2021
DOI: 10.48550/arxiv.2111.05887
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The Covariance of Squeezed Bispectrum Configurations

Matteo Biagetti,
Lina Castiblanco,
Jorge Noreña
et al.

Abstract: We measure the halo bispectrum covariance in a large set of N-body simulations and compare it with theoretical expectations. We find a large correlation among (even mildly) squeezed halo bispectrum configurations. A similarly large correlation can be found between squeezed triangles and the long-wavelength halo power spectrum. This shows that the diagonal Gaussian contribution fails to describe, even approximately, the full covariance in these cases. We compare our numerical estimate with a model that includes… Show more

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Cited by 9 publications
(16 citation statements)
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“…These results show a strong potential for primordial non-Gaussianity as compared to recent analyses. For instance, a Fisher forecast using the halo power spectrum and bispectrum in real space on the Eos simulations considered in this work gave ∆f loc NL ∼ 20 using full boxes of 8 (Gpc/h) 3 volume with a realistic theoretical covariance [79]. As for real data constraints, the power spectrum and bispectrum as measured from the BOSS survey was recently analyzed in the context of primordial non-Gaussianity and gave constraints of the order of ∆f loc NL ∼ 50 and ∆f equi NL ∼ 200 at 68% confidence on a volume of 2.4 (Gpc/h) 3 [4].…”
Section: Discussionmentioning
confidence: 92%
“…These results show a strong potential for primordial non-Gaussianity as compared to recent analyses. For instance, a Fisher forecast using the halo power spectrum and bispectrum in real space on the Eos simulations considered in this work gave ∆f loc NL ∼ 20 using full boxes of 8 (Gpc/h) 3 volume with a realistic theoretical covariance [79]. As for real data constraints, the power spectrum and bispectrum as measured from the BOSS survey was recently analyzed in the context of primordial non-Gaussianity and gave constraints of the order of ∆f loc NL ∼ 50 and ∆f equi NL ∼ 200 at 68% confidence on a volume of 2.4 (Gpc/h) 3 [4].…”
Section: Discussionmentioning
confidence: 92%
“…The comparison between the numerical estimate and analytic prediction for these quantities is shown in figure 3. One can see how the Gaussian prediction for C 00 , C 22 and C 44 is able to describe the measured ones at the level of 5%, with a slight deficit noticeable in the monopole and quadrupole case for squeezed triangles, due to the missing non-Gaussian contribution [52,53]. The agreement in the case of the cross-covariance C 1 2 (t i , t i ) is also rather good, with the theory underestimating the measurements by an overall 10%.…”
Section: Theoretical Gaussian Covariancementioning
confidence: 92%
“…The mass threshold for the mocks is chosen to reproduce (below percent level) the amplitude of the large-scale halo power spectrum (including shotnoise) of the numerical simulations (see Paper I for details). This quantity, in fact, accounts for the Gaussian contribution to the bispectrum covariance, the leading one for most triangular configurations (see also [52,53]). The covariance matrix for each bispectrum multipole and their cross-covariance is defined as…”
Section: Numerical Estimatementioning
confidence: 99%
“…The 3pt correlation function and its Fourier transform -the bispectrum -have been widely studied in the literature as the lowest higher-order statistics able to lift parameters degeneracies present at the 2pt level [8][9][10][11][12][13][14][15][16][17][18][19][20][21][22][23][24][25] and therefore to capture additional information [26][27][28]. In particular, by employing the bispectrum in addition to the power spectrum, constraints on neutrino masses sum can be improved [29][30][31][32][33], together with baryonic acoustic oscillations (BAO) [34][35][36] and relativistic effects [37][38][39][40][41].…”
Section: Introductionmentioning
confidence: 99%