English

Non-Gaussianity and CMB aberration and Doppler

Cosmology and Nongalactic Astrophysics 2015-06-12 v1

Abstract

The peculiar motion of an observer with respect to the CMB rest frame induces a deflection in the arrival direction of the observed photons (also known as CMB aberration) and a Doppler shift in the measured photon frequencies. As a consequence, aberration and Doppler effects induce non trivial correlations between the harmonic coefficients of the observed CMB temperature maps. In this paper we investigate whether these correlations generate a bias on Non-Gaussianity estimators fNLf_{NL}. We perform this analysis simulating a large number of temperature maps with Planck-like resolution (lmax =2000= 2000) as different realizations of the same cosmological fiducial model (WMAP7yr). We then add to these maps aberration and Doppler effects employing a modified version of the HEALPix code. We finally evaluate a generalization of the Komatsu, Spergel and Wandelt Non-Gaussianity estimator for all the simulated maps, both when peculiar velocity effects have been considered and when these phenomena have been neglected. Using the value v/c=1.23×103v/c=1.23 \times 10^{-3} for our peculiar velocity, we found that the aberration/Doppler induced Non-Gaussian signal is at most of about half of the cosmic variance σ\sigma for fNLf_{NL} both in a full-sky and in a cut-sky experimental configuration, for local, equilateral and orthogonal estimators. We conclude therefore that when estimating fNLf_{NL} it is safe to ignore aberration and Doppler effects {\it if} the primordial map is already Gaussian. More work is necessary however to assess whether a map which contains Non-Gaussianity can be significantly distorted by a peculiar velocity.

Keywords

Cite

@article{arxiv.1301.3777,
  title  = {Non-Gaussianity and CMB aberration and Doppler},
  author = {Riccardo Catena and Michele Liguori and Alessio Notari and Alessandro Renzi},
  journal= {arXiv preprint arXiv:1301.3777},
  year   = {2015}
}

Comments

13 pages, 6 figures

R2 v1 2026-06-21T23:10:33.687Z