Approximating Density Probability Distribution Functions Across Cosmologies
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 slop...
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| Veröffentlicht in: | The Astrophysical journal Jg. 929; H. 2; S. 135 - 142 |
|---|---|
| Hauptverfasser: | , , |
| Format: | Journal Article |
| Sprache: | Englisch |
| Veröffentlicht: |
Philadelphia
The American Astronomical Society
01.04.2022
IOP Publishing |
| Schlagworte: | |
| ISSN: | 0004-637X, 1538-4357 |
| Online-Zugang: | Volltext |
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| Zusammenfassung: | 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
σ
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
=
〈
dv
pec
L
/
dr
2
〉
/
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. |
|---|---|
| Bibliographie: | Galaxies and Cosmology AAS34701 ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 AC02-07CH11359 FERMILAB-PUB-21-659-T; arXiv:2109.06194 USDOE Office of Science (SC), High Energy Physics (HEP) |
| ISSN: | 0004-637X 1538-4357 |
| DOI: | 10.3847/1538-4357/ac5e9f |