1. Multiple Methods for Estimating the Bispectrum of the Cosmic Microwave Background with Application to the MAXIMA Data
- Author
-
A. H. Jaffe, Bahman Rabii, Julian Borrill, Jiun-Huei Proty Wu, Radek Stompor, Amedeo Balbi, Alan Heavens, C. D. Winant, George F. Smoot, Paul L. Richards, Aaron Lee, Mario G. Santos, Shaul Hanany, and Pedro G. Ferreira
- Subjects
cosmic microwave background ,Gaussian ,Cosmic microwave background ,FOS: Physical sciences ,methods : data analysis ,Astrophysics ,Astrophysics::Cosmology and Extragalactic Astrophysics ,01 natural sciences ,symbols.namesake ,Settore FIS/05 - Astronomia e Astrofisica ,Frequentist inference ,0103 physical sciences ,Statistical physics ,Limit (mathematics) ,010303 astronomy & astrophysics ,methods : statistical ,early Universe ,Physics ,010308 nuclear & particles physics ,Astrophysics (astro-ph) ,Estimator ,Astronomy and Astrophysics ,Function (mathematics) ,Space and Planetary Science ,symbols ,Maxima ,Bispectrum - Abstract
We describe different methods for estimating the bispectrum of Cosmic Microwave Background data. In particular we construct a minimum variance estimator for the flat-sky limit and compare results with previously-studied frequentist methods. Application to the MAXIMA dataset shows consistency with primordial Gaussianity. Weak quadratic non-Gaussianity is characterised by a tunable parameter $f_{NL}$, corresponding to non-Gaussianity at a level $\sim 10^{-5}f_{NL}$ (ratio of non-Gaussian to Gaussian terms), and we find limits of $|f_{NL}, 24 pages, 13 figures
- Published
- 2016