Fast computation of the non-Gaussian covariance of redshift-space galaxy power spectrum multipoles
Name:
PhysRevD.108.103512.pdf
Size:
912.6Kb
Format:
PDF
Description:
Final Published Version
Author
Kobayashi, Y.Affiliation
Department of Astronomy/Steward Observatory, University of ArizonaIssue Date
2023-11-09
Metadata
Show full item recordPublisher
American Physical SocietyCitation
Yosuke Kobayashi. Phys. Rev. D 108, 103512 – Published 9 November 2023Journal
Physical Review DRights
© 2023 American Physical Society.Collection Information
This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.Abstract
The non-Gaussian part of the covariance matrix of the galaxy power spectrum involves the connected four-point correlation in Fourier space, i.e., trispectrum. This paper introduces a fast method to compute the non-Gaussian part of the covariance matrix of the galaxy power spectrum multipoles in redshift space at tree-level standard perturbation theory. For the tree-level galaxy trispectrum, the angular integral between two wave vectors can be evaluated analytically by employing an FFTLog. The new implementation computes the non-Gaussian covariance of the power spectrum monopole, quadrupole, hexadecapole and their cross-covariance in O(10) seconds, for an effectively arbitrary number of instances of cosmological and galaxy bias parameters and redshift, without any parallelization or acceleration. It is a large advantage over conventional numerical integration. We demonstrate that the computation of the covariance at k=0.005-0.4h Mpc-1 gives results with 0.1-1% accuracy. The efficient computation of the analytic covariance can be useful for future galaxy surveys, especially utilizing multitracer analysis. © 2023 American Physical Society.Note
Immediate accessISSN
2470-0010Version
Final Published Versionae974a485f413a2113503eed53cd6c53
10.1103/PhysRevD.108.103512