Primordial non-Gaussianity and Bispectrum Measurements in the Cosmic Microwave Background and Large-Scale Structure
M. Liguori, E. Sefusatti, J. R. Fergusson, E. P. S. Shellard
TL;DR
This work provides a comprehensive framework for probing primordial non-Gaussianity through the bispectrum in the CMB and large-scale structure. It develops shape-based formalisms and separable eigenmode expansions to efficiently compute and compare a wide class of inflationary models, including local, equilateral, and feature-type shapes, as well as late-time sources like cosmic strings. The authors derive optimal cubic estimators for the non-Gaussian amplitude $f_\textrm{NL}$, discuss their optimality, and address practical issues such as rotational invariance, instrumental noise, and masking, with detailed discussion of numerical implementations and Planck-era forecasts. They also extend the analysis to LSS, highlighting how primordial non-Gaussianity interacts with gravitational evolution and galaxy bias, and emphasize the need for joint CMB-LSS analyses to robustly constrain broad classes of models. Overall, the work outlines the path toward tighter, more general constraints on inflationary physics using both CMB observations and large-scale structure surveys, while acknowledging substantial challenges from foregrounds, secondary anisotropies, and nonlinear bias.
Abstract
The most direct probe of non-Gaussian initial conditions has come from bispectrum measurements of temperature fluctuations in the Cosmic Microwave Background and of the matter and galaxy distribution at large scales. Such bispectrum estimators are expected to continue to provide the best constraints on the non-Gaussian parameters in future observations. We review and compare the theoretical and observational problems, current results and future prospects for the detection of a non-vanishing primordial component in the bispectrum of the Cosmic Microwave Background and large-scale structure, and the relation to specific predictions from different inflationary models.
