文章基本信息

标题：The biasing phenomenon
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作者：J. Einasto ; L. J. Liivamägi ; I. Suhhonenko 等
期刊名称：Astronomy & Astrophysics
印刷版ISSN：0004-6361
电子版ISSN：1432-0746
出版年度：2019
卷号：630
页码：1-21
DOI：10.1051/0004-6361/201936054
语种：English
出版社：EDP Sciences
摘要：Context. We study biasing as a physical phenomenon by analysing geometrical and clustering properties of density fields of matter and galaxies.Aims.Our goal is to determine the bias function using a combination of geometrical and power spectrum analyses of simulated and real data.Methods. We apply an algorithm based on the local densities of particles,δ, to form simulated, biased models using particles withδ ≥ δ0. We calculate the bias function of model samples as functions of the particle-density limitδ0. We compare the biased models with Sloan Digital Sky Survey (SDSS) luminosity-limited samples of galaxies using the extended percolation method. We find density limitsδ0of biased models that correspond to luminosity-limited SDSS samples.Results. The power spectra of biased model samples allow estimation of the bias functionb(>L) of galaxies of luminosityL. We find the estimated bias parameter ofL*galaxies,b* = 1.85 ± 0.15.Conclusions. The absence of galaxy formation in low-density regions of the Universe is the dominant factor of the biasing phenomenon. The second-largest effect is the dependence of the bias function on the luminosity of galaxies. Variations in gravitational and physical processes during the formation and evolution of galaxies have the smallest influence on the bias function.
关键词：enlarge-scale structure of Universedark mattercosmology: theorygalaxies: clusters: generalmethods: numerical