Bayesian algorithms for automated isotope identification

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.

Name thesis:degree_name

M.S.

Level thesis:degree_level

Thesis

Discipline thesis:degree_discipline

Nuclear, Plasma, Radiolgc Engr

Grantor

University of Illinois at Urbana-Champaign

Year dc:date

2014

Author dc:creator

• Stinnett, Jacob

Contributors dc:contributor

• Sullivan, Clair Julia
• Meng, Ling Jian

• Bayesian
• isotope identification
• gamma ray spectroscopy
• decision algorithm

Statement dc:rights

• Copyright 2014 Jacob Stinnett

Language dc:language

en

Handle dc:identifier

http://hdl.handle.net/2142/49487

OAI identifier oai:identifier

oai:www.ideals.illinois.edu:2142/49487