The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
THE COYOTE UNIVERSE. II. COSMOLOGICAL MODELS AND PRECISION EMULATION OF THE NONLINEAR MATTER POWER SPECTRUM
Open accessAbstract
The power spectrum of density fluctuations is a foundational source of cosmological information. Precision cosmological probes targeted primarily at investigations of dark energy require accurate theoretical determinations of the power spectrum in the nonlinear regime. To exploit the observational power of future cosmological surveys, accuracy demands on the theory are at the 1% level or better. Numerical simulations are currently the only way to produce sufficiently error-controlled predictions for the power spectrum. The very high computational cost of (precision) N -body simulations is a major obstacle to obtaining predictions in the nonlinear regime, while scanning over cosmological parameters. Near-future observations, however, are likely to provide a meaningful constraint only on constant dark energy equation of state, " w CDM", cosmologies. In this paper, we demonstrate that a limited set of only 37 cosmological models—the "Coyote Universe" suite—can be used to predict the nonlinear matter power spectrum to 1% over a prior parameter range set by current cosmic microwave background observations. This paper is the second in a series of three, with the final aim to provide a high-accuracy prediction scheme for the nonlinear matter power spectrum for w CDM cosmologies.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Observational Evidence from Supernovae for an Accelerating Universe and a Cosmological Constant
Riess, A. G., Filippenko, A. V., Challis, P., Clocchiatti, A., Diercks, A., Garnavich, P. M., Gilliland, R. L., Hogan, C. J., Jha, S., Kirshner, R. P., et al. (1998) · The Astronomical Journal · doi:10.1086/300499 · Cited by 19,704
Measurements of Ω and Λ from 42 High‐Redshift Supernovae
Perlmutter, S., Aldering, G., Goldhaber, G., Knop, R. A., Nugent, P., Castro, P. G., Deustua, S., Fabbro, S., Goobar, A., Groom, D. E., et al. (1999) · The Astrophysical Journal · doi:10.1086/307221 · Cited by 18,062
Cited by
Cosmology with cosmic shear observations: a review
Kilbinger, M. (2015) · Reports on Progress in Physics · doi:10.1088/0034-4885/78/8/086901 · Cited by 604
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
The IR-resummed Effective Field Theory of Large Scale Structures
Senatore, L., & Zaldarriaga, M. (2015) · Journal of Cosmology and Astroparticle Physics · doi:10.1088/1475-7516/2015/02/013 · Cited by 260
CosmoGAN: creating high-fidelity weak lensing convergence maps using Generative Adversarial Networks
Mustafa, M., Bard, D., Bhimji, W., Lukić, Z., Al-Rfou, R., & Kratochvil, J. M. (2019) · Computational Astrophysics and Cosmology · doi:10.1186/s40668-019-0029-9 · Cited by 127
Zhao, G.-B. (2014) · The Astrophysical Journal Supplement Series · doi:10.1088/0067-0049/211/2/23 · Cited by 61
Metadata
- Authors
- Heitmann, K., Higdon, D., White, M., Habib, S., Williams, B. J., Lawrence, E., & Wagner, C.
- Venue
- The Astrophysical Journal
- Publisher
- American Astronomical Society
- Published
- 2009-10-08
- Volume
- 705
- Issue
- 1
- Pages
- 156-174
- ISSN
- 0004-637X (ISSN-L)
- 1538-4357
- OpenAlex
- W2075776911
- Cited by
- 242
- References
- 2
- FWCI
- 5.65
- Type
- journal article
- Language
- en
- Open access
- bronze
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: THE COYOTE UNIVERSE. II. COSMOLOGICAL MODELS AND PRECISION EMULATION OF THE NONLINEAR MATTER POWER SPECTRUM. https://app.cochat.ai/papers/10.1088/0004-637x/705/1/156
- The paper
- Heitmann, K., Higdon, D., White, M., Habib, S., Williams, B. J., Lawrence, E., & Wagner, C. (2009). THE COYOTE UNIVERSE. II. COSMOLOGICAL MODELS AND PRECISION EMULATION OF THE NONLINEAR MATTER POWER SPECTRUM. The Astrophysical Journal. https://doi.org/10.1088/0004-637x/705/1/156
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.