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Effect of Noise Estimation in Time-Domain Ringdown Analysis: A Case Study with GW150914
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abstract
Accurate noise estimation from gravitational wave (GW) data is critical for Bayesian inference. However, recent studies on ringdown signal, such as those by Isi et al. [1], Cotesta et al. [2], and Isi and Farr [3], have encountered disagreement in noise estimation, leading to inconsistent results. The key discrepancy between these studies lies in the usage of different noise estimation methods, augmented by the usage of different sampling rates. We achieved consistent results across various sampling rates by correctly managing noise estimation, shown in the case study of the GW150914 ringdown signal. By conducting a time-domain Bayesian inference analysis on GW data, starting from the peak of the signal, we discovered that the first overtone mode is weakly supported by the amplitude distribution, with a confidence level of $1.6{\sigma}$, and is slightly disfavored by the log-Bayes factor. Overall, in our time-domain analysis we conclude there is no strong evidence for overtones in GW150914.
Forward citations
Cited by 2 Pith papers
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First Overtone Mode in the Ringdown Signal of GW231028
The ringdown of GW231028 contains evidence for the 221 first overtone mode alongside the dominant 220 mode, with a Bayes factor of 193 at 10M after the peak.
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Detection of a Higher Harmonic Quasi-normal Mode in the Ringdown Signal of GW231123
The ringdown of GW231123 contains a detectable 200 quasinormal mode in addition to the fundamental 220 mode, with log10 Bayes factor 5.3, and the inferred remnant mass and spin agree with general relativity.
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