The Coyote Universe II: Cosmological Models and Precision Emulation of the Nonlinear Matter Power Spectrum
Katrin Heitmann, David Higdon, Martin White, Salman Habib, Brian J., Williams, and Christian Wagner

TL;DR
This paper introduces the Coyote Universe suite of 37 cosmological models to accurately emulate the nonlinear matter power spectrum, enabling precise predictions for dark energy research with reduced computational costs.
Contribution
It demonstrates that a limited set of models can reliably predict the nonlinear matter power spectrum across relevant cosmological parameters, improving efficiency over traditional simulations.
Findings
Accurate emulation of the nonlinear matter power spectrum using only 37 models.
Achieved one percent level accuracy in predictions.
Facilitates efficient exploration of cosmological parameters for dark energy studies.
Abstract
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 one percent 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 'wCDM' cosmologies. In this paper we demonstrate that a…
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Taxonomy
TopicsCosmology and Gravitation Theories · Astronomy and Astrophysical Research · Stellar, planetary, and galactic studies
