The CMB Bispectrum
J. R. Fergusson, M. Liguori, E. P. S. Shellard
TL;DR
The paper develops and validates a general late-time CMB bispectrum estimator based on separable modal expansions to reconstruct and constrain a broad class of non-Gaussian models from WMAP7 data. By expanding the full bispectrum in an orthonormal modal basis, it achieves efficient reconstruction and model-agnostic tests, yielding new constraints across constant, local, equilateral, flat, and warm-inflation shapes, and introducing a total integrated bispectrum measure $\bar{F}_{\rm NL}$. The analysis finds no significant deviation from Gaussianity in the WMAP domain, including for non-scaling feature models, with one anomalous mode that warrants further study with higher-resolution data. The approach provides a flexible, scalable framework for Planck and future surveys, enabling broad, model-independent searches for primordial non-Gaussianity and potential extensions to the trispectrum.
Abstract
We use a separable mode expansion estimator with WMAP data to estimate the bispectrum for all the primary families of non-Gaussian models. We review the late-time mode expansion estimator methodology which can be applied to any non-separable primordial and CMB bispectrum model, and we demonstrate how the method can be used to reconstruct the CMB bispectrum from an observational map. We extend the previous validation of the general estimator using local map simulations. We apply the estimator to the coadded WMAP 5-year data, reconstructing the WMAP bispectrum using $l<500$ multipoles and $n=31$ orthonormal 3D eigenmodes. We constrain all popular nearly scale-invariant models, ensuring that the theoretical bispectrum is well-described by a convergent mode expansion. Constraints from the local model $ \fnl=54.4\pm 29.4$ and the equilateral model $\fnl=143.5\pm 151.2$ ($\Fnl = 25.1\pm 26.4$) are consistent with previously published results. (Here, we use a nonlinearity parameter $\Fnl$ normalised to the local case, to allow more direct comparison between different models.) Notable new constraints from our method include those for the constant model $\Fnl = 35.1 \pm 27.4 $, the flattened model $\Fnl = 35.4\pm 29.2$, and warm inflation $\Fnl = 10.3\pm 27.2$. We investigate feature models surveying a wide parameter range in both the scale and phase, and we find no significant evidence of non-Gaussianity in the models surveyed. We propose a measure $\barFnl$ for the total integrated bispectrum and find that the measured value is consistent with the null hypothesis that CMB anisotropies obey Gaussian statistics. We argue that this general bispectrum survey with the WMAP data represents the best evidence for Gaussianity to date and we discuss future prospects, notably from the Planck satellite.
