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On the environmental dependence of halo formation
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On the environmental dependence of halo formation
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A generic prediction of hierarchical gravitational clustering models is that the distribution of halo formation times should depend relatively strongly on halo mass, massive haloes forming more recently, and depend only weakly, if at all, on the large scale environment of the haloes. We present a novel test of this assumption which uses a statistic that proves to be particularly well-suited to detecting and quantifying weak correlations with environment. We find that close pairs of haloes form at slightly higher redshifts than do more widely separated halo pairs, suggesting that haloes in dense regions form at slightly earlier times than do haloes of the same mass in less dense regions. The environmental trends we find are useful for models which relate the properties of galaxies to the formation histories of the haloes which surround them.
Forward citations
Cited by 5 Pith papers
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Tomographic Alcock-Paczynski Test with Marked Correlation Functions
First integration of tomographic AP tests with MCFs and PCA compression yields 48% and 45% tighter errors on Ω_m and w versus standard two-point functions.
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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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The Environmental Dependence of Halo Intrinsic Alignments: Stronger Signals in Underdense Regions
At fixed halo mass, underdense environments produce systematically larger IA amplitudes (factor ~1.5–1.8) than overdense ones, driven by both stronger tidal alignment and greater intrinsic elongation.
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Cosmological constraints from neighbor-density-weighted marked correlation functions
Neighbor-density-weighted marked correlation functions improve FoM for Ωm–σ8 by 1.7–2.5× over standard 2PCF using Gaussian-process emulators on 129 w0waCDM+∑mν simulations.
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Cosmological constraints from neighbor-density-weighted marked correlation functions
Neighbor-density-weighted marked correlation functions improve FoM for Ω_m–σ_8 by 1.7–2.5× over standard 2PCF using emulators from 129 w0waCDM+∑m_ν simulations.
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