12 papers
AnomalyMatch: Discovering Rare Objects of Interest with Semi-supervised and Active Learning
Pablo Gómez, Laslo E. Ruhberg, Maria Teresa Nardone +1
Anomaly detection in large datasets is essential in astronomy and computer vision. However, due to a scarcity of labelled data, it is often infeasible to apply supervised methods t…
High-Redshift Gravitational Lens Discoveries in JWST NIRCam Using AnomalyMatch
Julia Dima, David O'Ryan, Sandor Kruk +2
Context. Strong gravitational lenses provide a unique tool to probe cosmology and astrophysics at high redshift, offering constraints on the mass distribution of background source…
The complex relationships between AGN, bars and bulges
Izzy L. Garland, Henry Best, Lucy F. Fortson +9
Context. Via scaling relations, it is well-known that active galactic nuclei (AGN) and bulges are linked. This link was thought to be driven by mergers, but recent studies show tha…
Strong Bars, Strong Inflow: The Effect of Bar Strength on Gas Inflow
Maelle Magnan, Tobias Geron, Izzy L. Garland +5
Stellar bars are elongated structures in disk galaxies that can torque and funnel gas inward, influencing galaxy evolution. While strong bars are known to induce rapid inflow, the…
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…
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…