2 citations · 3 across the 9 of their papers we have counts for
9 papers
Slay the Shear: A Unified Statistical Framework for Weak Gravitational Lensing Shear Estimation
Shurui Lin, Xiangchong Li, Xin Liu
Weak gravitational lensing shear measurements are fundamentally limited by shape noise arising from the intrinsic diversity of galaxy morphologies. Upcoming surveys such as Rubin/L…
DeepDISC-Euclid: Source Classification and Photometric Redshifts in Euclid Deep Field North With a Pixel-Level Deep Learning Approach
Yuanzhe Jiang, Yue Shen, Grant Merz +8
The first Euclid Quick Data Release (Q1) provides extensive imaging and spectroscopic data for hundreds of millions of photometric objects across several deep fields. Accurate clas…
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…
CFHT MegaCam Two Deep Fields Imaging Survey (2DFIS) I: Overview
Binyang Liu, Wentao Luo, Martin Kilbinger +14
We present the Two Deep Fields Imaging Survey (2DFIS), a wide-field imaging program conducted with the Canada-France-Hawaii Telescope (CFHT) targeting two astrophysically distinct…
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…
Stochastic lensing of stars by ultralight dark matter halos
Andrew Eberhardt, Elisa Ferreira, Wentao Luo +2
Ultralight dark matter is an interesting dark matter candidate describing the lightest end of the mass parameter space. This model produces an oscillating granular pattern in halo…
Static Microlensing: Concept, Method and Candidates
Qi Guo, Leyao Wei, Wentao Luo +6
We propose a novel microlensing event search method that differs from either the traditional time domain method, astrometric microlensing, or the parallax microlensing method. Our…
Introducing the DREAMS Project: DaRk mattEr and Astrophysics with Machine learning and Simulations
Jonah C. Rose, Paul Torrey, Francisco Villaescusa-Navarro +27
We introduce the DREAMS project, an innovative approach to understanding the astrophysical implications of alternative dark matter models and their effects on galaxy formation and…
Can we constrain warm dark matter masses with individual galaxies?
Shurui Lin, Francisco Villaescusa-Navarro, Jonah Rose +9
We study the impact of warm dark matter mass on the internal properties of individual galaxies using a large suite of 1,024 state-of-the-art cosmological hydrodynamic simulations f…