Orateur
Description
The Zernike polynomials has been recently used to model 2D projection maps of galaxy clusters to recover their morphological features. The study of the morphology of clusters maps is, in fact, a well suited approach used to infer, from real data, the dynamical state of those systems. After the validation of the Zernike polynomials as suitable tools to constrain galaxy clusters morphologies, done on a set of mock maps of clusters in THE THREE HUNDRED project, we present here the first application of this method on real data. We analyzed Compton parameter maps of local ($z < 0.1$) galaxy clusters observed by the Planck satellite and we use a single parameter, defined from the Zernike modeling, to quantify morphological differences between them. A set of Planck-like Compton parameter maps, realized for THE THREE HUNDRED clusters, is also used to correlate our analysis with a proper dynamical state classification achievable, in that case, from 3D information. This approach allow to test the efficiency of the Zernike morphological analysis in discriminating different dynamical populations in the real Planck sample.
