{"title":"基于决策的堆积校正算法的局限性","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":"{\"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}","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}
Limitations of Decision Based Pile-Up Correction Algorithms
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.