26 citations · 35 across the 9 of their papers we have counts for
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astro-ph.IM2025
Towards DM-free search for Fast Radio Bursts with Machine Learning -- I. An implementation on multibeam data
Yao Chen, Rui Luo, Chen Wang +13
Searching for fleeting radio transients like fast radio bursts (FRBs) with wide-field radio telescopes has become a common challenge in data-intensive science. Conventional algorit…
astro-ph.IM2024★ 3 cited
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…