2018
DOI: 10.1103/physrevd.98.123021
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Characterization of low-significance gravitational-wave compact binary sources

Abstract: Advanced LIGO and Virgo have so far detected gravitational waves from 10 binary black hole mergers (BBH) and 1 binary neutron star merger (BNS). In the future, we expect the detection of many more marginal sources, since compact binary coalescences detectable by advanced ground-based instruments are roughly distributed uniformly in comoving volume. In this paper we simulate weak signals from compact binary coalescences of various morphologies and optimal network signal-to-noise ratios (henceforth SNRs), and an… Show more

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Cited by 14 publications
(10 citation statements)
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“…Due to the correlations between masses and spins [138][139][140], multimodality in mass distributions may also translate to multiple peaks in the effective inspiral spin distribution. Multimodality can arise due to: the complexity of the likelihood surface when using waveform models that include higher-order multipole moments [19,[141][142][143] and precession [144,145], noise fluctuations for quiet signals [146], the presence of glitches [147][148][149], or there being multiple overlapping signals in the data (which is unlikely given O3 sensitivity) [150]. Therefore, multimodality is expected in a few cases.…”
Section: Source Propertiesmentioning
confidence: 99%
“…Due to the correlations between masses and spins [138][139][140], multimodality in mass distributions may also translate to multiple peaks in the effective inspiral spin distribution. Multimodality can arise due to: the complexity of the likelihood surface when using waveform models that include higher-order multipole moments [19,[141][142][143] and precession [144,145], noise fluctuations for quiet signals [146], the presence of glitches [147][148][149], or there being multiple overlapping signals in the data (which is unlikely given O3 sensitivity) [150]. Therefore, multimodality is expected in a few cases.…”
Section: Source Propertiesmentioning
confidence: 99%
“…The largest BF was 2.08 in the case of 170726249 (p-value = 0.0262). We also note that, in the absence of a signal with moderate signal-to-noise ratio (SNR), inferred posterior probability distributions will be prior dominated, and in the presence of non-Gaussian noise fluctuations parameter estimation methods may return broad posteriors with multiple peaks, even for typically well constrained parameters such as the chirp mass (Huang et al 2018). We observe these posterior features in our follow-up analyses as noted in Table 2.…”
Section: Modeled Search Resultsmentioning
confidence: 99%
“…Bayes factors (BFs) quantify the Bayesian odds ratio between the hypothesis that there is a coherent NS binary merger signal in the data versus the hypothesis that the data contain only instrumental noise, which may be purely Gaussian or include incoherent non-Gaussianities (see Equation 1 and accompanying discussion in Isi et al 2018). At low signal-to-noise ratio (SNR), inferred posterior probability distributions tend to be prior dominated and in the presence of non-Gaussian noise fluctuations may exhibit multiple peaks, even for typically well constrained parameters such as the chirp mass (Huang et al 2018). We report here ρ, the network matched filter SNR corresponding to the maximum of the likelihood as estimated by LALInference.…”
Section: Discussionmentioning
confidence: 99%
“…We have also investigated the relationship between the 90% credible interval and the signal-to-noise ratio of the detector network (Huang et al 2018). The result is plotted in the Figure 4.…”
Section: Kolmogorov-smirnov (Ks) Testmentioning
confidence: 99%
“…The simulated data used here is the same as those in the Figure 3. Huang et al (2018) from the prior distributions. This is better to test the general capability of our method.…”
Section: Kolmogorov-smirnov (Ks) Testmentioning
confidence: 99%