TY  - BOOK
AU  - Vassiliev,Oleg N.
ED  - SpringerLink (Online service)
TI  - Monte Carlo Methods for Radiation Transport: Fundamentals and Advanced Topics 
T2  - Biological and Medical Physics, Biomedical Engineering,
SN  - 9783319441412
AV  - QC474-496.9 
U1  - 610.153 23
PY  - 2017///
CY  - Cham
PB  - Springer International Publishing, Imprint: Springer
KW  - Medical physics
KW  - Radiation
KW  - Radiology
KW  - Biophysics
KW  - Biological physics
KW  - Particle acceleration
KW  - Physics
KW  - Mathematical physics
KW  - Medical and Radiation Physics
KW  - Diagnostic Radiology
KW  - Biological and Medical Physics, Biophysics
KW  - Particle Acceleration and Detection, Beam Physics
KW  - Numerical and Computational Physics, Simulation
KW  - Mathematical Applications in the Physical Sciences
N1  - Introduction -- Sampling techniques -- The Boltzmann equation -- Particle trajectories, tallies, variance reduction -- Transport of charged particles -- Microdosimetry. Elements of stochastic transport theory -- Grid based Boltzmann equation solvers -- Appendices; Available to subscribing member institutions only. Доступно лише організаціям членам підписки
N2  - 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
UR  - https://doi.org/10.1007/978-3-319-44141-2
ER  -