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arXiv 0810.5388hep-thastro-phgr-qchep-ph
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用景观多元宇宙“倾斜”宇宙:“黑暗”流

'Tilting' the Universe with the Landscape Multiverse: The 'Dark' Flow

L. Mersini-Houghton, R. Holman

摘要:

从景观多重宇宙中选择宇宙初始状态的理论预测了超视界的不均匀性,这种不均匀性是由我们的哈勃体积与视界之外的模式和域的非局域纠缠引起的。在这里,我们表明,这些自然会产生一个整体流的相关长度的顺序地平线的大小。对引力势的修正具有一个特征标度$L_{1} \simeq 10^{3} H^{-1}$,它起源于暴胀前的景观残余。电势的“倾斜”将功率引入到最低的CMB多极,其中主要贡献是偶极,其次是四极。感应多极$l \le 2$与垂直于它们的对准平面的轴对准,所述对准平面沿着由偶极子确定的优选框架取向。优选方向由整体流相对于宇宙膨胀框架的速度场显示。的参数是严格约束的,因此派生的修改导致强大的预测测试我们的理论。Kashlinsky等人最近发现的“暗”流大约是$700 km/s$,这似乎与我们对$3 μK$级诱导偶极子的预测很一致。在这样的背景下,Kashlinsky等人对整体流的发现变得更加有趣,因为它可能为暴胀前的物理学提供一个探测,并为景观多元宇宙提供一个窗口。

英文摘要:

The theory for the selection of the initial state of the universe from the landscape multiverse predicts superhorizon inhomogeneities induced by nonlocal entanglement of our Hubble volume with modes and domains beyond the horizon. Here we show these naturally give rise to a bulk flow with correlation length of order horizon size. The modification to the gravitational potential has a characteristic scale $L_{1} \simeq 10^{3} H^{-1}$, and it originates from the preinflationary remnants of the landscape. The 'tilt' in the potential induces power to the lowest CMB multipoles, with the dominant contribution being the dipole and next, the quadrupole. The induced multipoles $l \le 2$ are aligned with an axis normal to their alignment plane being oriented along the preferred frame determined by the dipole. The preferred direction is displayed by the velocity field of the bulk flow relative to the expansion frame of the universe. The parameters are tightly constrained thus the derived modifications lead to robust predictions for testing our theory. The 'dark' flow was recently discovered by Kashlinsky et al. to be about $700 km/s$ which seems in good agreement with our predictions for the induced dipole of order $3 μK$. Placed in this context, the discovery of the bulk flow by Kashlinsky et al. becomes even more interesting as it may provide a probe of the preinflationary physics and a window onto the landscape multiverse.

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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