55 citations · 98 across the 15 of their papers we have counts for
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astro-ph.IM2022★ 16 cited
TOPz: Photometric redshifts for J-PAS
J. Laur, E. Tempel, A. Tamm +30
The importance of photometric galaxy redshift estimation is rapidly increasing with the development of specialised powerful observational facilities. We develop a new photometric r…
astro-ph.IM2020★ 55 cited
The miniJPAS survey: star-galaxy classification using machine learning
P. O. Baqui, V. Marra, L. Casarini +31
Future astrophysical surveys such as J-PAS will produce very large datasets, which will require the deployment of accurate and efficient Machine Learning (ML) methods. In this work…
astro-ph.IM2018★ 1 cited
Systems engineering applied to ELT instrumentation: The GMACS case
D. M. Faes, A. Souza, C. Froning +14
An important tool for the development of the next generation of extremely large telescopes (ELTs) is a robust Systems Engineering (SE) methodology. GMACS is a first-generation mult…