Towards understanding astrophysical effects of nuclear symmetry energy
Abstract
Determining the Equation of State (EOS) of dense neutron-rich nuclear matter is a shared goal of both nuclear physics and astrophysics. Except possible phase transitions, the density dependence of nuclear symmetry \esym is the most uncertain part of the EOS of neutron-rich nucleonic matter especially at supra-saturation densities. Much progresses have been made in recent years in predicting the symmetry energy and understanding why it is still very uncertain using various microscopic nuclear many-body theories and phenomenological models. Simultaneously, significant progresses have also been made in probing the symmetry energy in both terrestrial nuclear laboratories and astrophysical observatories. In light of the GW170817 event as well as ongoing or planned nuclear experiments and astrophysical observations probing the EOS of dense neutron-rich matter, we review recent progresses and identify new challenges to the best knowledge we have on several selected topics critical for understanding astrophysical effects of the nuclear symmetry energy.
- Authors:
-
- Texas A & M Univ., Commerce, TX (United States)
- Harvard Univ., Cambridge, MA (United States)
- South China Univ. of Technology, Guangzhou (China)
- Shandong Univ., Weihai (China)
- Publication Date:
- Research Org.:
- Texas A & M Univ., Commerce, TX (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC), Nuclear Physics (NP); China Postdoctoral Science Foundation; National Natural Science Foundation of China (NSFC)
- OSTI Identifier:
- 1658243
- Alternate Identifier(s):
- OSTI ID: 1837909
- Grant/Contract Number:
- SC0013702; SC0009971; 2019M652358; 11275073; 11675226; 11722546
- Resource Type:
- Accepted Manuscript
- Journal Name:
- European Physical Journal. A
- Additional Journal Information:
- Journal Volume: 55; Journal Issue: 7; Journal ID: ISSN 1434-6001
- Publisher:
- Springer
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 79 ASTRONOMY AND ASTROPHYSICS
Citation Formats
Li, Bao-An, Krastev, Plamen G., Wen, De-Hua, and Zhang, Nai-Bo. Towards understanding astrophysical effects of nuclear symmetry energy. United States: N. p., 2019.
Web. doi:10.1140/epja/i2019-12780-8.
Li, Bao-An, Krastev, Plamen G., Wen, De-Hua, & Zhang, Nai-Bo. Towards understanding astrophysical effects of nuclear symmetry energy. United States. https://doi.org/10.1140/epja/i2019-12780-8
Li, Bao-An, Krastev, Plamen G., Wen, De-Hua, and Zhang, Nai-Bo. Thu .
"Towards understanding astrophysical effects of nuclear symmetry energy". United States. https://doi.org/10.1140/epja/i2019-12780-8. https://www.osti.gov/servlets/purl/1658243.
@article{osti_1658243,
title = {Towards understanding astrophysical effects of nuclear symmetry energy},
author = {Li, Bao-An and Krastev, Plamen G. and Wen, De-Hua and Zhang, Nai-Bo},
abstractNote = {Determining the Equation of State (EOS) of dense neutron-rich nuclear matter is a shared goal of both nuclear physics and astrophysics. Except possible phase transitions, the density dependence of nuclear symmetry \esym is the most uncertain part of the EOS of neutron-rich nucleonic matter especially at supra-saturation densities. Much progresses have been made in recent years in predicting the symmetry energy and understanding why it is still very uncertain using various microscopic nuclear many-body theories and phenomenological models. Simultaneously, significant progresses have also been made in probing the symmetry energy in both terrestrial nuclear laboratories and astrophysical observatories. In light of the GW170817 event as well as ongoing or planned nuclear experiments and astrophysical observations probing the EOS of dense neutron-rich matter, we review recent progresses and identify new challenges to the best knowledge we have on several selected topics critical for understanding astrophysical effects of the nuclear symmetry energy.},
doi = {10.1140/epja/i2019-12780-8},
journal = {European Physical Journal. A},
number = 7,
volume = 55,
place = {United States},
year = {2019},
month = {7}
}
Web of Science
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