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Halo Assembly Bias in Hierarchical Structure Formation
Open accessAbstract
We investigate the origin of halo assembly bias, the dependence of halo clustering on assembly history. We relate halo assembly to peak properties measured in the Lagrangian space of the initial linear Gaussian random density field and show how these same Lagrangian properties determine large-scale bias. We focus on the two regimes where assembly bias has been observed to be significant: at masses very large and very small compared to the nonlinear mass scale. At high masses, we show that assembly bias is expected from the statistics of the peaks of Gaussian random fluctuations, and we show that the extent of assembly bias found in N -body simulations of rare halos is in excellent agreement with our theoretical prediction. At low masses, we argue that assembly bias largely arises from a subpopulation of low-mass halos whose mass accretion has ceased. Due to their arrested development, these halos naturally become unbiased, in contrast to their antibiased peers. We show that a simple toy model incorporating these effects can roughly reproduce the bias trends found in N -body simulations.
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Citations
Cites
The statistics of peaks of Gaussian random fields
Bardeen, J. M., Bond, J. R., Kaiser, N., & Szalay, A. S. (1986) · The Astrophysical Journal · doi:10.1086/164143 · Cited by 3,270
Self-citation
Cited by
THE LARGE-SCALE BIAS OF DARK MATTER HALOS: NUMERICAL CALIBRATION AND MODEL TESTS
Tinker, J. L., Robertson, B. E., Kravtsov, A. V., Klypin, A., Warren, M. S., Yepes, G., & Gottlöber, S. (2010) · The Astrophysical Journal · doi:10.1088/0004-637x/724/2/878 · Cited by 989
Resolving cosmic structure formation with the Millennium-II Simulation
Boylan-Kolchin, M., Springel, V., White, S. D. M., Jenkins, A., & Lemson, G. (2009) · Monthly Notices of the Royal Astronomical Society · doi:10.1111/j.1365-2966.2009.15191.x · Cited by 909
Desjacques, V., Jeong, D., & Schmidt, F. (2018) · Physics Reports · doi:10.1016/j.physrep.2017.12.002 · Cited by 817
COLOSSUS: A Python Toolkit for Cosmology, Large-scale Structure, and Dark Matter Halos
Diemer, B. (2018) · The Astrophysical Journal Supplement Series · doi:10.3847/1538-4365/aaee8c · Cited by 494
Metadata
- Authors
- Dalal, N., White, M., Bond, J. R., & Shirokov, A.
- Venue
- The Astrophysical Journal
- Publisher
- American Astronomical Society
- Published
- 2008-11
- Volume
- 687
- Issue
- 1
- Pages
- 12-21
- ISSN
- 0004-637X (ISSN-L)
- 1538-4357
- OpenAlex
- W2069108113
- Cited by
- 268
- References
- 1
- FWCI
- 6.88
- Type
- journal article
- Language
- en
- Open access
- bronze
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