Splinter Meeting EScience

E-Science / E-Infrastructures / Virtual Observatory / Machine Learning

Time: Tuesday September 10, 14:00-16:30 and Thursday September 12, 14:00-15:45 and 16:15-18:00 CEST (UTC+2)

Room: S13

Convenor(s): M. Demleitner [1], K. Polsterer [2], M. Hoeft [3], H. Enke [4]
[1] ARI, [2] H-ITS, [3] TLS, [4] AIP

This splinter meeting is dedicated to standard infrastructures for data dissemination and analysis, with an extra focus on Machine Learning as a particularly data-hungry field with high relevance to essentially all areas of astronomy. We welcome contributions on applying existing and emerging technologies as well as reports from the frontiers of federating information systems to facilitate astronomical research. A focus of one session in splinter meeting will be software sustainability, which always has to balance legacy support and cutting edge development, has to avoid breaking established workflows while enabling new ones. We welcome both talks on best practices and cautionary tales. A key issue we want to cover this year is infrastructure for spectral lines: databases, protocols, and clients, with a view to bring together the various existing infrastructures like VAMDC and the Virtual Observatory. Another obvious topic will address progress on making astronomical data even FAIR-er than it already is. There is the NFDI in Germany with PUNCH, ErUM Data, the formation of the DZA, and there are more astro-infrastructure projects and efforts going on.

Program

Tuesday September 10, 14:00-16:30 E-Science / E-Infrastructures / Virtual Observatory / Machine Learning (S13)

14:00  Christiane Schneide:
Research data management: Insights and progress from PUNCH4NFDI

14:25  Matthias Hoeft:
A federated infrastructure for the community: Storage+Compute4PUNCH

14:50  Elena Sacchi:
REANA: a key element for reproducible analyses in PUNCH4NFDI

15:15  Prateek Gupta:
REANA4PUNCH use cases in Astronomy

15:30  Daniel Hernandez-Lang:
Radio Astronomy Data Processing with PUNCH4NFDI Tools

15:45  Harry Enke:
Digital infrastructure for German astronomy: NFDI and DZA

Thursday September 12, 14:00-15:45 E-Science / E-Infrastructures / Virtual Observatory / Machine Learning (S13)

14:00  Iliana Isabel Cortés Pérez:
Disentangling the Interplay of the Inner Regions of AGNs Via Probabilistic Photometry

14:25  Renuka Velu:
Rotational invariance for galaxy morphology classification

14:50  Sebastian Trujillo-Gomez:
Spherinator + HiPSter: beyond the 'known unknowns' towards the 'unknown unknowns'

15:15  Johanna Riedel:
Probabilistic Reconstruction of Spectra from Photometry

Thursday September 12, 16:15-18:00 E-Science / E-Infrastructures / Virtual Observatory / Machine Learning (S13)

16:15  Sara Jamal:
Performance analysis of source classification using the Gaia DR3

16:40  Ole Streicher:
The 4MOST data model approach

17:05  Markus Demleitner:
Global Dataset Discovery in pyVO

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