An estimator for statistical anisotropy from the CMB bispectrum

N. Bartolo*, E. Dimastrogiovanni, M. Liguori, S. Matarrese, A. Riotto

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

25 Citations (Scopus)

Abstract

Various data analyses of the Cosmic Microwave Background (CMB) provide observational hints of statistical isotropy breaking. Some of these features can be studied within the framework of primordial vector fields in inflationary theories which generally display some level of statistical anisotropy both in the power spectrum and in higher-order correlation functions. Motivated by these observations and the recent theoretical developments in the study of primordial vector fields, we develop the formalism necessary to extract statistical anisotropy information from the three-point function of the CMB temperature anisotropy. We employ a simplified vector field model and parametrize the bispectrum of curvature fluctuations in such a way that all the information about statistical anisotropy is encoded in some parameters lambda(L) M (which measure the anisotropic to the isotropic bispectrum amplitudes). For such a template bispectrum, we compute an optimal estimator for lambda(LM) and the expected signal-to-noise ratio. We estimate that, for f(NL) similar or equal to 30, an experiment like Planck can be sensitive to a ratio of the anisotropic to the isotropic amplitudes of the bispectrum as small as 10%. Our results are complementary to the information coming from a power spectrum analysis and particularly relevant for those models where statistical anisotropy turns out to be suppressed in the power spectrum but not negligible in the bispectrum.

Original languageEnglish
Article number029
Number of pages29
JournalJournal of Cosmology and Astroparticle Physics
Issue number1
DOIs
Publication statusPublished - 10-Jan-2012
Externally publishedYes

Keywords

  • inflation
  • non-gaussianity
  • cosmological parameters from CMBR
  • PROBE WMAP OBSERVATIONS
  • BAYESIAN-ANALYSIS
  • MICROWAVE
  • INFLATION
  • ASYMMETRIES

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