Monte Carlo Methods for Particle Transport

2. Auflage 2020
ISBN: 978-0-367-18805-4
Verlag: CRC Press

Buch, Englisch, 310 Seiten, Format (B × H): 161 mm x 240 mm, Gewicht: 631 g

Fully updated with the latest developments in the eigenvalue Monte Carlo calculations and automatic variance reduction techniques and containing an entirely new chapter on fission matrix and alternative hybrid techniques. This second edition explores the uses of the Monte Carlo method for real-world applications, explaining its concepts and limitations. Featuring illustrative examples, mathematical derivations, computer algorithms, and homework problems, it is an ideal textbook and practical guide for nuclear engineers and scientists looking into the applications of the Monte Carlo method, in addition to students in physics and engineering, and those engaged in the advancement of the Monte Carlo methods.

- 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

Zielgruppe

Academic

Autoren/Hrsg.

Haghighat, Alireza

Fachgebiete

• Naturwissenschaften Physik Mechanik Energie
• Naturwissenschaften Physik Quantenphysik Kernphysik
• Technische Wissenschaften Technik Allgemein Technik: Allgemeines
• Naturwissenschaften Physik Physik Allgemein
• Mathematik | Informatik Mathematik Stochastik

Inhaltsverzeichnis

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

Über Autor(innen)

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.