XGA: A module for the large-scale scientific exploitation of archival X-ray astronomy data
D. J. Turner, P. A. Giles, A. K. Romer, V. Korbina

TL;DR
XGA is an open-source Python module designed for large-scale, automated analysis of archival X-ray data from the XMM-Newton telescope, facilitating efficient scientific exploitation of X-ray sources.
Contribution
It introduces a new Python package that simplifies and automates the analysis of X-ray sources, integrating data retrieval, processing, and modeling for the first time.
Findings
Enables quick analysis of X-ray sources using all relevant observations.
Provides tools for spectral fitting and radial profile measurements.
Supports future multi-mission and multi-telescope analyses.
Abstract
The XMM Cluster Survey (XCS) have developed a new Python module, X-ray: Generate and Analyse (XGA) to provide interactive and automated analyses of X-ray emitting sources observed by the XMM-Newton space telescope. XGA only requires that a set of cleaned, processed, event lists has been created, and (optionally) that a source detector has generated region lists for the observations. XGA is centered around the concept of making all available data easily accessible and analysable. The user provides information (e.g. RA, Dec, redshift) on the source they wish to investigate, and XGA locates relevant observations and generates required data products. This allows the user to quickly and easily complete common analyses using all relevant observations, thus being left free to focus on extracting the maximum scientific gain. XGA is centered around source and sample classes, which represent…
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Taxonomy
TopicsAstronomical Observations and Instrumentation · Particle Detector Development and Performance · Astrophysical Phenomena and Observations
