A possible late-time transition of $M_B$ inferred via neural networks
<|reference_start|>A possible late-time transition of $M_B$ inferred via neural networks: 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.<|reference_end|>
@article{mukherjee2024a,
    title={A possible late-time transition of $M_B$ inferred via neural networks},
    author={Purba Mukherjee, Konstantinos F. Dialektopoulos, Jackson Levi Said,
  Jurgen Mifsud},
    journal={JCAP09(2024)060},
    year={2024},
    doi={10.1088/1475-7516/2024/09/060},
    archivePrefix={arXiv},
    eprint={2402.10502},
    primaryClass={astro-ph.CO cs.LG gr-qc}
}