Catching Super Massive Black Hole Binaries Without a Net

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dc.creatorCornish, Neil J.
dc.creatorPorter, Edward K.
dc.date2006-05-26
dc.date2006-08-09
dc.date.accessioned2026-07-07T10:24:20Z
dc.date.available2026-07-07T10:24:20Z
dc.descriptionThe gravitational wave signals from coalescing Supermassive Black Hole Binaries are prime targets for the Laser Interferometer Space Antenna (LISA). With optimal data processing techniques, the LISA observatory should be able to detect black hole mergers anywhere in the Universe. The challenge is to find ways to dig the signals out of a combination of instrument noise and the large foreground from stellar mass binaries in our own galaxy. The standard procedure of matched filtering against a grid of templates can be computationally prohibitive, especially when the black holes are spinning or the mass ratio is large. Here we develop an alternative approach based on Metropolis-Hastings sampling and simulated annealing that is orders of magnitude cheaper than a grid search. We demonstrate our approach on simulated LISA data streams that contain the signals from binary systems of Schwarzschild Black Holes, embedded in instrument noise and a foreground containing 26 million galactic binaries. The search algorithm is able to accurately recover the 9 parameters that describe the black hole binary without first having to remove any of the bright foreground sources, even when the black hole system has low signal-to-noise.
dc.description4 pages, 3 figures, Refined search algorithm, added low SNR example
dc.identifierhttps://arxiv.org/abs/gr-qc/0605135
dc.identifierhttp://arxiv.org/abs/gr-qc/0605135
dc.identifierPhys.Rev.D75:021301,2007
dc.identifierdoi:10.1103/PhysRevD.75.021301
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/176147
dc.subjectGeneral Relativity and Quantum Cosmology
dc.subjectAstrophysics
dc.titleCatching Super Massive Black Hole Binaries Without a Net
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