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Machines learn to infer stellar parameters just by looking at a large number of spectra

Nima Sedaghat Martino Romaniello Jonathan Carrick François-Xavier Pineau 1
1 ObAS - Observatoire astronomique de Strasbourg
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https://hal.archives-ouvertes.fr/hal-03176264
Contributor : Olivier Hauss Connect in order to contact the contributor
Submitted on : Monday, March 22, 2021 - 11:35:21 AM
Last modification on : Friday, April 1, 2022 - 3:45:25 AM

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Nima Sedaghat, Martino Romaniello, Jonathan Carrick, François-Xavier Pineau. Machines learn to infer stellar parameters just by looking at a large number of spectra. Monthly Notices of the Royal Astronomical Society, Oxford University Press (OUP): Policy P - Oxford Open Option A, 2021, 501 (4), pp.6026-6041. ⟨10.1093/mnras/staa3540⟩. ⟨hal-03176264⟩

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