Baryonic post-processing of N -body simulations, with application to fast radio bursts
Baryonic post-processing of N -body simulations, with application to fast radio bursts
复制标题
N 体模拟的重子后处理，应用于快速射电爆发
DOI：
10.1093/mnras/stad293
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发表时间：
2023
影响因子：
4.8
通讯作者：
McQuinn, Matthew
中科院分区：
文献类型：
--
作者：
Williams, Ian M.;Khan, Adnan;McQuinn, Matthew
宇宙重子位于星系暗物质晕内部和周围的位置仅受到微弱的限制。我们开发了一种快速在模型上进行绘制以进行分布的方法。我们的方法利用了 N 体模拟的统计优势，同时以半解析模型或星系放大流体动力学模拟的方式绘制各个晕周围的气体轮廓。该算法的可能应用包括快速射电暴 (FRB) 的河外色散测量、Sunyaev-Zeldovich 效应、弱透镜效应的重子效应以及宇宙金属富集。作为初步应用，我们使用该工具来研究前景星系质量晕的重子剖面如何影响宇宙学快速射电暴的色散测量（DM）统计数据。我们表明，DM 的分布对星系晕中重子的分布很敏感，可行的气体剖面模型对于给定的红移具有显着不同的 DM 概率分布。我们还研究了快速射电暴分析中统计测量绕银河系电子剖面的要求，将DM与影响参数叠加到前景星系，量化相关系统中污染“双晕”项的大小以及高显着性检测的快速射电暴数量。公开可用的 python 模块实现了我们的 CGMBrush 算法。
Where the cosmic baryons lie in and around galactic dark matter haloes is only weakly constrained. We develop a method to quickly paint on models for their distribution. Our approach uses the statistical advantages ofN-body simulations, while painting on the profile of gas around individual haloes in ways that can be motivated by semi-analytic models or zoom-in hydrodynamic simulations of galaxies. Possible applications of the algorithm include extragalactic dispersion measures to fast radio bursts (FRBs), the Sunyaev–Zeldovich effect, baryonic effects on weak lensing, and cosmic metal enrichment. As an initial application, we use this tool to investigate how the baryonic profile of foreground galactic-mass haloes affects the statistics of the dispersion measure (DM) towards cosmological FRBs. We show that the distribution of DM is sensitive to the distribution of baryons in galactic haloes, with viable gas profile models having significantly different probability distributions for DM to a given redshift. We also investigate the requirements to statistically measure the circumgalactic electron profile for FRB analyses that stack DM with impact parameter to foreground galaxies, quantifying the size of the contaminating ‘two-halo’ term from correlated systems and the number of FRBs for a high significance detection. Publicly availablepythonmodules implement ourCGMBrushalgorithm.