This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.

Abstract Details

Activity Number: 352
Type: Contributed
Date/Time: Tuesday, August 3, 2010 : 10:30 AM to 12:20 PM
Sponsor: Section on Physical and Engineering Sciences
Abstract - #307872
Title: Data Mining in Radiation Portal Monitoring
Author(s): Tom Burr Burr*+ and Michael Hamada and Nicolas Hengartner and Kary Myers and Picard Richard
Companies: Los Alamos National Laboratory and Los Alamos National Laboratory and Los Alamos National Laboratory and Los Alamos National Laboratory and Los Alamos National Laboratory
Address: , , NM, 87545,
Keywords: radiation portal monitoring ; pattern recognition ; background suppression ; nonparametric density estimation
Abstract:

Currently-deployed passive gamma and neutron detectors screen for illicit nuclear material. Archived data can help evaluate special nuclear material (SNM) detection probabilities (DP) and to investigate several related issues, including nuisance gamma alarms arising from naturally occurring radiation (NORM).

Nuisance alarms due to NORM limit DPs for threats. Strategies to recognize common NORM such as cat litter or ceramics depend on the sensor energy resolution. This paper illustrates the extent to which different common NORM categories have a signature with very low resolution gamma detectors using nonparametric density estimation for pattern recognition.


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