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Deducing Neutron Star Equation of State from Telescope Spectra with Machine-learning-derived Likelihoods

D Farrell, P Baldi, J Ott, A Ghosh, AW Steiner… - arXiv preprint arXiv …, 2023 - arxiv.org
Astrophysics paper astro-ph.HE Suggest

… In astrophysical contexts such as regression of neutron star parameters where the likelihood is not tractable and analytical inversion is not feasible, simulation-based inference …

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BibTeX

@misc{farrell2024deducing,
title={Deducing Neutron Star Equation of State from Telescope Spectra with Machine-learning-derived Likelihoods},
author={Delaney Farrell and Pierre Baldi and Jordan Ott and Aishik Ghosh and Andrew W. Steiner and Atharva Kavitkar and Lee Lindblom and Daniel Whiteson and Fridolin Weber},
year={2024},
eprint={2305.07442},
archivePrefix={arXiv},
primaryClass={id='astro-ph.HE' full_name='High Energy Astrophysical Phenomena' is_active=True alt_name=None in_archive='astro-ph' is_general=False description='Cosmic ray production, acceleration, propagation, detection. Gamma ray astronomy and bursts, X-rays, charged particles, supernovae and other explosive phenomena, stellar remnants and accretion systems, jets, microquasars, neutron stars, pulsars, black holes'}
}

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