Testing $Λ$CDM with ANN-Reconstructed Expansion History from Cosmic Chronometers
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arXiv
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| Autores principales: | , , |
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| Formato: | Preprint |
| Publicado: |
2026
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| _version_ | 1866909000516239360 |
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| author | Hashimoto, Yuki Bamba, Kazuharu Mandal, Sanjay |
| author_facet | Hashimoto, Yuki Bamba, Kazuharu Mandal, Sanjay |
| contents | In modern cosmology, the rapid growth of high-precision observational data, along with significant theoretical advances, has intensified the challenge of identifying a robust, model-independent framework to probe the expansion history of the Universe. In this work, we propose a novel artificial neural network (ANN)-based framework for the non-parametric reconstruction of the late-time cosmic expansion. The framework is trained and validated through a three-stage screening pipeline prior to its application to real observational data. As a demonstration of its effectiveness, we reconstruct the Hubble parameter $H(z)$ using the latest cosmic chronometer measurements. Our results show that the reconstructed expansion history aligns with the predictions of the $Λ$CDM model within observational uncertainties, thereby supporting the robustness and reliability of the proposed approach. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2604_22372 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Testing $Λ$CDM with ANN-Reconstructed Expansion History from Cosmic Chronometers Hashimoto, Yuki Bamba, Kazuharu Mandal, Sanjay Cosmology and Nongalactic Astrophysics In modern cosmology, the rapid growth of high-precision observational data, along with significant theoretical advances, has intensified the challenge of identifying a robust, model-independent framework to probe the expansion history of the Universe. In this work, we propose a novel artificial neural network (ANN)-based framework for the non-parametric reconstruction of the late-time cosmic expansion. The framework is trained and validated through a three-stage screening pipeline prior to its application to real observational data. As a demonstration of its effectiveness, we reconstruct the Hubble parameter $H(z)$ using the latest cosmic chronometer measurements. Our results show that the reconstructed expansion history aligns with the predictions of the $Λ$CDM model within observational uncertainties, thereby supporting the robustness and reliability of the proposed approach. |
| title | Testing $Λ$CDM with ANN-Reconstructed Expansion History from Cosmic Chronometers |
| topic | Cosmology and Nongalactic Astrophysics |
| url | https://arxiv.org/abs/2604.22372 |