标题： 附录：用由Cohen-Kaplan-Nelson界限驱动的暗能量拟合DESI BAO数据 显示英文标题

标题： Addendum: Fitting the DESI BAO Data with Dark Energy Driven by the Cohen-Kaplan-Nelson Bound

摘要： 受DESI合作最近发布的第二年数据的启发，我们更新了关于由Cohen-Kaplan-Nelson界限驱动的时变暗能量模型的结果。 先前发现的时变暗能量模型相对于$\Lambda$CDM 的偏好性因新的数据发布而得到进一步加强。 对于我们的特定模型，我们发现这种偏好性会增加到$\approx 2.6\,\sigma$，具体取决于使用的超新星数据集。 显示英文摘要

摘要： 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.