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arXiv 2407.01668astro-ph.COastro-ph.GA
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基于全物理模拟的修改引力下的星系成团性 I:两点相关函数

Galaxy clustering in modified gravity from full-physics simulations. I: two-point correlation functions

Durham University(杜伦大学)

Michael Collier, Sownak Bose, Baojiu Li

AI总结:

本研究利用重新校准子网格物理的f(R)引力大体积星系形成模拟,发现亮红星系成团信号不随第五力强度单调变化,而发射线星系的该现象可由第五力时间演化解释,弱f(R)模型也能被强约束,凸显流体模拟在引力检验中的关键作用。

摘要:

我们基于一套全新的、真实的大体积f(R)引力星系形成模拟,对星系成团性开展了深入研究,其中的子网格物理模型经过重新校准,可复现多种观测到的恒星和气体性质。我们重点研究了亮红星系(LRGs)和发射线星系(ELGs)的两点相关函数,这两类星系是DESI等当前及未来星系巡天的主要观测目标。一个出人意料的结果是,由于修改引力对物质成团性和星系-晕联系存在若干非平凡效应,成团信号并不随第五力强度单调变化。对于亮红星系(LRGs)而言,这种复杂行为对该模型的有效约束构成了挑战。与之相反,对于发射线星系(ELGs),这一现象可通过第五力的时间演化直接解释:这意味着较弱的f(R)模型与最强的f(R)模型相比,可表现出幅度相近(最高达25%)的相对于ΛCDM模型的偏离,只是出现在更低的红移处。这表明即使是非常弱的f(R)模型也能被强力约束,这与大多数其他观测手段的情况不同。我们的结果显示,在f(R)引力中,星系形成具有显著的环境依赖性;若未被恰当考虑,可能导致对该模型的约束出现偏差。这凸显了在未来利用DESI和Euclid等项目的高精度星系成团数据开展引力检验的研究中,流体动力学模拟的核心作用。

英文摘要:

We present an in-depth investigation of galaxy clustering based on a new suite of realistic large-box galaxy-formation simulations in $f(R)$ gravity, with a subgrid physics model that has been recalibrated to reproduce various observed stellar and gas properties. We focus on the two-point correlation functions of the luminous red galaxies (LRGs) and emission line galaxies (ELGs), which are primary targets of ongoing and future galaxy surveys such as DESI. One surprising result is that, due to several nontrivial effects of modified gravity on matter clustering and the galaxy-halo connection, the clustering signal does not depend monotonically on the fifth-force strength. For LRGs this complicated behaviour poses a challenge to meaningfully constraining this model. For ELGs, in contrast, this can be straightforwardly explained by the time evolution of the fifth force, which means that weaker $f(R)$ models can display nearly the same -- up to $25\%$ -- deviations from $Λ$CDM as the strongest ones, albeit at lower redshifts. This implies that even very weak $f(R)$ models can be strongly constrained, unlike with most other observations. Our results show that galaxy formation acquires a significant environment dependence in $f(R)$ gravity which, if not properly accounted for, may lead to biased constraints on the model. This highlights the essential role of hydrodynamical simulations in future tests of gravity exploring precision galaxy-clustering data from the likes of DESI and Euclid.

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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