Augmented kludge waveforms and Gaussian process regression for EMRI data analysis
General Relativity and Quantum Cosmology
2016-06-03 v1 High Energy Astrophysical Phenomena
Instrumentation and Methods for Astrophysics
Abstract
Extreme-mass-ratio inspirals (EMRIs) will be an important type of astrophysical source for future space-based gravitational-wave detectors. There is a trade-off between accuracy and computational speed for the EMRI waveform templates required in the analysis of data from these detectors. We discuss how the systematic error incurred by using faster templates may be reduced with improved models such as augmented kludge waveforms, and marginalised over with statistical techniques such as Gaussian process regression.
Cite
@article{arxiv.1602.00620,
title = {Augmented kludge waveforms and Gaussian process regression for EMRI data analysis},
author = {Alvin J. K. Chua},
journal= {arXiv preprint arXiv:1602.00620},
year = {2016}
}
Comments
4 pages, 2 figures, conference proceedings for 11th Edoardo Amaldi Conference on Gravitational Waves