标题： 附录：使用由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 合作项目近期发布的第二年数据的启发，我们更新了由 Cohen-Kaplan-Nelson 边界驱动的时变暗能量模型的成果。 之前发现的时间相关暗能量模型相对于 $\Lambda$CDM 的偏好性因新发布的数据而得到进一步证实。 对于我们特定的模型，我们发现这种偏好性会根据所使用的超新星数据集而增加，最高可达 $\approx 2.6\,\sigma$。 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.