Gravitational wave echoes search with combs
Jing Ren, Di Wu

TL;DR
This paper introduces a Bayesian comb-based algorithm to search for gravitational wave echoes, focusing on resonance structures in frequency, and demonstrates its effectiveness with simulated signals and real LIGO data, but finds no evidence in observed events.
Contribution
Developed a novel Bayesian algorithm utilizing combs to detect resonance structures in gravitational wave echoes, improving model independence and detection precision.
Findings
Algorithm successfully detects echoes in simulated data.
No significant echo signals found in GW150914 and GW151012.
High-precision determination of time delay possible with the method.
Abstract
Gravitational wave echoes may provide a smoking gun signal for new physics in the immediate vicinity of black holes. As a quasiperiodic signal in time, echoes are characterized by the nearly constant time delay, and its precise measurement can help reveal a Planck-scale deviation outside of the would-be horizon. Different search methods have been developed for this quasiperiodic signal, while the searches suffer from large theoretical uncertainties of the echo waveform associated with the near-horizon physics. On the other hand, a coherent combination of a large number of pulses gives rise to a generic narrow resonance structure for the echo amplitude in frequency. The quasiperiodic resonance structure sets a complementary search target for echoes, and the time delay is inversely related to the average resonance spacing. A uniform comb has been proposed to look for the resonance…
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