3 papers
astro-ph.SR2026
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…
astro-ph.GA2025
Machine Learning Techniques to Distinguish Giant Stars from Dwarf Stars Using Only Photometry -- Pushing Redwards
Keyi Ding, Carrie Filion, Rosemary F. G. Wyse +6
We present our photometric method, which combines Subaru/HSC , g, and i band filters to distinguish giant stars in Local Group galaxies from Milky Way dwarf contamination. T…
astro-ph.IM2025
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…