Limitations of Decision Based Pile-Up Correction Algorithms

C. McLean, Michael Pauley, J. Manton
{"title":"Limitations of Decision Based Pile-Up Correction Algorithms","authors":"C. McLean, Michael Pauley, J. Manton","doi":"10.1109/SSP.2018.8450835","DOIUrl":null,"url":null,"abstract":"Nuclear spectroscopy attempts to infer elemental composition by estimating the energy distribution of X-ray/gamma-ray photons. Performance at high count rates is limited by pulse pile-up. Numerous approaches attempt to estimate the properties of individual photons in the time domain. This work provides an asymptotic description of pile-up for the Neyman Pearson detector, showing that any algorithm that makes decisions regarding individual pulses will eventually suffer and be limited by pile-up.","PeriodicalId":330528,"journal":{"name":"2018 IEEE Statistical Signal Processing Workshop (SSP)","volume":"276 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE Statistical Signal Processing Workshop (SSP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SSP.2018.8450835","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

Abstract

Nuclear spectroscopy attempts to infer elemental composition by estimating the energy distribution of X-ray/gamma-ray photons. Performance at high count rates is limited by pulse pile-up. Numerous approaches attempt to estimate the properties of individual photons in the time domain. This work provides an asymptotic description of pile-up for the Neyman Pearson detector, showing that any algorithm that makes decisions regarding individual pulses will eventually suffer and be limited by pile-up.
基于决策的堆积校正算法的局限性
核光谱学试图通过估计x射线/伽马射线光子的能量分布来推断元素组成。在高计数率下的性能受到脉冲堆积的限制。许多方法试图估计单个光子在时域中的性质。这项工作为Neyman Pearson检测器提供了堆积的渐近描述,表明任何针对单个脉冲做出决策的算法最终都会受到堆积的影响和限制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信