Annual Meeting 2016 of the Astronomische Gesellschaft 2016, Bochum, Germany
Wednesday, 14.09.2016, 14:45 - 16:15 und 17:00 - 18:30
Thursday, 15.09.2016, 14:45 - 16:15 und 17:00 - 18:30
H. Enke, K. Polsterer, J.K. Wambsganss
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.
Deadline for abstracts: 01.09.2016
Poster presenters (for the splinter) can give a short summary during the splinter session.
If you have any further questions, please don't hesitate to contact us
Harry Enke: henke [at] aip [dot] de
Kai Polsterer: kai.polsterer [at] h-its [dot] org
Joachim Wambsganss: jkw [at] ari [dot] uni-heidelberg [dot] de