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Open AccessJournal ArticleDOI

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.
Journal ArticleDOI

The three causes of low-mass assembly bias

TL;DR: In this paper, the authors present a detailed analysis of the physical processes that cause halo assembly bias and show that splashback subhaloes are responsible for two thirds of the assembly bias signal, but do not account for the entire effect.
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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.
Journal ArticleDOI

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 Multiscale Morphology Filter: Identifying and Extracting Spatial Patterns in the Galaxy Distribution

TL;DR: In this article, a new method, MMF, is presented for automatically segmenting cosmic structure into its basic components: clusters, filaments, and walls, which is suited for extracting catalogues of clusters, walls, and filaments from samples of galaxies in redshift surveys or from particles in cosmological N-body simulations.
Journal ArticleDOI

A universal model for halo concentrations

TL;DR: In this paper, a numerical study of dark matter halo concentrations in Lambda$CDM and self-similar cosmologies is presented, where the authors show that the relation between concentration, $c$, and peak height, $nu$, exhibits the smallest deviations from universality if halo masses are defined with respect to the critical density of the universe.
Journal ArticleDOI

The Dependence of Dark Halo Clustering on Formation Epoch and Concentration Parameter

TL;DR: In this article, the age dependence of dark matter halo clustering at an unprecedented accuracy using a set of seven high-resolution cosmological simulations, each with N = 1024(3) particles.
Journal ArticleDOI

Understanding higher-order nonlocal halo bias at large scales by combining the power spectrum with the bispectrum

TL;DR: In this article, the relation between underlying matter distribution and galaxies (the galaxy bias problem) was studied, and a vast and compelling study of nonlocal and higher order contributions to dark matter halo bias was presented.
Journal ArticleDOI

Galaxy assembly bias: a significant source of systematic error in the galaxy–halo relationship

TL;DR: In this paper, the authors estimate the potential for assembly bias to induce systematic errors in inferred halo occupation statistics and conclude that the galaxy-halo relationship inferred from galaxy clustering should be subject to a non-negligible systematic error induced by assembly bias.
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