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X-ray: Generate and Analyse (XGA) provides a Python interface to high-energy astrophysics data product generation and analysis, enabling large scale interactive/scripted exploration of X-ray sources. XMM, eROSITA, and Chandra (partial) are supported. Product classes provide powerful Python interfaces with high-energy data products.
Democratising Archival X-ray Astronomy (DAXA) is an easy-to-use Python module for downloading multi-mission X-ray telescope data and processing it into usable archives. Users can acquire entire archives, or filter observations based on ID/positions/time. Supports XMM/eROSITA/Chandra; partial support NuSTAR/Swift/Suzaku/ASCA/ROSAT/INTEGRAL/XRISM
Final repository for the project "Unsupervised Machine Learning for the Classification of Astrophysical X-ray Sources". V. S. Pérez-Díaz, J. R. Martínez-Galarza, A. Caicedo, R. D'Abrusco.
Development and experimentation repository for the project "Unsupervised Machine Learning for the Classification of Astrophysical X-ray Sources". V. S. Pérez-Díaz, J. R. Martínez-Galarza, A. Caicedo, R. D'Abrusco.