Please use this identifier to cite or link to this item: https://dspace.iiti.ac.in/handle/123456789/3754
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dc.contributor.authorDatta, Abhirupen_US
dc.date.accessioned2022-03-17T01:00:00Z-
dc.date.accessioned2022-03-17T15:30:07Z-
dc.date.available2022-03-17T01:00:00Z-
dc.date.available2022-03-17T15:30:07Z-
dc.date.issued2019-
dc.identifier.citationAlden, 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.2019.04.001en_US
dc.identifier.issn2213-1337-
dc.identifier.otherEID(2-s2.0-85065611632)-
dc.identifier.urihttps://doi.org/10.1016/j.ascom.2019.04.001-
dc.identifier.urihttps://dspace.iiti.ac.in/handle/123456789/3754-
dc.description.abstractClusterPyXT 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 Authorsen_US
dc.language.isoenen_US
dc.publisherElsevier B.V.en_US
dc.sourceAstronomy and Computingen_US
dc.subjectGalaxiesen_US
dc.subjectHigh level languagesen_US
dc.subjectOpen source softwareen_US
dc.subjectOpen systemsen_US
dc.subjectChandraen_US
dc.subjectClusterPyXTen_US
dc.subjectGalaxy clustersen_US
dc.subjectPythonen_US
dc.subjectSoftware pipelineen_US
dc.subjectUser-defined parametersen_US
dc.subjectX-ray observationsen_US
dc.subjectX-ray temperaturesen_US
dc.subjectX raysen_US
dc.titleThe galaxy cluster ‘Pypeline’ for X-ray temperature maps: ClusterPyXTen_US
dc.typeJournal Articleen_US
dc.rights.licenseAll Open Access, Hybrid Gold, Green-
Appears in Collections:Department of Astronomy, Astrophysics and Space Engineering

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