Detecting Binary Compact-object Mergers with Gravitational Waves: Understanding and Improving the Sensitivity of the PyCBC Search

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Nitz, A.H.; Dent, T.; Dal, Canton, T.; Fairhurst, S.; Brown, D.A.: Detecting Binary Compact-object Mergers with Gravitational Waves: Understanding and Improving the Sensitivity of the PyCBC Search. In: Astrophysical Journal 849 (2017), Nr. 2, 118. DOI: https://doi.org/10.3847/1538-4357/aa8f50

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To cite the version in the repository, please use this identifier: https://doi.org/10.15488/4044

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Sum total of downloads: 122




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Abstract: 
We present an improved search for binary compact-object mergers using a network of ground-based gravitational wave detectors. We model a volumetric, isotropic source population and incorporate the resulting distribution over signal amplitude, time delay, and coalescence phase into the ranking of candidate events. We describe an improved modeling of the background distribution, and demonstrate incorporating a prior model of the binary mass distribution in the ranking of candidate events. We find an ∼10% and ∼20% increase in detection volume for simulated binary neutron star and neutron star black hole systems, respectively, corresponding to a reduction of the false alarm rates assigned to signals by between one and two orders of magnitude.
License of this version: CC BY 3.0 Unported
Document Type: Article
Publishing status: publishedVersion
Issue Date: 2017
Appears in Collections:An-Institute

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pos. country downloads
total perc.
1 image of flag of Germany Germany 81 66.39%
2 image of flag of United States United States 23 18.85%
3 image of flag of China China 8 6.56%
4 image of flag of No geo information available No geo information available 1 0.82%
5 image of flag of Taiwan Taiwan 1 0.82%
6 image of flag of Russian Federation Russian Federation 1 0.82%
7 image of flag of India India 1 0.82%
8 image of flag of Indonesia Indonesia 1 0.82%
9 image of flag of Spain Spain 1 0.82%
10 image of flag of Brazil Brazil 1 0.82%
    other countries 3 2.46%

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