3 papers
astro-ph.IM2026
CSST-PSFNet: A Point Spread Function Reconstruction Model for the CSST Based on Deep Learning
Peipei Wang, Peng Wei, Chao Liu +3
This paper presents CSST-PSFNet, a deep learning method for high-fidelity point spread function (PSF) reconstruction developed for the Chinese Space Station Survey Telescope (CSST)…
eess.IV2024
VisRec: A Semi-Supervised Approach to Radio Interferometric Data Reconstruction
Ruoqi Wang, Haitao Wang, Qiong Luo +2
Radio telescopes produce visibility data about celestial objects, but these data are sparse and noisy. As a result, images created on raw visibility data are of low quality. Recent…
astro-ph.IM2023
PolarRec: Radio Interferometric Data Reconstruction with Polar Coordinate Representation
Ruoqi Wang, Zhuoyang Chen, Jiayi Zhu +2
In radio astronomy, visibility data, which are measurements of wave signals from radio telescopes, are transformed into images for observation of distant celestial objects. However…