Neutron Activation Analysis (NAA) is a technique based on gamma rays emitted from neutron-nucleus interactions. Such interactions are unique for each element and isotope, and the measured gamma spectrum can identify the atomic composition of the target object. This proof-of-concept study explores the possibility of adding spatial information to NAA by employing ghost imaging (GI). In this article, the TOPAS Monte-Carlo particle simulation tool was utilised to simulate the potential deployment of GI at ANSTO’s DINGO neutron imaging beamline. In TOPAS the DINGO beamline was implemented to include the neutron source, collimator, and detector with an additional gamma-ray sensor. A GI experiment using a randomly structured Cd mask to pattern the neutron illumination was then simulated for 41 different mask positions. GI reconstruction enabled visualisation of the gold distribution in a test object. The simulation serves as a demonstration of the principle, and a means to better understand the appropriate experimental scenarios and acquisition times to successfully realise prompt-gamma GI in practice.

错误:搜索内容不能为空,请输入英文关键词
错误:关键词超出字数限制,请精简
高级检索

Monte-Carlo Simulation of Prompt-Gamma Ghost Imaging: Proof of Concept

  • Cheng-i Chiang,
  • Alaleh Aminzadeh,
  • Wilfred K. Fullagar,
  • Ulf Garbe,
  • Filomena Salvemini,
  • Joseph J. Bevitt,
  • Jeremy M. C. Brown,
  • David M. Paganin,
  • Andrew M. Kingston

摘要

Neutron Activation Analysis (NAA) is a technique based on gamma rays emitted from neutron-nucleus interactions. Such interactions are unique for each element and isotope, and the measured gamma spectrum can identify the atomic composition of the target object. This proof-of-concept study explores the possibility of adding spatial information to NAA by employing ghost imaging (GI). In this article, the TOPAS Monte-Carlo particle simulation tool was utilised to simulate the potential deployment of GI at ANSTO’s DINGO neutron imaging beamline. In TOPAS the DINGO beamline was implemented to include the neutron source, collimator, and detector with an additional gamma-ray sensor. A GI experiment using a randomly structured Cd mask to pattern the neutron illumination was then simulated for 41 different mask positions. GI reconstruction enabled visualisation of the gold distribution in a test object. The simulation serves as a demonstration of the principle, and a means to better understand the appropriate experimental scenarios and acquisition times to successfully realise prompt-gamma GI in practice.