3 papers
astro-ph.IM2026
Reconstructing Implicit Scientific Knowledge: Evaluating LLM Agents through End-to-End Reproduction of Astronomy
Yuehui Wang, Xinyu Qi, Guirong Xue +4
The integration of large language models (LLMs) into scientific workflows is accelerating, yet their ability to reconstruct the reasoning underlying published research remains unex…
astro-ph.GA2026
Decoding RR Lyrae light curves with deep learning for accurate absolute magnitude estimation
Shunxuan He, Huiwen Wu, Yang Huang +6
RR Lyrae stars are essential standard candles for distance measurements in the Milky Way and nearby galaxies. Traditional estimates rely on the Period--Absolute Magnitude--Metallic…
astro-ph.SR2026
StarCLR: Contrastive Learning Representation for Astronomical Light Curves
Junyao Ding, Xiaodian Chen, Xinyi Gao +7
With the rapid development of time-domain surveys, the availability of massive light curve data offers new opportunities for studying stellar evolution and variable star classifica…