3 papers
astro-ph.IM2025
Cutana: A High-Performance Tool for Astronomical Image Cutout Generation at Petabyte Scale
Pablo Gómez, Laslo Erik Ruhberg, Kristin Anett Remmelgas +1
The Euclid Quick Data Release 1 (Q1) encompasses 30 million sources across 63.1 square degrees, marking the beginning of petabyte-scale data delivery through Data Release 1 (DR1) a…
cs.CV2025
MCTED: A Machine-Learning-Ready Dataset for Digital Elevation Model Generation From Mars Imagery
Rafał Osadnik, Pablo Gómez, Eleni Bohacek +1
This work presents a new dataset for the Martian digital elevation model prediction task, ready for machine learning applications called MCTED. The dataset has been generated using…
astro-ph.IM2025
Identifying Astrophysical Anomalies in 99.6 Million Cutouts from the Hubble Legacy Archive Using AnomalyMatch
David O'Ryan, Pablo Gómez
Astronomical archives contain vast quantities of unexplored data that potentially harbour rare and scientifically valuable cosmic phenomena. We leverage new semi-supervised methods…