Bayesian Analysis for Extracting Properties of the Nuclear Equation of State from Observational Data Including Tidal Deformability from GW170817 †
Abstract
:1. Introduction
2. Hybrid EoS
3. Neutron Star Configurations
3.1. Mass and Radius
3.2. Tidal Deformability
4. Bayesian Inference for the EoS Models
4.1. Vector of Parameters
4.2. Likelihood of a Model for the – Constraint from GW170817
4.3. Likelihood of a Model for the Mass Constraint
4.4. Posterior Distribution
5. Results
6. Conclusions
Author Contributions
Funding
Acknowledgments
Conflicts of Interest
References
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Ayriyan, A.; Alvarez-Castillo, D.; Blaschke, D.; Grigorian, H. Bayesian Analysis for Extracting Properties of the Nuclear Equation of State from Observational Data Including Tidal Deformability from GW170817. Universe 2019, 5, 61. https://doi.org/10.3390/universe5020061
Ayriyan A, Alvarez-Castillo D, Blaschke D, Grigorian H. Bayesian Analysis for Extracting Properties of the Nuclear Equation of State from Observational Data Including Tidal Deformability from GW170817. Universe. 2019; 5(2):61. https://doi.org/10.3390/universe5020061
Chicago/Turabian StyleAyriyan, Alexander, David Alvarez-Castillo, David Blaschke, and Hovik Grigorian. 2019. "Bayesian Analysis for Extracting Properties of the Nuclear Equation of State from Observational Data Including Tidal Deformability from GW170817" Universe 5, no. 2: 61. https://doi.org/10.3390/universe5020061
APA StyleAyriyan, A., Alvarez-Castillo, D., Blaschke, D., & Grigorian, H. (2019). Bayesian Analysis for Extracting Properties of the Nuclear Equation of State from Observational Data Including Tidal Deformability from GW170817. Universe, 5(2), 61. https://doi.org/10.3390/universe5020061