A morphology-independent data analysis method for detecting and characterizing gravitational wave echoes
Ka Wa Tsang, Michiel Rollier, Archisman Ghosh, Anuradha Samajdar,, Michalis Agathos, Katerina Chatziioannou, Vitor Cardoso, Gaurav Khanna, Chris, Van Den Broeck

TL;DR
This paper introduces a morphology-independent method using generalized wavelets to detect and characterize gravitational wave echoes, which could indicate horizonless ultra-compact objects, in data from current and future detectors.
Contribution
The paper presents a novel, template-free approach for identifying gravitational wave echoes, improving detection capabilities over previous template-based methods.
Findings
Detects echoes at plausible signal-to-noise ratios in existing detectors.
Able to distinguish echoes from instrumental noise.
Provides characterization of echoes including timing and damping.
Abstract
The ability to directly detect gravitational waves has enabled us to empirically probe the nature of ultra-compact relativistic objects. Several alternatives to the black holes of classical general relativity have been proposed which do not have a horizon, in which case a newly formed object (e.g. as a result of binary merger) may emit echoes: bursts of gravitational radiation with varying amplitude and duration, but arriving at regular time intervals. Unlike in previous template-based approaches, we present a morphology-independent search method to find echoes in the data from gravitational wave detectors, based on a decomposition of the signal in terms of generalized wavelets consisting of multiple sine-Gaussians. The ability of the method to discriminate between echoes and instrumental noise is assessed by inserting into the noise two different signals: a train of sine-Gaussians, and…
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