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arXiv 1909.05261astro-ph.COgr-qc
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修正引力下有偏示踪剂红移空间成簇的精确微扰方法

An accurate perturbative approach to redshift space clustering of biased tracers in modified gravity

Georgios Valogiannis, Rachel Bean, Alejandro Aviles

摘要:

我们扩展了尺度相关的高斯流模型(GSM)产生的各向异性红移空间的关联函数偏示踪剂在修改后的重力模型的分析预测。采用卷积拉格朗日微扰理论(CLPT)再求和方案,与局部拉格朗日偏置模式提供的峰值背景分裂形式主义,我们预测的必要成分,进入GSM,实空间晕成对速度和成对速度色散。我们进一步考虑了有效场论对成对速度色散的贡献,以正确地模拟其大尺度行为。我们将我们的方法应用于两个广泛考虑的修改后的重力模型,变色龙屏蔽的f(R)Hu-Sawicki模型和nDGP Vainshtein模型,并将我们的预测与这些模型的最先进的N体模拟进行比较。我们表明,GSM的方法来预测的红移空间关联函数晕的四极子和四极子,给出了非常好的协议与模拟数据,为广泛的屏蔽机制,屏蔽和晕质量在z=0.5和z=1的水平。我们的工作表明GSM的适用性,超越GR的宇宙学,表明它可以作为一个强大的预测工具,为下一阶段的宇宙学调查,如DESI,欧几里得,LSST和WFIRST。

英文摘要:

We extend the scale-dependent Gaussian Streaming Model (GSM) to produce analytical predictions for the anisotropic redshift-space correlation function for biased tracers in modified gravity models. Employing the Convolution Lagrangian Perturbation Theory (CLPT) re-summation scheme, with a local Lagrangian bias schema provided by the peak-background split formalism, we predict the necessary ingredients that enter the GSM, the real-space halo pairwise velocity and the pairwise velocity dispersion. We further consider effective field theory contributions to the pairwise velocity dispersion in order to model correctly its large scale behavior. We apply our method on two widely-considered modified gravity models, the chameleon-screened f(R) Hu-Sawicki model and the nDGP Vainshtein model and compare our predictions against state-of-the-art N-body simulations for these models. We demonstrate that the GSM approach to predict the monopole and the quadrupole of the redshift-space correlation function for halos, gives very good agreement with the simulation data, for a wide range of screening mechanisms, levels of screening and halo masses at z=0.5 and z=1. Our work shows the applicability of the GSM, for cosmologies beyond GR, demonstrating that it can serve as a powerful predictive tool for the next stage of cosmological surveys like DESI, Euclid, LSST and WFIRST.

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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