Motivated by the recent Year-2 data release of the DESI collaboration, we
update our results on time-varying dark energy models driven by the
Cohen-Kaplan-Nelson bound. The previously found preference of time-dependent
dark energy models compared to $\Lambda$CDM is further strengthend by the new
data release. For our particular models, we find that this preference increases
up to $\approx 2.6\,\sigma$ depending on the used supernova dataset.

Questo articolo esplora i giri e le loro implicazioni.

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