Title :
Location and identification of radioactive material with the GRETA (Gamma-Ray Experimental Telescope Assembly)
Author :
Wood, Joshua R. ; Legere, Jason S. ; McConnell, Mark L. ; Ryan, James M.
Author_Institution :
Space Sci. Center, Univ. of New Hampshire, Durham, NH, USA
Abstract :
We previously reported Compton imaging measurements of 137Cs and 60Co laboratory sources using the full 15-channel readout of the Gamma-Ray Experimental Telescope Assembly (GRETA). We have since modified the detector geometry to accommodate a wider range of Compton scattering angles and implemented a neural networking method for the location of interaction positions with a 3-cm resolution inside the detector volumes. This paper describes the implementation of the neural networking method and culminates in the imaging of 137Cs, 60Co, and 252Cf sources using this technique.
Keywords :
gamma-ray detection; liquid scintillation detectors; national security; neural nets; nuclear electronics; position sensitive particle detectors; readout electronics; solid scintillation detectors; 137Cs source; 252Cf source; 60Co source; Compton imaging measurements; GRETA; NE213A liquid scintillator; NaI(Tl) crystal; detector geometry; detector volumes; gamma-ray experimental telescope assembly; neural networking method; radioactive material; readout; Arrays; Artificial neural networks; Assembly; Detectors; Image reconstruction; Position measurement; Scattering;
Conference_Titel :
Technologies for Homeland Security (HST), 2010 IEEE International Conference on
Conference_Location :
Waltham, MA
Print_ISBN :
978-1-4244-6047-2
DOI :
10.1109/THS.2010.5654944
