Improving Photometric Redshift Estimation for Cosmology with LSST using Bayesian Neural Networks
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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
