Different approaches in the strongly interacting matter study
PROVERBS -- PRobabilistic OVERconstrained Boolean Systems: reasoning tools and app...
DATA ANALYSIS IN HIGH ENERGY PHYSICS USING MACHINE LEARNING METHODS
Full text | |
Author(s): |
Lourenco, Odilon
;
Dutra, Mariana
;
Lenzi, Cesar H.
;
Flores, Cesar, V
;
Menezes, Debora P.
Total Authors: 5
|
Document type: | Journal article |
Source: | PHYSICAL REVIEW C; v. 99, n. 4, p. 5-pg., 2019-04-02. |
Abstract | |
We have obtained the Love number and corresponding tidal deformabilities (Lambda) associated with the relativistic mean-field parametrizations shown to be consistent (CRMF) with the nuclear matter, pure neutron matter, symmetry energy, and its derivatives [Dutra et al., Phys. Rev. C 90, 055203 (2014)]. Our results show that CRMF models present very good agreement with the recent data from binary neutron star merger event GW170817. They also confirm the strong correlation between Lambda(1.4) and the radius of canonical stars (R-1.4). When a recent GW170817 constraint on Lambda(1.4) and the corresponding radius R-1.4 is used, the majority of the models tested are shown to satisfy it. (AU) | |
FAPESP's process: | 13/26258-4 - Superdense matter in the universe |
Grantee: | Manuel Máximo Bastos Malheiro de Oliveira |
Support Opportunities: | Research Projects - Thematic Grants |