Generating Complex Astronomy Workflows

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...

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Published inWorkflows for e-Science pp. 19 - 38
Main Authors Berriman, G. Bruce, Deelman, Ewa, Good, John, Jacob, Joseph C., Katz, Daniel S., Laity, Anastasia C., Prince, Thomas A., Singh, Gurmeet, Su, Mei-Hui
Format Book Chapter
LanguageEnglish
Published London Springer London
Subjects
Execution Service
Galactic Plane
Grid Approach
Grid Resource
Star Formation Region
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Summary: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.
ISBN:9781846285196
1846285194
DOI:10.1007/978-1-84628-757-2_3