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Detecting Quasars by Their Variability

  • Kasper B. Schmidt (a1), Hans-Walter Rix (a1), Sebastian Jester (a1), Phil Marshall (a2), Gregory Dobler (a3) and Joseph F. Hennawi (a1)...

Extract

We demonstrate that quantifying the intrinsic variability of quasars by fitting individual structure function data pairs with a 2-parameter power law model separates quasars from contaminating variable and non-variable point sources with a completeness of 93% and a purity of 99%. This approach can be used to select quasar samples in surveys like that being performed by Pan-STARRS1, where the usual color selection of quasars is not possible due to a filter system that is too red.

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References

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Richards, G. T., et al. 2002, AJ, 123, 2945
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Detecting Quasars by Their Variability

  • Kasper B. Schmidt (a1), Hans-Walter Rix (a1), Sebastian Jester (a1), Phil Marshall (a2), Gregory Dobler (a3) and Joseph F. Hennawi (a1)...

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