Hubble parameter estimation via dark sirens with the LISA-Taiji network

doi:10.1093/nsr/nwab054

CORC > 理论物理研究所 > 中国科学院理论物理研究所 > 理论物理所科研产出 > 理论物理所1978-2010年知识产出

	Hubble parameter estimation via dark sirens with the LISA-Taiji network
	Wang, Renjie ; Ruan, Wen-Hong ; Yang, Qing 4; Guo, Zong-Kuan ; Cai, Rong-Gen ; Hu, Bin
刊名	NATIONAL SCIENCE REVIEW
	2022
卷号	9 期号:2 页码:nwab054
关键词	BLACK-HOLES CONSTANT
ISSN号	2095-5138
DOI	10.1093/nsr/nwab054
英文摘要	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 10%. 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 1% accuracy, and possibly beats the scatters down to 0.5% or even better.
学科主题	Science & Technology - Other Topics
语种	英语
内容类型	期刊论文
源URL	[http://ir.itp.ac.cn/handle/311006/27771]
专题	理论物理研究所_理论物理所1978-2010年知识产出
作者单位	1.Univ Chinese Acad Sci, Sch Fundamental Phys & Math Sci, Hangzhou Inst Adv Study, Hangzhou 310024, Peoples R China 2.Beijing Normal Univ, Dept Astron, Beijing 100875, Peoples R China 3.Chinese Acad Sci, Inst Theoret Phys, CAS Key Lab Theoret Phys, Beijing 100190, Peoples R China 4.Univ Chinese Acad Sci, Sch Phys Sci, Beijing 100049, Peoples R China 5.Shenzhen Technol Univ, Coll Engn Phys, Shenzhen 518118, Peoples R China
推荐引用方式 GB/T 7714	Wang, Renjie,Ruan, Wen-Hong,Yang, Qing,et al. Hubble parameter estimation via dark sirens with the LISA-Taiji network[J]. NATIONAL SCIENCE REVIEW,2022,9(2):nwab054.
APA	Wang, Renjie,Ruan, Wen-Hong,Yang, Qing,Guo, Zong-Kuan,Cai, Rong-Gen,&Hu, Bin.(2022).Hubble parameter estimation via dark sirens with the LISA-Taiji network.NATIONAL SCIENCE REVIEW,9(2),nwab054.
MLA	Wang, Renjie,et al."Hubble parameter estimation via dark sirens with the LISA-Taiji network".NATIONAL SCIENCE REVIEW 9.2(2022):nwab054.