5 papers
SwinYNet: A Transformer-based Multi-Task Model for Accurate and Efficient FRB Search
Yunchuan Chen, Shulei Ni, Chan Li +11
In this study, we present a transformer-based multi-task model for Fast Radio Burst (FRB) detection, signal segmentation, and parameter estimation directly from time-frequency data…
Spectuner-D1: Spectral Line Fitting of Interstellar Molecules Using Deep Reinforcement Learning
Yisheng Qiu, Tianwei Zhang, Tie Liu +6
Spectral lines from interstellar molecules provide crucial insights into the physical and chemical conditions of the interstellar medium. Traditional spectral line analysis relies…
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…
Ultrahigh-Energy Gamma-ray Emission Associated with Black Hole-Jet Systems
The LHAASO Collaboration, Zhen Cao, Felix Aharonian +315
Black holes (BH), one of the most intriguing objects in the universe, can manifest themselves through electromagnetic radiation initiated by the accretion flow. Some stellar-mass B…
Application of Physics-Informed Neural Networks in Removing Telescope Beam Effects
Shulei Ni, Yisheng Qiu, Yunchuan Chen +5
This study introduces {\tt{PI-AstroDeconv}}, a physics-informed semi-supervised learning method specifically designed for removing beam effects in astronomical telescope observatio…