COSMOS2020: Manifold learning to estimate physical parameters in large galaxy surveys

Davidzon, I.; Jegatheesan, K.; Ilbert, O.; de la Torre, S.; Leslie, S.K.; Laigle, C.; Hemmati, S.; Masters, D.C.; Blanquez-Sese, D.; Kauffmann, O.B.; Magdis, G.E.; Małek, K.; McCracken, H.J.; Mobasher, B.; Moneti, A.; Sanders, D.B.; Shuntov, M.; Toft, S.; Weaver, J.R.

doi:10.1051/0004-6361/202243249

COSMOS2020: Manifold learning to estimate physical parameters in large galaxy surveys

Author(s):: Davidzon, I.; Jegatheesan, K.; Ilbert, O.; de la Torre, S.; Leslie, S.K. (0000-0002-4826-8642); Laigle, C.; Hemmati, S.; Masters, D.C.; Blanquez-Sese, D.; Kauffmann, O.B.; Magdis, G.E.; Małek, K.; McCracken, H.J.; Mobasher, B.; Moneti, A.; Sanders, D.B.; Shuntov, M.; Toft, S.; Weaver, J.R.

Published: 2022
Publication type: Article / Letter to editor

Galaxies: Fundamental ParametersGalaxies: Star FormationGalaxies: Stellar ContentMethods: ObservationalAstronomical Databases: MiscellaneousAstrophysics - Astrophysics of GalaxiesAstrophysics - Instrumentation and Methods for Astrophysics

Date issued: 2022
Language: English
Is part of: Astronomy & Astrophysics (2022), A34
hdl: 1887/3561782
doi: 10.1051/0004-6361/202243249
URL: https://ui.adsabs.harvard.edu/abs/2022A&A...665A..34D

COSMOS2020: Manifold learning to estimate physical parameters in large galaxy surveys

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