scispace - formally typeset
Open AccessJournal ArticleDOI

Halo assembly bias and the tidal anisotropy of the local halo environment

Reads0
Chats0
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

Citations
More filters
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.
Journal ArticleDOI

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.
Journal ArticleDOI

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
More filters
Journal ArticleDOI

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.
Journal ArticleDOI

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.
Journal ArticleDOI

Elucid—exploring the local universe with reconstructed initial density field. iii. constrained simulation in the sdss volume

TL;DR: In this paper, a high-resolution N-body constrained simulation (CS) of the reconstructed initial conditions, with 3072(3) particles evolved in a 500 h(-1) Mpc box, is carried out and analyzed in terms of the statistical properties of the final density field and its relation with the distribution of Sloan Digital Sky Survey galaxies.
Related Papers (5)