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Inferring Atmospheric Properties of Exoplanets with Flow Matching and Neural Importance Sampling

TD Gebhard, J Wildberger, M Dax… - arXiv preprint arXiv …, 2023 - arxiv.org
Computer Science paper astro-ph.IM Suggest

… Going forward, our analysis suggests that simulation-based inference with likelihood-based importance sampling provides a framework for accurate and efficient AR that …

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BibTeX

@misc{gebhard2023inferring,
title={Inferring Atmospheric Properties of Exoplanets with Flow Matching and Neural Importance Sampling},
author={Timothy D. Gebhard and Jonas Wildberger and Maximilian Dax and Daniel Angerhausen and Sascha P. Quanz and Bernhard Schölkopf},
year={2023},
eprint={2312.08295},
archivePrefix={arXiv},
primaryClass={id='astro-ph.IM' full_name='Instrumentation and Methods for Astrophysics' is_active=True alt_name=None in_archive='astro-ph' is_general=False description='Detector and telescope design, experiment proposals. Laboratory Astrophysics. Methods for data analysis, statistical methods. Software, database design'}
}

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