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astro-ph.GA2026
From Observation to Ground Truth: Reconstruction Losses of Galaxy Imaging Under Heteroscedastic Noise
Renhao Ye, Shiyin Shen, Quanfeng Xu
Deep learning is widely used to analyze galaxy images, and the reconstruction loss determines which image features a model prioritizes during training. Mean squared error (MSE) and…
astro-ph.GA2026
From DESI to Euclid: A Generative Bridge to Improve Measurements of Galaxy Structure
Renhao Ye, Shiyin Shen
Ground-based seeing imprints size-dependent biases on galaxy structural parameters, yet the high-resolution space-based imaging needed to improve these measurements currently cover…