Speaker
Kang Wang
(Victoria University of Wellington)
Description
I will present a nodal approach to recovering the fundamental properties of galaxy clusters like pressure, density, and temperature. The method involves constructing piecewise functions that describe the quantities of galaxy clusters through a set of control points, which are inferred using a non-parametric Bayesian analysis. I will show an application of this method to the analysis of Planck Sunyaev-Zel’dovich (SZ) observations. Unlike the traditional parametric approach, it gets rid of the assumptions about the specific model of the cluster. This work has the potential to facilitate unbiased translations from observations to fundamental properties such as the gas pressure profile and improve our understanding of the cluster.
Primary author
Kang Wang
(Victoria University of Wellington)
Co-authors
Dr
David Huijser
(Victoria University of Wellington)
Prof.
Richard Arnold
(Victoria University of Wellington)
Dr
Yvette Perrott
(Victoria University of Wellington)
