Abstract
We present the results of the first prototype of a XMM‐Newton pipeline processing task, parallelized at a CCD level, which can be run in a Grid system. By using the Grid Way application and the XMM‐Newton Science Archive system, the processing of the XMM‐Newton data is distributed across the Virtual Organization (VO) constituted by three different research centres: ESAC (European Space Astronomy Centre), ESTEC (the European Space research and TEchnology Centre) and UCM (Complutense University of Madrid). The proposed application workflow adjusts well to the Grid environment, making use of the massive parallel resources in a flexible and adaptive fashion.
Highlights
The advent of Virtual Observatories [11] will allow the astronomers around the world access to an unprecedented amount of scientific data
The goal of this experiment was to determine if this approach is useful and could be applied to a grid in production, in such a way that many organizations may collaborate to support the needs of the scientific community
The first test shows a comparison of execution time when processing small, medium and large observations sequentially (SPMD approach with only one piece of data) and in parallel (CCD processing is performed in different tasks)
Summary
The advent of Virtual Observatories [11] will allow the astronomers around the world access to an unprecedented amount of scientific data The processing of these data will be carried out, in most cases, by using the computational resources supplied by the Data Provider to the scientific community. In order to optimize the XMM-Newton data processing, we have parallelized, at a CCD level (see Fig. 3), the SAS task in charge of the data reduction of the EPIC-pn camera This X-ray camera is composed of 12 CCD, and thanks to this new parallelized SAS task, the data reduction of each CCD can be performed in distinct Grid resources.
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