The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
THE COYOTE UNIVERSE. I. PRECISION DETERMINATION OF THE NONLINEAR MATTER POWER SPECTRUM
Open accessAbstract
Near-future cosmological observations targeted at investigations of dark energy pose stringent requirements on the accuracy of theoretical predictions for the nonlinear clustering of matter. Currently, N -body simulations comprise the only viable approach to this problem. In this paper, we study various sources of computational error and methods to control them. By applying our methodology to a large suite of cosmological simulations we show that results for the (gravity-only) nonlinear matter power spectrum can be obtained at 1% accuracy out to k ∼ 1 h Mpc −1 . The key components of these high accuracy simulations are precise initial conditions, very large simulation volumes, sufficient mass resolution, and accurate time stepping. This paper is the first in a series of three; the final aim is a high-accuracy prediction scheme for the nonlinear matter power spectrum that improves current fitting formulae by an order of magnitude.
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Cites
The cosmological simulation code gadget-2
Springel, V. (2005) · Monthly Notices of the Royal Astronomical Society · doi:10.1111/j.1365-2966.2005.09655.x · Cited by 6,368
Dunkley, J., Komatsu, E., Nolta, M. R., Spergel, D. N., Larson, D., Hinshaw, G., Page, L., Bennett, C. L., Gold, B., Jarosik, N., et al. (2009) · The Astrophysical Journal Supplement Series · doi:10.1088/0067-0049/180/2/306 · Cited by 1,787
Cited by
Beutler, F., Blake, C., Colless, M., Jones, D. H., Staveley-Smith, L., Campbell, L., Parker, Q., Saunders, W., & Watson, F. (2011) · Monthly Notices of the Royal Astronomical Society · doi:10.1111/j.1365-2966.2011.19250.x · Cited by 2,590
“This code is calibrated by n-body simulations and can describe non-linear effects in the shape of the matter power spectrum for pure CDM models to an accuracy of around 5 − 10% (Heitmann et al. 2010).”
MethodCosmology and Fundamental Physics with the Euclid Satellite
The Euclid Theory Working Group, Amendola, L., Appleby, S., Bacon, D., Baker, T., Baldi, M., Bartolo, N., Blanchard, A., Bonvin, C., Borgani, S., et al. (2013) · Living Reviews in Relativity · doi:10.12942/lrr-2013-6 · Cited by 899
Dark Energy Survey Year 1 results: Cosmological constraints from cosmic shear
Troxel, M. A., MacCrann, N., Zuntz, J., Eifler, T. F., Krause, E., Dodelson, S., Gruen, D., Blazek, J., Friedrich, O., Samuroff, S., et al. (2018) · Physical Review D · doi:10.1103/physrevd.98.043528 · Cited by 656
Unveiling ν secrets with cosmological data: Neutrino masses and mass hierarchy
Vagnozzi, S., Giusarma, E., Mena, O., Freese, K., Gerbino, M., Ho, S., & Lattanzi, M. (2017) · Physical Review D · doi:10.1103/physrevd.96.123503 · Cited by 409
CFHTLenS: combined probe cosmological model comparison using 2D weak gravitational lensing
Kilbinger, M., Fu, L., Heymans, C., Simpson, F., Benjamin, J., Erben, T., Harnois-Déraps, J., Hoekstra, H., Hildebrandt, H., Kitching, T. D., et al. (2013) · Monthly Notices of the Royal Astronomical Society · doi:10.1093/mnras/stt041 · Cited by 349
Metadata
- Authors
- Heitmann, K., White, M., Wagner, C., Habib, S., & Higdon, D.
- Venue
- The Astrophysical Journal
- Publisher
- American Astronomical Society
- Published
- 2010-04-26
- Volume
- 715
- Issue
- 1
- Pages
- 104-121
- ISSN
- 0004-637X (ISSN-L)
- 1538-4357
- OpenAlex
- W2107073439
- Cited by
- 321
- References
- 2
- FWCI
- 15.68
- Type
- journal article
- Language
- en
- Open access
- bronze
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- CoChat. (2026). Citation check: THE COYOTE UNIVERSE. I. PRECISION DETERMINATION OF THE NONLINEAR MATTER POWER SPECTRUM. https://app.cochat.ai/papers/10.1088/0004-637x/715/1/104
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- Heitmann, K., White, M., Wagner, C., Habib, S., & Higdon, D. (2010). THE COYOTE UNIVERSE. I. PRECISION DETERMINATION OF THE NONLINEAR MATTER POWER SPECTRUM. The Astrophysical Journal. https://doi.org/10.1088/0004-637x/715/1/104
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
