Re-calibrating Photometric Redshift Probability Distributions Using Feature-space Regression
Published in arXiv, 2021
Dey, B., Newman, J., Andrews, B. H., et al. 2021, arXiv:2110.15209.
Proper calibration of photo-z PDFs is crucial for cosmology, but existing methods cannot correct for systematic biases across feature space. We develop a new method to calibrate PDFs based on location in feature space that produces well-calibrated PDFs for any arbitrary subset of the data.