8 citations · 8 across the 2 of their papers we have counts for
2 papers
cs.LG2024
Machine learning-driven Anomaly Detection and Forecasting for Euclid Space Telescope Operations
Pablo Gómez, Roland D. Vavrek, Guillermo Buenadicha +3
State-of-the-art space science missions increasingly rely on automation due to spacecraft complexity and the costs of human oversight. The high volume of data, including scientific…
astro-ph.CO2021★ 8 cited
Euclid preparation: I. The Euclid Wide Survey
R. Scaramella, J. Amiaux, Y. Mellier +238
Euclid is an ESA mission designed to constrain the properties of dark energy and gravity via weak gravitational lensing and galaxy clustering. It will carry out a wide area imaging…