Hierarchical multi-stage MCMC follow-up of continuous gravitational wave candidates
Instrumentation and Methods for Astrophysics
2018-06-06 v2 High Energy Astrophysical Phenomena
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.
Keywords
Cite
@article{arxiv.1802.05450,
title = {Hierarchical multi-stage MCMC follow-up of continuous gravitational wave candidates},
author = {Gregory Ashton and Reinhard Prix},
journal= {arXiv preprint arXiv:1802.05450},
year = {2018}
}
Comments
16 pages, 9 figures, 3 tables; updated following acceptance for publication in Phys. Rev. D