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arXiv 2109.08699astro-ph.CO
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用拉格朗日偏差形式和$N$体模拟方法模拟红移空间中的星系团

Modelling galaxy clustering in redshift space with a Lagrangian bias formalism and $N$-body simulations

Marcos Pellejero-Ibanez, Jens Stuecker, Raul E. Angulo, Matteo Zennaro, Sergio Contreras, Giovanni Arico

摘要:

改进小尺度星系团的理论描述是宇宙学的一个重要挑战,因为它可以大大增加即将到来的星系调查的科学回报-例如收紧中微子质量和偏离广义相对论的界限。在本文中,我们提出并测试了一个新的模型,能够准确地描述红移空间的扭曲,即使到小尺度的星系集群。该模型对应于一个二阶微扰拉格朗日偏置展开平流欧拉空间采用从$N$体模拟提取的位移场。欧拉坐标,然后转换到红移空间,直接采用模拟的速度场与滋扰参数捕获各种可能的卫星分数和内晕小尺度速度增强。我们量化的准确性,我们的方法对样品的物理动机模拟星系选择根据恒星质量(SM)或恒星形成率(SFR)在多个丰度和$z=0$和$1$。我们发现,我们的模型描述的银河系功率谱的四极,四极和十六极下降到$k\approx 0.6 [h/$ Mpc]的尺度内,我们的模拟精度。这种方法可以为显着增加从未来星系调查中提取的宇宙学信息量铺平道路。

英文摘要:

Improving the theoretical description of galaxy clustering on small scales is an important challenge in cosmology, as it can considerably increase the scientific return of forthcoming galaxy surveys -- e.g. tightening the bounds on neutrino masses and deviations from general relativity. In this paper, we propose and test a new model for the clustering of galaxies that is able to accurately describe redshift-space distortions even down to small scales. This model corresponds to a second-order perturbative Lagrangian bias expansion which is advected to Eulerian space employing a displacement field extracted from $N$-body simulations. Eulerian coordinates are then transformed into redshift space by directly employing simulated velocity fields augmented with nuisance parameters capturing various possible satellite fractions and intra-halo small-scale velocities. We quantify the accuracy of our approach against samples of physically-motivated mock galaxies selected according to either Stellar Mass (SM) or Star Formation Rate (SFR) at multiple abundances and at $z=0$ and $1$. We find our model describes the monopole, quadrupole, and hexadecapole of the galaxy-power spectra down to scales of $k\approx 0.6 [h/$Mpc] within the accuracy of our simulations. This approach could pave the way to significantly increase the amount of cosmological information to be extracted from future galaxy surveys.

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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