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

fYear

2010

fDate

8-10 Nov. 2010

Firstpage

400

Lastpage

403

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Technologies for Homeland Security (HST), 2010 IEEE International Conference on

Conference_Location

Waltham, MA

Print_ISBN

978-1-4244-6047-2

Type

conf

DOI

10.1109/THS.2010.5654944

Filename

5654944