Xin Liu

activity

20242026

collaborators

3 papers

astro-ph.IM2026

D $_{4}$ CNN $\times$ AnaCal: 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.GA2025

Dwarf Active Galactic Nuclei from Variability for the Origins of Seeds (DAVOS): Properties of Variability-Selected AGNs in the Dark Energy Survey Deep Fields

Yichen Liu, Colin J. Burke, Diego Miura +4

We study the black hole mass $-$ host galaxy stellar mass relation, $M_{BH} - M_{*}$ , for a sample of 706 $z ≲ 1.5$ and $i ≲ 24$ optically-variable active galac…

astro-ph.HE2024

A Systematic Search for Candidate Supermassive Black Hole Binaries Using Periodic Mid-Infrared Light Curves of Active Galactic Nuclei

Di Luo, Ning Jiang, Xin Liu

Periodic variability in active galactic nuclei (AGNs) is a promising method for studying sub-parsec supermassive black hole binaries (SMBHBs), which are a challenging detection tar…

D4​CNN×AnaCal: Physics-Informed Machine Learning for Accurate and Precise Weak Lensing Shear Estimation

Dwarf Active Galactic Nuclei from Variability for the Origins of Seeds (DAVOS): Properties of Variability-Selected AGNs in the Dark Energy Survey Deep Fields

A Systematic Search for Candidate Supermassive Black Hole Binaries Using Periodic Mid-Infrared Light Curves of Active Galactic Nuclei

D $_{4}$ CNN $\times$ AnaCal: Physics-Informed Machine Learning for Accurate and Precise Weak Lensing Shear Estimation