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Approximating Density Probability Distribution Functions Across Cosmologies
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DOI：10.3847/1538-4357/ac5e9f.png)
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Using a suite of self-similar cosmological simulations, we measure the probability distribution functions (PDFs) of real-space density, redshift-space density, and their geometric mean. We find that the real-space density PDF is well-described by a function of two parameters: n(s), the spectral slope, and sigma(L), the linear rms density fluctuation. For redshift-space density and the geometric mean of real- and redshift-space densities, we introduce a third parameter, s(L) = root <(dv(pec)(L)/dr)(2)>/h H. We find that density PDFs for the LCDM cosmology is also well-parameterized by these three parameters. As a result, we are able to use a suite of self-similar cosmological simulations to approximate density PDFs for a range of cosmologies. We make the density PDFs publicly available and provide an analytical fitting formula for them.
Keyword:
PERTURBATION-THEORY
DARK-MATTER
UNIVERSE
MODEL
期刊
IF:
5.4
论文数:
8.3W
被引数:
32.0W
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