Papers
Topics
Authors
Recent
Search
2000 character limit reached

A Reassessment of Hemispherical Power Asymmetry in CMB Temperature Data from Planck PR4 using LVE method

Published 24 Nov 2024 in astro-ph.CO | (2411.15786v1)

Abstract: We undertake a reassessment of one of the large angular scale anomalies observed in cosmic microwave background (CMB) temperature signal referred to as Hemispherical Power Asymmetry (HPA). For the present analysis we used \texttt{sevem} cleaned CMB maps from \emph{Planck}'s 2020 final data release (public release 4/PR4). To probe HPA, we employed the local variance estimator (LVE) method with different disc radii ranging from $1\circ$ to $90\circ$. It is reaffirmed that HPA is confined to low multipoles or large angular scales of the CMB sky. A dipole like anisotropy was found in the LVE maps with anomalous power for disc radii of $2\circ$ and upward up to $36\circ$ at $\gtrsim2\sigma$. In the range $4\circ$ to $10\circ$ none of the 600 \texttt{sevem} CMB simulations were found to have a dipole amplitude higher than the data when using LVE method as proposed. Our emphasis here was to revalidate the LVE method in various ways for its optimal usage and probe the hemispherical power asymmetry in the form of a dipole modulation field underlying CMB sky. By and large, our results are in agreement with earlier reported ones with more detailed presentation of explicit and not-so-explicit assumptions involved in the estimation process. The above reported values fall in the reliability range of LVE method after this extensive re-evaluation. We conclude that the hemispherical power asymmetry still remains as a challenge to the standard model.

Summary

No one has generated a summary of this paper yet.

Paper to Video (Beta)

No one has generated a video about this paper yet.

Whiteboard

No one has generated a whiteboard explanation for this paper yet.

Continue Learning

We haven't generated follow-up questions for this paper yet.

Collections

Sign up for free to add this paper to one or more collections.

Tweets

Sign up for free to view the 5 tweets with 32 likes about this paper.