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astro-ph.GA2026

Extending the Little Red Dot population at intermediate redshift with VIPERS

Krzysztof Lisiecki, Krzysztof Hryniewicz, Francesco Pistis +7

Little red dots (LRDs) are a recently identified population of compact, red sources characterised by a distinctive V-shaped UV-to-optical continuum and broad emission lines. Their…

astro-ph.GA2026

Rubin J122659.4+090236: An Extremely Low Surface Brightness Galaxy Candidate Discovered in the Rubin LSST Early Data Preview 2

Dipanjan Mitra, Kanak Saha, Sugata Kaviraj +28

We report the serendipitous discovery of an exceptionally low surface brightness galaxy (LSBG) candidate, Rubin J122659.4+090236, in Rubin Observatory imaging of the interacting NG…

astro-ph.GA2026

Performance of morphological classifiers for galaxy mergers compared to current machine learning methods

Aidan P. Cotter, William J. pearson, Subhrata Dey +3

Aims. Non-parametric morphological statistics can be used for efficient classification of galaxy mergers. This work aims to compare the performance of morphological merger classifi…

astro-ph.GA2026

From DES to KiDS: Domain adaptation for cross-survey detection of low-surface-brightness galaxies

Hareesh Thuruthipilly, Krzysztof Lisiecki, Junais +19

Low-surface-brightness galaxies (LSBGs) are vital for understanding galaxy formation, but their diffuse nature makes them challenging to detect. Upcoming large-scale surveys are ex…

astro-ph.GA2025

statmorph-lsst: Quantifying and correcting morphological biases in galaxy surveys

Elizaveta Sazonova, Cameron R. Morgan, Michael Balogh +16

Quantitative morphology provides a key probe of galaxy evolution across cosmic time and environments. However, these metrics can be biased by changes in imaging quality - resolutio…