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• W2024582548 startingPage "155" @default.
• W2024582548 abstract "We have quantified the degree of nonlinearity and stochasticity of the clustering of biased objects using cosmological |$N$|-body simulations. Adopting the peaks and the halos as representative biasing models, we focused on the two-point correlation of the biased objects, dark matter and their cross-correlation. Especially, we took account of the effect of redshift-space distortion and attempted to clarify the scale dependence and the time dependence by analyzing the biasing factor and the cross-correlation factor. On small scales, stochasticity and nonlinearity become appreciable and strongly object-dependent, especially in redshift space due to the pair-wise velocity dispersion of the biased objects. Nevertheless, an approximation of deterministic linear biasing, |$delta_mathrm{obj}simeq b_mathrm{obj} delta_mathrm{mass}$|⁠, works reasonably well even in the quasi-linear regime, |$r gtrsim 10,h^{-1} textrm{Mpc}$|⁠, and linear redshift-space distortion explains the clustering amplitudes in redshift space in this regime." @default.
• W2024582548 created "2016-06-24" @default.
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• W2024582548 date "2001-04-25" @default.
• W2024582548 modified "2023-10-14" @default.
• W2024582548 title "Nonlinear Stochastic Biasing of Peaks and Halos: Scale-Dependence, Time-Evolution, and Redshift-Space Distortion from CosmologicalN-body Simulations" @default.
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• W2024582548 doi "https://doi.org/10.1093/pasj/53.2.155" @default.
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