Issue |
EPJ Web Conf.
Volume 168, 2018
Joint International Conference of ICGAC-XIII and IK-15 on Gravitation, Astrophysics and Cosmology
|
|
---|---|---|
Article Number | 01008 | |
Number of page(s) | 10 | |
Section | Plenary Talks | |
DOI | https://doi.org/10.1051/epjconf/201816801008 | |
Published online | 09 January 2018 |
https://doi.org/10.1051/epjconf/201816801008
Standard sirens and dark sector with Gaussian process*
1
CAS Key Laboratory of Theoretical Physics, Institute of Theoretical Physics, Chinese Academy of Sciences, P.O. Box 2735, Beijing 100190, China
2
School of Physical Sciences, University of Chinese Academy of Sciences, No. 19A Yuquan Road, Beijing 100049, China
3
Department of Astronomy, Beijing Normal University, Beijing, 100875, China
** e-mail: cairg@itp.ac.cn
*** e-mail: yangtao2017@bnu.edu.cn
Published online: 9 January 2018
The gravitational waves from compact binary systems are viewed as a standard siren to probe the evolution of the universe. This paper summarizes the potential and ability to use the gravitational waves to constrain the cosmological parameters and the dark sector interaction in the Gaussian process methodology. After briefly introducing the method to reconstruct the dark sector interaction by the Gaussian process, the concept of standard sirens and the analysis of reconstructing the dark sector interaction with LISA are outlined. Furthermore, we estimate the constraint ability of the gravitational waves on cosmological parameters with ET. The numerical methods we use are Gaussian process and the Markov-Chain Monte-Carlo. Finally, we also forecast the improvements of the abilities to constrain the cosmological parameters with ET and LISA combined with the Planck.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (http://creativecommons.org/licenses/by/4.0/).
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