2026-09-20T02:59:58Z https://www.ideals.illinois.edu/oai-pmh

oai:www.ideals.illinois.edu:2142/49487 2023-07-11 col_2142_5131 col_2142_14837 com_2142_5130 com_2142_14836 com_2142_234

Sullivan, Clair Julia Meng, Ling Jian Stinnett, Jacob 2014-05-30T16:46:38Z 2014-05-30T16:46:38Z 2014-05 2014-05-30T16:46:38Z 2014-05 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. Item withdrawn by Mark Zulauf (zulauf@illinois.edu) on 2014-04-28T21:30:03Z Item was in collections: University of Illinois Theses & Dissertations (ID: 1) No. of bitstreams: 1 msthesis_all.pdf: 435817 bytes, checksum: 1f049df7782408dfc57d8f28e88eacf1 (MD5) Made available in DSpace on 2014-05-30T16:46:38Z (GMT). No. of bitstreams: 2 Jacob_Stinnett.pdf: 435817 bytes, checksum: 44592aa10082c5b1219cb4c2970c7793 (MD5) license.txt: 4064 bytes, checksum: 780e55a1daa830e43fdce9a4da7e783c (MD5) http://hdl.handle.net/2142/49487 en Copyright 2014 Jacob Stinnett Bayesian isotope identification gamma ray spectroscopy decision algorithm Bayesian algorithms for automated isotope identification text Nuclear, Plasma, & Rad Engr 1973 Nuclear, Plasma, Radiolgc Engr 5183 University of Illinois at Urbana-Champaign Thesis M.S. MS: Nucl, Plasma,Rad Eng-UIUC 10KS5183MS