Reliable Identifications of AGN from the WISE, 2MASS and Rosat all-sky surveys
Rick Edelson, Matthew A. Malkan

TL;DR
The paper introduces the S_IX statistic for identifying AGN candidates using all-sky survey data, resulting in a new, mostly unconfirmed AGN sample that enhances existing catalogs and aids in targeted astrophysical studies.
Contribution
A novel S_IX statistic was developed and applied to all-sky survey data, significantly expanding the catalog of bright AGN and enabling targeted follow-up observations.
Findings
The S_IX statistic predicts AGN with ~95% likelihood.
The W2R sample contains nearly 2,000 new bright AGN.
The method identified 10 new AGN in the Kepler field.
Abstract
We have developed the "S_IX" statistic to identify bright, highly-likely Active Galactic Nucleus (AGN) candidates solely on the basis of WISE, 2MASS and Rosat all-sky survey data. This statistic was optimized with data from the preliminary WISE survey and the SDSS, and tested with Lick 3-m Kast spectroscopy. We find that sources with S_IX < 0 have a <~95% likelihood of being an AGN (defined in this paper as a Seyfert 1, quasar or blazar). This statistic was then applied to the full WISE/2MASS/RASS dataset, including the final WISE data release, to yield the "W2R" sample of 4,316 sources with S_IX < 0. Only 2,209 of these sources are currently in the Veron-Cetty and Veron (VCV) catalog of spectroscopically confirmed AGN, indicating that the W2R sample contains nearly 2,000 new, relatively bright (J <~ 16) AGN. We utilize the W2R sample to quantify biases and incompleteness in the VCV…
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