Probabilistic Inference of Cosmological Density Parameters from Synthetic Hubble Expansion Data of Varying SNR Using Diverse Artificial Neural Network Architectures

Fuente: arXiv

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Bibliographic Details
Main Authors:	Jin, Zijian, Rhee, Jaehyon
Format:	Preprint
Published:	2025
Subjects:	Cosmology and Nongalactic Astrophysics
Online Access:	Acceder al recurso
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Internet

https://arxiv.org/abs/2510.12865