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Ground and space-based sky surveys enable powerful cosmological probes basedon measurements of galaxy properties and the distribution of galaxies in theUniverse. These probes include weak lensing, baryon acoustic oscillations,abundance of galaxy clusters, and redshift space distortions; they areessential to improving our knowledge of the nature of dark energy. On thetheory and modeling front, large-scale simulations of cosmic structureformation play an important role in interpreting the observations and in thechallenging task of extracting cosmological physics at the needed precision.These simulations must cover a parameter range beyond the standard sixcosmological parameters and need to be run at high mass and force resolution.One key simulation-based task is the generation of accurate theoreticalpredictions for observables, via the method of emulation. Using a new samplingtechnique, we explore an 8-dimensional parameter space including massiveneutrinos and a variable dark energy equation of state. We construct trialemulators using two surrogate models (the linear power spectrum and anapproximate halo mass function). The new sampling method allows us to buildprecision emulators from just 26 cosmological models and to increase theemulator accuracy by adding new sets of simulations in a prescribed way. Thisallows emulator fidelity to be systematically improved as new observationaldata becomes available and higher accuracy is required. Finally, using one LCDMcosmology as an example, we study the demands imposed on a simulation campaignto achieve the required statistics and accuracy when building emulators fordark energy investigations.

The Mira-Titan Universe: Precision Predictions for Dark Energy Surveys