Statistics – Computation
Scientific paper
Oct 2007
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2007aspc..376...61g&link_type=abstract
Astronomical Data Analysis Software and Systems XVI ASP Conference Series, Vol. 376, proceedings of the conference held 15-18 Oc
Statistics
Computation
Scientific paper
Many scientific projects require large computational resources. Fast CPUs, large amounts of memory, huge and reliable file systems, long term storage devices are needed to complete all the steps of a data production, reduction, management, and analysis pipeline. Distributed architectures can provide the necessary power to go through the whole work-flow. We present here the solution adopted for simulating the ESA-Planck mission. The purpose is to test a variety of scientific and instrumental hypotheses in order to evaluate the impact of possible instrumental and environmental effects on the scientific results, and consequently to refine appropriately the data processing algorithms. To achieve this goal, the rich set of shared resources and services provided by the EGEE and DEISA infrastructures have been exploited.
Gheller Claudio
Leach Samuel
Pasian Fabio
Taffoni Giuliano
Vuerli Claudio
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