2002/08/12 by L.-Y Chiang, Lung-Yih Chiang, Pavel Naselsky +1 · 1 citation
Chemistry · Mathematics · Physics and Astronomy · #Advanced Thermodynamics and Statistical Mechanics #Algorithm #Artificial intelligence #Astrophysics #Biology #COSMIC cancer database #Computer science #Cosmic microwave background #Gaussian #Mathematics #Non-Gaussianity #Optics #Pattern recognition (psychology) #Physics #Robustness (evolution) #Statistical Mechanics and Entropy #Statistical hypothesis testing #Statistical physics #Statistics #astro-ph #thermodynamics and calorimetric analyses
paper · pdf · doi:10.1086/382211
published as Astrophys.J.602:L1,2004
arxiv created 2002/08/12 · openalex publication_date 2004/02/06 · arxiv updated 2009/12/01 · openalex created_date 2020/11/23 · openalex updated_date 2026/08/05
The identification and extraction of non-Gaussian signals are two of the main cosmological challenges facing future experimental measurements of the cosmic microwave background temperature pattern. In this Letter we present a detailed account and test the robustness of a generalized statistical measure based on a novel method of representation of Fourier phases using the return map. We demonstrate the usefulness (and limitations) of this method by testing it on controlled simulated maps, which show that it is both robust and powerful, particularly in detecting non-Gaussianity from systematics.