Inference of morphology and dynamical state of nearby -SZ galaxy clusters with Zernike polynomials
arXiv:2410.13929 · doi:10.1051/0004-6361/202452649
Abstract
We analyse the maps of the Sunyaev-Zel'dovich (SZ) signal of local galaxy clusters () observed by the satellite in order to classify their dynamical state through morphological features. To study the morphology of the cluster maps, we apply a method recently employed on mock SZ images generated from hydrodynamical simulated galaxy clusters in THE THREE HUNDRED (THE300) project. Here, we report the first application on real data. The method consists in modelling the images with a set of orthogonal functions defined on circular apertures, the Zernike polynomials. From the fit we compute a single parameter, , that quantifies the morphological features present in each image. The link between the morphology of 2D images and the dynamical state of the galaxy clusters is well known, even if not obvious. We use mock -like Compton parameter maps generated for THE300 clusters to validate our morphological analysis. These clusters, in fact, are properly classified for their dynamical state with the relaxation parameter, , by exploiting 3D information from simulations. We find a mild linear correlation of between and for THE300 clusters, mainly affected by the noise present in the maps. In order to obtain a proper dynamical-state classification for the clusters, we exploit the conversion from the parameter derived in each map in . A fraction of the order of of relaxed clusters is estimated in the selected sample. Our classification is then compared with those of previous works that have attempted to evaluate, with different indicators and/or other wavelengths, the dynamical state of the same objects. The agreement with the other works is larger than .
14 pages, 7 figures, 2 tables, Appendix A. Accepted for publication in A&A. Reproduced with permission from Astronomy & Astrophysics, copyright ESO
References in corpus (28)
- Galaxy Clusters Discovered via the Sunyaev-Zel'dovich Effect in the 2500-square-degree SPT-SZ survey
- The Atacama Cosmology Telescope: A Catalog of > 4000 Sunyaev-Zel'dovich Galaxy Clusters
- Galaxy clusters discovered with a Sunyaev-Zel'dovich effect survey
- The galaxy cluster mass scale and its impact on cosmological constraints from the cluster population
- Catalog Extraction in SZ Cluster Surveys: a matched filter approach
- Searching for Cool Core Clusters at High redshift
- The SPTpol Extended Cluster Survey
- X-Ray morphological analysis of the Planck ESZ clusters
- Cosmology and Astrophysics from Relaxed Galaxy Clusters I: Sample Selection
- A fast Bayesian approach to discrete object detection in astronomical datasets - PowellSnakes I
- The Three Hundred Project: Backsplash galaxies in simulations of clusters
- The Three Hundred Project: Dynamical state of galaxy clusters and morphology from multi-wavelength synthetic maps
- CMB/kSZ and Compton- Maps from 2500 square degrees of SPT-SZ and Planck Survey Data
- Morphology parameters: substructure identification in X-ray galaxy clusters
- Studying the properties of galaxy cluster morphology estimators
- The Three Hundred Project: quest of clusters of galaxies morphology and dynamical state through Zernike Polynomials
- Offset between X-ray and optical centers in clusters of galaxies: connecting eROSITA data and simulations
- The XXL survey XV: Evidence for dry merger driven BCG growth in XXL-100-GC X-ray clusters
- A Deep Learning Approach to Infer Galaxy Cluster Masses from Planck Compton parameter maps
- The Most Massive galaxy Clusters (M2C) across cosmic time: link between radial total mass distribution and dynamical state
- What to expect from dynamical modelling of cluster haloes II. Investigating dynamical state indicators with Random Forest
- The Three Hundred: Cluster Dynamical States and Relaxation Time Scale
- New metrics to probe the dynamical state of galaxy clusters
- Optical Photometric Indicators of Galaxy Cluster Relaxation
- The Three Hundred project: Estimating the dependence of gas filaments on the mass of galaxy clusters
- Studying galaxy cluster morphological metrics with Mock-X
- The NIKA2 Sunyaev-Zeldovich Large Program: Sample and upcoming product public release
- Morphological analysis of SZ and X-ray maps of galaxy clusters with Zernike polynomials