Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

FPGA-based trapezoidal digital pulse shaping in nuclear spectrometry

Authors
Choi, H.[Choi, H.]Chai, J.-S.[Chai, J.-S.]
Issue Date
Feb-2023
Publisher
Korean Physical Society
Keywords
Digital pulse processing; Radiation detection; Trapezoidal shaping
Citation
Journal of the Korean Physical Society, v.82, no.3, pp.236 - 243
Indexed
SCIE
SCOPUS
KCI
Journal Title
Journal of the Korean Physical Society
Volume
82
Number
3
Start Page
236
End Page
243
URI
https://scholarworks.bwise.kr/skku/handle/2021.sw.skku/104687
DOI
10.1007/s40042-022-00661-1
ISSN
0374-4884
Abstract
A digital pulse processing is most widely used in nuclear spectrometry for achieving good energy resolution at high count rates. We developed a digital pulse processing system to implement a peak detection algorithm using digital trapezoidal pulse shaping. The incident radiation signal amplified by the preamplifier is converted into digital data through the prefilter and the analog-to-digital converter; then, this signal is shaped into trapezoidal pulses through the implemented algorithm which consists of rising edge detection, pile-up signal discrimination and offset remove, two stages of convolutions, peak detection and ballistic deficit discrimination. We compared a linearity of the system between simulation and experimental results. The noise was calculated using a commercial test input pulser, and then, the 59.5 keV of gamma-ray spectrum with CdTe Schottky detector was obtained using an Am-241 radioisotope source. This system showed better noise characteristics and gamma-ray spectroscopy characteristics than existing commercial analog systems. © 2023, The Korean Physical Society.
Files in This Item
There are no files associated with this item.
Appears in
Collections
Information and Communication Engineering > School of Electronic and Electrical Engineering > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher CHAI, JONG SEO photo

CHAI, JONG SEO
Information and Communication Engineering (Electronic and Electrical Engineering)
Read more

Altmetrics

Total Views & Downloads

BROWSE