Data Fusion for Ubiquitous Nuclear Threat Detection
January 1, 2018Lawrence Livermore National Laboratory Engineering, 2017-18
Liaison(s): Simon Labov, Brandon Seilhan
Advisor(s): David Harris
Students(s): Sarah Wang (TL-F), Yashas Hegde (TL-S), Emily Lane, Arch Robison, Jordan Abrahams (S)
As part of the nuclear terrorism prevention effort at Lawrence Livermore National Laboratory (LLNL), the LLNL Clinic Team is challenged with testing and improving the performance of a smart network of pocket-size radiation sensors. This will be done by 1) using non-threat radiation to monitor the calibration of the sensors, 2) configuring sensors to work together to improve detection sensitivity and confidence, and 3) integrating location information of known radiation sources to reduce false alarm rates. LLNL is operated under Contract DE-AC52-07NA27344.