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Bayesian photometric redshifts with empirical training sets

Wolf, Christian

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

CollectionsANU 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

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