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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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Journal ArticleDOI

The dependence of galaxy clustering on tidal environment in the Sloan Digital Sky Survey

TL;DR: In this article, the influence of the cosmic web on galaxy formation and evolution is investigated using the group catalog of Yang et al. and tidal field estimates at 2pcf scales from the Mass-Tides-Velocity data set of Wang et al., and the results suggest that if the tidal environment induces additional effects on galaxy properties other than those inherited from their host halos then these must be weak.
Journal ArticleDOI

Caught in the cosmic web: Environmental effect on halo concentrations, shape, and spin

TL;DR: In this article, a set of high-resolution simulations were used to study the statistical correlation of dark-matter halo properties with the large-scale environment, and they found that the fraction of halos living in various web components is a strong function of mass, with the majority of $Mg{10}^{12}{h}^{\ensuremath{-}1}\text{ }\text{ }, }{\mathrm{M}}_{\enuremath{\bigodot}}$ living in filaments and nodes.
Journal ArticleDOI

Pre-processing, group accretion, and the orbital trajectories of associated subhaloes

TL;DR: In this paper, the authors use a cosmological dark matter-only simulation to study the orbital trajectories of haloes and subhaloes in the environs of isolated hosts, and find that roughly 21 per cent of subhalos within a host's virial radius are currently on first infall, and have not yet reached their first orbital pericentre; roughly 44 per cent are still approaching their first apocentre after infall.
Journal ArticleDOI

Weighing neutrinos with the halo environment

TL;DR: In this paper, the authors demonstrate how the strength of neutrino signal can be substantially enhanced by using information about the halo environment at a range of scales, which is achieved by using certain combinations of the large scale Cold Dark Matter and total matter environments of halos, both of which are measurable from galaxy clustering and weak lensing surveys.
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BAM: bias assignment method to generate mock catalogues

TL;DR: The Bias Assignment Method (BAM) as discussed by the authors was proposed to generate mock catalogs by combining the statistics of dark matter tracers from a high resolution cosmological $N$-body simulation and the dark matter density field calculated from down-sampled initial conditions using efficient structure formation solvers.
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Efficient Computation of CMB anisotropies in closed FRW models

TL;DR: In this paper, an efficient line-of-sight method was used to calculate the anisotropy and polarization of the cosmic microwave background for scalar and tensor modes in almost-Friedmann-Robertson-Walker models with positive spatial curvature.
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