9 citations · 18 across the 6 of their papers we have counts for
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astro-ph.IM2024★ 4 cited
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…
astro-ph.GA2024★ 1 cited
The multi-component fitting to the star formation histories in the TNG simulation
Yang Wang, Chengxing Dong, Hengxin Ruan +3
The star formation history (SFH) is a key issue in the evolution of galaxies. In this work, we developed a model based on a Gaussian and gamma function mixture to fit SFHs with var…