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Parameter estimation for compact binary coalescence signals with the first generation gravitational-wave detector network

Parameter estimation for compact binary coalescence signals with the first generation gravitational-wave detector network
Parameter estimation for compact binary coalescence signals with the first generation gravitational-wave detector network
Compact binary systems with neutron stars or black holes are one of the most promising sources for ground-based gravitational-wave detectors. Gravitational radiation encodes rich information about source physics; thus parameter estimation and model selection are crucial analysis steps for any detection candidate events. Detailed models of the anticipated waveforms enable inference on several parameters, such as component masses, spins, sky location and distance, that are essential for new astrophysical studies of these sources. However, accurate measurements of these parameters and discrimination of models describing the underlying physics are complicated by artifacts in the data, uncertainties in the waveform models and in the calibration of the detectors. Here we report such measurements on a selection of simulated signals added either in hardware or software to the data collected by the two LIGO instruments and the Virgo detector during their most recent joint science run, including a “blind injection” where the signal was not initially revealed to the collaboration. We exemplify the ability to extract information about the source physics on signals that cover the neutron-star and black-hole binary parameter space over the component mass range 1?M?–25?M? and the full range of spin parameters. The cases reported in this study provide a snapshot of the status of parameter estimation in preparation for the operation of advanced detectors.
1550-7998
1-24
Aasi, J.
a1703202-cb8f-41a5-bfcf-57f149364535
Abadie, J.
be3c8f91-ff50-45f2-9929-fe2a9b7940a8
Abbott, B.P.
20b32f53-5355-40eb-9d69-91c95d56e693
Jones, D.I.
b8f3e32c-d537-445a-a1e4-7436f472e160
LIGO-Virgo Scientific Collaboration
Aasi, J.
a1703202-cb8f-41a5-bfcf-57f149364535
Abadie, J.
be3c8f91-ff50-45f2-9929-fe2a9b7940a8
Abbott, B.P.
20b32f53-5355-40eb-9d69-91c95d56e693
Jones, D.I.
b8f3e32c-d537-445a-a1e4-7436f472e160

Aasi, J., Abadie, J. and Abbott, B.P. et al. , LIGO-Virgo Scientific Collaboration (2013) Parameter estimation for compact binary coalescence signals with the first generation gravitational-wave detector network. Physical Review D, 88 (6), 1-24. (doi:10.1103/PhysRevD.88.062001).

Record type: Article

Abstract

Compact binary systems with neutron stars or black holes are one of the most promising sources for ground-based gravitational-wave detectors. Gravitational radiation encodes rich information about source physics; thus parameter estimation and model selection are crucial analysis steps for any detection candidate events. Detailed models of the anticipated waveforms enable inference on several parameters, such as component masses, spins, sky location and distance, that are essential for new astrophysical studies of these sources. However, accurate measurements of these parameters and discrimination of models describing the underlying physics are complicated by artifacts in the data, uncertainties in the waveform models and in the calibration of the detectors. Here we report such measurements on a selection of simulated signals added either in hardware or software to the data collected by the two LIGO instruments and the Virgo detector during their most recent joint science run, including a “blind injection” where the signal was not initially revealed to the collaboration. We exemplify the ability to extract information about the source physics on signals that cover the neutron-star and black-hole binary parameter space over the component mass range 1?M?–25?M? and the full range of spin parameters. The cases reported in this study provide a snapshot of the status of parameter estimation in preparation for the operation of advanced detectors.

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PhysRevD.88.062001 - Version of Record
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Published date: 4 September 2013
Organisations: Mathematical Sciences

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Local EPrints ID: 369421
URI: https://eprints.soton.ac.uk/id/eprint/369421
ISSN: 1550-7998
PURE UUID: a09e43a8-9daa-4606-8e5c-23f4b5ad616a

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Date deposited: 25 Sep 2014 15:54
Last modified: 12 Oct 2018 16:31

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