천문학회보 (The Bulletin of The Korean Astronomical Society)
- 제45권1호
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- Pages.49.4-50
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- 2020
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- 1226-2692(pISSN)
Weak-lensing Mass Reconstruction of Galaxy Clusters with Convolutional Neural Network
- Hong, Sungwook E. (Natural Science Research Institute, University of Seoul) ;
- Park, Sangnam (Natural Science Research Institute, University of Seoul) ;
- Jee, M. James (Department of Astronomy, Yonsei University) ;
- Bak, Dongsu (Natural Science Research Institute, University of Seoul) ;
- Cha, Sangjun (Department of Astronomy, Yonsei University)
- 발행 : 2020.10.13
초록
We introduce a novel method for reconstructing the projected matter distributions of galaxy clusters with weak-lensing (WL) data based on convolutional neural network (CNN). We control the noise level of the galaxy shear catalog such that it mimics the typical properties of the existing Subaru/Suprime-Cam WL observations of galaxy clusters. We find that our mass reconstruction based on multi-layered CNN with architectures of alternating convolution and trans-convolution filters significantly outperforms the traditional mass reconstruction methods.
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