Generating complex astronomy workflows

G. Bruce Berriman, Ewa Deelman, John Good, Joseph C. Jacob, Daniel S. Katz, Anastasia C. Laity, Thomas A. Prince, Gurmeet Singh, Mei Hui Su

Research output: Chapter in Book/Report/Conference proceedingChapter


Astronomy has a rich heritage of discovery using image data sets that cover the full range of the electromagnetic spectrum. Image data sets in one frequency range have often been studied in isolation from those in other frequency ranges. This is mostly a consequence of the diverse properties of the data collections themselves. Images are delivered in different coordinate systems, map projections, spatial samplings, and image sizes, and the pixels themselves are rarely co-registered on the sky. Moreover, the spatial extent of many astronomically important structures, such as clusters of galaxies and star formation regions, is often substantially greater than that of individual images.

Original languageEnglish (US)
Title of host publicationWorkflows for e-Science
Subtitle of host publicationScientific Workflows for Grids
Number of pages20
ISBN (Print)9781846285196
StatePublished - 2007
Externally publishedYes

ASJC Scopus subject areas

  • General Computer Science


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