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Journal Article

Hierarchical multistage MCMC follow-up of continuous gravitational wave candidates

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Ashton,  G.
Observational Relativity and Cosmology, AEI-Hannover, MPI for Gravitational Physics, Max Planck Society;

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Prix,  R.
Observational Relativity and Cosmology, AEI-Hannover, MPI for Gravitational Physics, Max Planck Society;

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1802.05450.pdf
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Citation

Ashton, G., & Prix, R. (2018). Hierarchical multistage MCMC follow-up of continuous gravitational wave candidates. Physical Review D, 97: 103020. doi:10.1103/PhysRevD.97.103020.


Cite as: https://hdl.handle.net/21.11116/0000-0000-F48D-E
Abstract
Leveraging Markov chain Monte Carlo (MCMC) optimization of the F-statistic, we introduce a method for the hierarchical follow-up of continuous gravitational wave candidates identified by wide-parameter space semi-coherent 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.