Presentations of this splinter are available:
Tuesday, September 17, 14:00-18:30
Wednesday, September 18, 14:00-18:30
Harry Enke (AIP Potsdam)
Kai Posterer (HITS)
Joachim Wambsganss (ZAH)
The importance of publicly available and accessible astronomical data sets for the feasibility and effectiveness of research in astronomy and astrophysics has been shown many times in the past years. From last year, perhaps the most spectacular example is the flood of results employing data release 2 of Gaia, facilitated at least in part by a well-designed, Virtual Observatory-based data dissemination and query infrastructure.
New instruments coming online in the next few years, from Euclid to SKA to LSST, will still require significant evolution as well as development of new methods to enable similar science success stories.
This is not merely a question of publication techniques. It also involves application machine learning, computational statistics or neural networks. Software development for astronomical machinery, for instrument data pipelines, and analysis of data still call for new approaches.
Providing suitable tools and research environments aiding scientists in essentially all fields of astronomy is a central part of astronomical research infrastructure. It will certainly only become more important, as will data management, data access, and data publication. This was recognised by the GWK initiating the NFDI (Nationale Forschungsdaten-Infrastruktur) program. Sharing the lessons learnt in astronomy and exploiting the promises of cross-disciplinary technology development using this platform will therefore be on the agenda for next years.
We invite you to share your experiences and ideas, learn from successful applications, and discuss problems, obstacles and challenges of publishing and exploiting both large and diverse data in our science.
We specially call for contributions to a session:
“Demonstrate your favorite software / tool for doing astronomy!”
Tuesday, September 17, 2019, 14:00 -14:50
O. Streicher (AIP) The IVOA Provenance standard for astrophysical data
V. Brinnel (DESY)Transient alert processing and analysis using AMPEL
(Alert Management, Photometry and Evaluation of Lightcurves
** The NFDI and Astrophysics Participation :15:00-16:50
H. Enke (AIP) Intro : The NFDI Landscape
M. Kramer (MPIfR): Astro-NFDI
J. Wambsganss (ZAH) RFII perspective
R-J. Dettmar (RUB) NFDI Expert Committee
** Machine learning 14:00 -15:30
K. Polsterer (HITS) From Photometric Redshift to Improved Weather Forecasts
Hopkins, Erica (HITS) Can crowdsourcing be replaced by GPUs?
G. Guiglion (AIP) Galactic Archeology with RAVE and APOGEE using
Convolutional Neural Networks
Gal Matijevic (AIP) Artifact detection on photographic plates with
convolutional neural networks
16:00 - 17:30
** Virtual observatory and Infrastructure
C. Dersch (U. Marburg) Applausequery - a PyVO application for highlevel
access to astronomical photoplate database
M. Demleitner (ZAH) Reducing Bottlenecks in TAP Cross-Server Queries
M. D’Isanto (HITS) ESCAPE: building the infrastructure for the next