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Covariance of the matter power spectrum including the survey window function effect: N-body simulations vs. fifth-order perturbation theory on grid

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arxiv 2007.05504 v2 pith:2AE43EVK submitted 2020-07-10 astro-ph.CO

Covariance of the matter power spectrum including the survey window function effect: N-body simulations vs. fifth-order perturbation theory on grid

classification astro-ph.CO
keywords covariancegridsptn-bodypowerspectrumeffectmatrixmatter
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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We present a Next-to-next-to-leading (fifth or NNLO) order calculation for the covariance matrix of the matter power spectrum, taking into account the effect of survey window functions. Using the grid-based calculation scheme for the standard perturbation theory, GridSPT, we quickly generate multiple realizations of the nonlinear density fields to fifth order in perturbation theory, then estimate the power spectrum and the covariance matrix from the sample. To the end, we have obtained the non-Gaussian covariance originated from the one-loop trispectrum without explicitly computing the trispectrum. By comparing the GridSPT calculations with the N-body results, we show that NNLO GridSPT result reproduces the N-body results on quasi-linear scales where SPT accurately models nonlinear matter power spectrum. Incorporating the survey window function effect to GridSPT is rather straightforward, and the resulting NNLO covariance matrix also matches well with the N-body results.

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  1. Fewer simulations, sharper covariances: Reducing mock covariance noise with Zeldovich approximation control variates

    astro-ph.CO 2026-05 unverdicted novelty 7.0

    Control variates with Zeldovich mocks reduce covariance matrix variance by up to an order of magnitude on large scales in DESI-like mocks.