Astronomical Data Compression: Algorithms and Architectures

Details Astronomical Data Compression: Algorithms and Architectures Astronomical Data Compression: Algorithms and Architectures

Dec 2010

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2010aspc..434..501s&link_type=abstract

Astronomical Data Analysis Software and Systems XIX. Proceedings of a conference held October 4-8, 2009 in Sapporo, Japan. Edite

Computer Science

Performance

Scientific paper

Digital data is the lifeblood of astronomy. Data compression deals with its efficient representation and transport. As focal planes become more crowded and observing cadences more rapid, ever increasing pressure will be applied to realize near-optimum performance. A typical observational workflow comprises many network links and storage nodes, multiplying the advantage of compression dramatically. Recent work on astronomical data compression has focused on the FITS tile compression convention (http://heasarc.gsfcnasa.gov/fitsio/fpack). This birds-of-a-feather session began a broader discussion of compression-aware astronomical data handling architectures, including compression techniques and algorithms appropriate to binary and ASCII catalogs as well as to imaging data.

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