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Monte Carlo Methods for Radiation Transport: Fundamentals and Advanced Topics

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Monte Carlo Methods for Radiation Transport: Fundamentals and Advanced Topics

Monte Carlo Methods for Radiation Transport: Fundamentals and Advanced Topics
Springer | Physics | November 18, 2016 | ISBN-10: 331944140X | 281 pages | pdf | 3.73 mb

Authors: Vassiliev, Oleg N.
Covers the foundations of both the radiation transport theory and Monte Carlo on an introductory level
Focuses on the fundamentals and explains the mathematical foundations and the underlying logic of Monte Carlo algorithms
Comprehensively covers all the classical as well as recently emerging topics important for medical physics applications
Presents most of the techniques as step-by-step algorithms, so that the reader will have ready-to-use recipes for a variety of problems


This book is a guide to the use of Monte Carlo techniques in radiation transport. This topic is of great interest for medical physicists. Praised as a "gold standard" for accurate radiotherapy dose calculations, Monte Carlo has stimulated a high level of research activity that has produced thousands of papers within the past few years. The book is designed primarily to address the needs of an academically inclined medical physicist who wishes to learn the technique, as well as experienced users of standard Monte Carlo codes who wish to gain insight into the underlying mathematics of Monte Carlo algorithms. The book focuses on the fundamentals—giving full attention to and explaining the very basic concepts. It also includes advanced topics and covers recent advances such as transport of charged particles in magnetic fields and the grid-based solvers of the Boltzmann equation.

Number of Pages
XVII, 281
Number of Illustrations and Tables
6 b/w illustrations, 32 illustrations in colour
Topics
Medical and Radiation Physics
Diagnostic Radiology
Biological and Medical Physics, Biophysics
Particle Acceleration and Detection, Beam Physics
Numerical and Computational Physics, Simulation
Mathematical Applications in the Physical Sciences

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