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SIDE-real Supernova Ia Dust Extinction with truncated marginal neural ratio estimation applied to real data

K Karchev, M Grayling, BM Boyd, R Trotta… - arXiv preprint arXiv …, 2024 - arxiv.org
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… By utilising truncated marginal neural ratio estimation (TMNRE), a neural network-enabled simulation-based inference technique, we implicitly marginalise over 4000 …

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BibTeX

@misc{karchev2024sidereal,
title={SIDE-real Supernova Ia Dust Extinction with truncated marginal neural ratio estimation applied to real data},
author={Konstantin Karchev and Matthew Grayling and Benjamin M. Boyd and Roberto Trotta and Kaisey S. Mandel and Christoph Weniger},
year={2024},
eprint={2403.07871},
archivePrefix={arXiv},
primaryClass={id='astro-ph.CO' full_name='Cosmology and Nongalactic Astrophysics' is_active=True alt_name=None in_archive='astro-ph' is_general=False description='Phenomenology of early universe, cosmic microwave background, cosmological parameters, primordial element abundances, extragalactic distance scale, large-scale structure of the universe. Groups, superclusters, voids, intergalactic medium. Particle astrophysics dark energy, dark matter, baryogenesis, leptogenesis, inflationary models, reheating, monopoles, WIMPs, cosmic strings, primordial black holes, cosmological gravitational radiation'}
}

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