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