SAS in ESA Datalabs: A New Platform for XMM-Newton Analysis
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arXiv
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| Autori principali: | , , , , , , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2025
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| _version_ | 1866916796868591616 |
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| author | Gulbahar, Esin G. Diez, Camille M. Ibarra, Aitor Valtchanov, Ivan Saxton, Richard Perez, Ignacio de la Calle Lopez-Miralles, Jose Ganzabal, Alejandro Gonzalez Kretschmar, Peter |
| author_facet | Gulbahar, Esin G. Diez, Camille M. Ibarra, Aitor Valtchanov, Ivan Saxton, Richard Perez, Ignacio de la Calle Lopez-Miralles, Jose Ganzabal, Alejandro Gonzalez Kretschmar, Peter |
| contents | XMM-Newton is a cornerstone mission of the European Space Agency (ESA) for X-ray astronomy, providing high-quality X-ray data for astrophysical research since the start of the century. Its Science Analysis System (SAS) has been a reliable data reduction and analysis software, evolving throughout the years to meet changing user needs, while incorporating new methods. This paper presents the XMM-SAS Datalab, a tool within the cloud-based ESA Datalabs platform, designed to enhance the interactivity and collaborative potential of SAS. By integrating SAS with a modern, Python-based JupyterLab interface, it enables shared analysis workspaces, removes the need for local software setup, and provides faster access through containerised environments and preconfigured libraries. Moving SAS to the cloud preserves a consistent software setup while eliminating installation complexities, saving time and effort. A case study of the X-ray binary Vela X-1 demonstrates that the Datalabs platform reliably replicates local SAS outputs, with minimal deviations attributed to calibration file versions. The XMM-SAS Datalab allows straightforward X-ray data analysis with collaborative process, setting the way for future adaptations in e-science platforms and multi-wavelength astronomy, while offering traceability and reproducibility of scientific results. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2506_14444 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | SAS in ESA Datalabs: A New Platform for XMM-Newton Analysis Gulbahar, Esin G. Diez, Camille M. Ibarra, Aitor Valtchanov, Ivan Saxton, Richard Perez, Ignacio de la Calle Lopez-Miralles, Jose Ganzabal, Alejandro Gonzalez Kretschmar, Peter Instrumentation and Methods for Astrophysics High Energy Astrophysical Phenomena XMM-Newton is a cornerstone mission of the European Space Agency (ESA) for X-ray astronomy, providing high-quality X-ray data for astrophysical research since the start of the century. Its Science Analysis System (SAS) has been a reliable data reduction and analysis software, evolving throughout the years to meet changing user needs, while incorporating new methods. This paper presents the XMM-SAS Datalab, a tool within the cloud-based ESA Datalabs platform, designed to enhance the interactivity and collaborative potential of SAS. By integrating SAS with a modern, Python-based JupyterLab interface, it enables shared analysis workspaces, removes the need for local software setup, and provides faster access through containerised environments and preconfigured libraries. Moving SAS to the cloud preserves a consistent software setup while eliminating installation complexities, saving time and effort. A case study of the X-ray binary Vela X-1 demonstrates that the Datalabs platform reliably replicates local SAS outputs, with minimal deviations attributed to calibration file versions. The XMM-SAS Datalab allows straightforward X-ray data analysis with collaborative process, setting the way for future adaptations in e-science platforms and multi-wavelength astronomy, while offering traceability and reproducibility of scientific results. |
| title | SAS in ESA Datalabs: A New Platform for XMM-Newton Analysis |
| topic | Instrumentation and Methods for Astrophysics High Energy Astrophysical Phenomena |
| url | https://arxiv.org/abs/2506.14444 |