Uncertainty Quantification of the Low-Density Nuclear Equation of State derived from Chiral Effective Field Theory
Abstract
We constrain neutron star matter at low densities using state-of-the-art chiral effective field theory predictions and Gaussian processes for rigorous uncertainty quantification. A novel machine-learning library for this task is also presented.
Keywords:
Nuclear Physics, Neutron Star, Nuclear Equation of State, Gaussian Process, Data Science
Status
Graduate
Department
Physics & Astronomy
College
College of Arts and Sciences
Campus
Athens
Faculty Mentor
Drischler, Christian
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Uncertainty Quantification of the Low-Density Nuclear Equation of State derived from Chiral Effective Field Theory
We constrain neutron star matter at low densities using state-of-the-art chiral effective field theory predictions and Gaussian processes for rigorous uncertainty quantification. A novel machine-learning library for this task is also presented.