Astronomy and Astrophysics – Astrophysics
Scientific paper
Oct 2007
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2007aspc..376..417h&link_type=abstract
Astronomical Data Analysis Software and Systems XVI ASP Conference Series, Vol. 376, proceedings of the conference held 15-18 Oc
Astronomy and Astrophysics
Astrophysics
Scientific paper
Scientific workflows are usually controlled by many parameters, and assigning near-optimal values to these is often critical for efficiently finding solutions to goal-oriented problems. Such problems are typically solved by running sophisticated simulation or data analysis workflows. We present a novel sampling framework which is integrated into the Process Coordinator (ProC) -- the general purpose scientific workflow engine originally developed for the Planck Surveyor satellite mission. The framework supports the exploration of high-dimensional parameter spaces for function representation, optimization, or integration purposes. Complemented by one of several pluggable sampling algorithms, a Sampler Control Element (SCE) drives the exploration process in multiple cycles. The whole sampling framework has been tested with different sampling algorithm plug-ins, and is ready for use in astrophysical research.
Adorf Hans-Martin
Ensslin Torsten
Hovest W.
Riller Th.
Saverchenko I.
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