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Assembly bias in the clustering of dark matter haloes

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arxiv astro-ph/0611921 v2 pith:YPH2D2IF submitted 2006-11-29 astro-ph

classification astro-ph
keywords haloclusteringassemblymassbiashaloespropertiesresults
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We use a very large simulation of structure growth in a LCDM universe -- the Millennium Simulation -- to study assembly bias, the fact that the large-scale clustering of haloes of given mass varies significantly with their assembly history. We extend earlier work based on the same simulation by superposing results for redshifts from 0 to 3, by defining a less noisy estimator of clustering amplitude, and by considering halo concentration, substructure mass fraction and spin, as well as formation time, as additional parameters. These improvements lead to results with less noise than previous studies and covering a wider range of halo masses and structural properties. We find significant and significantly different assembly bias effects for all the halo properties we consider, although in all cases the dependences on halo mass and on redshift are adequately described as a dependence on equivalent peak height nu(M,z). The nu-dependences for different halo properties differ qualitatively and are not related as might naively be expected given the relations between formation time, concentration, substructure fraction and spin found for the halo population as a whole. These results suggest that it will be difficult to build models for the galaxy populations of dark haloes which can robustly relate the amplitude of large-scale galaxy clustering to that for mass clustering at better than the 10% level.

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Cited by 4 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Web-Halo Model Peak-Background Split (WHM-PBS): halo bias as a distribution, not a number

    astro-ph.CO 2026-07 conditional novelty 6.0 of 10

    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☉.

  2. The Environmental Dependence of Halo Intrinsic Alignments: Stronger Signals in Underdense Regions

    astro-ph.CO 2026-07 conditional novelty 6.0 of 10

    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.

  3. Modeling Gravitational Wave Bias from 3D Power Spectra of Spectroscopic Surveys

    astro-ph.GA 2025-06 conditional novelty 6.0 of 10

    Using mock gravitational wave catalogs built from the SDSS DR7 galaxy survey, the clustering bias of GW sources is most sensitive to host stellar mass, secondarily to star formation rate, and nearly insensitive to met...

  4. The Gravitational Wave Bias Parameter from Angular Power Spectra: Bridging Between Galaxies and Binary Black Holes

    astro-ph.GA 2024-11 conditional novelty 6.0 of 10

    The gravitational wave bias of mock binary black holes increases with the pivot mass of the assumed host galaxy mass selection, and can exceed the galaxy bias by up to about 30 percent only for steep host probability slopes.

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