
Tracing the Faint Universe: Low-Surface-Brightness Galaxies in Wide-Field Surveys
Low-surface-brightness galaxies (LSBGs), generally defined as galaxies fainter than the night sky, are crucial for advancing our understanding of galaxy formation and evolution. Surveys such as Legacy Survey of Space and Time (LSST) and Euclid are expected to detect more than 200,000 LSBGs. However, their identification remains challenging due to contamination in the low-surface-brightness regime. To address this, we have developed a deep learning framework for LSBG detection across multiple surveys using transfer learning. Applying this method to Kilo degree survey (KiDS), we identified ~20,000 LSBGs and derived their structural and photometric properties. To further test its adaptability, we applied it to deep HSC imaging of eight clusters, including Coma and Hydra, reaching depths comparable to the LSST 10-year survey. This yielded over 2,500 ultra-diffuse galaxy (UDG) candidates. Our framework offers a scalable solution for LSBG detection and paves the way for large-scale studies with LSST and Euclid.
The talk will take place both in person at Room 13 (Ground floor) of Facultad de CC. Físicas (UCM) and online (Zoom and Youtube live).
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Armando Gil de Paz
Departamento de Física de la Tierra y Astrofísica & Instituto de Física de Partículas y del Cosmos
Facultad Ciencias Físicas
Universidad Complutense de Madrid
Plaza Ciencias, 1, E-28040 Madrid, Spain
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