Late-time transition of $M_B$ inferred via neural networks

arXiv:2402.10502v1 Announce Type: cross
Abstract: The strengthening of tensions in the cosmological parameters has led to a reconsideration of fundamental aspects of standard cosmology. The tension in the Hubble constant can also be viewed as a tension between local and early Universe constraints on the absolute magnitude $M_B$ of Type Ia supernova. In this work, we reconsider the possibility of a variation of this parameter in a model-independent way. We employ neural networks to agnostically constrain the value of the …

abstract arxiv astro-ph.co constraints cosmology cs.lg gr-qc networks neural networks parameters standard supernova transition type universe via