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GALAXY GROUPS, CDM/CHDM COSMOLOGIES, AND THE VALUE OF Ω_0

机译:银河族,CDM / CHDM宇宙学和Ω_0的值

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We present techniques for identifying and analyzing galaxy groups and apply them to large-scale particle-mesh (PM) N-body simulations of structure formation in three Ω_0 = 1 cosmological models: cold plus hot dark matter (CHDM), with Ω_(cold) = 0.6, Ω_v = 0.3, and Ω_(baryon) = 0.1 at bias b ≡ σ_8~(-1) = 1.5; and two cold dark matter (CDM) models, at bias b = 1.5 and b = 1.0. Groups are identified with the adaptive friends-of-friends algorithm of Nolthenius. Our most important conclusions follow. The standard group M/L method gives Ω_0 approx= 0.08 for the CfA1 survey (for redshift link parameter V_5 = 350), and, applied to our Ω_0 = 1 simulations, it gives Ω_0 approx= 0.12 for CHDM (V_5 = 350) and Ω_0 approx= 0.35 for CDM (V_5 = 600). This Ω bias appears to be even stronger at higher resolution. We show quantitatively how three different effects conspire to produce this large discrepancy, and we conclude that low observed Ω values need not argue for a low-Ω universe. Our preferred statistics of groups show promise in becoming powerful discriminators between Gaussian cosmological models, whose Ω_v differ and are robust against several methods for assigning luminosity to dark matter halos, and for merging CfA1 data. However, our latest results at higher resolution show such strong sensitivity to how massive overmergers are broken up that more reliable ways of identifying luminous galaxies within large-scale simulations will be necessary before these statistics can provide reliable discrimination. When overmergers are broken up, the median virial-to-DM mass M_(vir)/M_(DM) of three-dimensional-selected groups is ~ 1 for all simulations. Groups with M_(DM) > 10~(14) solar mass appear virialized in all simulations. We measure global (not pairwise) velocity biases b_v, similar to previous studies. Within three-dimensional-selected groups, CHDM and CDM with b = 1.5 show a stronger bias of b_v = 0.7-0.8, while CDM with b = 1.0 shows groups of b_v approx= 1.
机译:我们提出了用于识别和分析星系组的技术,并将其应用于三种Ω_0= 1宇宙学模型:冷加热暗物质(CHDM),其中Ω_(冷)的结构形成的大型粒子网(PM)N体模拟。 )= 0.6,Ω_v= 0.3,Ω_(重子)= 0.1,偏置b≡σ_8〜(-1)= 1.5;和两个冷暗物质(CDM)模型,偏差b = 1.5和b = 1.0。使用Nolthenius的自适应好友算法来识别组。我们最重要的结论如下。对于CfA1调查,标准组M / L方法得出Ω_0约= 0.08(对于红移链路参数V_5 = 350),应用于我们的Ω_0= 1模拟中,对于CHDM(V_5 = 350)得出Ω_0约= 0.12。对于CDM(V_5 = 600),Ω_0大约= 0.35。在更高的分辨率下,该Ω偏置似乎更强。我们定量显示了三种不同的影响如何共同造成这种巨大差异,并且得出结论,观察到的低Ω值不需要为低Ω宇宙辩护。我们的首选群体统计数据显示出有望成为区分高斯宇宙学模型的有力工具,这些模型的Ω_v不同,并且对于将光度分配给暗物质光晕以及合并CfA1数据的几种方法都具有较强的鲁棒性。但是,我们最新的高分辨率结果显示了对大规模并购案分解的高度敏感性,因此在这些统计数据可以提供可靠的判别之前,必须有更可靠的方法来识别大型模拟中的发光星系。当分拆合并时,在所有模拟中,三维选择组的病毒对DM质量中值M_(vir)/ M_(DM)为〜1。在所有模拟中,M_(DM)> 10〜(14)太阳质量的组都被病毒化。我们测量全局(不是成对的)速度偏差b_v,类似于先前的研究。在三维选择的组中,b = 1.5的CHDM和CDM显示b_v = 0.7-0.8的更强偏差,而b = 1.0的CDM显示b_v大约= 1的组。

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