{"title":"光子成像探测系统中噪声的统计分析","authors":"Yu Huang, Xiao-fang Zhang, Xin Yu","doi":"10.1117/12.901631","DOIUrl":null,"url":null,"abstract":"Under the condition of photon limited, a photoelectric detection system with the capability of photon imaging has to be used when a faint target is needed to be imaged. Therefore, a photon imaging detection system (PIDS) has been constructed. When the system works, however, a part of noise is enhanced by the photon imaging head definitely while the signal is amplified. In this paper, two kinds of mathematical statistics methods are employed to analyze the comprehensive characteristics of noise in PIDS. One is probability distribution curve fitting and the other is Chi-square distribution hypothesis testing method. By applying these two methods, the analysis results of experiment data demonstrate that the comprehensive noise of PIDS subjects to the Poisson distribution, which is consistent with the theoretical analysis conclusion.","PeriodicalId":355017,"journal":{"name":"Photoelectronic Detection and Imaging","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Statistical analyses of noise in photon imaging detection system\",\"authors\":\"Yu Huang, Xiao-fang Zhang, Xin Yu\",\"doi\":\"10.1117/12.901631\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Under the condition of photon limited, a photoelectric detection system with the capability of photon imaging has to be used when a faint target is needed to be imaged. Therefore, a photon imaging detection system (PIDS) has been constructed. When the system works, however, a part of noise is enhanced by the photon imaging head definitely while the signal is amplified. In this paper, two kinds of mathematical statistics methods are employed to analyze the comprehensive characteristics of noise in PIDS. One is probability distribution curve fitting and the other is Chi-square distribution hypothesis testing method. By applying these two methods, the analysis results of experiment data demonstrate that the comprehensive noise of PIDS subjects to the Poisson distribution, which is consistent with the theoretical analysis conclusion.\",\"PeriodicalId\":355017,\"journal\":{\"name\":\"Photoelectronic Detection and Imaging\",\"volume\":\"18 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-06-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Photoelectronic Detection and Imaging\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1117/12.901631\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Photoelectronic Detection and Imaging","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1117/12.901631","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Statistical analyses of noise in photon imaging detection system
Under the condition of photon limited, a photoelectric detection system with the capability of photon imaging has to be used when a faint target is needed to be imaged. Therefore, a photon imaging detection system (PIDS) has been constructed. When the system works, however, a part of noise is enhanced by the photon imaging head definitely while the signal is amplified. In this paper, two kinds of mathematical statistics methods are employed to analyze the comprehensive characteristics of noise in PIDS. One is probability distribution curve fitting and the other is Chi-square distribution hypothesis testing method. By applying these two methods, the analysis results of experiment data demonstrate that the comprehensive noise of PIDS subjects to the Poisson distribution, which is consistent with the theoretical analysis conclusion.