Statistics – Applications
Scientific paper
Jul 2006
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2006aspc..351..331t&link_type=abstract
Astronomical Data Analysis Software and Systems XV ASP Conference Series, Vol. 351, Proceedings of the Conference Held 2-5 Octob
Statistics
Applications
3
Scientific paper
An open system architecture for astronomical data processing and analysis is described. Most of the functionality is in the form of reusable components which can be written in any major language. A execution framework based on a component-container architecture connects all components of the system, providing distributed execution and scalability. Applications connect together components via the execution framework, and are normally written in a high level language such as Python or Java. Integration with the virtual observatory (VO) is provided for both access to remote data and services, and for publishing new data and services to the VO. An open architecture allows elements of the system to be used individually or integrated with external software.
Banse Karl
Cotton William
Garilli Bianca
Grosbøl Preben
Hook Richard R.
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