Hierarchical multistage MCMC follow-up of continuous gravitational wave candidates

Feb 15, 2018
15 pages
Published in:
  • Phys.Rev.D 97 (2018) 10, 103020
  • Published: May 31, 2018
e-Print:

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Abstract: (APS)
Leveraging Markov chain Monte Carlo optimization of the F statistic, we introduce a method for the hierarchical follow-up of continuous gravitational wave candidates identified by wide–parameter space semicoherent searches. We demonstrate parameter estimation for continuous wave sources and develop a framework and tools to understand and control the effective size of the parameter space, critical to the success of the method. Monte Carlo tests of simulated signals in noise demonstrate that this method is close to the theoretical optimal performance.
Note:
  • 16 pages, 9 figures, 3 tables; updated following acceptance for publication in Phys. Rev. D
  • Monte Carlo: Markov chain
  • gravitational radiation
  • hierarchy
  • performance
  • noise
  • statistics