Radiation Problems: From Analytical to Monte-Carlo Solutions

  • 저   자 : Laurent Bourgois
  • 역   자 :
  • 출판사 : EDP Sciences
  • ISBN(10) : 2759824616
  • ISBN(13) : 9782759824618
  • 발행일 : 2022-09-02  /   1판   /   272 페이지
  • 상품코드 : 29104
  • 적립금: 3,780
  • 정가: $ 129.08
210,000189,000

This book reports on the state-of-the-art in terms of dosimetric, ionizing radiation metrology and radiation
protection through exercises related to practical applications. For each problem, the book provides
resolutions by means of analytical and semi-empirical formulas stemming from nuclear physics theory and the
latest research contributions. For most applications (cavity theory, absorbed dose calculation for protons,
quantities and dimensioning of X-ray generators...) the most recent data and calculation methods are part of
the tools used. Moreover, in most applications/problems discussed, an inter-comparison with the numerical
results obtained with a Monte-Carlo code commonly in worldwide use, MCNP, is presented. This code allows
providing "actual" values in order to test the accuracy of the whole of analytical or semi-empirical
results. For each case study, the numerical model is discussed, the input file is fully provided, and its
structure is detailed. Some complex geometries involved in the modeled radiological scenes as well as the
features used to generate, transport and track particles are described. On another note, emphasis is placed
on the raw MCNP results normalization and on variance reduction techniques employed to improve or enable the
convergence of statistical estimators toward the end result.



This book is aimed at an audience having a solid background in the addressed themes and is recommended for
students from Physics Bachelor's degree. It can provide theoretical and technical information to engineers
carrying out calculations and to graduate students performing their research work as well. The book is
intended to be instructive and each problem is treated independently. The reader can therefore study the
applications of interest in the desired order.

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