Computational Neutron Transport and Monte Carlo Methods in Python

By Jamie Flux

Unlock the intricacies of neutron transport and delve into the world of Monte Carlo methods through an authoritative and meticulously crafted guide. This comprehensive tome provides an in-depth exploration of the mathematical foundations underpinning neutron transport theory, before methodically advancing to sophisticated computational techniques and their applications. Recipients of this rigorous work will benefit from exacting detail on deterministic methods, innovative hybrid strategies, and cutting-edge Monte Carlo simulations-- crafted with precision for the demands of today's nuclear engineering challenges. An essential resource for practitioners, researchers, and advanced students, this volume goes beyond introductory material to offer detailed equations, algorithmic insights, and practical implementation strategies in Python. Each chapter is designed to build your proficiency systematically, from foundational concepts to advanced topics including optimization, criticality calculations, and uncertainty quantification. This book is not just a text; it is an indispensable toolkit for tackling complex computational problems in neutron transport. It is a testament to deep analytical thinking, technological mastery, and an unyielding commitment to advancing the field of computational neutron transport.

• Format: Hardcover
• Language: English
• ISBN: B0D7ZFLL36
• ISBN13: 9798329335712
• Release Date: June 2024
• Publisher: Independently published
• Length: 160 Pages
• Dimensions: 9.2" x 0.6" x 6.2"