Practical galaxy morphology tools from deep supervised representation learning

Autor: Mike Walmsley, Anna M M Scaife, Chris Lintott, Michelle Lochner, Verlon Etsebeth, Tobias Géron, Hugh Dickinson, Lucy Fortson, Sandor Kruk, Karen L Masters, Kameswara Bharadwaj Mantha, Brooke D Simmons

Publikováno v: Walmsley, M, Scaife, A M M, Lintott, C J, Lochner, M, Etsebeth, V, Géron, T, Dickinson, H, Fortson, L, Kruk, S, Masters, K L, Mantha, K B & Simmons, B D 2022, ' Practical galaxy morphology tools from deep supervised representation learning ', Monthly Notices of the Royal Astronomical Society, vol. 513, no. 2, pp. 1581-1599 . https://doi.org/10.1093/mnras/stac525

Astronomers have typically set out to solve supervised machine learning problems by creating their own representations from scratch. We show that deep learning models trained to answer every Galaxy Zoo DECaLS question learn meaningful semantic repres

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::70b310338d206eb57ff81325f592a38b
https://research.manchester.ac.uk/en/publications/1f1e471b-bb36-4204-abf1-d08c8f8685c9