73 citations · 102 across the 9 of their papers we have counts for
4 papers · 1 filter
PNet -- A Deep Learning Based Photometry and Astrometry Bayesian Framework
Rui Sun, Peng Jia, Yongyang Sun +3
Time domain astronomy has emerged as a vibrant research field in recent years, focusing on celestial objects that exhibit variable magnitudes or positions. Given the urgency of con…
Smart obervation method with wide field small aperture telescopes for real time transient detection
Peng Jia, Qiang Liu, Yongyang Sun +3
Wide field small aperture telescopes (WFSATs) are commonly used for fast sky survey. Telescope arrays composed by several WFSATs are capable to scan sky several times per night. Hu…
Point Spread Function Estimation for Wide Field Small Aperture Telescopes with Deep Neural Networks and Calibration Data
Peng Jia, Xuebo Wu, Zhengyang Li +4
The point spread function (PSF) reflects states of a telescope and plays an important role in development of data processing methods, such as PSF based astrometry, photometry and i…
Detection and Classification of Astronomical Targets with Deep Neural Networks in Wide Field Small Aperture Telescopes
Peng Jia, Qiang Liu, Yongyang Sun
Wide field small aperture telescopes are widely used for optical transient observations. Detection and classification of astronomical targets in observed images are the most import…