Bayesian photometric redshifts with empirical training sets
-
Altmetric Citations
Description
We combine in a single framework the two complementary benefits of χ2 template fits and empirical training sets used e.g. in neural nets: χ2 is more reliable when its probability density functions (PDFs) are inspected for multiple peaks, while empirical
Collections | ANU Research Publications |
---|---|
Date published: | 2009 |
Type: | Journal article |
URI: | http://hdl.handle.net/1885/71414 |
Source: | Monthly Notices of the Royal Astronomical Society |
DOI: | 10.1111/j.1365-2966.2009.14953.x |
Download
File | Description | Size | Format | Image |
---|---|---|---|---|
01_Wolf_Bayesian_photometric_redshifts_2009.pdf | 2.94 MB | Adobe PDF | Request a copy |
Items in Open Research are protected by copyright, with all rights reserved, unless otherwise indicated.
Updated: 17 November 2022/ Responsible Officer: University Librarian/ Page Contact: Library Systems & Web Coordinator