# Linking multipole vectors and pseudoentropies for CMB analysis

## TL;DR

This paper explores the relationship between multipole vectors and pseudoentropies as tools for analyzing CMB temperature fluctuations, demonstrating their application to Planck 2015 data to detect anisotropies and non-Gaussian features.

## Contribution

It establishes a connection between multipole vectors and pseudoentropies and compares their effectiveness in analyzing CMB data.

## Key findings

- Both tools effectively identify anisotropies in CMB data.
- Pseudoentropies provide a computationally efficient alternative to multipole vectors.
- Application to Planck data reveals potential non-Gaussian signals.

## Abstract

Multipole vectors and pseudoentropies provide powerful tools for a numerically fast and vivid investigation of possible statistically anisotropic, respectively non-Gaussian signs in CMB temperature fluctuations. After reviewing and linking these two conceptions we compare their application to data analysis using the Planck 2015 NILC full sky map.