Long-duration transient gravitational-wave search pipeline

A. Macquet, M. A. Bizouard, N. Christensen, and M. Coughlin
Phys. Rev. D 104, 102005 – Published 19 November 2021

Abstract

As the sensitivity and observing time of gravitational-wave detectors increase, a more diverse range of signals is expected to be observed from a variety of sources. Especially, long-lived gravitational-wave transients have received interest in the last decade. Because most long-duration signals are poorly modeled, detection must rely on generic search algorithms, which make few or no assumptions on the nature of the signal. However, the computational cost of those searches remains a limiting factor, which leads to suboptimal sensitivity. Several detection algorithms have been developed to cope with this issue. In this paper, we present a new data analysis pipeline to search for unmodeled long-lived transient gravitational-wave signals with duration between 10 and 103s, based on an excess cross-power statistic in a network of detectors. The pipeline implements several new features that are intended to reduce computational cost and increase detection sensitivity for a wide range of signal morphologies. The method is generalized to a network of an arbitrary number of detectors and aims to provide a stable interface for further improvements. Comparisons with a previous implementation of a similar method on simulated and real gravitational-wave data show an overall increase in detection efficiency for all but one signal morphologies tested and a computing time reduced by at least a factor 10.

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  • Received 24 August 2021
  • Accepted 19 October 2021

DOI:https://doi.org/10.1103/PhysRevD.104.102005

© 2021 American Physical Society

Physics Subject Headings (PhySH)

Gravitation, Cosmology & Astrophysics

Authors & Affiliations

A. Macquet1, M. A. Bizouard1, N. Christensen1, and M. Coughlin2

  • 1Artemis, Université Côte d’Azur, Observatoire de la Côte d’Azur, CNRS, Nice 06300, France
  • 2School of Physics and Astronomy, University of Minnesota, Minneapolis, Minnesota 55455, USA

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Issue

Vol. 104, Iss. 10 — 15 November 2021

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