Simple parameter estimation using observable features of gravitational-wave signals

Research output: Contribution to journalArticleResearchpeer review

Authors

  • Stephen Fairhurst
  • Charlie Hoy
  • Rhys Green
  • Cameron Mills
  • Samantha A. Usman

Research Organisations

External Research Organisations

  • Cardiff University
  • University of Portsmouth
  • Max Planck Institute for Gravitational Physics (Albert Einstein Institute)
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Details

Original languageEnglish
Article number082006
Number of pages34
JournalPhysical Review D
Volume108
Issue number8
Publication statusPublished - 23 Oct 2023

Abstract

Using simple, intuitive arguments, we discuss the expected accuracy with which astrophysical parameters can be extracted from an observed gravitational wave signal. The observation of a chirplike signal in the data allows for measurement of the component masses and aligned spins, while measurement in three or more detectors enables good localization. The ability to measure additional features in the observed signal - the existence or absence of power in (i) the second gravitational wave polarization, (ii) higher gravitational wave multipoles or (iii) spin-induced orbital precession - provide new information which can be used to significantly improve the accuracy of parameter measurement. We introduce the simple-pe algorithm which uses these methods to generate rapid parameter estimation results for binary mergers. We present results from a set of simulations, to illustrate the method, and compare results from simple-pe with measurements from full parameter estimation routines. The simple-pe routine is able to provide initial parameter estimates in a matter of CPU minutes, which could be used in real-time alerts and also as input to significantly accelerate detailed parameter estimation routines.

ASJC Scopus subject areas

Cite this

Simple parameter estimation using observable features of gravitational-wave signals. / Fairhurst, Stephen; Hoy, Charlie; Green, Rhys et al.
In: Physical Review D, Vol. 108, No. 8, 082006, 23.10.2023.

Research output: Contribution to journalArticleResearchpeer review

Fairhurst S, Hoy C, Green R, Mills C, Usman SA. Simple parameter estimation using observable features of gravitational-wave signals. Physical Review D. 2023 Oct 23;108(8):082006. doi: 10.48550/arXiv.2304.03731, 10.1103/PhysRevD.108.082006
Fairhurst, Stephen ; Hoy, Charlie ; Green, Rhys et al. / Simple parameter estimation using observable features of gravitational-wave signals. In: Physical Review D. 2023 ; Vol. 108, No. 8.
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title = "Simple parameter estimation using observable features of gravitational-wave signals",
abstract = "Using simple, intuitive arguments, we discuss the expected accuracy with which astrophysical parameters can be extracted from an observed gravitational wave signal. The observation of a chirplike signal in the data allows for measurement of the component masses and aligned spins, while measurement in three or more detectors enables good localization. The ability to measure additional features in the observed signal - the existence or absence of power in (i) the second gravitational wave polarization, (ii) higher gravitational wave multipoles or (iii) spin-induced orbital precession - provide new information which can be used to significantly improve the accuracy of parameter measurement. We introduce the simple-pe algorithm which uses these methods to generate rapid parameter estimation results for binary mergers. We present results from a set of simulations, to illustrate the method, and compare results from simple-pe with measurements from full parameter estimation routines. The simple-pe routine is able to provide initial parameter estimates in a matter of CPU minutes, which could be used in real-time alerts and also as input to significantly accelerate detailed parameter estimation routines.",
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note = "Funding Information: We thank Tom Dent, Ilya Mandel, Frank Ohme, Javier Roulet, Rory Smith, Eric Thrane, Veronica Villa, and Barak Zackay for useful discussions and suggestions. We thank Ben Farr and Javier Roulet for detailed comments on an earlier draft of the paper. We thank Mark Hannam and Vivien Raymond for continued discussions and insights throughout this project. S. F., R. G., C. H., C. M., and S. U. thank STFC for support through the Grants No. ST/V005618/1 and No. ST/N005430/1. C. H. thanks the UKRI Future Leaders Fellowship for support through Grant No. MR/T01881X/1. S. F. was supported by a Leverhulme Trust International Fellowship. The authors are also grateful for computational resources provided by LIGO Laboratory and supported by National Science Foundation Grants No. PHY-0757058 and No. PHY-0823459 and provided by Cardiff University, and funded by STFC Grant No. ST/I006285/1. simple-pe is programmed in p ython and utilizes modules from n um p y , s ci p y , p y cbc and pes ummary . Plots were prepared with m atplotlib , and pes ummary . As part of this paper, the parallel-bilby parameter estimation software , which made use of the dynesty nesting sampling package , was used for comparisons. ",
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