2021
DOI: 10.1103/physrevd.103.024029
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Towards the routine use of subdominant harmonics in gravitational-wave inference: Reanalysis of GW190412 with generation X waveform models

Abstract: We re-analyse the gravitational-wave event GW190412 with state-of-the-art phenomenological waveform models. This event, which has been associated with a black hole merger, is interesting due to the significant contribution from subdominant harmonics. We use both frequency-domain and time-domain waveform models. The PhenomX waveform models constitute the fourth generation of frequency-domain phenomenological waveforms for black hole binary coalescence; they have more recently been complemented by the time-domai… Show more

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Cited by 43 publications
(50 citation statements)
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“…Indeed, the observed distribution for the population, shown in Figure 1, shows a clear high-SNR tail that indicates the observation of the (3,3) multipole. Higher multipoles have previously been identified in both GW190814 and GW190412, with their observability and their impact on parameter estimates discussed at length in previous works [27,28,[40][41][42]. Unsurprisingly, we see that among all events in O3a, GW190412 and GW190814 have the largest SNR in the (3, 3) multipole, with ρ 33 = 6.2 +1.3 −1.5 for GW190814 and ρ 33 = 3.5 +0.8 −1.2 for GW190412.…”
Section: Resultsmentioning
confidence: 82%
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“…Indeed, the observed distribution for the population, shown in Figure 1, shows a clear high-SNR tail that indicates the observation of the (3,3) multipole. Higher multipoles have previously been identified in both GW190814 and GW190412, with their observability and their impact on parameter estimates discussed at length in previous works [27,28,[40][41][42]. Unsurprisingly, we see that among all events in O3a, GW190412 and GW190814 have the largest SNR in the (3, 3) multipole, with ρ 33 = 6.2 +1.3 −1.5 for GW190814 and ρ 33 = 3.5 +0.8 −1.2 for GW190412.…”
Section: Resultsmentioning
confidence: 82%
“…Previous studies have identified evidence for subdominant multipole moments by either a) calculating Bayes factors, the difference in Bayesian evidences, through multiple parameter estimation studies [e.g. 16,40,41] or via likelihood re-weighting [15], b) statistically comparing posteriors obtained with waveform models which included higher order multipoles and those which excluded higher order multipoles beyond = 2 [46], c) analysing time-frequency tracks in the GW strain data [27,47], d) identifying if there is a loss in the observed coherent signal energy when comparing the output from the cWB detection pipeline [48] with predictions from a waveform model which excludes subdominant multipole moments [28], or e) directly calculating the SNR of each ( , m) multipole ρ m [20,27,28,49]. Here, we identify whether multipoles other than the dominant (2,2) multipole have been observed by calculating the orthogonal SNR of each ( , m) multipole.…”
Section: Methods a Calculating The Snr In Precession And Higher Multi...mentioning
confidence: 99%
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