Enabling PSD-capability for a High-density Channel Imager

Ming Fang, Satwik Pani, Angela Di Fulvio

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Pulse shape discrimination (PSD) is crucial for nonproliferation and security applications, where fast neutrons need to be identified and measured in the presence of a strong gamma ray background. The traditional charge-integration based PSD method requires the storage and processing of hundreds of samples for each single pulse, which is time- and memory-consuming for high density channel applications. In this work, we explored the possibility of implementing PSD using a commercial ASIC that allows the user to adjust the pulse shaping time. We demonstrated that PSD can be achieved by by maximizing the difference between the pulse shaping circuit's responses to neutron and gamma ray pulses.

Original languageEnglish (US)
Title of host publication2021 IEEE Nuclear Science Symposium and Medical Imaging Conference Record, NSS/MIC 2021 and 28th International Symposium on Room-Temperature Semiconductor Detectors, RTSD 2022
EditorsHideki Tomita, Tatsuya Nakamura
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665421133
DOIs
StatePublished - 2021
Event2021 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2021 - Virtual, Yokohama, Japan
Duration: Oct 16 2021Oct 23 2021

Publication series

Name2021 IEEE Nuclear Science Symposium and Medical Imaging Conference Record, NSS/MIC 2021 and 28th International Symposium on Room-Temperature Semiconductor Detectors, RTSD 2022

Conference

Conference2021 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2021
Country/TerritoryJapan
CityVirtual, Yokohama
Period10/16/2110/23/21

ASJC Scopus subject areas

  • Nuclear Energy and Engineering
  • Health Informatics
  • Radiology Nuclear Medicine and imaging
  • Nuclear and High Energy Physics

Fingerprint

Dive into the research topics of 'Enabling PSD-capability for a High-density Channel Imager'. Together they form a unique fingerprint.

Cite this