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

Get Citation
Hai-Bo Xu and Na Zheng. Optimum angle-cut of collimator for dense objects in high-energy proton radiography[J]. Chinese Physics C, 2016, 40(2): 028201. doi: 10.1088/1674-1137/40/2/028201
Hai-Bo Xu and Na Zheng. Optimum angle-cut of collimator for dense objects in high-energy proton radiography[J]. Chinese Physics C, 2016, 40(2): 028201.  doi: 10.1088/1674-1137/40/2/028201 shu
Milestone
Received: 2015-04-08
Revised: 2015-09-18
Fund

    Supported by NSAF (11176001) and Science and Technology Developing Foundation of China Academy of Engineering Physics (2012A0202006)

Article Metric

Article Views(1449)
PDF Downloads(120)
Cited by(0)
Policy on re-use
To reuse of subscription content published by CPC, the users need to request permission from CPC, unless the content was published under an Open Access license which automatically permits that type of reuse.
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索

Email This Article

Title:
Email:

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

    Corresponding author: Na Zheng,
  • 1. Institute of Applied Physics and Computational Mathematics, Beijing 100094, China
Fund Project:  Supported by NSAF (11176001) and Science and Technology Developing Foundation of China Academy of Engineering Physics (2012A0202006)

Abstract: The use of minus identity lenses with an angle-cut collimator can achieve high contrast images in high-energy 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.

    HTML

Reference (14)

目录

/

DownLoad:  Full-Size Img  PowerPoint
Return
Return