Bayesian algorithms for automated isotope identification

Bayesian;isotope identification;gamma ray spectroscopy;decision algorithm

Stinnett, Jacob ; Meng, Ling Jian ; Sullivan ; Clair Julia

关键词: Bayesian;    isotope identification;    gamma ray spectroscopy;    decision algorithm;   

Others  :  https://www.ideals.illinois.edu/bitstream/handle/2142/49487/Jacob_Stinnett.pdf?sequence=1&isAllowed=y

美国|英语

来源: The Illinois Digital Environment for Access to Learning and Scholarship

【 摘 要 】

Handheld radio-isotope identifiers (RIIDs) are widely used in the United States for nuclear security, but these detectors generally have poor performance in isotope identification.While much research is being conducted on alternative detector materials, there is much evidence that the primary problem with these automated identifiers is with the algorithms used for making identifications.We propose a new algorithm using Bayesian statistics that uses peak positions and areas to identify the source while allowing for calibration drift and shielding.