3 papers
astro-ph.IM2026
DCNNAnaCal: Physics-Informed Machine Learning for Accurate and Precise Weak Lensing Shear Estimation
Shurui Lin, Xiangchong Li, Ji Li +3
Traditional weak gravitational lensing shear estimators are carefully calibrated but struggle to fully capture realistic galaxy morphologies, point-spread-function (PSF) effects, b…
astro-ph.CO2026
One latent to fit them all: a unified representation of baryonic feedback on matter distribution
Shurui Lin, Yin Li, Shy Genel +4
Accurate and parsimonious quantification of baryonic feedback on matter distribution is of crucial importance for understanding both cosmology and galaxy formation from observation…
astro-ph.SR2025
Asteroseismology with TESS: Emergence of Dipole Mode Suppression From Subgiants?
Shurui Lin, Tanda Li, Shude Mao +1
Dipole mode suppression is an observed behavior of solar-like oscillations in evolved stars. This study aims to search for depressed dipole modes in giant stars using data from the…