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Bispectrum-window convolution via Hankel transform

delete2022-10-21
delete14
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OA
AI
K
Kevin Pardede *
F
Federico Rizzo
M
Matteo Biagetti
E
Emanuele Castorina
E
E. Sefusatti
P
Pierluigi Monaco
DOI:10.1088/1475-7516/2022/10/066delete
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摘要

摘要

En 中文
We present a method to perform the exact convolution of the model prediction for bispectrum multipoles in redshift space with the survey window function. We extend a widely applied method for the power spectrum convolution to the bispectrum, taking advantage of a 2D-FFTlog algorithm. As a preliminary test of its accuracy, we consider the toy model of a spherical window function in real space. This setup provides an analytical evaluation of the 3-point function of the window, and therefore it allows to isolate and quantify possible systematic errors of the method. We find that our implementation of the convolution in terms of a mixing matrix shows differences at the percent level in comparison to the measurements from a very large set of mock halo catalogs. It is also able to recover unbiased constraints on halo bias parameters in a likelihood analysis of a set of numerical simulations with a total volume of 100 h-3 Gpc3. For the level of accuracy required by these tests, the multiplication with the mixing matrix is performed in the time of one second or less.
Keyword:
cosmological parameters from LSS
galaxy clustering
redshift surveys
dark energy experiments

期刊

Journal of Cosmology and Astroparticle Physics 封面图
Journal of Cosmology and Astroparticle Physics
IF:
5.9
论文数:
1.3W
被引数:
4.7W

机构

I
istituto nazionale di fisica nucleare (infn)
学者数:
3.0W
论文数: 1.2W
被引数: 14
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