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Bayesian Quasar Selection and the Quasar Luminosity Function

Authors: Gordon T. Richards; Coryn A.L. Bailer-Jones;

Bayesian Quasar Selection and the Quasar Luminosity Function

Abstract

I summarize our work on the construction of deep photometric quasar catalogs using a non‐parametric Bayesian classifier based on kernel density estimation. Using only 5‐band optical data from the Sloan Digital Sky Survey (SDSS), we have identified nearly 1,000,000 photometric quasars candidates over 0

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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