4 papers
Benchmarking Machine Learning Emulators of Stellar Evolution for Precision Asteroseismology
Naomi Gluck, Earl P. Bellinger, Yan Liang +5
Fast and accurate stellar evolution emulators---surrogate models that approximate expensive simulation outputs with machine learning (ML)---are powerful tools for modern stellar ch…
AESTRA II: Generative Spectral Modeling of the Sun as a Star for Precise Radial Velocities
Yan Liang, Joshua N. Winn, Peter Melchior +2
The detection of Earth analogs with extreme-precision radial velocities (EPRVs) is limited by spectral variability from stellar activity, telluric absorption, and instrumental syst…
The Impact of Orbital Anisotropy Assumptions in Lensing-Dynamics Modeling
Yan Liang, Dandan Xu, Anowar J. Shajib +2
We investigate potential systematic biases introduced by assumptions regarding stellar orbital anisotropy in joint lensing-dynamics modeling. Our study employs the massive early-ty…
Modeling biases from constant stellar mass-to-light ratio assumption in galaxy dynamics and strong lensing
Yan Liang, Dandan Xu, Dominique Sluse +2
A constant stellar mass-to-light ratio has been widely-used in studies of galaxy dynamics and strong lensing, which aim at disentangling the mass distributions of dark…