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arXiv 1901.01447astro-ph.CO
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用LOWZ星系测量SDSS-III重子振荡光谱巡天中的显著关联函数

Measurement of marked correlation functions in SDSS-III Baryon Oscillation Spectroscopic Survey using LOWZ galaxies in Data Release 12

Siddharth Satpathy, Rupert Croft, Shirley Ho, Baojiu Li

摘要:

标记关联函数对不同环境下的星系聚集敏感,已被提出作为修改后的重力模型的约束条件。利用斯隆数字巡天III(SDSS III)重子振荡光谱巡天(BOSS)数据发布12(DR 12)中的361,761个LOWZ($z_{\rm eff} = 0.32$)星系测量了星系在红移空间中的显着关联函数,并与$Λ$ CDM+广义相对论模拟结果进行了比较。我们应用质量削减找到最佳匹配的红移空间自相关函数的subhaloes在模拟和观测。然后,我们比较了标记的关联函数,发现没有显着的证据的偏差标记的关联函数的LOWZ星系从$Λ$ CDM尺度$6 \ h^{-1}$ Mpc $ \leq s \leq$ $69 \ h^{-1}$ Mpc。在我们的分析中,显着的关联函数的约束力是有限的,我们的能力,包括红移失真的影响,在小尺度上模拟星系的自相关函数。统计误差远低于最近出版物中$f$(R)重力模型和$Λ$ CDM的标记关联函数之间的差异(Armijo等人,Hernán-Aguayo等人)表明未来改进的理论分析应该能够明确地排除某些模型。

英文摘要:

Marked correlation functions, which are sensitive to the clustering of galaxies in different environments, have been proposed as constraints on modified gravity models. We present measurements of the marked correlation functions of galaxies in redshift space using 361,761 LOWZ ($z_{\rm eff} = 0.32$) galaxies from the Sloan Digital Sky Survey III (SDSS III) Baryon Oscillation Spectroscopic Survey (BOSS) Data Release 12 (DR12) and compare them to $Λ$CDM+General Relativity simulations. We apply mass cuts to find the best match between the redshift space autocorrelation function of subhaloes in the simulation and in the observations. We then compare the marked correlation functions, finding no significant evidence for deviations of the marked correlation functions of LOWZ galaxies from $Λ$CDM on scales $6 \ h^{-1}$Mpc $ \leq s \leq$ $69 \ h^{-1}$Mpc. The constraining power of marked correlation functions in our analysis is limited by our ability to model the autocorrelation function of galaxies on small scales including the effect of redshift distortions. The statistical errors are well below the differences seen between marked correlation functions of $f$(R) gravity models and $Λ$CDM in recent publications (Armijo et al., Hernández-Aguayo et al.) indicating that improved future theoretical analyses should be able to rule out some models definitively.

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