Optimum angle-cut of collimator for dense objects in high-energy proton radiography

The use of minus identity lenses with an angle-cut collimator can achieve high contrast images in highenergy proton radiography.This article presents the principles of choosing the angle-cut aperture of the collimator for different energies and objects.Numerical simulation using the Monte Carlo code...

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Bibliographic Details
Published inChinese physics C Vol. 40; no. 2; pp. 102 - 106
Main Author 许海波 郑娜
Format Journal Article
LanguageEnglish
Published 01.02.2016
Subjects
Apertures
Collimation
Computer simulation
Geant4
Image contrast
Mathematical models
Monte Carlo methods
Optimization
Radiography
准直器
平行光管
物体
蒙特卡罗程序
质子照相
高密度
高能
Online AccessGet full text
ISSN1674-1137
0254-3052
DOI10.1088/1674-1137/40/2/028201

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Summary:The use of minus identity lenses with an angle-cut collimator can achieve high contrast images in highenergy proton radiography.This article presents the principles of choosing the angle-cut aperture of the collimator for different energies and objects.Numerical simulation using the Monte Carlo code Geant4 has been implemented to investigate the entire radiography for the French test object.The optimum angle-cut apertures of the collimators are also obtained for different energies.
Bibliography:The use of minus identity lenses with an angle-cut collimator can achieve high contrast images in highenergy proton radiography.This article presents the principles of choosing the angle-cut aperture of the collimator for different energies and objects.Numerical simulation using the Monte Carlo code Geant4 has been implemented to investigate the entire radiography for the French test object.The optimum angle-cut apertures of the collimators are also obtained for different energies.
Hai-Bo Xu,a Zheng（Institute of Applied Physics and Computational Mathematics, Beijing 100094, China）
11-5641/O4
proton radiography multiple Coulomb scattering angular collimator French test object Geant4
ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISSN:1674-1137
0254-3052
DOI:10.1088/1674-1137/40/2/028201