Space astronomy science platforms focus week

Session

Current facilities

9 Dec 2025, 10:00

Virtual

Description

Gaia DMP, SPACIOUS, ESA DataLabs

3. Introduction

Dr Nigel Hambly (Institute for Astronomy, University of Edinburgh)

09/12/2025, 10:00

Science platform developments for space astronomy will be reviewed as a collaboration of initiatives in the context of the focus week. A broad overview that touches on some of the later contributions will be given, and the schedule will be summarised emphasising the opportunities to engage with developers in surgery sessions on the third day, and in the stand-up "bring and share" session on...

4. ESA DataLabs: Gaia and Euclid DataLabs, present and planned

Dr Jos de Bruijne (ESA)

09/12/2025, 10:30

In this presentation, I will introduce ESA Datalabs (https://datalabs.esa.int). ESA Datalabs is a generic science platform in development by ESA that allows scientists bringing their code to ESA science mission data. The platform is operational in “Public Moderated Beta” mode yet has already been instrumental in various projects linked to, for instance, XMM-Newton, JWST, and Euclid. This...

5. The SPACIOUS platform: design features from an end-user perspective

Dr Brendan O'Brien (IfA, University of Edinburgh)

09/12/2025, 11:30

6. Gaia visualisation services on the SPACIOUS platform

Prof. Andre Moitinho (University of Lisbon)

09/12/2025, 12:00

Interactive exploration of Gaia’s two billion row tables requires specialised visual analytics pipelines that precompute multiresolution representations and provide low-latency access on standard user hardware. Building on the Gaia Archive Visualisation Service (GAVS), we have extended this framework within SPACIOUS through a fully containerised, cloud-deployable architecture and a redesigned...

7. Gaia data analysis services on the SPACIOUS platform: GUASOM

Marco Alvarez

09/12/2025, 14:00

This talk provides an overview of the data analysis services available on the platform, focusing particularly on GUASOM, a tool that allows you to visualize Self-Organizing Maps, a powerful clustering technique. This technique groups similar stars according to their nature, acting as a dimensionality reduction technique while preserving the topological order of the input data.

8. SPACIOUS opportunities in the coming year

Prof. Xavier Luri (University of Barcelona)

09/12/2025, 14:30

9. Euclid data releases and their exploitation

Prof. Andy Taylor (University of Edinburgh)

09/12/2025, 15:00