3 years ago

Extraction of black hole coalescence waveforms from noisy data.

J. W. Moffat, Martin A. Green

We describe independent analysis of LIGO data for black hole coalescence events. Gravitational wave strain waveforms are extracted directly from the data using a filtering method that exploits the observed or expected time-dependent frequency content. Statistical analysis demonstrates that residual noise, after filtering out spectral peaks, is nearly Gaussian, with no anomalous causal correlation between the Hanford and Livingston sites. The extracted waveforms and time offsets differ only slightly from the published LIGO results. Simulated events, with known signals injected into real noise, are used to determine uncertainties due to residual noise and demonstrate that our results are unbiased. While the extracted waveforms are clearly indicative of black hole coalescence, we find signal-to-noise ratios (SNRs) much smaller than the published matched-filter detection SNRs.

Publisher URL: http://arxiv.org/abs/1711.00347

DOI: arXiv:1711.00347v1

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