A morphology-independent data analysis method for detecting and characterizing gravitational wave echoes

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

In: Physical Review D, Vol. 98, No. 2, 024023, 12.07.2018.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Tsang, KW, Rollier, M, Ghosh, A, Samajdar, A, Agathos, M, Chatziioannou, K, Cardoso, V, Khanna, G & Van Den Broeck, C 2018, 'A morphology-independent data analysis method for detecting and characterizing gravitational wave echoes', Physical Review D, vol. 98, no. 2, 024023. https://doi.org/10.1103/PhysRevD.98.024023

APA

Tsang, K. W., Rollier, M., Ghosh, A., Samajdar, A., Agathos, M., Chatziioannou, K., Cardoso, V., Khanna, G., & Van Den Broeck, C. (2018). A morphology-independent data analysis method for detecting and characterizing gravitational wave echoes. Physical Review D, 98(2), [024023]. https://doi.org/10.1103/PhysRevD.98.024023

Vancouver

Tsang KW, Rollier M, Ghosh A, Samajdar A, Agathos M, Chatziioannou K et al. A morphology-independent data analysis method for detecting and characterizing gravitational wave echoes. Physical Review D. 2018 Jul 12;98(2). 024023. https://doi.org/10.1103/PhysRevD.98.024023

Author

Tsang, Ka Wa ; Rollier, Michiel ; Ghosh, Archisman ; Samajdar, Anuradha ; Agathos, Michalis ; Chatziioannou, Katerina ; Cardoso, Vitor ; Khanna, Gaurav ; Van Den Broeck, Chris. / A morphology-independent data analysis method for detecting and characterizing gravitational wave echoes. In: Physical Review D. 2018 ; Vol. 98, No. 2.

Bibtex

@article{45b87aa0f48f45f58d5f7762355178ed,
title = "A morphology-independent data analysis method for detecting and characterizing gravitational wave echoes",
abstract = "The ability to directly detect gravitational waves has enabled us to empirically probe the nature of ultracompact 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 an echoing signal from an extreme mass-ratio inspiral of a particle into a Schwarzschild vacuum spacetime, with reflective boundary conditions close to the horizon. We find that both types of signals are detectable for plausible signal-to-noise ratios in existing detectors and their near-future upgrades. Finally, we show how the algorithm can provide a characterization of the echoes in terms of the time between successive bursts, and damping and widening from one echo to the next.",
author = "Tsang, {Ka Wa} and Michiel Rollier and Archisman Ghosh and Anuradha Samajdar and Michalis Agathos and Katerina Chatziioannou and Vitor Cardoso and Gaurav Khanna and {Van Den Broeck}, Chris",
year = "2018",
month = jul,
day = "12",
doi = "10.1103/PhysRevD.98.024023",
language = "English",
volume = "98",
journal = "Physical Review D",
issn = "2470-0010",
publisher = "American Physical Society",
number = "2",

}

RIS

TY - JOUR

T1 - A morphology-independent data analysis method for detecting and characterizing gravitational wave echoes

AU - Tsang, Ka Wa

AU - Rollier, Michiel

AU - Ghosh, Archisman

AU - Samajdar, Anuradha

AU - Agathos, Michalis

AU - Chatziioannou, Katerina

AU - Cardoso, Vitor

AU - Khanna, Gaurav

AU - Van Den Broeck, Chris

PY - 2018/7/12

Y1 - 2018/7/12

N2 - The ability to directly detect gravitational waves has enabled us to empirically probe the nature of ultracompact 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 an echoing signal from an extreme mass-ratio inspiral of a particle into a Schwarzschild vacuum spacetime, with reflective boundary conditions close to the horizon. We find that both types of signals are detectable for plausible signal-to-noise ratios in existing detectors and their near-future upgrades. Finally, we show how the algorithm can provide a characterization of the echoes in terms of the time between successive bursts, and damping and widening from one echo to the next.

AB - The ability to directly detect gravitational waves has enabled us to empirically probe the nature of ultracompact 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 an echoing signal from an extreme mass-ratio inspiral of a particle into a Schwarzschild vacuum spacetime, with reflective boundary conditions close to the horizon. We find that both types of signals are detectable for plausible signal-to-noise ratios in existing detectors and their near-future upgrades. Finally, we show how the algorithm can provide a characterization of the echoes in terms of the time between successive bursts, and damping and widening from one echo to the next.

U2 - 10.1103/PhysRevD.98.024023

DO - 10.1103/PhysRevD.98.024023

M3 - Journal article

VL - 98

JO - Physical Review D

JF - Physical Review D

SN - 2470-0010

IS - 2

M1 - 024023

ER -

ID: 299199794