This study focuses on modelling galaxy cluster gas profiles via a semi-parametric nodal approach. While traditional methods like the generalised Navarro-Frenk-White (gNFW) often encounter parameter degeneracy, our flexible node-based method precisely defines a cluster gas pressure profile. Using Planck space telescope data from the Coma region, our model, focused on the pressure-radius relationship, showcases enhanced flexibility over the gNFW. Bayesian analyses indicated an optimal five-node structure for the Coma cluster pressure profile.
@article{arxiv.2310.07914,
title = {A Semi-Parametric Approach to Fitting Gas Pressure Profiles of Galaxy Clusters},
author = {Kang Wang and Yvette Perrott and Richard Arnold and David Huijser},
journal= {arXiv preprint arXiv:2310.07914},
year = {2024}
}