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  Investigating the noise residuals around the gravitational wave event GW150914

Nielsen, A. B., Nitz, A. H., Capano, C., & Brown, D. A. (2019). Investigating the noise residuals around the gravitational wave event GW150914. Journal of Cosmology and Astroparticle Physics, 2019(2): 019. doi:10.1088/1475-7516/2019/02/019.

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1811.04071.pdf (Preprint), 790KB
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 Creators:
Nielsen, Alex B.1, Author           
Nitz, Alexander H.2, Author           
Capano, Collin2, Author           
Brown, Duncan A., Author
Affiliations:
1Astrophysical Relativity, AEI-Golm, MPI for Gravitational Physics, Max Planck Society, ou_24013              
2Observational Relativity and Cosmology, AEI-Hannover, MPI for Gravitational Physics, Max Planck Society, ou_24011              

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Free keywords: Astrophysics, High Energy Astrophysical Phenomena, astro-ph.HE
 Abstract: We use the Pearson cross-correlation statistic proposed by Liu and Jackson,
and employed by Creswell et al., to look for statistically significant
correlations between the LIGO Hanford and Livingston detectors at the time of
the binary black hole merger GW150914. We compute this statistic for the
calibrated strain data released by LIGO, using both the residuals provided by
LIGO and using our own subtraction of a maximum-likelihood waveform that is
constructed to model binary black hole mergers in general relativity. To assign
a significance to the values obtained, we calculate the cross-correlation of
both simulated Gaussian noise and data from the LIGO detectors at times during
which no detection of gravitational waves has been claimed. We find that after
subtracting the maximum likelihood waveform there are no statistically
significant correlations between the residuals of the two detectors at the time
of GW150914.

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 Dates: 2018-11-092018-11-202019
 Publication Status: Issued
 Pages: 12 pages, 7 figures. Minor typo fixes in v2. Notebooks for generating the results are available at https://github.com/gwastro/gw150914_investigation
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Title: Journal of Cosmology and Astroparticle Physics
Source Genre: Journal
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Pages: - Volume / Issue: 2019 (2) Sequence Number: 019 Start / End Page: - Identifier: -