Hidden Markov model tracking of continuous gravitational waves from young supernova remnants

L. Sun, A. Melatos, S. Suvorova, W. Moran, and R. J. Evans
Phys. Rev. D 97, 043013 – Published 21 February 2018

Abstract

Searches for persistent gravitational radiation from nonpulsating neutron stars in young supernova remnants are computationally challenging because of rapid stellar braking. We describe a practical, efficient, semicoherent search based on a hidden Markov model tracking scheme, solved by the Viterbi algorithm, combined with a maximum likelihood matched filter, the F statistic. The scheme is well suited to analyzing data from advanced detectors like the Advanced Laser Interferometer Gravitational Wave Observatory (Advanced LIGO). It can track rapid phase evolution from secular stellar braking and stochastic timing noise torques simultaneously without searching second- and higher-order derivatives of the signal frequency, providing an economical alternative to stack-slide-based semicoherent algorithms. One implementation tracks the signal frequency alone. A second implementation tracks the signal frequency and its first time derivative. It improves the sensitivity by a factor of a few upon the first implementation, but the cost increases by 2 to 3 orders of magnitude.

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  • Received 1 October 2017
  • Corrected 13 August 2021

DOI:https://doi.org/10.1103/PhysRevD.97.043013

© 2018 American Physical Society

Physics Subject Headings (PhySH)

Gravitation, Cosmology & Astrophysics

Corrections

13 August 2021

Correction: The third time derivative of frequency f0 was rendered improperly during the conversion process five times and has been fixed.

Authors & Affiliations

L. Sun1,*, A. Melatos1,†, S. Suvorova2,1, W. Moran2, and R. J. Evans3,1

  • 1ozGrav, University of Melbourne, Parkville, Victoria 3010, Australia
  • 2School of Electrical and Computer Engineering, RMIT University, Melbourne, Victoria 3000, Australia
  • 3Department of Electrical and Electronic Engineering, University of Melbourne, Parkville, Victoria 3010, Australia

  • *lings2@student.unimelb.edu.au
  • amelatos@unimelb.edu.au

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Issue

Vol. 97, Iss. 4 — 15 February 2018

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