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Services for Astronomical Data Management and Sharing

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eScience on Distributed Computing Infrastructure

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8500))

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Abstract

As part of the AstroGrid-PL project, we have implemented a large scale data management system for the Polish astronomical community within the framework of the PLGrid Plus project, with built-in metadata services, replication and distributed storage based on the well-established iRODS middleware. In parallel, we have implemented the Polish Virtual Observatory, which provides access, search, retrieval and in situ processing for this data using the protocols and standards established by the International Virtual Observatory Alliance (IVOA). These standards are already in use at astronomical facilities across the globe, and implementing them within the framework of AstroGrid-PL and the PLGrid Plus project enables us not only to provide advanced data retrieval services to our users, but also to leverage a large body of existing astronomical data analysis software and give our users access to external data resources provided on the same principles.

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References

  1. Becla, J., et al.: Organizing the LSST Database for Real-Time Astronomical Processing. In: SPIE, vol. 6270, p. 24 (2004)

    Google Scholar 

  2. Holties, H., Renting, A., Grange, Y.: The LOFAR long-term archive: e-infrastructure on petabyte scale. In: SPIE, vol. 8451, p. 17 (2012)

    Google Scholar 

  3. NASA: CFITSIO: A FITS File Subroutine Library, http://heasarc.gsfc.nasa.gov/fitsio/

  4. IRAF Image Reduction and Analysis Facility, http://iraf.noao.edu/

  5. Hanisch, R.: Resource Metadata for the Virtual Observatory. IVOA (2007)

    Google Scholar 

  6. AstroGrid for Deployers, http://www.astrogrid.ac.uk/RELEASE/

  7. German Astrophycical Virtual Observatory, http://www.g-vo.org/

  8. Centre de Données astronomiques de Strasbourg, http://cds.u-strasbg.fr/

  9. POLFAR, http://www.oa.uj.edu.pl/lofar/POLFAR.pdf

  10. iRODS, https://www.irods.org

  11. renci, http://www.renci.org/

  12. DICE Center, http://dice.unc.edu/

  13. iRODS iDrop, https://code.renci.org/gf/project/irodsidrop/

  14. GAVO DaCHS Software Distribution, http://vo.ari.uni-heidelberg.de/soft/dachs

  15. webdavis: Webdav interface for iRODS and SRB, http://code.google.com/p/webdavis/

  16. SAOImage DS9, http://ds9.si.edu/site/Home.html

  17. TOPCAT, http://www.star.bris.ac.uk/~mbt/topcat/

  18. Pych, W., et al.: Opracowanie merytoryczne z III etapu Usługi Badawczej pt. “Zbadanie funkcjonalności i metod integracji narzędzi astrofizycznych w ramach usługi dziedzinowej, gridowej platformy wsparcia pracy naukowej – AstroGrid-PL, na bazie kompleksowej analizy potrzeb polskiego środowiska astronomicznego w zakresie zaawansowanej infrastruktury i usług ICT”. CAMK (2013)

    Google Scholar 

  19. Pych, W., et al.: Opracowanie merytoryczne z IV etapu Usługi Badawczej pt. “Zbadanie funkcjonalności i metod integracji narzędzi astrofizycznych w ramach usługi dziedzinowej, gridowej platformy wsparcia pracy naukowej – AstroGrid-PL, na bazie kompleksowej analizy potrzeb polskiego środowiska astronomicznego w zakresie zaawansowanej infrastruktury i usług ICT”. CAMK (2014)

    Google Scholar 

  20. Greenfield, P., et al.: Astropy: Community Python Software for Astronomy. In: AAS Meeting 223, vol. 255.24 (2014)

    Google Scholar 

  21. SciPy.org, http://www.scipy.org/

  22. Lang, D., et al.: Astrometry.net: Blind Astrometric Calibration of Arbitrary Astronomical Images. AJ 139, 1782 (2010)

    Google Scholar 

  23. Boch, T., et al.: Aladin: An Open Source All-Sky Browser. ASPC 442, 683 (2011)

    Google Scholar 

  24. Bertin, E., and Arnouts, S.: SExtractor: Source Extractor. ASCL 1010.064 (2010)

    Google Scholar 

  25. NumPy, http://www.numpy.org/

  26. Laycock, S., et al.: Digital Access to a Sky Century at Harvard: Initial Photometry and Astrometry. AJ 140, 1062 (2010)

    Google Scholar 

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Kundera, T., Stachowski, G., Wierzbowski, A., Borkowski, J., Ciecieląg, P. (2014). Services for Astronomical Data Management and Sharing. In: Bubak, M., Kitowski, J., Wiatr, K. (eds) eScience on Distributed Computing Infrastructure. Lecture Notes in Computer Science, vol 8500. Springer, Cham. https://doi.org/10.1007/978-3-319-10894-0_22

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  • DOI: https://doi.org/10.1007/978-3-319-10894-0_22

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-10893-3

  • Online ISBN: 978-3-319-10894-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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