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GALAXY CLUSTERS IN HUBBLE VOLUME SIMULATIONS: COSMOLOGICAL CONSTRAINTS FROM SKY SURVEY POPULATIONS

机译:体积模拟中的银河聚类:来自天空调查人群的宇宙学约束

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We use gigaparticle N-body simulations to study galaxy cluster populations in Hubble volumes of ΛCDM (Ω_m = 0.3, Ω_Λ= 0.7) and τCDM (Ω_m = 1) world models. Mapping past light cones of locations in the computational space, we create mock sky surveys of dark matter structure to z approx= 1.4 over 10,000 deg~2 and to z approx= 0.5 over two full spheres. Calibrating the Jenkins mass function at z = 0 with samples of ~1.5 million clusters, we show that the fit describes the sky survey counts to approx< 20% accuracy over all redshifts for systems more massive than poor galaxy groups (5 x 10~(13) h~(-1) solar mass). Fitting the observed local temperature function determines the ratio β of specific thermal energies in dark matter and intracluster gas. We derive a scaling with power spectrum normalization β∝ σ_8~(5/3) and find that the ΛCDM model requires σ_8 = 1.04 to match β = 1.17 derived from gasdynamic cluster simulations. We estimate a 10% overall systematic uncertainty in 襙8, 4% arising from cosmic variance in the local sample and the bulk from uncertainty in the absolute mass scale of clusters. Considering distant clusters, the ΛCDM model matches Extended Medium-Sensitivity Survey and ROSAT Deep Cluster Survey X-ray-selected observations under economical assumptions for intracluster gas evolution. Using transformations of mass-limited cluster samples that mimic σ_8 variation, we explore Sunyaev-Zeldovich (SZ) search expectations for a 10 deg~2 survey complete above 10~(14) h~(-1) solar mass. Cluster counts are shown to be extremely sensitive to σ_8 uncertainty, while redshift statistics, such as the sample median, are much more stable. Redshift information is crucial to extract the full cosmological diagnostic power of SZ cluster surveys. For ΛCDM, the characteristic temperature at a fixed sky surface density is a weak function of redshift, implying an abundance of hot clusters at z > 1. Assuming constant β, one 8 keV cluster at z > 2 and 10 5 keV clusters at z > 3 are expected in the Sloan Digital Sky Survey area. Too many such clusters can falsify the model; detection of clusters more massive than Coma at z > 1 violates ΛCDM at 95% confidence if their surface density exceeds 0.003 deg~(-2), or 120 on the whole sky.
机译:我们使用千兆颗粒N体模拟来研究ΛCDM(Ω_m= 0.3,Ω_Λ= 0.7)和τCDM(Ω_m= 1)世界模型的哈勃体积中的银河星团种群。通过映射计算空间中位置的光锥,我们创建了暗物质结构的模拟天空测量,其在10,000 deg〜2上的z约等于1.4,在两个完整球体上的z约等于0.5。用约150万个星团的样本对z = 0处的詹金斯质量函数进行校准,我们显示该拟合描述了对于比质量较差的星系组更大的系统(5 x 10〜( 13)h〜(-1)太阳质量)。拟合观察到的局部温度函数可以确定暗物质和团簇内气体中特定热能的比率β。我们用功率谱归一化β∝σ_8〜(5/3)得出比例,并发现ΛCDM模型需要σ_8= 1.04才能匹配从气体动力集群模拟得出的β= 1.17。我们估计在襙8中有10%的整体系统不确定性,其中4%是由局部样本中的宇宙方差引起的,而大部分是由簇的绝对质量尺度的不确定性引起的。考虑到较远的星团,ΛCDM模型在经济性假设下与扩展的中敏感度调查和ROSAT深星团调查X射线选择的观测值相匹配,以进行群内气体演化。利用模拟σ_8变化的质量有限簇样本的变换,我们探索了在10〜(14)h〜(-1)太阳质量以上完成10 deg〜2的调查的Sunyaev-Zeldovich(SZ)搜索期望。聚类计数对σ_8不确定度极为敏感,而红移统计信息(例如样本中位数)则更加稳定。红移信息对于提取SZ群集调查的完整宇宙学诊断能力至关重要。对于ΛCDM,固定天空表面密度下的特征温度是红移的弱函数,这意味着在z> 1时有大量的热簇。假设β为常数,则z> 2时有一个8 keV簇,在z> 1时有10 5 keV簇。 Sloan Digital Sky Survey区域预计会有3个。太多这样的集群会伪造模型。如果在z> 1时检测到比彗星更大的星团,则其表面密度超过0.003 deg〜(-2)或在整个天空中超过120时,将以95%置信度违反ΛCDM。

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