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The Three Causes of Low-Mass Assembly Bias
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abstract
We present a detailed analysis of the physical processes that cause halo assembly bias -- the dependence of halo clustering on proxies of halo formation time. We focus on the origin of assembly bias in the mass range corresponding to the hosts of typical galaxies and use halo concentration as our chief proxy of halo formation time. We also repeat our key analyses across a broad range of halo masses and for alternative formation time definitions. We show that splashback subhaloes are responsible for two thirds of the assembly bias signal, but do not account for the entire effect. After splashback subhaloes have been removed, we find that the remaining assembly bias signal is due to a relatively small fraction ($\lesssim 10\%$) of haloes in dense regions. We test a number of additional physical processes thought to contribute to assembly bias and demonstrate that the two key processes are the slowing of mass growth by large-scale tidal fields and by the high velocities of ambient matter in sheets and filaments. We also rule out several other proposed physical causes of halo assembly bias. Based on our results, we argue that there are three processes that contribute to assembly bias of low-mass halos: large-scale tidal fields, gravitational heating due to the collapse of large-scale structures, and splashback subhaloes located outside the virial radius.
Forward citations
Cited by 3 Pith papers
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Primordial Physics in the Nonlinear Universe: Revealing the oscillating halo bias from cosmological collider models
A binning-based IC method yields the first N-body measurements of oscillating halo bias from cosmological collider bispectra, with mass- and assembly-dependent phases fit by peak-background-split theory.
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Anisotropic Secondary Bias of Dark Matter Haloes in a $\Lambda$CDM Universe
Halo spin and elongation create a direction-dependent clustering signal that is governed by alignment with the surrounding cosmic web, whereas orientation-averaged secondary bias is governed by tidal anisotropy.
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Web-Halo Model Peak-Background Split (WHM-PBS): halo bias as a distribution, not a number
Halo bias is derived as an environment-inherited probability distribution whose spread simultaneously produces halo stochasticity, EFT prior bands, and the measured bias–concentration inversion at M ≈ 1.7×10¹³ h⁻¹M☉.
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