ASCL Code Record
[ascl:2407.004]
Forklens: Deep learning weak lensing shear
Zhang, Zekang; Shan, Huanyuan; Li, Nan; Wei, Chengliang; Yao, Ji; Ban, Zhang; Fang, Yuedong; Guo, Qi; Liu, Dezi; Li, Guoliang; Lin, Lin; Li, Ming; Li, Ran; Li, Xiaobo; Luo, Yu; Meng, Xianmin; Nie, Jundan; Qi, Zhaoxiang; Qiu, Yisheng; Shao, Li; Tian, Hao; Wang, Lei; Wang, Wei; Xian, Jingtian; Xu, Youhua; Zhang, Tianmeng; Zhang, Xin; Zhou, Zhimin
Forklens measures weak gravitational lensing signal using a deep-learning methoe. It measures galaxy shapes (shear) and corrects the smearing of the point spread function (PSF, an effect from either/both the atmosphere and optical instrument). It contains a custom CNN architecture with two input branches, fed with the observed galaxy image and PSF image, and predicts several features of the galaxy, including shape, magnitude, and size. Simulation in the code is built directly upon GalSim (ascl:1402.009).
- Code site:
- https://github.com/zhangzzk/forklens
- Described in:
- https://ui.adsabs.harvard.edu/abs/2024A%26A...683A.209Z
- Bibcode:
- 2024ascl.soft07004Z
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