22 citations
- Institute of Astrophysics and Space SciencesPT3 papers
- Universidade do PortoPT2 papers
- University of LisbonPT2 papers
- University of MinhoPT2 papers
- Aarhus UniversityDK1 paper
- Aix-Marseille UniversitéFR1 paper
- Arcetri Astrophysical ObservatoryIT1 paper
- Astronomical Observatory of CapodimonteIT1 paper
- Astronomical Observatory of RomeIT1 paper
- Astrophysique, Instrumentation et ModélisationFR1 paper
- Brera Astronomical ObservatoryIT1 paper
- California Institute of TechnologyUS1 paper
3 papers
astro-ph.GA2022★ 11 cited
Improving machine learning-derived photometric redshifts and physical property estimates using unlabelled observations
A. Humphrey, P. A. C. Cunha, A. Paulino-Afonso +5
In the era of huge astronomical surveys, machine learning offers promising solutions for the efficient estimation of galaxy properties. The traditional, `supervised' paradigm for t…
astro-ph.GA2022★ 1 cited
Optimized Spectral Energy Distribution for Seyfert Galaxies
Luc Binette, Yair Krongold, Sinhue A. R. Haro-Corzo +2
The temperature predicted by photoionization models for the Narrow Line Region of Seyfert 2 galaxies is lower than the value inferred from the observed [O III] λ4363A/λ5007A line r…
astro-ph.IM2022★ 22 cited
Euclid preparation: XXII. Selection of Quiescent Galaxies from Mock Photometry using Machine Learning
Euclid Collaboration, A. Humphrey, L. Bisigello +206
The Euclid Space Telescope will provide deep imaging at optical and near-infrared wavelengths, along with slitless near-infrared spectroscopy, across ~15,000 sq deg of the sky. Euc…