Improving Photometric Redshift Estimation for Cosmology with LSST using Bayesian Neural Networks
收藏Zenodo2024-01-19 更新2026-05-26 收录
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https://zenodo.org/doi/10.5281/zenodo.10145347
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资源简介：
Photometric redshift predictions and uncertainties for HSC PDR2 galaxies based on the neural network and Bayesian Neural Network from Jones et al. (2023).
See https://doi.org/10.5281/zenodo.5528827 for the full training dataset.
Object IDs are from the HSC PDR2 data release (Aihara et al. 2019).
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Zenodo创建时间：
2024-01-04
