| Issue |
EPJ Web Conf.
Volume 293, 2024
mm Universe 2023 - Observing the Universe at mm Wavelengths
|
|
|---|---|---|
| Article Number | 00009 | |
| Number of page(s) | 6 | |
| DOI | https://doi.org/10.1051/epjconf/202429300009 | |
| Published online | 28 March 2024 | |
https://doi.org/10.1051/epjconf/202429300009
Galaxy clusters morphology with Zernike polynomials: The first application on Planck Compton parameter maps
1 Dipartimento di Fisica, Sapienza Università di Roma, Piazzale Aldo Moro 5, I-00185 Roma, Italy
2 Institute for Astronomy, University of Edinburgh, Royal Observatory, Edinburgh EH9 3HJ, UK
3 Departamento de Física Teórica and CIAFF, Módulo 8, Facultad de Ciencias, Universidad Autónoma de Madrid, E-28049 Madrid, Spain
4 University of Lyon, UCB Lyon 1, CNRS/IN2P3, IP2I Lyon, France
* e-mail: valentina.capalbo@uniroma1.it
Published online: 28 March 2024
The study of the morphology of 2D projected maps of galaxy clusters is a suitable approach to infer, from real data, the dynamical state of those systems. We recently developed a new method to recover the morphological features in galaxy cluster maps which consists of an analytical modelling through the Zernike polynomials. The validation of this approach was done on a set of high-resolution mock maps of the Compton parameter y. These maps are from hydrodynamically simulated galaxy clusters in The Three Hundred project. After this step, we apply the Zernike modelling on y-maps of local (z < 0.1) galaxy clusters observed by the Planck satellite. With a single parameter collecting the main information of the Zernike modelling, we classify their morphology. A set of mock Planck-like y-maps, generated from The Three Hundred clusters, is also used to validate our indicator with a proper dynamical state classification. This approach allows us to test the efficiency of the Zernike morphological modelling in evaluating the dynamical population in the real Planck sample.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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