A CdZnTeSe gamma spectrometer trained by deep convolutional neural network for radioisotope identification

Sandeep K. Chaudhuri; Joshua W. Kleppinger; Ritwik Nag; Kaushik Roy; Rojina Panta; Forest Agostinelli; Amit Sheth; Utpal N. Roy; Ralph B. James; Krishna C. Mandal

doi:10.1117/12.2596456

1 September 2021 A CdZnTeSe gamma spectrometer trained by deep convolutional neural network for radioisotope identification

Sandeep K. Chaudhuri, Joshua W. Kleppinger, Ritwik Nag, Kaushik Roy, Rojina Panta, Forest Agostinelli, Amit Sheth, Utpal N. Roy, Ralph B. James, Krishna C. Mandal

Author Affiliations +

Proceedings Volume 11838, Hard X-Ray, Gamma-Ray, and Neutron Detector Physics XXIII; 1183806 (2021) https://doi.org/10.1117/12.2596456
Event: SPIE Optical Engineering + Applications, 2021, San Diego, California, United States

Abstract

We report the implementation of a deep convolutional neural network to train a high-resolution room-temperature CdZnTeSe based gamma ray spectrometer for accurate and precise determination of gamma ray energies for radioisotope identification. The prototype learned spectrometer consists of a NI PCI 5122 fast digitizer connected to a pre-amplifier to recognize spectral features in a sequence of data. We used simulated preamplifier pulses that resemble actual data for various gamma photon energies to train a CNN on the equivalent of 90 seconds worth of data and validated it on 10 seconds worth of simulated data.

Conference Presentation

Citation Download Citation

Sandeep K. Chaudhuri, Joshua W. Kleppinger, Ritwik Nag, Kaushik Roy, Rojina Panta, Forest Agostinelli, Amit Sheth, Utpal N. Roy, Ralph B. James, and Krishna C. Mandal "A CdZnTeSe gamma spectrometer trained by deep convolutional neural network for radioisotope identification", Proc. SPIE 11838, Hard X-Ray, Gamma-Ray, and Neutron Detector Physics XXIII, 1183806 (1 September 2021); https://doi.org/10.1117/12.2596456

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available