On measuring the covariance matrix of the non-linear power spectrum from simulations

Andrew J S Hamilton, Christopher D. Rimes, Román Scoccimarro

    Research output: Contribution to journalArticle

    Abstract

    We show how to estimate the covariance of the power spectrum of a statistically homogeneous and isotropic density field from a single periodic simulation, by applying a set of weightings to the density field, and by measuring the scatter in power spectra between different weightings. We recommend a specific set of 52 weightings containing only combinations of fundamental modes, constructed to yield a minimum variance estimate of the covariance of power. Numerical tests reveal that at non-linear scales the variance of power estimated by the weightings method substantially exceeds that estimated from a simple ensemble method. We argue that the discrepancy is caused by beat-coupling, in which products of closely spaced Fourier modes couple by non-linear gravitational growth to the beat mode between them. Beat-coupling appears whenever non-linear power is measured from Fourier modes with a finite spread of wavevector, and is therefore present in the weightings method but not in the ensemble method. Beat-coupling inevitably affects real galaxy surveys, whose Fourier modes have finite width. Surprisingly, the beat-coupling contribution dominates the covariance of power at non-linear scales, so that, counter-intuitively, it is expected that the covariance of non-linear power in galaxy surveys is dominated not by small-scale structure, but rather by beat-coupling to the largest scales of the survey.

    Original languageEnglish (US)
    Pages (from-to)1188-1204
    Number of pages17
    JournalMonthly Notices of the Royal Astronomical Society
    Volume371
    Issue number3
    DOIs
    StatePublished - Sep 2006

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    power spectra
    synchronism
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    galaxies
    estimates
    method
    measuring
    counters
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    Keywords

    • Large-scale structure of Universe
    • Methods: data analysis

    ASJC Scopus subject areas

    • Space and Planetary Science

    Cite this

    On measuring the covariance matrix of the non-linear power spectrum from simulations. / Hamilton, Andrew J S; Rimes, Christopher D.; Scoccimarro, Román.

    In: Monthly Notices of the Royal Astronomical Society, Vol. 371, No. 3, 09.2006, p. 1188-1204.

    Research output: Contribution to journalArticle

    Hamilton, Andrew J S ; Rimes, Christopher D. ; Scoccimarro, Román. / On measuring the covariance matrix of the non-linear power spectrum from simulations. In: Monthly Notices of the Royal Astronomical Society. 2006 ; Vol. 371, No. 3. pp. 1188-1204.
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