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astro-ph.IM2026
Multi-Method Machine Learning Classification of Astronomical Sources with Rubin Data Previews: a Spectroscopy-Free Approach with DP1 and DP2
Andrés Alejandro Plazas Malagón, Yasna Ordenes-Briceño, Dan S. Taranu +8
We present a multi-method machine-learning study for the binary photometric classification of point-like and extended sources in the Rubin Observatory Data Preview 1 (DP1) and Data…
astro-ph.IM2026
Identifying and Measuring Satellite Streaks in DECam Images
Alexandra Serrano Mendoza, Meredith L. Rawls, Andrés Alejandro Plazas Malagón
The rapid growth of satellite constellations, particularly Starlink, is increasingly affecting ground-based astronomy. In this project, we developed a workflow to detect, identify,…