This repository contains the source code and demonstration of Optical Wavelength Guided Self-Supervised Feature Learning For Galaxy Cluster Richness Estimate (project page), which is accepted to NeurISP2020 Workshop on Machine Learning on Physical Science.
We recommended the following dependencies.
- Python 3.7
- PyTorch 1.4
- Coming Soon
If you find this paper or code helpful, please cite this paper:
@inproceedings{liang2020optical,
title={Optical Wavelength Guided Self-Supervised Feature Learning For Galaxy Cluster Richness Estimate},
author={Liang, Gongbo and Su, Yuanyuan and Lin, Sheng-Chieh and Zhang, Yu and Zhang, Yuanyuan and Jacobs, Nathan},
booktitle={Neural Information Processing Systems (NeurIPS) Workshop on Machine Learning and the Physical Sciences},
year={2020}
}