91 citations · 581 across the 43 of their papers we have counts for
3 papers · 1 filter
Re-calibrating Photometric Redshift Probability Distributions Using Feature-space Regression
Biprateep Dey, Jeffrey A. Newman, Brett H. Andrews +5
Many astrophysical analyses depend on estimates of redshifts (a proxy for distance) determined from photometric (i.e., imaging) data alone. Inaccurate estimates of photometric reds…
Conditional Density Estimation Tools in Python and R with Applications to Photometric Redshifts and Likelihood-Free Cosmological Inference
Niccolò Dalmasso, Taylor Pospisil, Ann B. Lee +3
It is well known in astronomy that propagating non-Gaussian prediction uncertainty in photometric redshift estimates is key to reducing bias in downstream cosmological analyses. Si…
A Unified Framework for Constructing, Tuning and Assessing Photometric Redshift Density Estimates in a Selection Bias Setting
Peter E. Freeman, Rafael Izbicki, Ann B. Lee
Photometric redshift estimation is an indispensable tool of precision cosmology. One problem that plagues the use of this tool in the era of large-scale sky surveys is that the bri…