Statistical image processing in the Virtual Observatory context

Details Statistical image processing in the Virtual Observatory context Statistical image processing in the Virtual Observatory context

Jul 2009

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2009mavo.proc...95l&link_type=abstract

Multi-wavelength Astronomy and Virtual Observatory, Proceedings of the EURO-VO Workshop, held at the European Space Astronomy Ce

Astronomy and Astrophysics

Astronomy

1

Scientific paper

In an inter-disciplinary collaborative project, we have designed a framework to execute statistical image analysis techniques for multiwavelength astronomical images. This paper describes an interactive tool, AIDA_WF , which helps the astronomer to design and describe image processing workflows. This tool allows designing and executing processing steps arranged in a workflow. Blocks can be either local or remote distributed computations via web services built according to the UWS (Universal Worker Service) currently defined in the VO domain. Processing blocks are modelled with input and output parameters. Validation of input images content and parameters is included and performed using the VO Characterisation Data model. This allows first checking of inputs prior to sending the job on remote computing nodes in a distributed or grid context. The workflows can be saved and documented, and collected as well for further re-use.

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