Bulletin of the American Physical Society
2023 APS March Meeting
Volume 68, Number 3
Las Vegas, Nevada (March 5-10)
Virtual (March 20-22); Time Zone: Pacific Time
Session T00: Poster Session III (1pm-4pm PST)
1:00 PM,
Thursday, March 9, 2023
Room: Exhibit Hall (Forum Ballroom)
Sponsoring
Unit:
APS
Abstract: T00.00297 : Machine Learning for Improvements to Gamma Spectroscopy in Nuclear Fusion Diagnostics*
Presenter:
Kimberley S Lennon
(Sheffield Hallam University)
Authors:
Kimberley S Lennon
(Sheffield Hallam University)
Callum Grove
(UKAEA)
Joseph Neilson
(UKAEA)
Chantal Nobs
(UKAEA)
Lee Packer
(UKAEA)
Robin Smith
(Sheffield Hallam University)
We present the groundwork for a digital Compton suppression algorithm that uses state-of-the-art machine learning techniques to perform Pulse Shape Discrimination. The algorithm identifies key pulse features to differentiate which are generated from photopeaks and Compton scatter events. Compton events are then rejected, reducing the low energy background.
This novel suppression algorithm improves gamma spectroscopy results by lowering detection limits and reducing measurement times. This will have positive implications on any area that uses gamma spectroscopy, including fusion diagnostic methods. It also has the potential to be detector agnostic, which will increase its applications.
*This work has been part-funded by the EPSRC Energy Programme [grant number EP/W006839/1]. ?To obtain further information on the data and models underlying this paper please contact PublicationsManager@ukaea.uk*
Follow Us |
Engage
Become an APS Member |
My APS
Renew Membership |
Information for |
About APSThe American Physical Society (APS) is a non-profit membership organization working to advance the knowledge of physics. |
© 2024 American Physical Society
| All rights reserved | Terms of Use
| Contact Us
Headquarters
1 Physics Ellipse, College Park, MD 20740-3844
(301) 209-3200
Editorial Office
100 Motor Pkwy, Suite 110, Hauppauge, NY 11788
(631) 591-4000
Office of Public Affairs
529 14th St NW, Suite 1050, Washington, D.C. 20045-2001
(202) 662-8700