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dc.contributor.advisorBose, Sukanta
dc.creatorTalukder, Dipongkar
dc.date.accessioned2013-03-29T17:22:24Z
dc.date.available2013-03-29T17:22:24Z
dc.date.issued2012
dc.identifier.urihttp://hdl.handle.net/2376/4269
dc.descriptionThesis (Ph.D.), Department of Physics and Astronomy, Washington State Universityen_US
dc.description.abstractWe present a framework for the detection of stochastic gravitational-wave (GW) backgrounds, from cosmological and astrophysical sources, using radiometry with a network of gravitational-wave interferometers. The search statistic itself is derived from the cross-correlations of the data across all possible baselines in a detector network, and reveals how much more sensitive a network is than any of its component baselines. We model the neutron star distribution in the Virgo cluster and apply the above framework to search for their stochastic GW signature in LIGO-VIRGO data We also present a template-based multi-detector coherent search for perturbed black hole ringdown signals. Like the past ``coincidence'' ringdown searches in LIGO data, our method incorporates knowledge of the ringdown waveform in constructing the search templates. Additionally, it checks for consistency of signal amplitudes and phases in the different detectors with their different orientations and signal arrival times. We demonstrate the advantages of implementing a coherent search in the ringdown search pipeline.en_US
dc.description.sponsorshipDepartment of Physics, Washington State Universityen_US
dc.languageEnglish
dc.rightsIn copyright
dc.rightsPublicly accessible
dc.rightsopenAccess
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/
dc.rights.urihttp://www.ndltd.org/standards/metadata
dc.rights.urihttp://purl.org/eprint/accessRights/OpenAccess
dc.subjectPhysics
dc.subjectblack hole
dc.subjectgravitational waves
dc.subjectneutron star
dc.subjectradiometer
dc.subjectstochastic
dc.subjectVirgo cluster
dc.titleMULTI-BASELINE SEARCHES FOR STOCHASTIC SOURCES AND BLACK HOLE RINGDOWN SIGNALS IN LIGO-VIRGO DATA
dc.typeElectronic Thesis or Dissertation


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