CMB statistical isotropy confirmation at all scales using multipole vectors
Abstract
We present an efficient numerical code and conduct, for the first time, a null and model-independent CMB test of statistical isotropy using Multipole Vectors (MVs) at all scales. Because MVs are insensitive to the angular power spectrum , our results are independent from the assumed cosmological model. We avoid a posteriori choices and use pre-defined ranges of scales , and in our analyses. We find that all four masked Planck maps, from both 2015 and 2018 releases, are in agreement with statistical isotropy for , . For we detect anisotropies but this is indicative of simply the anisotropy in the noise: there is no anisotropy for and an increasing level of anisotropy at higher multipoles. Our findings of no large-scale anisotropies seem to be a consequence of avoiding \emph{a posteriori} statistics. We also find that the degree of anisotropy in the full sky (i.e. unmasked) maps vary enormously (between less than 5 and over 1000 standard deviations) among the different mapmaking procedures and data releases.
Keywords
Cite
@article{arxiv.1812.02654,
title = {CMB statistical isotropy confirmation at all scales using multipole vectors},
author = {Renan A. Oliveira and Thiago S. Pereira and Miguel Quartin},
journal= {arXiv preprint arXiv:1812.02654},
year = {2023}
}
Comments
v5: [erratum] replaced Figure 6 which in v4 was depicting the masked maps instead of the unmasked ones