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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.

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Citations
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Journal ArticleDOI

How does the cosmic web impact assembly bias

TL;DR: In this article, the mass, accretion rate, and formation time of dark matter halos near protofilaments are analytically predicted using a conditional version of the excursion set approach in its so-called upcrossing approximation.
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Cosmic web anisotropy is the primary indicator of halo assembly bias

TL;DR: In this paper, it was shown that the internal properties of dark matter haloes correlate with the large-scale halo clustering strength at fixed halo mass, and are also strongly affected by the local, non-linear cosmic web.
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The three causes of low-mass assembly bias

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Efficient computation of galaxy bias with neutrinos and other relics

TL;DR: ReliefFast as discussed by the authors finds that the bias induced by light relics partially compensates the suppression of power, and should be accounted for in any search for relics with galaxy data, at little computational cost.
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The multidimensional dependence of halo bias in the eye of a machine: a tale of halo structure, assembly, and environment

TL;DR: In this article, the bias is a multivariate function of halo properties that falls into three regimes: early-forming, low-mass and late-forming haloes, and the bias depends sensitively on the recent mass accretion history.
References
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Journal ArticleDOI

The Rockstar Phase-Space Temporal Halo Finder and the Velocity Offsets of Cluster Cores

TL;DR: In this paper, the authors present a new algorithm for identifying dark matter halos, substructure, and tidal features based on adaptive hierarchical refinement of friends-of-friends groups in six phase-space dimensions and one time dimension.
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The age dependence of halo clustering

TL;DR: In this article, the authors used a very large simulation of the concordance Λ cold dark matter cosmogony to study the clustering of dark matter haloes, and they found that haloes that assembled at high redshift are substantially more clustered than those that assembled more recently.
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Multi-scale initial conditions for cosmological simulations

TL;DR: In this paper, an adaptive convolution of Gaussian white noise with a real-space transfer function kernel together with an adaptive multi-grid Poisson solver is used to generate displacements and velocities following first- or second-order Lagrangian perturbation theory (2LPT).
Journal ArticleDOI

The Dependence of Halo Clustering on Halo Formation History, Concentration, and Occupation

TL;DR: In this paper, the dependence of dark matter halo clustering on halo formation time, density profile concentration, and subhalo occupation number was investigated using high-resolution numerical simulations of a?CDM cosmology.
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Properties of dark matter haloes in clusters, filaments, sheets and voids

TL;DR: In this article, the formation histories, shapes and angular momenta of dark-matter halos depend on the environment, and a classification scheme was proposed to distinguish haloes in clusters, filaments, sheets and voids in the large-scale distribution of matter.
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