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arXiv 0804.0413astro-ph
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一种基于不同模型间区分能力的未来暗能量实验影响的测量

A measure of the impact of future dark energy experiments based on discriminating power among quintessence models

Michael Barnard, Augusta Abrahamse, Andreas Albrecht, Brandon Bozek, Mark Yashar

备注：
11 pages,10 figures, 4 labels V2: Figure resolution improved, typos corrected V3: conclusions supplemented, submitted to PRD V4: Technical error corrected (see footnote 26). No change to our main points and conclusions
发表信息：
Phys.Rev.D78:043528,2008; Phys.Rev.D80:129903,2009
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摘要：

我们评估未来的数据集区分不同的精髓暗能量模型的能力。这种方法提供了一种替代措施，用于评估未来实验的影响，相比之下，大量的文献比较实验在抽象的参数空间和最近的工作，评估约束力的实验对个别参数空间的特定的精髓模型。我们使用未来数据集的暗能量任务组（DETF）模型，并比较由DETF指定为阶段2，3和4的实验的区分能力。我们的工作揭示了在比较第三阶段和第二阶段时，辨别力的最小增加，但是在进入第四阶段时，辨别力有了非常惊人的增加。我们还看到证据表明，即使在DETF第4阶段的适度改进也可能导致在精华暗能量模型中具有更显着的区分能力。我们开发和演示的技术，使用独立测量模式的状态方程作为一个共同的参数空间，在其中比较不同的精髓模型，我们认为，这种技术是一个强大的。我们使用PNGB，指数，Albrecht-Skordis和逆跟踪器（或逆幂律）模型进行这项工作。我们的主要结果之一是，区分这些模型的目标是对未来暗能量实验能力的具体衡量。实验必须比DETF第4阶段的模拟实验更好，以完全满足这一目标。

英文摘要：

We evaluate the ability of future data sets to discriminate among different quintessence dark energy models. This approach gives an alternative measure for assessing the impact of future experiments, as compared with the large body of literature that compares experiments in abstract parameter spaces and more recent work that evaluates the constraining power of experiments on individual parameter spaces of specific quintessence models. We use the Dark Energy Task Force (DETF) models of future data sets, and compare the discriminative power of experiments designated by the DETF as Stages 2, 3, and 4. Our work reveals a minimal increase in discriminating power when comparing Stage 3 to Stage 2, but a very striking increase in discriminating power when going to Stage 4. We also see evidence that even modest improvements over DETF Stage 4 could result in even more dramatic discriminating power among quintessence dark energy models. We develop and demonstrate the technique of using the independently measured modes of the equation of state as a common parameter space in which to compare the different quintessence models, and we argue that this technique is a powerful one. We use the PNGB, Exponential, Albrecht-Skordis, and Inverse Tracker (or Inverse Power Law) quintessence models for this work. One of our main results is that the goal of discriminating among these models sets a concrete measure on the capabilities of future dark energy experiments. Experiments have to be somewhat better than DETF Stage 4 simulated experiments to fully meet this goal.

机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。

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