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

Purba Mukherjee, Konstantinos F. Dialektopoulos, Jackson Levi Said, Jurgen Mifsud
2/16/2024
astro-ph.COcs.LGgr-qc

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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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Cite this paper

@article{mukherjee2024possible,
  title  = {A possible late-time transition of $M_B$ inferred via neural networks},
  author = {Purba Mukherjee and Konstantinos F. Dialektopoulos and Jackson Levi Said and Jurgen Mifsud},
  year   = {2024},
  eprint = {2402.10502},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2402.10502v2}
}

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