Bayesian photometric redshifts with empirical training sets
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Wolf, Christian
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Blackwell Publishing Ltd
Abstract
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
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Monthly Notices of the Royal Astronomical Society
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Restricted until
2037-12-31
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