arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2110.00566astro-ph.CO
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通用修正重力的快速全$N$ -体模拟:导数耦合模型

Fast full $N$-body simulations of generic modified gravity: derivative coupling models

César Hernández-Aguayo, Cheng-Zong Ruan, Baojiu Li, Christian Arnold, Carlton M. Baugh, Anatoly Klypin, Francisco Prada

摘要:

我们提出了MG-GLAM,一个代码开发的非常快速的生产全$N$体宇宙学模拟在修改后的重力(MG)模型。我们描述的实施,数值试验和第一个结果的一个大套件的宇宙学模拟两大类的MG模型与衍生耦合项-Vainshtein和Kmouflage型模型-分别具有Vainshtein和Kmouflage筛选机制。MG-GLAM源自并行粒子-网格程序GLAM,采用高效的多重网格松弛技术来求解这些模型的特征非线性偏微分方程。对于Kmouflage,我们提出了一种新的松弛求解算法,并运行了模型的第一次模拟,以了解其宇宙学行为。在一个配套文件中,我们描述了这个代码的版本开发的共形耦合MG模型,包括几个变种的$f(R)$重力,EQUIRON模型和耦合的精髓。总而言之,MG-GLAM到目前为止已经实现了大多数MG模型的原型,并且广泛而通用。该代码是高度优化的,当与早期的$N$体代码比较其运行时间时,具有巨大的(超过两个数量级)加速,同时仍然给出物质功率谱和暗物质晕丰度的准确预测。MG-GLAM非常适合生成大量的MG模拟,这些模拟可用于构建模拟星系目录和精确的模拟器,用于正在进行的和未来的星系调查。

英文摘要:

We present MG-GLAM, a code developed for the very fast production of full $N$-body cosmological simulations in modified gravity (MG) models. We describe the implementation, numerical tests and first results of a large suite of cosmological simulations for two broad classes of MG models with derivative coupling terms -- the Vainshtein- and Kmouflage-type models -- which respectively features the Vainshtein and Kmouflage screening mechanism. Derived from the parallel particle-mesh code GLAM, MG-GLAM incorporates an efficient multigrid relaxation technique to solve the characteristic nonlinear partial differential equations of these models. For Kmouflage, we have proposed a new algorithm for the relaxation solver, and run the first simulations of the model to understand its cosmological behaviour. In a companion paper, we describe versions of this code developed for conformally-coupled MG models, including several variants of $f(R)$ gravity, the symmetron model and coupled quintessence. Altogether, MG-GLAM has so far implemented the prototypes for most MG models of interest, and is broad and versatile. The code is highly optimised, with a tremendous (over two orders of magnitude) speedup when comparing its running time with earlier $N$-body codes, while still giving accurate predictions of the matter power spectrum and dark matter halo abundance. MG-GLAM is ideal for the generation of large numbers of MG simulations that can be used in the construction of mock galaxy catalogues and accurate emulators for ongoing and future galaxy surveys.

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