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Analytical halo models of cosmic tidal fields

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TLDR
In this article, an analytical (halo model) formalism was developed to describe the tidal field of anisotropic halo-centric density distributions, as characterised by the halocentric tidal tensor.
Abstract
The non-linear cosmic web environment of dark matter haloes plays a major role in shaping their growth and evolution, and potentially also affects the galaxies that reside in them. We develop an analytical (halo model) formalism to describe the tidal field of anisotropic halo-centric density distributions, as characterised by the halo-centric tidal tensor $\langle T_{ij} \rangle(<R)$ spherically averaged on scale $R\sim4R_{\rm vir}$ for haloes of virial radius $R_{\rm vir}$. We focus on axisymmetric anisotropies, which allows us to explore simple and intuitive toy models of (sub)halo configurations that exemplify some of the most interesting anisotropies in the cosmic web. We build our models around the spherical Navarro-Frenk-White (NFW) profile after describing it as a Gaussian mixture, which leads to almost fully analytical expressions for the `tidal anisotropy' scalar $\alpha(<4R_{\rm vir})$ extracted from the tidal tensor. Our axisymmetric examples include (i) a spherical halo at the axis of a cylindrical filament, (ii) an off-centred satellite in a spherical host halo and (iii) an axisymmetric halo. Using these, we demonstrate several interesting results. For example, the tidal tensor at the axis of a pure cylindrical filament gives $\alpha^{\rm (fil)}(<R)=1/2$ exactly, for any $R$. Also, $\alpha(<4R_{\rm vir,sat})$ for a satellite of radius $R_{\rm vir,sat}$ as a function of its host-centric distance is a sensitive probe of dynamical mass loss of the satellite in its host environment. Finally, we discuss a number of potentially interesting extensions and applications of our formalism that can deepen our understanding of the multi-scale phenomenology of the cosmic web.

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Dissecting and modelling galaxy assembly bias

TL;DR: In this paper, a semi-analytic galaxy formation model was proposed to study the individual contributions of different secondary halo properties to the GAB signal, and the results showed that commonly used properties like the halo age or concentration amount to only 20-30% of the signal, while the smoothed matter density or the tidal anisotropy can explain the full level of GAB.
Journal ArticleDOI

The physical origins of low-mass spin bias

TL;DR: In this paper, the authors measured the redshift evolution and scale dependence of halo spin bias at the low-mass end and demonstrated that the inversion of the signal is entirely produced by the effect of splashback haloes.
Journal ArticleDOI

Separate Universe calibration of the dependence of halo bias on cosmic web anisotropy

TL;DR: In this article, the authors use the Separate Universe technique to calibrate the dependence of linear and quadratic halo bias on the local cosmic web environment of dark matter haloes by measuring the response of halo abundances at fixed mass and cosmic web tidal anisotropy $\alpha$ to an infinite wavelength initial perturbation.
Journal ArticleDOI

On the kinetic Sunyaev-Zel'dovich effect as an observational probe for halo spin bias

TL;DR: In this paper, the potential of the kinetic Sunyaev-Zel'dovich (kSZ) effect as the cornerstone of a future observational probe for halo spin bias was explored.
Journal ArticleDOI

An excursion set model of the cosmic web: The abundance of sheets, filaments and halos

TL;DR: In this article, an analytic approach for modeling structure formation in sheets, filaments and knots is proposed, which combines models of triaxial collapse with the excursion set approach.
References
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Journal ArticleDOI

Matplotlib: A 2D Graphics Environment

TL;DR: Matplotlib is a 2D graphics package used for Python for application development, interactive scripting, and publication-quality image generation across user interfaces and operating systems.
Journal ArticleDOI

SciPy 1.0--Fundamental Algorithms for Scientific Computing in Python

TL;DR: SciPy as discussed by the authors is an open source scientific computing library for the Python programming language, which includes functionality spanning clustering, Fourier transforms, integration, interpolation, file I/O, linear algebra, image processing, orthogonal distance regression, minimization algorithms, signal processing, sparse matrix handling, computational geometry, and statistics.
Journal ArticleDOI

A Universal Density Profile from Hierarchical Clustering

TL;DR: In this article, the authors used high-resolution N-body simulations to study the equilibrium density profiles of dark matter halos in hierarchically clustering universes, and they found that all such profiles have the same shape, independent of the halo mass, the initial density fluctuation spectrum, and the values of the cosmological parameters.
Journal ArticleDOI

The NumPy Array: A Structure for Efficient Numerical Computation

TL;DR: In this article, the authors show how to improve the performance of NumPy arrays through vectorizing calculations, avoiding copying data in memory, and minimizing operation counts, which is a technique similar to the one described in this paper.
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