Photometric Redshift Prediction

Conditional Density Estimation Tools in Python and R with Applications to Photometric Redshifts and Likelihood-Free Cosmological Inference
N. Dalmasso, T. Pospisil, A. B. Lee, Rafael Izbicki, P. E. Freeman, A. I. Malz
January, 2020 Astronomy and Computing
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Evaluation of probabilistic photometric redshift estimation approaches for The Rubin Observatory Legacy Survey of Space and Time (LSST)
S. Schmidt, A. Malz, et al., Rafael Izbicki
January, 2020 Monthly Notices of the Royal Astronomical Society
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A unified framework for constructing, tuning and assessing photometric redshift density estimates in a selection bias setting
Photometric redshift estimation is an indispensable tool of precision cosmology. One problem that plagues the use of this tool in the …
P.E. Freeman, Rafael Izbicki, A.B. Lee
October, 2017 Monthly Notices of the Royal Astronomical Society
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