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CMB-S4 forecast on the primordial non-Gaussianity parameter of feature models

2019/02/28 by Wuhyun Sohn, J. Fergusson, James Fergusson · 1 citation
Environmental Science · Mathematics · Physics and Astronomy · #Algorithm #Anisotropy #Astrophysics #Bispectrum #Climate variability and models #Cosmic microwave background #Cosmology and Gravitation Theories #Covariance matrix #Estimator #Galaxies: Formation, Evolution, Phenomena #Mathematics #Non-Gaussianity #Physics #Planck #Quantum mechanics #Spectral density #Statistical physics #Statistics #astro-ph.CO

paper · pdf · doi:10.1103/physrevd.100.063536

published as Phys. Rev. D 100, 063536 (2019)

openalex created_date 2019/02/21 · arxiv created 2019/08/30 · openalex publication_date 2019/09/25 · arxiv updated 2019/10/02 · openalex updated_date 2026/08/05

Abstract

We present forecasts on the primordial non-Gaussianity parameter fNL of feature models for the future Cosmic Microwave Background Stage-4 (CMB-S4) experiments. The Fisher matrix of the bispectrum estimator was computed using noise covariances expected for preliminary CMB-S4 specifications including ones for the Simons Observatory. We introduce a novel method that improves the computation by orthonormalizing the covariance matrix. The most sensitive CMB-S4 experiment with 1' beam and 1 \ensuremathμK-arc min noise would yield a factor of 1.7--2.2 times more stringent constraints compared to Planck. Under the Simons Observatory baseline conditions the improvement would be about 1.3--1.6 times to Planck. We also thoroughly studied the effects of various model and experimental parameters on the forecast. Detailed analysis on the constraints coming from temperature and E-mode polarization, in particular, provided some insight into detecting oscillatory features in the CMB bispectrum.

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