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TAPAS, a VO archive at the IRAM 30-m telescope

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Abstract

Astronomical observatories are today generating increasingly large volumes of data. For an efficient use of them, databases have been built following the standards proposed by the International Virtual Observatory Alliance (IVOA), providing a common protocol to query them and make them interoperable. The IRAM 30-m radio telescope, located in Sierra Nevada (Granada, Spain) is a millimeter wavelength telescope with a constantly renewed, extensive choice of instruments, and capable of covering the frequency range between 80 and 370 GHz. It is continuously producing a large amount of data thanks to the more than 200 scientific projects observed each year. The TAPAS archive at the IRAM 30-m telescope is aimed to provide public access to the headers describing the observations performed with the telescope, according to a defined data policy, making as well the technical data available to the IRAM staff members. A special emphasis has been made to make it Virtual Observatory (VO) compliant, and to offer a VO compliant web interface allowing to make the information available to the scientific community. TAPAS is built using the Django Python framework on top of a relational MySQL database, and is fully integrated with the telescope control system. The TAPAS data model (DM) is based on the Radio Astronomical DAta Model for Single dish radio telescopes (RADAMS), to allow for easy integration into the VO infrastructure. A metadata modeling layer is used by the data-filler to allow an implementation free from assumptions about the control system and the underlying database. TAPAS and its public web interface (http://tapas.iram.es) provides a scalable system that can evolve with new instruments and observing modes. A meta description of the DM has been introduced in TAPAS in order to both avoid undesired coupling between the code and the DM and to provide a better management of the archive. A subset of the header data stored in TAPAS will be made available at the CDS.

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Notes

  1. http://tapas.iram.es/

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Acknowledgements

We would like to thank the anonymous referee for the very helpful comments. The authors acknowledge support from Spanish DGI Grants AYA 2005-07516-C02-01, AYA 2005-07516-C02-02, AYA2008-06181-C02, and Junta de Andalucía grant P08-FQM-4205-PEX.

Author information

Authors and Affiliations

  1. Joint ALMA Observatory/ESO, Av. Alonso de Córdova 3107, Vitacura, Santiago, Chile

    Stephane Leon & Rainer Mauersberger

  2. Instituto de Radioastronomía Milimétrica (IRAM), Avenida Divina Pastora 7, Local 20, 18012, Granada, Spain

    Stephane Leon, Victor Espigares, Rainer Mauersberger, Walter Brunswig, Carsten Kramer & Helmut Wiesemeyer

  3. Instituto de Astrofísica de Andalucía, CSIC, Apdo. 3004, 18080, Granada, Spain

    José Enrique Ruíz, Lourdes Verdes-Montenegro & Juan de Dios Santander-Vela

  4. Max-Planck-Institute for Radio Astronomy, Auf dem Hügel 69, 53121, Bonn, Germany

    Helmut Wiesemeyer

Authors
  1. Stephane Leon
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  2. Victor Espigares
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  3. José Enrique Ruíz
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  4. Lourdes Verdes-Montenegro
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  5. Rainer Mauersberger
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  6. Walter Brunswig
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  7. Carsten Kramer
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  8. Juan de Dios Santander-Vela
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  9. Helmut Wiesemeyer
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Corresponding author

Correspondence to Stephane Leon.

Additional information

IRAM is supported by INSU/CNRS (France), MPG (Germany), and IGN (Spain).

Appendix: Data model subsystems

Appendix: Data model subsystems

In this section we present (Fig. 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21 and 22) a detailed description of each subsystem of the Data Model listed in Table 1.

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Antenna subsystem

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Sources subsystem

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Software subsystem

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Scan subsystem

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Users profile subsystem

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Switching settings subsystem

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Scan results subsystem

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Backends subsystem

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Receivers subsystem

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Observation settings subsystem

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Meteo station subsystem

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Metadata subsystem

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Leon, S., Espigares, V., Ruíz, J.E. et al. TAPAS, a VO archive at the IRAM 30-m telescope. Exp Astron 34, 65–88 (2012). https://doi.org/10.1007/s10686-012-9299-9

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