14 citations · 24 across the 6 of their papers we have counts for
6 papers
An Ultra-Fast Image Simulation Technique with Spatially Variable Point Spread Functions
Zeyu Bai, Peng Jia, Jiameng Lv +3
Simulated images are essential in algorithm development and instrument testing for optical telescopes. During real observations, images obtained by optical telescopes are affected…
CSST Strong Lensing Preparation: a Framework for Detecting Strong Lenses in the Multi-color Imaging Survey by the China Survey Space Telescope (CSST)
Xu Li, Ruiqi Sun, Jiameng Lv +29
Strong gravitational lensing is a powerful tool for investigating dark matter and dark energy properties. With the advent of large-scale sky surveys, we can discover strong lensing…
A Data-Driven Approach for Mitigating Dark Current Noise and Bad Pixels in Complementary Metal Oxide Semiconductor Cameras for Space-based Telescopes
Peng Jia, Chao Lv, Yushan Li +3
In recent years, there has been a gradual increase in the performance of Complementary Metal Oxide Semiconductor (CMOS) cameras. These cameras have gained popularity as a viable al…
AI Techniques for Uncovering Resolved Planetary Nebula Candidates from Wide-field VPHAS+ Survey Data
Ruiqi Sun, Yushan Li, Quentin Parker +4
AI and deep learning techniques are beginning to play an increasing role in astronomy as a necessary tool to deal with the data avalanche. Here we describe an application for findi…
Target Detection Framework for Lobster Eye X-Ray Telescopes with Machine Learning Algorithms
Peng Jia, Wenbo Liu, Yuan Liu +1
Lobster eye telescopes are ideal monitors to detect X-ray transients, because they could observe celestial objects over a wide field of view in X-ray band. However, images obtained…
Detection of Strongly Lensed Arcs in Galaxy Clusters with Transformers
Peng Jia, Ruiqi Sun, Nan Li +4
Strong lensing in galaxy clusters probes properties of dense cores of dark matter halos in mass, studies the distant universe at flux levels and spatial resolutions otherwise unava…