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...
Gorde:
| Egile Nagusiak: | , , , , , , , |
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| Formatua: | Artigo |
| Hizkuntza: | Inglês |
| Argitaratua: |
IOP Publishing
2024-01-01
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| Saila: | The Astrophysical Journal Supplement Series |
| Gaiak: | |
| Sarrera elektronikoa: | https://doi.org/10.3847/1538-4365/ad0f1e |
| Etiketak: |
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