Monte Carlo Methods for Particle Transport

Alireza Haghighat

ISBN 10: 0367538091 / ISBN 13: 9780367538095

Verlag: Taylor and Francis Ltd, GB, 2022

Beschreibung

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.

Bestandsnummer des Verkäufers LU-9780367538095

Bibliografische Details

• Titel: Monte Carlo Methods for Particle Transport
• Verlag: Taylor and Francis Ltd, GB
• Erscheinungsjahr: 2022
• Sprache: Englisch
• ISBN-10: 0367538091
• ISBN-13: 9780367538095
• Einband: Paperback
• Auflage: 2. Auflage
• Zustand: New
• Gewicht: 570 Gramm

Über diesen Titel

Inhaltsangabe

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.

Über die Autorin bzw. den Autor

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.