The DOI matches its Crossref record; 36 of the 36 references it cites were found in a registry or an index.
ACCURATE UNIVERSAL MODELS FOR THE MASS ACCRETION HISTORIES AND CONCENTRATIONS OF DARK MATTER HALOS
Open accessAbstract
A large amount of observations have constrained cosmological parameters and the initial density fluctuation spectrum to a very high accuracy. However, cosmological parameters change with time and the power index of the power spectrum dramatically varies with mass scale in the so-called concordance ΛCDM cosmology. Thus, any successful model for its structural evolution should work well simultaneously for various cosmological models and different power spectra. We use a large set of high-resolution N -body simulations of a variety of structure formation models (scale-free, standard CDM, open CDM, and ΛCDM) to study the mass accretion histories, the mass and redshift dependence of concentrations, and the concentration evolution histories of dark matter halos. We find that there is significant disagreement between the much-used empirical models in the literature and our simulations. Based on our simulation results, we find that the mass accretion rate of a halo is tightly correlated with a simple function of its mass, the redshift, parameters of the cosmology, and of the initial density fluctuation spectrum, which correctly disentangles the effects of all these factors and halo environments. We also find that the concentration of a halo is strongly correlated with the universe age when its progenitor on the mass accretion history first reaches 4% of its current mass. According to these correlations, we develop new empirical models for both the mass accretion histories and the concentration evolution histories of dark matter halos, and the latter can also be used to predict the mass and redshift dependence of halo concentrations. These models are accurate and universal: the same set of model parameters works well for different cosmological models and for halos of different masses at different redshifts, and in the ΛCDM case the model predictions match the simulation results very well even though halo mass is traced to about 0.0005 times the final mass, when cosmological parameters and the power index of the initial density fluctuation spectrum have changed dramatically. Our model predictions also match the PINOCCHIO mass accretion histories very well, which are much independent of our numerical simulations and our definitions of halo merger trees. These models are also simple and easy to implement, making them very useful in modeling the growth and structure of dark matter halos. We provide appendices describing the step-by-step implementation of our models. A calculator which allows one to interactively generate data for any given cosmological model is provided on the Web, together with a user-friendly code to make the relevant calculations and some tables listing the expected concentration as a function of halo mass and redshift in several popular cosmological models. We explain why ΛCDM and open CDM halos on nearly all mass scales show two distinct phases in their mass growth histories. We discuss implications of the universal relations we find in connection to the formation of dark matter halos in the cosmic density field.
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Cites
A Universal Density Profile from Hierarchical Clustering
Navarro, J. F., Frenk, C. S., & White, S. D. M. (1997) · The Astrophysical Journal · doi:10.1086/304888 · Cited by 9,917
A Universal Density Profile from Hierarchical ClusteringPreprint
Navarro, J. F., Frenk, C. S., & White, S. D. M. (1996) · Cited by 6,275
Computer Simulation Using Particles
Hockney, R. W., & Eastwood, J. W. (1988) · Institute of Physics eBooks · doi:10.1887/0852743920 · Cited by 5,441
Computer Simulation Using Particles
Hockney, R. W., & Eastwood, J. W. (2021) · CRC Press eBooks · doi:10.1201/9780367806934 · Cited by 4,383
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
Profiles of dark haloes: evolution, scatter and environment
Bullock, J. S., Kolatt, T. S., Sigad, Y., Somerville, R. S., Kravtsov, A. V., Klypin, A. A., Primack, J. R., & Dekel, A. (2001) · Monthly Notices of the Royal Astronomical Society · doi:10.1046/j.1365-8711.2001.04068.x · Cited by 2,319
Statistical Properties of X‐Ray Clusters: Analytic and Numerical Comparisons
Bryan, G. L., & Norman, M. L. (1998) · The Astrophysical Journal · doi:10.1086/305262 · Cited by 2,295
Baryonic Features in the Matter Transfer Function
Eisenstein, D. J., & Hu, W. (1998) · The Astrophysical Journal · doi:10.1086/305424 · Cited by 2,239
The mass function of dark matter haloes
Jenkins, A., Frenk, C. S., White, S. D. M., Colberg, J. M., Cole, S., Evrard, A. E., Couchman, H. M. P., & Yoshida, N. (2001) · Monthly Notices of the Royal Astronomical Society · doi:10.1046/j.1365-8711.2001.04029.x · Cited by 1,659
Statistical Properties of X-ray Clusters: Analytic and Numerical Comparisons
Bryan, G. L., & Norman, M. L. (1997) · CERN Document Server (European Organization for Nuclear Research) · Cited by 1,268
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
MultiDark simulations: the story of dark matter halo concentrations and density profiles
Klypin, A., Yepes, G., Gottlöber, S., Prada, F., & Heß, S. (2016) · Monthly Notices of the Royal Astronomical Society · doi:10.1093/mnras/stw248 · Cited by 970
Dutton, A. A., & Macciò, A. V. (2014) · Monthly Notices of the Royal Astronomical Society · doi:10.1093/mnras/stu742 · Cited by 958
Dark matter and cosmic structure
Frenk, C. S., & White, S. D. M. (2012) · Annalen der Physik · doi:10.1002/andp.201200212 · Cited by 409
The mass–concentration–redshift relation of cold dark matter haloes
Ludlow, A. D., Navarro, J. F., Angulo, R. E., Boylan-Kolchin, M., Springel, V., Frenk, C., & White, S. D. M. (2014) · Monthly Notices of the Royal Astronomical Society · doi:10.1093/mnras/stu483 · Cited by 283
Metadata
- Authors
- Zhao, D. H., Jing, Y. P., Mo, H. J., & Börner, G.
- Venue
- The Astrophysical Journal
- Publisher
- American Astronomical Society
- Published
- 2009-11-20
- Volume
- 707
- Issue
- 1
- Pages
- 354-369
- ISSN
- 0004-637X (ISSN-L)
- 1538-4357
- OpenAlex
- W2092695191
- Cited by
- 490
- References
- 36
- FWCI
- 18.33
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Zhao, D. H., Jing, Y. P., Mo, H. J., & Börner, G. (2009). ACCURATE UNIVERSAL MODELS FOR THE MASS ACCRETION HISTORIES AND CONCENTRATIONS OF DARK MATTER HALOS. The Astrophysical Journal. https://doi.org/10.1088/0004-637x/707/1/354
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