16 citations · 19 across the 7 of their papers we have counts for
7 papers
LMC-induced Perturbations in the Milky Way Halo II: Bridging Field-level Inference and Summary-level Simulation-Based Inference
Yanjun Sheng, Yuan-Sen Ting, Tomasz Różański +3
The gravitational interaction between the Milky Way (MW) and the Large Magellanic Cloud (LMC) drives the outer halo into dynamical disequilibrium, imprinting the masses and structu…
Solving Inverse Problems of Chaotic Systems with Bidirectional Conditional Flow Matching
Peiyan Hu, Jian Zhang, Jiashu Pan +6
Modeling chaotic systems is crucial yet challenging. Inverse problems in chaotic dynamics, namely inferring initial conditions from final states, remain largely unsolved because of…
FourierFlow: Frequency-aware Flow Matching for Generative Turbulence Modeling
Haixin Wang, Jiashu Pan, Hao Wu +2
Modeling complex fluid systems, especially turbulence governed by partial differential equations (PDEs), remains a fundamental challenge in science and engineering. Recently, diffu…
FALCO: a Foundation model of Astronomical Light Curves for time dOmain astronomy
Xiaoxiong Zuo, Yihan Tao, Yang Huang +13
Time-domain surveys have advanced astronomical research by revealing diverse variable phenomena, from stellar flares to transient events. The scale and complexity of survey data, a…
The Scaling Law in Stellar Light Curves
Jia-Shu Pan, Yuan-Sen Ting, Yang Huang +2
Analyzing time series of fluxes from stars, known as stellar light curves, can reveal valuable information about stellar properties. However, most current methods rely on extractin…
Astroconformer: The Prospects of Analyzing Stellar Light Curves with Transformer-Based Deep Learning Models
Jia-Shu Pan, Yuan-Sen Ting, Jie Yu
Stellar light curves contain valuable information about oscillations and granulation, offering insights into stars' internal structures and evolutionary states. Traditional asteros…
Astroconformer: Inferring Surface Gravity of Stars from Stellar Light Curves with Transformer
Jiashu Pan, Yuan-Sen Ting, Jie Yu
We introduce Astroconformer, a Transformer-based model to analyze stellar light curves from the Kepler mission. We demonstrate that Astrconformer can robustly infer the stellar sur…