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• W3200326568 abstract "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, $s_L={sqrt{langle(dv^L_{rm pec}/dr)^2rangle}}/{H}$. 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." @default.
• W3200326568 created "2021-09-27" @default.
• W3200326568 creator A5013402154 @default.
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• W3200326568 date "2022-04-01" @default.
• W3200326568 modified "2023-09-26" @default.
• W3200326568 title "Approximating Density Probability Distribution Functions Across Cosmologies" @default.
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• W3200326568 doi "https://doi.org/10.3847/1538-4357/ac5e9f" @default.
• W3200326568 hasPublicationYear "2022" @default.
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