Splinter Meeting E-Science

E-Science, E-Infrastructures, and Virtual Observatory (Machines of Discovery)

Time: Tuesday September 19, 14:00-16:30 and Thursday September 21, 14:00-16:30

Room: HS2

Organizers: Enke, Posterer, Wambsgans

Research in Astronomy and Astrophysics is increasingly dependent on the public availability and accessibility of astronomical data sets. The huge and growing amounts of data produced by large area photometric and spectroscopic surveys, data intensive instruments like LOFAR, high resolution simulations, and many other facilities pose new challenges to both information technology and data processing algorithms. The new generation of dedicated survey telescopes like LSST aim for unveiling the variable sky. Astronomers will need new methods and techniques to make use of these data-intense projects.

Application of machine learning, computational statistics or neural networks gain importance and provide a promising ansatz and results for astrophysical problems and data mining. Software development for astronomical machinery, for instrument data pipelines and analysis of data call for new approaches.

The questions of data infrastructure in astronomy and standardised access are addressed by the Virtual Observatory (VO) and several Grid and Cloud Computing projects. Together these approaches aim at providing suitable tools and research environments aiding scientists in essentially all fields of astronomy. Data management, data access, and data publication are considered key aspects.

We invite you to share your experiences and ideas, learn from successful applications, and discuss problems, obstacles and challenges in the field.


Related contributions *)

PresentationTitleType PDF
DemleitnerPublishing Solar System Data using EPN-TAP and DaCHSTalk PDF
DerschFedora Astronomy - Integration of astronomical software into a Linux distributionTalk PDF
DolagA web portal for hydrodynamical, cosmological simulationsTalk PDF
SpasovicA study of photometric errors on two different photographic plate scansPoster PDF

*) submitted abstracts, acceptance pending.