Tests of Catastrophic Outlier Prediction in Empirical Photometric Redshift Estimation with Redshift Probability Distributions
Author:
Publisher
IOP Publishing
Subject
Space and Planetary Science,Astronomy and Astrophysics
Link
https://iopscience.iop.org/article/10.1088/1538-3873/ab54ed/pdf
Reference39 articles.
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5. Robust Machine Learning Applied to Astronomical Data Sets. III. Probabilistic Photometric Redshifts for Galaxies and Quasars in the SDSS andGALEX
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3. Improving Photometric Redshift Estimation for Cosmology with LSST Using Bayesian Neural Networks;The Astrophysical Journal;2024-03-26
4. Inferring the Redshift of More than 150 GRBs with a Machine-learning Ensemble Model;The Astrophysical Journal Supplement Series;2024-02-26
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