A Nonparametric Reconstruction of the Hubble Parameter H(z) Based on Radial Basis Function Neural Networks

Accurately measuring the Hubble parameter is vital for understanding the expansion history and properties of the Universe. In this paper, we propose a new method that supplements the covariance between redshift pairs to improve the reconstruction of the Hubble parameter using the observational Hubbl...

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Detalles Bibliográficos

Principais autores:	Jian-Chen Zhang, Yu Hu, Kang Jiao, Hong-Feng Wang, Yuan-Bo Xie, Bo Yu, Li-Li Zhao, Tong-Jie Zhang
Formato:	Artigo
Idioma:	Inglês
Publicado:	IOP Publishing 2024-01-01
Series:	The Astrophysical Journal Supplement Series
Assuntos:	Observational cosmology Computational methods Hubble constant Cosmological parameters
Acceso en liña:	https://doi.org/10.3847/1538-4365/ad0f1e
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