Hierarchical Bayesian Inference of Photometric Redshifts with Stellar Population Synthesis Models

Hierarchical Bayesian Inference of Photometric Redshifts with Stellar Population Synthesis Models

We present a Bayesian hierarchical framework to analyze photometric galaxy survey data with stellar population synthesis (SPS) models. Our method couples robust modeling of spectral energy distributions with a population model and a noise model to characterize the statistical properties of the galax...

Full description

Bibliographic Details
Main Authors: Boris Leistedt, Justin Alsing, Hiranya Peiris, Daniel Mortlock, Joel Leja
Format: Article
Language:English
Published: IOP Publishing 2023-01-01
Series:The Astrophysical Journal Supplement Series
Subjects:
Observational cosmology
Large-scale structure of the universe
Redshift surveys
Online Access:https://doi.org/10.3847/1538-4365/ac9d99

Internet

https://doi.org/10.3847/1538-4365/ac9d99

Similar Items