Galaxy Morphology Science Prototype: A Case Study in Grid Computing
Scientific Motivation Investigate the dynamical state of galaxy clusters and galaxy evolution within the context of large-scale structure.Use galaxy morphology as a probe of dynamical history by calculating, for each galaxy in a cluster:
- Surface brightness
- Concentration index
- Asymmetry index
These parameters are analyzed with other indicators such as magnitude,
color, peculiar velocity, position in cluster, and cluster large-scale
structure.
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Data Resources |
Computing Resources |
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Chandra X-ray image (SAO/CXC) |
USC/ISI |
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ROSAT image (GSFC/HEASARC) |
UW-Madison/NCSA |
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DSS image (STScI/MAST) |
Fermilab |
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Galaxy cluster catalogs (NED) |
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CNOC1 cluster images and catalogs (CADC) |
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:What the VO Brings Distributed data access and Grid-based computing
make possible for the first time effective integration of multiple datasets
and real-time computing. Integration of data from diverse sources is enabled
by standardized data objects and standardized remote computing services.
Flexibility of access means that further NVO-compliant images and catalogs
can be added easily. Users can select their visualization portal (Aladin,
OASIS, DS9).
Enabling Technologies VOTable, NVO-compliant catalog and image
access, standard semantics, Grid computing infrastructure.
Future Prospects Dynamic discovery and selection of image, catalog, and computing resources. User-selectionof analysis tools and ability to publish data to the NVO framework.