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Universal predictions of screened modified gravity on cluster scales

机译:聚类尺度上筛选修正重力的普遍预测

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Modified gravity models require a screening mechanism to be able to evade the stringent constraints from local gravity experiments and, at the same time, give rise to observable astrophysical and cosmological signatures. Such screened modified gravity models necessarily have dynamics determined by complex nonlinear equations that usually need to be solved on a model-by-model basis to produce predictions. This makes testing them a cumbersome process. In this paper, we investigate whether there is a common signature for all the different models that is suitable to testing them on cluster scales. To do this we propose an observable related to the fifth force, which can be observationally related to the ratio of dynamical-to-lensing mass of a halo, and then show that the predictions for this observable can be rescaled to a near universal form for a large class of modified gravity models. We demonstrate this using the Hu-Sawicki f(R), the Symmetron, the nDGP, and the Dilaton models, as well as unifying parametrizations. The universal form is determined by only three quantities: a strength, a mass, and a width parameter. We also show how these parameters can be derived from a specific theory. This self-similarity in the predictions can hopefully be used to search for signatures of modified gravity on cluster scales in a model-independent way.
机译:修改后的重力模型需要一种筛选机制,以能够逃避局部重力实验的严格限制,同时产生可观测的天体物理学和宇宙学特征。这种经过筛选的修正重力模型必须具有由复杂的非线性方程式确定的动力学,通常需要在逐个模型的基础上对其进行求解以产生预测。这使得测试它们很麻烦。在本文中,我们调查了所有不同模型是否都具有一个通用签名,适合在聚类规模上对其进行测试。为此,我们提出了一个与第五种力有关的观测值,该观测值可以与光环的动态透镜与镜头质量之比相关,然后证明该观测值的预测可以重新缩放为接近一大类改良的重力模型。我们使用Hu-Sawicki f(R),Symmetron,nDGP和Dilaton模型以及统一的参数化论证了这一点。通用形式仅由三个量确定:强度,质量和宽度参数。我们还将展示如何从特定理论中导出这些参数。预测中的这种自相似性有望用于以与模型无关的方式在聚类尺度上搜索修正重力的签名。

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