English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
Add to Basket
  Local TagsRelease HistoryDetailsSummary

Released
Journal Article

Pearson cross-correlation in the first four black hole binary mergers

MPS-Authors
/persons/resource/persons26313

Nielsen,  Alex B.
Observational Relativity and Cosmology, AEI-Hannover, MPI for Gravitational Physics, Max Planck Society;

External Resource
No external resources are shared
Fulltext (restricted access)
There are currently no full texts shared for your IP range.
Fulltext (public)

2008.12663.pdf
(Preprint), 3MB

Supplementary Material (public)
There is no public supplementary material available
Citation

Marcoccia, P., Fredriksson, F., Nielsen, A. B., & Nardini, G. (2020). Pearson cross-correlation in the first four black hole binary mergers. Journal of Cosmology and Astroparticle Physics, 2020(11): 043. doi:10.1088/1475-7516/2020/11/043.


Cite as: https://hdl.handle.net/21.11116/0000-0007-067C-8
Abstract
We adopt the Pearson cross-correlation measure to analyze the LIGO Hanford
and LIGO Livingston detector data streams around the events GW150914,
GW151012,GW151226 and GW170104. We find that the Pearson cross-correlation
method is sensitive to these signals, with correlations peaking when the black
hole binaries reconstructed by the LIGO Scientific and Virgo Collaborations,
are merging. We compare the obtained cross-correlations with the statistical
correlation fluctuations arising in simulated Gaussian noise data and in LIGO
data at times when no event is claimed. Our results for the significance of the
observed cross-correlations are broadly consistent with those announced by the
LIGO Scientific and Virgo Collaborations based on matched-filter analysis. In
the same data, if we subtract the maximum likelihood waveforms corresponding to
the announced signals, no residual cross-correlations persists at a
statistically significant level.