View in EDS PDF Full Text

Radiation Problems: From Analytical to Monte-Carlo Solutions

Saved in:
Bibliographic Details
Title: Radiation Problems: From Analytical to Monte-Carlo Solutions
Description: 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.
Authors: Laurent Bourgois, Rodolphe Antoni, Manon Delarue
Resource Type: eBook.
Subjects: Radiation--Measurement, Radiation
Categories: SCIENCE / Radiation
Database: eBook Collection (EBSCOhost)
FullText Links:
  – Type: ebook-pdf
Text:
  Availability: 0
Header DbId: nlebk
DbLabel: eBook Collection (EBSCOhost)
An: 3500890
RelevancyScore: 1103
AccessLevel: 6
PubType: eBook
PubTypeId: ebook
PreciseRelevancyScore: 1103.19409179688
IllustrationInfo
ImageInfo – Size: thumb
  Target: https://rps2images.ebscohost.com/rpsweb/othumb?id=NL$3500890$PDF&s=r
– Size: medium
  Target: https://rps2images.ebscohost.com/rpsweb/othumb?id=NL$3500890$PDF&s=d
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Radiation Problems: From Analytical to Monte-Carlo Solutions
– Name: Abstract
  Label: Description
  Group: Ab
  Data: 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.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Laurent+Bourgois%22">Laurent Bourgois</searchLink><br /><searchLink fieldCode="AR" term="%22Rodolphe+Antoni%22">Rodolphe Antoni</searchLink><br /><searchLink fieldCode="AR" term="%22Manon+Delarue%22">Manon Delarue</searchLink>
– Name: TypePub
  Label: Resource Type
  Group: TypPub
  Data: eBook.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Radiation--Measurement%22">Radiation--Measurement</searchLink><br /><searchLink fieldCode="DE" term="%22Radiation%22">Radiation</searchLink>
– Name: SubjectBISAC
  Label: Categories
  Group: Su
  Data: <searchLink fieldCode="ZK" term="%22SCIENCE+%2F+Radiation%22">SCIENCE / Radiation</searchLink>
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=nlebk&AN=3500890
RecordInfo BibRecord:
  BibEntity:
    Classifications:
      – Code: 539.722
        Scheme: ddc
        Type: prePub
    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Radiation--Measurement
        Type: general
      – SubjectFull: Radiation
        Type: general
    Titles:
      – TitleFull: Radiation Problems: From Analytical to Monte-Carlo Solutions
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Laurent Bourgois
      – PersonEntity:
          Name:
            NameFull: Rodolphe Antoni
      – PersonEntity:
          Name:
            NameFull: Manon Delarue
      – PersonEntity:
          Name:
            NameFull: Laurent Bourgois
      – PersonEntity:
          Name:
            NameFull: Rodolphe Antoni
      – PersonEntity:
          Name:
            NameFull: Manon Delarue
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2021
            – D: 29
              M: 08
              Type: profile
              Y: 2023
          Identifiers:
            – Type: isbn-print
              Value: 9782759824618
            – Type: isbn-electronic
              Value: 9782759826506
          Titles:
            – TitleFull: Radiation Problems: From Analytical to Monte-Carlo Solutions
              Type: main
ResultId 1