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Title: Bayesian Exploration of Phenomenological EoS of Neutron/Hybrid Stars with Recent Observations

Abstract

The description of the stellar interior of compact stars remains as a big challenge for the nuclear astrophysics community. The consolidated knowledge is restricted to density regions around the saturation of hadronic matter ρ0=2.8 × 1014 g cm-3, regimes where our nuclear models are successfully applied. As one moves towards higher densities and extreme conditions up to the quark/gluons deconfinement, little can be said about the microphysics of the equation of state (EoS). Here, we employ a Markov Chain Monte Carlo (MCMC) strategy to access the variability at high density regions of polytropic piecewise models for neutron star (NS) EoS or possible hybrid stars, i.e., a NS with a small quark-matter core. With a fixed description of the hadronic matter for low density, below the nuclear saturation density, we explore a variety of models for the high density regimes leading to stellar masses near to 2.5 M, in accordance with the observations of massive pulsars. The models are constrained, including the observation of the merger of neutrons stars from VIRGO-LIGO and with the pulsar observed by NICER. In addition, we also discuss the possibility of the use of a Bayesian power regression model with heteroscedastic error. The set of EoSmore » from the Laser Interferometer Gravitational-Wave Observatory (LIGO) was used as input and treated as the data set for the testing case.« less

Authors:
ORCiD logo [1]; ORCiD logo [2]; ORCiD logo [3]; ORCiD logo [4]
  1. Brookhaven National Lab. (BNL), Upton, NY (United States). National Nuclear Data Center (NNDC)
  2. Texas A & M Univ., Commerce, TX (United States); University of the Andes (Colombia)
  3. Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
  4. Texas A & M Univ., Commerce, TX (United States)
Publication Date:
Research Org.:
Brookhaven National Laboratory (BNL), Upton, NY (United States)
Sponsoring Org.:
USDOE Office of Science (SC), Nuclear Physics (NP)
OSTI Identifier:
1974190
Report Number(s):
BNL-224285-2023-JAAM
Journal ID: ISSN 2571-712X; TRN: US2313944
Grant/Contract Number:  
SC0012704; FG02-08ER41533; AC02-98CH10886
Resource Type:
Accepted Manuscript
Journal Name:
Particles
Additional Journal Information:
Journal Volume: 6; Journal Issue: 1; Journal ID: ISSN 2571-712X
Publisher:
MDPI
Country of Publication:
United States
Language:
English
Subject:
73 NUCLEAR PHYSICS AND RADIATION PHYSICS; Bayesian inference; MCMC; equation of state; neutron star; astrophysics

Citation Formats

Chimanski, Emanuel V., Lobato, Ronaldo V., Goncalves, Andre R., and Bertulani, Carlos A. Bayesian Exploration of Phenomenological EoS of Neutron/Hybrid Stars with Recent Observations. United States: N. p., 2023. Web. doi:10.3390/particles6010011.
Chimanski, Emanuel V., Lobato, Ronaldo V., Goncalves, Andre R., & Bertulani, Carlos A. Bayesian Exploration of Phenomenological EoS of Neutron/Hybrid Stars with Recent Observations. United States. https://doi.org/10.3390/particles6010011
Chimanski, Emanuel V., Lobato, Ronaldo V., Goncalves, Andre R., and Bertulani, Carlos A. Thu . "Bayesian Exploration of Phenomenological EoS of Neutron/Hybrid Stars with Recent Observations". United States. https://doi.org/10.3390/particles6010011. https://www.osti.gov/servlets/purl/1974190.
@article{osti_1974190,
title = {Bayesian Exploration of Phenomenological EoS of Neutron/Hybrid Stars with Recent Observations},
author = {Chimanski, Emanuel V. and Lobato, Ronaldo V. and Goncalves, Andre R. and Bertulani, Carlos A.},
abstractNote = {The description of the stellar interior of compact stars remains as a big challenge for the nuclear astrophysics community. The consolidated knowledge is restricted to density regions around the saturation of hadronic matter ρ0=2.8 × 1014 g cm-3, regimes where our nuclear models are successfully applied. As one moves towards higher densities and extreme conditions up to the quark/gluons deconfinement, little can be said about the microphysics of the equation of state (EoS). Here, we employ a Markov Chain Monte Carlo (MCMC) strategy to access the variability at high density regions of polytropic piecewise models for neutron star (NS) EoS or possible hybrid stars, i.e., a NS with a small quark-matter core. With a fixed description of the hadronic matter for low density, below the nuclear saturation density, we explore a variety of models for the high density regimes leading to stellar masses near to 2.5 M⊙, in accordance with the observations of massive pulsars. The models are constrained, including the observation of the merger of neutrons stars from VIRGO-LIGO and with the pulsar observed by NICER. In addition, we also discuss the possibility of the use of a Bayesian power regression model with heteroscedastic error. The set of EoS from the Laser Interferometer Gravitational-Wave Observatory (LIGO) was used as input and treated as the data set for the testing case.},
doi = {10.3390/particles6010011},
journal = {Particles},
number = 1,
volume = 6,
place = {United States},
year = {Thu Feb 02 00:00:00 EST 2023},
month = {Thu Feb 02 00:00:00 EST 2023}
}

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