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首页> 外文期刊>The Astrophysical journal >Nonlinear Stochastic Biasing of Galaxies and Dark Halos in Cosmological Hydrodynamic Simulations
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Nonlinear Stochastic Biasing of Galaxies and Dark Halos in Cosmological Hydrodynamic Simulations

机译:宇宙流体力学模拟中的星系和暗晕的非线性随机偏置

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We perform an extensive analysis of nonlinear and stochastic biasing of galaxies and dark halos in a spatially flat, low-density cold dark matter universe (Ω0 = 0.3, λ0 = 0.7, h = 0.7, and σ8 = 1) using cosmological hydrodynamic simulations. We identify galaxies by linking cold and dense gas particles that satisfy the Jeans criterion. We compare their biasing properties with the predictions of an analytic halo biasing model. Dark halos in our simulations exhibit reasonable agreement with the predictions only on scales larger than ~10 h-1 Mpc; on smaller scales, the volume exclusion effect of halos due to their finite size becomes substantial. Interestingly, the biasing properties of galaxies are better described by extrapolating the halo biasing model predictions. The clustering amplitudes of galaxies are almost independent of the redshift between z = 0 and 3, as reported in previous simulations. This in turn leads to a rapidly evolving biasing factor; we find that bcov 1 at redshift z 0 and bcov 3-4 at z = 3, where bcov is a biasing parameter defined from the linear regression of galaxy and dark matter density fields. Those values are consistent with the observed clustering of Lyman break galaxies. We also find the clear dependence of galaxy biasing on formation epoch; the distribution of old populations of galaxies tightly correlates with the underlying mass density field while that of young populations is slightly more stochastic and antibiased relative to dark matter. The amplitude of the two-point correlation function of old populations is about 3 times larger than that of young populations. Furthermore, the old population of galaxies resides within massive dark halos while the young galaxies are preferentially formed in smaller dark halos. Assuming that the observed early- and late-type galaxies correspond to the simulated old and young populations of galaxies, respectively, all of these segregations of galaxies are consistent with observational ones for early- and late-type galaxies such as, e.g., the morphology-density relation of galaxies.
机译:我们使用宇宙流体力学模拟在空间平坦的低密度冷暗物质宇宙(Ω0= 0.3,λ0= 0.7,h = 0.7和σ8= 1)中对星系和暗晕的非线性和随机偏见进行了广泛的分析。我们通过链接满足Jeans准则的冷气体和致密气体粒子来识别星系。我们将它们的偏置特性与解析晕轮偏置模型的预测进行比较。我们的模拟中的暗晕仅在大于约10 h-1 Mpc的尺度上才显示出与预测合理的一致性。在较小的规模上,由于光环的有限大小,其体积排斥效应变得很明显。有趣的是,通过推断晕圈偏向模型的预测,可以更好地描述星系的偏向特性。正如先前的模拟所报道的,星系的聚集幅度几乎与z = 0和3之间的红移无关。反过来,这导致了迅速发展的偏见因素。我们发现在红移z 0处的bcov 1和在z = 3处的bcov 3-4,其中bcov是根据星系和暗物质密度场的线性回归定义的偏置参数。这些值与观察到的莱曼断裂星系团簇一致。我们还发现星系偏见对形成时代的明确依赖性;相对于暗物质,老星系的分布与潜在的质量密度场紧密相关,而年轻星系的分布则随机性和抗偏性更高。老年人口的两点相关函数的幅度大约是年轻人口的三倍。此外,老的星系居住在巨大的暗晕中,而年轻的星系则优先形成在较小的暗晕中。假设观察到的早期和晚期星系分别对应于模拟的老星系和年轻星系,那么所有这些星系的分离都与观察到的早期和晚期星系(例如形态)一致星系的密度关系。

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