Statistical analyses of noise in photon imaging detection system

Yu Huang, Xiaofang Zhang*, Xin Yu

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationInternational Symposium on Photoelectronic Detection and Imaging 2011
Subtitle of host publicationAdvances in Imaging Detectors and Applications
DOIs
Publication statusPublished - 2011
EventInternational Symposium on Photoelectronic Detection and Imaging 2011: Advances in Imaging Detectors and Applications - Beijing, China
Duration: 24 May 201126 May 2011

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume8194
ISSN (Print)0277-786X

Conference

ConferenceInternational Symposium on Photoelectronic Detection and Imaging 2011: Advances in Imaging Detectors and Applications
Country/TerritoryChina
CityBeijing
Period24/05/1126/05/11

Keywords

  • Chi-square hypothesis test
  • Photon imaging
  • Poisson distribution
  • Probability distribution curve fitting

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