. 8 Scoring/ Tallying. 9 Geometry and Particle Tracking. 10 Eigenvalue (Criticality) Monte Carlo Method for Particle Transport. 11 Fission Matrix Methods for Eigenvalue Monte Carlo Simulation. 12 Vector and Parallel Processing of Monte Carlo Particle Transport
| Erscheinungsdatum | 21.04.2022 |
|---|---|
| Zusatzinfo | 48 Tables, black and white; 81 Line drawings, black and white; 2 Halftones, black and white; 83 Illustrations, black and white |
| Verlagsort | London |
| Sprache | englisch |
| Maße | 156 x 234 mm |
| Gewicht | 453 g |
| Themenwelt | Mathematik / Informatik ► Mathematik |
| Technik ► Elektrotechnik / Energietechnik | |
| Technik ► Umwelttechnik / Biotechnologie | |
| ISBN-10 | 0-367-53809-1 / 0367538091 |
| ISBN-13 | 978-0-367-53809-5 / 9780367538095 |
| Zustand | Neuware |
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