CSST Strong Lensing Preparation: a Framework for Detecting Strong Lenses in the Multi-color Imaging Survey by the China Survey Space Telescope (CSST)

no code implementations • 2 Apr 2024 • Xu Li, Ruiqi Sun, Jiameng Lv, Peng Jia, Nan Li, Chengliang Wei, Zou Hu, Xinzhong Er, Yun Chen, Zhang Ban, Yuedong Fang, Qi Guo, Dezi Liu, Guoliang Li, Lin Lin, Ming Li, Ran Li, Xiaobo Li, Yu Luo, Xianmin Meng, Jundan Nie, Zhaoxiang Qi, Yisheng Qiu, Li Shao, Hao Tian, Lei Wang, Wei Wang, Jingtian Xian, Youhua Xu, Tianmeng Zhang, Xin Zhang, Zhimin Zhou

To overcome these challenges, we have developed a framework based on a hierarchical visual Transformer with a sliding window technique to search for strong lensing systems within entire images.

Perception of Misalignment States for Sky Survey Telescopes with the Digital Twin and the Deep Neural Networks

no code implementations • 30 Nov 2023 • Miao Zhang, Peng Jia, Zhengyang Li, Wennan Xiang, Jiameng Lv, Rui Sun

To address this, we need a method to obtain misalignment states, aiding in the reconstruction of accurate point spread functions for data processing methods or facilitating adjustments of optical components for improved image quality.

Astronomy

Image Restoration with Point Spread Function Regularization and Active Learning

no code implementations • 31 Oct 2023 • Peng Jia, Jiameng Lv, Runyu Ning, Yu Song, Nan Li, Kaifan Ji, Chenzhou Cui, Shanshan Li

Large-scale astronomical surveys can capture numerous images of celestial objects, including galaxies and nebulae.

Active Learning Image Restoration