Cosmological constraints from Fourier phase statistics
Cosmological constraints from Fourier phase statistics
复制标题
傅立叶相位统计的宇宙学约束
DOI:
10.1093/mnras/sty1696
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发表时间:
2018
影响因子:
4.8
通讯作者:
Ali K
中科院分区:
文献类型:
--
作者:
Ali K
Most statistical inference from cosmic large-scale structure relies on two-point statistics, i.e. on the galaxy–galaxy correlation function (2PCF) or the power spectrum. These statistics capture the full information encoded in the Fourier amplitudes of the galaxy density field but do not describe the Fourier phases of the field. Here, we quantify the information contained in the line correlation function (LCF), a three-point Fourier phase correlation function. Using cosmological simulations, we estimate the Fisher information (at redshift= 0) of the 2PCF, LCF, and their combination, regarding the cosmological parameters of the standard ΛCDM model, as well as a warm dark matter model and thef(R) and Symmetron-modified gravity models. The galaxy bias is accounted for at the level of a linear bias. The relative information of the 2PCF and the LCF depends on the survey volume, sampling density (shot noise), and the bias uncertainty. For a volume of, sampled with points of mean density, and a bias uncertainty of 13 per cent, the LCF improves the parameter constraints by about 20 per cent in the ΛCDM cosmology and potentially even more in alternative models. Finally, since a linear bias only affects the Fourier amplitudes (2PCF), but not the phases (LCF), the combination of the 2PCF and the LCF can be used to break the degeneracy between the linear bias and σ8, present in two-point statistics.
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影响因子:
4.8
作者:
J. Byun;A. Eggemeier;D. Regan;D. Seery;R. Smith
通讯作者:
J. Byun;A. Eggemeier;D. Regan;D. Seery;R. Smith
影响因子:
6.5
作者:
Hartlap, J.;Simon, P.;Schneider, P.
通讯作者:
Schneider, P.
影响因子:
8.6
作者:
L. Lombriser;F. Simpson;A. Mead
通讯作者:
L. Lombriser;F. Simpson;A. Mead
DOI:
10.1088/0004-637x/804/2/132
发表时间:
2014
期刊:
The Astrophysical Journal
影响因子:
--
作者:
Richard Wolstenhulme;C. Bonvin;D. Obreschkow
通讯作者:
D. Obreschkow
影响因子:
2.5
作者:
Howlett, C.;Manera, M.;Percival, W. J.
通讯作者:
Percival, W. J.