2017
DOI: 10.1093/mnras/stx3077
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Host galaxy identification for binary black hole mergers with long baseline gravitational wave detectors

Abstract: The detection of three black hole binary coalescence events by Advanced LIGO allows the science benefits of future detectors to be evaluated. In this paper we report the science benefits of one or two 8km arm length detectors based on the doubling of key parameters in an advanced LIGO type detector, combined with realisable enhancements. It is shown that the total detection rate for sources similar to those already detected, would increase to ∼ 10 3 -10 5 per year. Within 0.4Gpc we find that around 10 of these… Show more

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Cited by 10 publications
(9 citation statements)
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References 72 publications
(56 reference statements)
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“…The benefits of building a large network of GW detectors including Australia and China have been widely discussed [32,88,89]. The advantages of multi-detector networks for the localization of GW sources have been studied in a previous work [32] for BBHs with component masses larger than 12 M .…”
Section: Network Of Three and Four Detectorsmentioning
confidence: 99%
“…The benefits of building a large network of GW detectors including Australia and China have been widely discussed [32,88,89]. The advantages of multi-detector networks for the localization of GW sources have been studied in a previous work [32] for BBHs with component masses larger than 12 M .…”
Section: Network Of Three and Four Detectorsmentioning
confidence: 99%
“…For O3 and aLIGO design we assume noise curve with SensMon ranges of 120 Mpc and 173 Mpc respectively; the sources of our noise curves are described in Appendix A. Table 2 outlines the horizon distances (as a benchmark) and following (Howell et al 2018) relative distances 50% and 90% of BNS mergers will be detected. It is interesting to note that although a future configuration such as Voyager has an optimal reach of 2.4 Gpc, the efficiency at that range will be negligible.…”
Section: Bns Detection Efficiencymentioning
confidence: 99%
“…For a sGRB detection efficiency function we assumed Fermi-GBM and used well cited parameters for the sGRB LF [5], folding in the geometric dependence based on our model parameters of a structured jet. For the GW detection efficiency functions we used the framework of [13] for a range of aLIGO sensitivities and proposed upgrades. Table 1 shows the derived BNS detection rates.…”
Section: Joint Gw/sgrb Detection Ratesmentioning
confidence: 99%