Towards HDF5: Encapsulation of Large and/or Complex Astronomical Data

Authors
  • M. Wise
  • A. Alexov
  • M. Folk
  • F. Pierfederici
  • K. Anderson
  • L. Bähren
Publication date 2011
Host editors
  • I.N. Evans
  • A. Accomazzi
  • D.J. Mink
  • A.H. Rots
Book title Astronomical Data Analysis Software and Systems XX
Book subtitle proceedings of a Conference held at Seaport World Trade Center, Boston, Massachusetts, USA, 7-11 November 2010
ISBN
  • 9781583817643
ISBN (electronic)
  • 9781583817650
Series Astronomical Society of the Pacific conference series
Event Astronomical Data Analysis Software and Systems XX
Pages (from-to) 663-666
Publisher San Francisco, CA: Astronomical Society of the Pacific
Organisations
  • Faculty of Science (FNWI) - Anton Pannekoek Institute for Astronomy (API)
Abstract
The size and complexity of astronomical data are growing at relentless rates. This increase is especially apparent in the radio community as evidenced by the data challenges faced by many of the SKA pathfinders and other major new radio telescopes such as LOFAR, EVLA, ALMA, ASKAP, MeerKAT, MWA, LWA, and eMERLIN. Enormous data rates are also becoming a challenge for large optical projects that are currently ramping up including Pan-Starrs and LSST. As progress towards meeting these challenges, ASTRON and the LOFAR project are currently exploring the use of the Hierarchical Data Format, version 5 (HDF5) for LOFAR radio data encapsulation. In this session, we brought together scientists and developers struggling with large and complex datasets as well as those groups currently exploring HDF5 implementations. This paper briefly summarizes the BoF presentations, material discussed and future goals.
Document type Conference contribution
Language English
Published at http://aspbooks.org/custom/publications/paper/442-0663.html
Other links https://ui.adsabs.harvard.edu/abs/2011ASPC..442..663W/abstract
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