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TESTING GRAVITY USING THE GROWTH OF LARGE-SCALE STRUCTURE IN THE UNIVERSE

机译:使用宇宙中大规模结构的生长测试重力

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Future galaxy surveys hope to distinguish between the dark energy and modified gravity scenarios for the accelerating expansion of the universe using the distortion of clustering in redshift space. The aim is to model the form and size of the distortion to infer the rate at which large-scale structure grows. We test this hypothesis and assess the performance of current theoretical models for the redshift space distortion using large volume N-body simulations of the gravitational instability process. We simulate competing cosmological models which have identical expansion histories—one is a quintessence dark energy model with a scalar field and the other is a modified gravity model with a time-varying gravitational constant—and demonstrate that they do indeed produce different redshift space distortions. This is the first time that this approach has been verified using a technique that can follow the growth of structure at the required level of accuracy. Our comparisons show that theoretical models for the redshift space distortion based on linear perturbation theory give a surprisingly poor description of the simulation results. Furthermore, the application of such models can give rise to catastrophic systematic errors leading to incorrect interpretation of the observations. We show that an improved model is able to extract the correct growth rate. Further enhancements to theoretical models of redshift space distortions, calibrated against simulations, are needed to fully exploit the forthcoming high-precision clustering measurements.
机译:未来的Galaxy调查希望利用红移空间中的聚类失真来区分暗能和改进的重力方案,以便使用群集的群体的扭曲来加速宇宙的扩展。目的是模拟变形的形式和大小,以推断大规模结构增长的速率。我们测试了这个假设,并评估了使用大卷N体模拟的重力不稳定过程的红移空间变形的当前理论模型的性能。我们模拟具有相同伸展历史的竞争宇宙学模型 - 一个是具有标量场的Quintessence暗能模型,另一个是具有时变的重力常数的修改的重力模型 - 并且证明它们确实产生了不同的红移空间扭曲。这是第一次使用能够以所需的精度水平遵循结构的增长,首次验证了这种方法。我们的比较表明,基于线性扰动理论的红移空间变形的理论模型给出了模拟结果的令人惊讶的描述。此外,这种模型的应用可以产生灾难性的系统误差,导致对观察结果的解释不正确。我们表明改进的模型能够提取正确的增长率。需要进一步增强对仿真校准的红移空间扭曲的理论模型,以充分利用即将到来的高精度聚类测量。

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