21 citations · 42 across the 13 of their papers we have counts for
3 papers · 1 filter
pop-cosmos: Scaleable inference of galaxy properties and redshifts with a data-driven population model
Stephen Thorp, Justin Alsing, Hiranya V. Peiris +5
We present an efficient Bayesian method for estimating individual photometric redshifts and galaxy properties under a pre-trained population model (pop-cosmos) that was calibrated…
pop-cosmos: A comprehensive picture of the galaxy population from COSMOS data
Justin Alsing, Stephen Thorp, Sinan Deger +4
We present pop-cosmos: a comprehensive model characterizing the galaxy population, calibrated to ( selected) galaxies from the Cosmic Evolution Survey (COSMOS) with…
Data-Space Validation of High-Dimensional Models by Comparing Sample Quantiles
Stephen Thorp, Hiranya V. Peiris, Daniel J. Mortlock +3
We present a simple method for assessing the predictive performance of high-dimensional models directly in data space when only samples are available. Our approach is to compare th…