2 papers
astro-ph.IM2020
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
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…