Academic Journal
A Nonparametric Reconstruction of the Hubble Parameter H(z) Based on Radial Basis Function Neural Networks
العنوان: | A Nonparametric Reconstruction of the Hubble Parameter H(z) Based on Radial Basis Function Neural Networks |
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المؤلفون: | Jian-Chen Zhang, Yu Hu, Kang Jiao, Hong-Feng Wang, Yuan-Bo Xie, Bo Yu, Li-Li Zhao, Tong-Jie Zhang |
المصدر: | The Astrophysical Journal Supplement Series, Vol 270, Iss 2, p 23 (2024) |
بيانات النشر: | IOP Publishing, 2024. |
سنة النشر: | 2024 |
المجموعة: | LCC:Astrophysics |
مصطلحات موضوعية: | Observational cosmology, Computational methods, Hubble constant, Cosmological parameters, Astrophysics, QB460-466 |
الوصف: | 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 Hubble data set. Our approach uses a cosmological model-independent radial basis function neural network to effectively describe the Hubble parameter as a function of redshift. Our experiments show that this method results in a reconstructed Hubble parameter of H _0 = 67.1 ± 9.7 km s ^−1 Mpc ^−1 , which is more noise resistant and fits the ΛCDM model at high redshifts better. Providing the covariance between redshift pairs in subsequent observations will significantly improve the reliability and accuracy of Hubble parametric data reconstruction. Future applications of this method could help overcome the limitations of previous methods and lead to new advances in our understanding of the Universe. |
نوع الوثيقة: | article |
وصف الملف: | electronic resource |
اللغة: | English |
تدمد: | 1538-4365 0067-0049 |
Relation: | https://doaj.org/toc/0067-0049 |
DOI: | 10.3847/1538-4365/ad0f1e |
URL الوصول: | https://doaj.org/article/516bcd6330334d4eae1207c560cfdc35 |
رقم الانضمام: | edsdoj.516bcd6330334d4eae1207c560cfdc35 |
قاعدة البيانات: | Directory of Open Access Journals |
تدمد: | 15384365 00670049 |
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DOI: | 10.3847/1538-4365/ad0f1e |