A Complete FFT-Based Decomposition Formalism for the Redshift-Space Bispectrum
Abstract
To fully extract cosmological information from non-linear galaxy distribution in redshift space, it is essential to include higher-order statistics beyond the two-point correlation function. In this paper,we propose a newdecomposition formalism for computing the anisotropic bispectrum in redshift space and formeasuring it from galaxy samples. Our formalism uses tri-polar spherical harmonic decomposition with zero total angular momentum to compress the 3D modes distribution in the redshift-space bispectrum. This approach preserves three fundamental properties of the Universe - statistical homogeneity, isotropy, and parity-symmetry. allowing us to efficiently separate the anisotropic signal induced by redshift-space distortions (RSDs) and the Alcock-PaczyÅ"ski (AP) effect from the isotropic bispectrum. The relevant expansion coefficients in terms of the anisotropic signal are reduced to one multipole index L, and the L > 0 modes are induced only by the RSD or AP effects. Our formalism has two advantages: (1) we can make use of Fast Fourier Transforms to measure the bispectrum and (2) it gives a simple expression to correct for the survey geometry, i.e. the survey window function. As a demonstration, we measure the decomposed bispectrum from the Baryon Oscillation Spectroscopic Survey (BOSS) Data Release 12, and, for the first time, present a 14σ detection of the anisotropic bispectrum in the L = 2 mode.
Recommended Citation
N. S. Sugiyama et al., "A Complete FFT-Based Decomposition Formalism for the Redshift-Space Bispectrum," Monthly Notices of the Royal Astronomical Society, vol. 484, no. 1, pp. 364 - 384, Oxford University Press, Mar 2019.
The definitive version is available at https://doi.org/10.1093/mnras/sty3249
Department(s)
Physics
Keywords and Phrases
Cosmology: observations; Cosmology: theory; Dark matter; Large-scale structure of Universe
International Standard Serial Number (ISSN)
0035-8711; 1365-2966
Document Type
Article - Journal
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2019 Oxford University Press, All rights reserved.
Publication Date
01 Mar 2019