TL;DR
This paper presents a novel scaling algorithm that accurately transforms the output of a cosmological N-body simulation to represent different cosmologies, enabling efficient exploration of parameter space.
Contribution
The authors introduce a three-step scaling method for N-body simulations that accurately reproduces large-scale structure across different cosmological parameters.
Findings
Reproduces mass power spectra within 0.5% on large scales
Accurately replaces BAO features for different cosmologies
Halo properties and assembly histories are reproduced with high fidelity
Abstract
We demonstrate that the output of a cosmological N-body simulation can, to remarkable accuracy, be scaled to represent the growth of large-scale structure in a cosmology with parameters similar to but different from those originally assumed. Our algorithm involves three steps: a reassignment of length, mass and velocity units, a relabelling of the time axis, and a rescaling of the amplitudes of individual large-scale fluctuation modes. We test it using two matched pairs of simulations. Within each pair, one simulation assumes parameters consistent with analyses of the first-year WMAP data. The other has lower matter and baryon densities and a 15% lower fluctuation amplitude, consistent with analyses of the three-year WMAP data. The pairs differ by a factor of a thousand in mass resolution, enabling performance tests on both linear and nonlinear scales. Our scaling reproduces the mass…
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