A possible late-time transition of $M_B$ inferred via neural networks

• URL: http://arxiv.org/abs/2402.10502v2
• Date: Wed, 4 Sep 2024 13:31:31 GMT
• Title: A possible late-time transition of $M_B$ inferred via neural networks
• Abstract summary: Tension in the Hubble constant can be viewed as a tension between local and early Universe constraints. We employ neural networks to agnostically constrain the value of the absolute magnitude. We find an indication for a possible transition redshift at the $zapprox 1$ region.
• Score: 0.0
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• 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 absolute magnitude as well as assess the impact and statistical significance of a variation in $M_B$ with redshift from the Pantheon+ compilation, together with a thorough analysis of the neural network architecture. We find an indication for a possible transition redshift at the $z\approx 1$ region.

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