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Hubble parameter estimation via dark sirens with the LISA-Taiji network
The Hubble parameter is one of the central parameters in modern cosmology, and describes the present expansion rate of the universe. The values of the parameter inferred from late-time observations are systematically higher than those inferred from early-time measurements by about [Formula: see text...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8863402/ https://www.ncbi.nlm.nih.gov/pubmed/35211320 http://dx.doi.org/10.1093/nsr/nwab054 |
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author | Wang, Renjie Ruan, Wen-Hong Yang, Qing Guo, Zong-Kuan Cai, Rong-Gen Hu, Bin |
author_facet | Wang, Renjie Ruan, Wen-Hong Yang, Qing Guo, Zong-Kuan Cai, Rong-Gen Hu, Bin |
author_sort | Wang, Renjie |
collection | PubMed |
description | The Hubble parameter is one of the central parameters in modern cosmology, and describes the present expansion rate of the universe. The values of the parameter inferred from late-time observations are systematically higher than those inferred from early-time measurements by about [Formula: see text]. To reach a robust conclusion, independent probes with accuracy at percent levels are crucial. Gravitational waves from compact binary coalescence events can be formulated into the standard siren approach to provide an independent Hubble parameter measurement. The future space-borne gravitational wave observatory network, such as the LISA-Taiji network, will be able to measure the gravitational wave signals in the millihertz bands with unprecedented accuracy. By including several statistical and instrumental noises, we show that, within a five-year operation time, the LISA-Taiji network is able to constrain the Hubble parameter within [Formula: see text] accuracy, and possibly beats the scatters down to [Formula: see text] or even better. |
format | Online Article Text |
id | pubmed-8863402 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-88634022022-02-23 Hubble parameter estimation via dark sirens with the LISA-Taiji network Wang, Renjie Ruan, Wen-Hong Yang, Qing Guo, Zong-Kuan Cai, Rong-Gen Hu, Bin Natl Sci Rev Research Article The Hubble parameter is one of the central parameters in modern cosmology, and describes the present expansion rate of the universe. The values of the parameter inferred from late-time observations are systematically higher than those inferred from early-time measurements by about [Formula: see text]. To reach a robust conclusion, independent probes with accuracy at percent levels are crucial. Gravitational waves from compact binary coalescence events can be formulated into the standard siren approach to provide an independent Hubble parameter measurement. The future space-borne gravitational wave observatory network, such as the LISA-Taiji network, will be able to measure the gravitational wave signals in the millihertz bands with unprecedented accuracy. By including several statistical and instrumental noises, we show that, within a five-year operation time, the LISA-Taiji network is able to constrain the Hubble parameter within [Formula: see text] accuracy, and possibly beats the scatters down to [Formula: see text] or even better. Oxford University Press 2021-04-01 /pmc/articles/PMC8863402/ /pubmed/35211320 http://dx.doi.org/10.1093/nsr/nwab054 Text en © The Author(s) 2021. Published by Oxford University Press on behalf of China Science Publishing & Media Ltd. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Wang, Renjie Ruan, Wen-Hong Yang, Qing Guo, Zong-Kuan Cai, Rong-Gen Hu, Bin Hubble parameter estimation via dark sirens with the LISA-Taiji network |
title | Hubble parameter estimation via dark sirens with the LISA-Taiji network |
title_full | Hubble parameter estimation via dark sirens with the LISA-Taiji network |
title_fullStr | Hubble parameter estimation via dark sirens with the LISA-Taiji network |
title_full_unstemmed | Hubble parameter estimation via dark sirens with the LISA-Taiji network |
title_short | Hubble parameter estimation via dark sirens with the LISA-Taiji network |
title_sort | hubble parameter estimation via dark sirens with the lisa-taiji network |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8863402/ https://www.ncbi.nlm.nih.gov/pubmed/35211320 http://dx.doi.org/10.1093/nsr/nwab054 |
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