The Galaxy Cluster 'Pypeline' for X-ray Temperature Maps: ClusterPyXT
| Autor: | Jack O. Burns, Brian Alden, Eric J. Hallman, Abhirup Datta, David Rapetti |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
Cosmology and Nongalactic Astrophysics (astro-ph.CO)
FOS: Physical sciences Astrophysics 01 natural sciences Software 0103 physical sciences Cluster (physics) Surface brightness Instrumentation and Methods for Astrophysics (astro-ph.IM) 010303 astronomy & astrophysics Galaxy cluster Astrophysics::Galaxy Astrophysics computer.programming_language High Energy Astrophysical Phenomena (astro-ph.HE) Physics 010308 nuclear & particles physics Turbulence business.industry Astronomy and Astrophysics Python (programming language) Astrophysics - Astrophysics of Galaxies Galaxy Computer Science Applications Open source Space and Planetary Science Astrophysics of Galaxies (astro-ph.GA) business Astrophysics - High Energy Astrophysical Phenomena Astrophysics - Instrumentation and Methods for Astrophysics computer Astrophysics - Cosmology and Nongalactic Astrophysics |
| Popis: | 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. 11 pages, 7 figures, Published in Astronomy and Computing, Volume 27, April 2019 |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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