2020
DOI: 10.1103/physrevd.101.064012
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A morphology-independent search for gravitational wave echoes in data from the first and second observing runs of Advanced LIGO and Advanced Virgo

Abstract: Gravitational wave echoes have been proposed as a smoking-gun signature of exotic compact objects with near-horizon structure. Recently there have been observational claims that echoes are indeed present in stretches of data from Advanced LIGO and Advanced Virgo immediately following gravitational wave signals from presumed binary black hole mergers, as well as a binary neutron star merger. In this paper we deploy a morphology-independent search algorithm for echoes introduced in Tsang et al., Phys. Rev. D 98,… Show more

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Cited by 64 publications
(49 citation statements)
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“…Table 18. Log Bayes factors for signal versus noise and signal versus glitch, and the corresponding p-values, for events seen in two detectors of GWTC-1 [10]. The bottom row shows the combined p-values for all these events together.…”
Section: Results Of Uchikata Et Al [2]mentioning
confidence: 99%
See 3 more Smart Citations
“…Table 18. Log Bayes factors for signal versus noise and signal versus glitch, and the corresponding p-values, for events seen in two detectors of GWTC-1 [10]. The bottom row shows the combined p-values for all these events together.…”
Section: Results Of Uchikata Et Al [2]mentioning
confidence: 99%
“…Plugging Eqs. (9)(10)(11)(12)(13) into the the Israel junction condition, we find in the zeroth order in :…”
Section: Membrane Paradigmmentioning
confidence: 97%
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“…Tentative evidence for echoes in the combined LIGO/Virgo binary BH events [13,14] and in the neutron-star binary coalescence GW170817 [15] have been reported, followed by controversial claims about the statistical significance of such results [13,14,[16][17][18][19], and by recent negative searches using a more accurate template [20] and a morphology-independent algorithm [21]. Performing a reliable search for echoes requires developing data analysis techniques as well as constructing accurate waveform models.…”
Section: Introductionmentioning
confidence: 99%