Bayesian refinement of covariant energy density functionals
Abstract
The last five years have seen remarkable progress in our quest to determine the equation of state of neutron rich matter. Here, recent advances across the theoretical, experimental, and observational landscape have been incorporated in a Bayesian framework to refine existing covariant energy density functionals previously calibrated by the properties of finite nuclei. In particular, constraints on the maximum neutron star mass from pulsar timing, on stellar radii from the NICER mission, on tidal deformabilities from the LIGO-Virgo collaboration, and on the dynamics of pure neutron matter as predicted from chiral effective field theories have resulted in significant refinements to the models, particularly to those predicting a stiff symmetry energy. Still, even after these improvements, we find it challenging to reproduce simultaneously the neutron skin thickness of both 208Pb and 48Ca recently reported by the PREX/CREX collaboration.
- Publication Date:
- Research Org.:
- Florida State Univ., Tallahassee, FL (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC), Nuclear Physics (NP)
- OSTI Identifier:
- 1968605
- Grant/Contract Number:
- FG02-92ER40750
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Physical Review. C
- Additional Journal Information:
- Journal Volume: 107; Journal Issue: 4; Journal ID: ISSN 2469-9985
- Publisher:
- American Physical Society (APS)
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 73 NUCLEAR PHYSICS AND RADIATION PHYSICS; Neutron stars; multi-messenger astronomy; density functional theory; equations of state of nuclear matter; nuclear astrophysics; nuclear density functional theory; nuclear matter in neutron stars; Bayesian methods
Citation Formats
Salinas, Marc, and Piekarewicz, Jorge. Bayesian refinement of covariant energy density functionals. United States: N. p., 2023.
Web. doi:10.1103/physrevc.107.045802.
Salinas, Marc, & Piekarewicz, Jorge. Bayesian refinement of covariant energy density functionals. United States. https://doi.org/10.1103/physrevc.107.045802
Salinas, Marc, and Piekarewicz, Jorge. Fri .
"Bayesian refinement of covariant energy density functionals". United States. https://doi.org/10.1103/physrevc.107.045802. https://www.osti.gov/servlets/purl/1968605.
@article{osti_1968605,
title = {Bayesian refinement of covariant energy density functionals},
author = {Salinas, Marc and Piekarewicz, Jorge},
abstractNote = {The last five years have seen remarkable progress in our quest to determine the equation of state of neutron rich matter. Here, recent advances across the theoretical, experimental, and observational landscape have been incorporated in a Bayesian framework to refine existing covariant energy density functionals previously calibrated by the properties of finite nuclei. In particular, constraints on the maximum neutron star mass from pulsar timing, on stellar radii from the NICER mission, on tidal deformabilities from the LIGO-Virgo collaboration, and on the dynamics of pure neutron matter as predicted from chiral effective field theories have resulted in significant refinements to the models, particularly to those predicting a stiff symmetry energy. Still, even after these improvements, we find it challenging to reproduce simultaneously the neutron skin thickness of both 208Pb and 48Ca recently reported by the PREX/CREX collaboration.},
doi = {10.1103/physrevc.107.045802},
journal = {Physical Review. C},
number = 4,
volume = 107,
place = {United States},
year = {Fri Apr 07 00:00:00 EDT 2023},
month = {Fri Apr 07 00:00:00 EDT 2023}
}
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