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...
| Main Authors: | , , , , |
|---|---|
| 格式: | Article |
| 語言: | English |
| 出版: |
IOP Publishing
2023-01-01
|
| 叢編: | The Astrophysical Journal Supplement Series |
| 主題: | |
| 在線閱讀: | https://doi.org/10.3847/1538-4365/ac9d99 |