4.6 Article

The one-loop matter bispectrum in the Effective Field Theory of Large Scale Structures

出版社

IOP PUBLISHING LTD
DOI: 10.1088/1475-7516/2015/10/039

关键词

cosmological perturbation theory; power spectrum; cosmic web; cosmological parameters from LSS

资金

  1. Natural Sciences and Engineering Research Council of Canada
  2. DOE Early Career Award [DE-FG02-12ER41854]
  3. NSF [PHY-1068380]
  4. STFC [ST/J005673/1, ST/K00333X/1, ST/H008586/1] Funding Source: UKRI

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Given the importance of future large scale structure surveys for delivering new cosmological information, it is crucial to reliably predict their observables. The Effective Field Theory of Large Scale Structures (EFTofLSS) provides a manifestly convergent perturbative scheme to compute the clustering of dark matter in the weakly nonlinear regime in an expansion in k/k(NL), where k is the wavenumber of interest and km, is the wavenumber associated to the nonlinear scale. It has been recently shown that the EFTofLSS matches to 1% level the dark matter power spectrum at redshift zero up to k similar or equal to 0.3h Mpc(-1) and k similar or equal to 0.6h Mpc(-1) at one and two loops respectively, using only one counterterm that is fit to data. Similar results have been obtained for the momentum power spectrum at one loop. This is a remarkable improvement with respect to former analytical techniques. Here we study the prediction for the equal-time dark matter bispectrum at one loop. We find that at this order it is sufficient to consider the same counterterm that was measured in the power spectrum. Without any remaining free parameter, and in a cosmology for which km, is smaller than in the previously considered cases (sigma(8) = 0.9), we find that the prediction from the EFTofLSS agrees very well with N-body simulations up to k similar or equal to 0.25h Mpc(-1), given the accuracy of the measurements, which is of order a few percent at the highest k's of interest. While the fit is very good on average up to k similar or equal to 0.25h Mpc(-1), the fit performs slightly worse on equilateral configurations, in agreement with expectations that for a given maximum k, equilateral triangles are the most nonlinear.

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