4 papers
Generalization from Low- to Moderate-Resolution Spectra with Neural Networks for Stellar Parameter Estimation: A Case Study with DESI
Xiaosheng Zhao, Yuan-Sen Ting, Rosemary F. G. Wyse +5
Cross-survey generalization is a critical challenge in stellar spectral analysis, particularly in cases such as transferring from low- to moderate-resolution surveys. We investigat…
Contrastive Heliophysical Image Pretraining for Solar Dynamics Observatory Records
Shiyu Shen, Zhe Gao, Taifeng Chai +2
Deep learning has revolutionized solar image analysis, yet most approaches train task-specific encoders from scratch or rely on natural-image pretraining that ignores the unique ch…
Finetuning Stellar Spectra Foundation Models with LoRA
Xiaosheng Zhao, Yuan-Sen Ting, Alexander S. Szalay +1
Foundation models are beginning to impact stellar spectroscopy, where spectra encode rich physical information in a structured, language-like form. A key challenge is adapting thes…
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…