Please use this identifier to cite or link to this item: https://dspace.iiti.ac.in/handle/123456789/3754
Title: The galaxy cluster ‘Pypeline’ for X-ray temperature maps: ClusterPyXT
Authors: Datta, Abhirup
Keywords: Galaxies;High level languages;Open source software;Open systems;Chandra;ClusterPyXT;Galaxy clusters;Python;Software pipeline;User-defined parameters;X-ray observations;X-ray temperatures;X rays
Issue Date: 2019
Publisher: Elsevier B.V.
Citation: Alden, B., Hallman, E. J., Rapetti, D., Burns, J. O., & Datta, A. (2019). The galaxy cluster ‘Pypeline’ for X-ray temperature maps: ClusterPyXT. Astronomy and Computing, 27, 147-155. doi:10.1016/j.ascom.2019.04.001
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 to 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. © 2019 The Authors
URI: https://doi.org/10.1016/j.ascom.2019.04.001
https://dspace.iiti.ac.in/handle/123456789/3754
ISSN: 2213-1337
Type of Material: Journal Article
Appears in Collections:Department of Astronomy, Astrophysics and Space Engineering

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