EPJ Web of Conferences (Jan 2022)

Morphological analysis of SZ and X-ray maps of galaxy clusters with Zernike polynomials

  • Capalbo Valentina,
  • De Petris Marco,
  • De Luca Federico,
  • Cui Weiguang,
  • Yepes Gustavo,
  • Knebe Alexander,
  • Rasia Elena,
  • Ruppin Florian,
  • Ferragamo Antonio

DOI
https://doi.org/10.1051/epjconf/202225700008
Journal volume & issue
Vol. 257
p. 00008

Abstract

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Several methods are used to evaluate, from observational data, the dynamical state of galaxy clusters. Among them, the morphological analysis of cluster images is well suited for this purpose. We report a new approach to the morphology, which consists in analytically modelling the images with a set of orthogonal functions, the Zernike polynomials (ZPs). We validated the method on mock high-resolution Compton parameter maps of synthetic galaxy clusters from The Three Hundred project. To classify the maps for their morphology we defined a single parameter, C, by combining the contribution of some ZPs in the modelling. We verify that C is linearly correlated with a combination of common morphological parameters and also with a proper 3D dynamicalstate indicator available for the synthetic clusters we used. We also show the early results of the Zernike modelling applied on Compton parameter maps of local clusters (z < 0:1) observed by the Planck satellite. At last, we report the preliminary results of this kind of morphological analysis on mock X-ray maps of The Three Hundred clusters.