A Semi-Parametric Approach to Fitting Gas Pressure Profiles of Galaxy Clusters

Abstract

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.

6 pages, 5 figures

References in corpus (2)

• A multi-instrument non-parametric reconstruction of the electron pressure profile in the galaxy cluster CLJ1226.9+3332
• Free-form modelling of galaxy clusters: a Bayesian and data-driven approach

Cited by in corpus (1)

• Direct power spectral density estimation from structure functions without Fourier transforms