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Structuring Metadata for the Cherenkov Telescope Array



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Servillat, Mathieu and Boisson, Catherine and Lefaucheur, Julien and Bregeon, Johan and Sanguillon, Michele and Contreras González, José Luis (2019) Structuring Metadata for the Cherenkov Telescope Array. Astronomical Society of the Pacific conference series, 521 . pp. 469-471. ISSN 1050-3390

[thumbnail of ContrerasJL26preprint.pdf]

Official URL: http://dx.doi.org/10.1007/978-3-319-93964-3_7


The landscape of ground-based gamma-ray astronomy is changing drastically with the perspective of the Cherenkov Telescope Array (CTA) composed of more than 100 Cherenkov telescopes. For the first time in this energy domain, CTA will be operated as an observatory open to the astronomy community. In this context, a structured high level data model is being developed to describe a CTA observation. The data model includes different classes of metadata on the project definition, the configuration of the instrument, the ambient conditions, the data acquisition and the data processing. This last part relies on the Provenance Data Model developed within the International Virtual Observatory Alliance (IVOA), for which CTA is one of the main use cases. The CTA data model should also be compatible with the Virtual Observatory (VO) for data diffusion. We have thus developed a web-based data diffusion prototype to test this requirement and ensure the compliance.

Item Type:Article
Additional Information:

Annual Conference for Astronomical Data Analysis Software and Systems (26th. 2016. Trieste, Italy) ASTERICS (http ://www.asterics2020.eu/) is a project supported by the European Commission Framework Programme Horizon 2020 Research and Innovation action under grant agreement n. 653477; Additional funding was provided by the INSU (Action Specifique Observatoire Virtuel, ASOV), the Action Federatrice CTA at the Observatoire de Paris and the Paris Astronomical Data Centre. This paper has gone through internal review by the CTA Consortium.

Uncontrolled Keywords:Astronomy & Astrophysics; Computer Science, Information Systems
Subjects:Sciences > Physics > Nuclear physics
ID Code:59981
Deposited On:27 Apr 2020 10:30
Last Modified:27 Apr 2020 10:42

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