The Galaxy Cluster 'Pypeline' for X-ray Temperature Maps: ClusterPyXT
Abstract
ClusterPyXT is a new software pipeline to generate spectral temperature, X-ray surface brightness, pressure, and density maps from X-ray observations of galaxy clusters. These data products help elucidate the physics of processes occurring within clusters of galaxies, including turbulence, shock fronts, nonthermal phenomena, and the overall dynamics of cluster mergers. ClusterPyXT automates the creation of these data products with minimal user interaction, and allows for rapid analyses of archival data with user defined parameters and the ability to straightforwardly incorporate additional observations. In this paper, we describe in detail the use of this code and release it as an open source Python project on GitHub.
Cite
@article{arxiv.1903.08215,
title = {The Galaxy Cluster 'Pypeline' for X-ray Temperature Maps: ClusterPyXT},
author = {Brian Alden and Eric J. Hallman and David Rapetti and Jack O. Burns and Abhirup Datta},
journal= {arXiv preprint arXiv:1903.08215},
year = {2019}
}
Comments
11 pages, 7 figures, Published in Astronomy and Computing, Volume 27, April 2019