Halo assembly bias and the tidal anisotropy of the local halo environment
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TLDR
In this article, the role of the local tidal environment in determining the assembly bias of dark matter haloes was studied, using correlations between the large-scale and small-scale environments of simulated haloes at z = 0 with masses between 10^11.6 and 10^14.9.Abstract:
We study the role of the local tidal environment in determining the assembly bias of dark matter haloes. Previous results suggest that the anisotropy of a halo's environment (i.e. whether it lies in a filament or in a more isotropic region) can play a significant role in determining the eventual mass and age of the halo. We statistically isolate this effect, using correlations between the large-scale and small-scale environments of simulated haloes at z = 0 with masses between 10^11.6 ≲ (m/h^−1 M_⊙) ≲ 10^14.9. We probe the large-scale environment, using a novel halo-by-halo estimator of linear bias. For the small-scale environment, we identify a variable α_R that captures the tidal anisotropy in a region of radius R = 4R_200b around the halo and correlates strongly with halo bias at fixed mass. Segregating haloes by α_R reveals two distinct populations. Haloes in highly isotropic local environments (α_R ≲ 0.2) behave as expected from the simplest, spherically averaged analytical models of structure formation, showing a negative correlation between their concentration and large-scale bias at all masses. In contrast, haloes in anisotropic, filament-like environments (α_R ≳ 0.5) tend to show a positive correlation between bias and concentration at any mass. Our multiscale analysis cleanly demonstrates how the overall assembly bias trend across halo mass emerges as an average over these different halo populations, and provides valuable insights towards building analytical models that correctly incorporate assembly bias. We also discuss potential implications for the nature and detectability of galaxy assembly bias.read more
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References
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Assembly bias and the dynamical structure of dark matter halos
TL;DR: In this article, the authors examine assembly bias for the halo properties: shape, triaxiality, concentration, spin, shape of the velocity ellipsoid, and velocity anisotropy.
Journal ArticleDOI
On the Level of Cluster Assembly Bias in SDSS
TL;DR: In this paper, a new variant of the average membership distance estimator was proposed, which is more robust against projection effects in the cluster membership identification, and it was shown that the bias ratio between two ℓ-split subsamples should be at least 60% weaker than the maximum halo assembly bias signal (1.24) when split by halo concentration.
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On Detecting Halo Assembly Bias with Galaxy Populations
Yen-Ting Lin,Rachel Mandelbaum,Yun Hsin Huang,Yun Hsin Huang,Hung Jin Huang,Hung Jin Huang,Hung Jin Huang,Neal Dalal,Benedikt Diemer,Benedikt Diemer,Hung-Yu Jian,Hung-Yu Jian,Andrey V. Kravtsov +12 more
TL;DR: In this paper, the authors use formation time indicators of central galaxies in low-mass halos as a proxy for the halo formation history, and detect the signature of assembly bias observationally.
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Environmental dependence in the ellipsoidal collapse model
TL;DR: In this article, the authors explore the statistical correlation that originates from Gaussian initial conditions and derive analytic expressions for a number of joint statistics of the shear tensor and estimate the sensitivity of the local characteristics of a collapsing halo to the global geometry of the large-scale environment.
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Elucid—exploring the local universe with reconstructed initial density field. iii. constrained simulation in the sdss volume
Huiyuan Wang,Houjun Mo,Houjun Mo,Xiaohu Yang,Youcai Zhang,Jingjing Shi,Jingjing Shi,Yipeng Jing,Chengze Liu,Shijie Li,Xi Kang,Yang Gao +11 more
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