# Nuclear Science and Techniques

《核技术》(英文版) ISSN 1001-8042 CN 31-1559/TL     2019 Impact factor 1.556

Nuclear Science and Techniques ›› 2017, Vol. 28 ›› Issue (12): 185

• Special Section on the Celebration of Prof. Nauowitz's 80th Birthday •

### Constraints on the skewness coefficient of symmetric nuclear matter within the nonlinear relativistic mean field model

Bao-Jun Cai, Lie-Wen Chen

1. 1 School of Physics and Astronomy and Shanghai Key Laboratory for Particle Physics and Cosmology, Shanghai Jiao Tong University, Shanghai 200240, China
• Contact: Lie-Wen Chen E-mail:lwchen@sjtu.edu.cn
• Supported by:

This work was supported in part by the Major State Basic Research Development Program (973 Program) in China (Nos. 2013CB834405 and 2015CB856904), the National Natural Science Foundation of China (Nos. 11625521, 11275125 and 11135011), the Program for Professor of Special Appointment (Eastern Scholar) at Shanghai Institutions of Higher Learning, Key Laboratory for Particle Physics, Astrophysics and Cosmology, Ministry of Education, China, and the Science and Technology Commission of Shanghai Municipality (No. 11DZ2260700).

Bao-Jun Cai, Lie-Wen Chen. Constraints on the skewness coefficient of symmetric nuclear matter within the nonlinear relativistic mean field model.Nuclear Science and Techniques, 2017, 28(12): 185
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Abstract:

Within the nonlinear relativistic mean field (NLRMF) model, we show that both the pressure of symmetric nuclear matter at supra-saturation densities and the maximum mass of neutron stars are sensitive to the skewness coefficient, J0, of symmetric nuclear matter. Using experimental constraints on the pressure of symmetric nuclear matter at supra-saturation densities from flow data in heavy-ion collisions and the astrophysical observation of a large mass neutron star PSR J0348?0432, with the former favoring a smaller J0 while the latter favors a larger J0, we extract a constraint of -494MeV≤ J0 ≤ 10 MeV based on the NL-RMF model. This constraint is compared with the results obtained in other analyses.