2 papers
astro-ph.GA2025
Total and dark mass from observations of galaxy centers with Machine Learning
Sirui Wu, Nicola R. Napolitano, Crescenzo Tortora +4
The galaxy total mass inside the effective radius encode important information on the dark matter and galaxy evolution model. Total "central" masses can be inferred via galaxy dyna…
astro-ph.IM2024
CLAP. I. Resolving miscalibration for deep learning-based galaxy photometric redshift estimation
Qiufan Lin, Hengxin Ruan, Dominique Fouchez +6
Obtaining well-calibrated photometric redshift probability densities for galaxies without a spectroscopic measurement remains a challenge. Deep learning discriminative models, typi…