Application of the Probability Event Horizon filter to constrain the local rate density of binary black hole inspirals with Advanced LIGO

Abstract

The temporal evolution of the gravitational wave background signal resulting from stellar-mass binary black hole (BBH) inspirals has a unique statistical signature. We describe the application of a new filter, based on the `probability event horizon' (PEH) concept, that utilizes both the temporal and spatial source distribution to constrain the local rate density, $r_0$, of BBH inspiral events in the nearby Universe. Assuming Advanced LIGO sensitivities and an upper rate of Galactic BBH inspirals of $30{\mathrm{Myr}}^{-1}$, we simulate GW data and apply a fitting procedure to the PEH filtered data. To determine the accuracy of the PEH filter in constraining $r_0$, a comparison is made with a fit to the brightness distribution of events. We apply both methods to a data stream containing a background of Gaussian distributed false alarms. We find that the brightness distribution yields lower standard errors, but is biased by the false alarms. In comparison the PEH method is less prone to errors resulting from false alarms but has a lower resolution as fewer events contribute to the data. Used in combination, the PEH and brightness distribution methods provide an improved estimate of the rate density.

arXiv commentAccepted for publication in MNRAS

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