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arXiv 1301.0983astro-ph.COgr-qc
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暗能量模型的生长诊断和EUCLID预测

Growth Diagnostics for Dark Energy models and EUCLID forecast

Sampurnanand, Anjan A. Sen

摘要:

在这项工作中,我们引入了一组新的参数$(r_{g}, s_{g})$涉及的线性增长的物质扰动,可以区分和约束不同的暗能量模型非常有效。有趣的是,对于$Λ$ CDM模型,这些参数在所有红移处均采用精确值$(1,1)$,而对于与$Λ$ CDM不同的模型,它们在$(r_{g}, s_{g})$相平面中遵循不同的轨迹。通过考虑参数化的暗能量状态方程($w$)和线性增长率($f_{g}$),我们表明,不同的暗能量行为与类似的线性密度对比度的演变,可以产生可区分的轨迹在$(r_{g}, s_{g})$相平面。此外,人们可以使用未来的测量(如EUCLID)对这些相平面进行严格的限制,从而排除某些暗能量行为。

英文摘要:

In this work we introduce a new set of parameters $(r_{g}, s_{g})$ involving the linear growth of matter perturbation that can distinguish and constrain different dark energy models very efficiently. Interestingly, for $Λ$CDM model these parameters take exact value $(1,1)$ at all red shifts whereas for models different from $Λ$CDM, they follow different trajectories in the $(r_{g}, s_{g})$ phase plane. By considering the parametrization for the dark energy equation of state ($w$) and for the linear growth rate ($f_{g}$), we show that different dark energy behaviours with similar evolution of the linear density contrast, can produce distinguishable trajectories in the $(r_{g}, s_{g})$ phase plane. Moreover, one can put stringent constraint on these phase plane using future measurements like EUCLID ruling out some of the dark energy behaviours.

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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