5 papers
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…
In-Orbit GRB Identification Using LLM-based model for the CXPD CubeSat
Cunshi Wang, Zuke Feng, Difan Yi +12
To validate key technologies for wide field-of-view (FOV) X-ray polarization measurements, the Cosmic X-ray Polarization Detector (CXPD) CubeSat series has been developed as a prot…
SpecCLIP: Aligning and Translating Spectroscopic Measurements for Stars
Xiaosheng Zhao, Yang Huang, Guirong Xue +6
In recent years, large language models (LLMs) have transformed natural language understanding through vast datasets and large-scale parameterization. Inspired by this success, we p…
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 Mini-SiTian Array: A Pathfinder for the SiTian Project
Yang Huang, Jifeng Liu, Hong Wu +5
The Mini-SiTian Array serves as a pathfinder for the SiTian project, which aims to survey the entire sky in bands every 30 minutes, reaching a limiting magnitude of 21. This…