Bulletin of the American Physical Society
6th Joint Meeting of the APS Division of Nuclear Physics and the Physical Society of Japan
Sunday–Friday, November 26–December 1 2023; Hawaii, the Big Island
Session D06: Minisymposium: Applications of Advanced Statistics and Machine Learning Methods in Nuclear Physics II
9:00 AM–11:45 AM,
Wednesday, November 29, 2023
Hilton Waikoloa Village
Room: Queens 5
Chair: Yue Shi Lai, Lawrence Berkeley National Laboratory
Abstract: D06.00005 : Mind the gaps: Applying Bayesian model mixing to the dense matter equation of state*
10:15 AM–10:30 AM
Presenter:
Alexandra Semposki
(Ohio University)
Authors:
Alexandra Semposki
(Ohio University)
Christian Drischler
(Facility for Rare Isotope Beams)
Richard J Furnstahl
(Ohio State University)
Daniel R Phillips
(Ohio University)
*Supported by the US Department of Energy under contract DE-FG02-93ER-40756, the National Science Foundation CSSI program under award number OAC-2004601 (BAND Collaboration), the National Science Foundation under award number NSF-2209442, and the U.S. Department of Energy, Office of Science, Office of Nuclear Physics, under the FRIB Theory Alliance award DE-SC0013617.
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