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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...
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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...
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Dr Brendan O'Brien (Royal Observatory of Edinburgh)09/12/2025, 11:30
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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...
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Marco Alvarez09/12/2025, 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.
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Prof. Xavier Luri (University of Barcelona)09/12/2025, 14:30
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Prof. Andy Taylor (University of Edinburgh)09/12/2025, 15:00
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10. Towards a Gaia Science Exploitation and Data Analysis Platform: Usage Scenarios and RequirementsPedro Garcia Lario (ESA)09/12/2025, 16:00
I will describe our current plans for a Gaia Science Exploitation Platform, at least from the conceptual design, type of user profiles that we expect, usage scenarios and main science and technical requirements, relying in principle on the functionalities (to be) provided by the ESA DataLabs framework complemented potentially with external cloud resources.
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Marc Drobek (German Center for Astrophysics (DZA))09/12/2025, 16:30
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Anthony Brown (Leiden University)10/12/2025, 09:30
I will present the GaiaUnlimited project which ran between 2021 and 2024 and was aimed at determining the Gaia survey selection function and providing corresponding data and tools. The complications in determining the Gaia selection function will be summarized and the way this was handled will be reviewed. I will also provide an overview of the various tools developed within this project and...
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Steven Gough-Kelly (Jeremiah Horrocks Institute, University of Lancashire)10/12/2025, 10:00
Mira variables have been shown to follow period-age relations and are useful in studying the evolution of the Milky Way. Gaia is a unique facility in its capabilities and contributions to broad areas of Milky Way science. I will present our work on characterising long-period variables in the Gaia archive, the challenges of heteroscedastic observations and how the Gaia UK Data Mining Platform...
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Dr Sagar Malhotra (University of Barcelona)10/12/2025, 10:30
In the past decade, Gaia has doubled the known population of Milky Way star clusters. With more than 1.5 billion stars expected to receive astrometric solutions in Gaia DR4, in addition to epoch photometry and astrometry, platforms like SPACIOUS will be essential for analyzing these increasingly large datasets. In this talk, I will provide an overview of the clustering algorithms widely used...
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Dr Marc del Alcázar-Julià (University of Barcelona)10/12/2025, 11:30
We present an application of the SPACIOUS platform (https://spacious.ub.edu) to run the Besançon Galaxy Model Fast Approximate Simulations, a tool aimed at deriving Galactic parameters by comparing observed and simulated catalogs. SPACIOUS allows us to work efficiently with both large observational datasets and our own simulated catalogs. In particular, we can retrieve and handle a Gaia sample...
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Dr Alfred Castro (University of Barcelona)10/12/2025, 12:00
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Fran Jimenez-Esteban (CAB (CSIC-INTA) Madrid)10/12/2025, 14:00
The Gaia mission has revolutionized our knowledge in many fields of Astronomy. Since the beginning, Gaia and the Virtual Observatory have demonstrated to be a pairing of great value. Our group has extensively exploited this pairing for the study of white dwarf stellar evolution. Here, I will review the studies we have done so far and the main results obtained.
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Dr Rashid Yaaqib (University of Edinburgh)10/12/2025, 14:30
Data from the Gaia mission shows prominent phase-space spirals that are the signatures of disequilibrium in the Milky Way (MW) disc. In this work, we present a novel perspective on the phase-space spiral in angular momentum (AM) space. Using Gaia DR3, we detect a prominent AM spiral in the solar neighbourhood. We demonstrate that the spiral detected in the z − v z phase-space projection can be...
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Yago Ascasibar10/12/2025, 15:00
Here we present the AstroBrowser software suite, a free, open-source platform for the retrieval and analysis of multi-wavelength astronomical data. The current version allows the retrieval and visualisation of catalogues, footprints, and images stored according to the TAP, ADQL, and HiPS standards. Its scientific capabilities have been tested in the context of aperture photometry and stellar...
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Dr Nigel Hambly (Institute for Astronomy, University of Edinburgh)12/12/2025, 11:30
A summary of the week and a chance for an open discussion as to science platform design and future requirements
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Sam Leeney
Radiometers are central to radio astronomy but suffer from instrumental effects such as impedance mismatches between the antenna and receiver. Traditional calibration schemes like Dicke switching rely on mechanical or thermal reference loads, making them complex and less reliable in space environments. We present a machine learning–based calibration framework that models and removes...
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Sam Leeney
Radiometers are central to radio astronomy but suffer from instrumental effects such as impedance mismatches between the antenna and receiver. Traditional calibration schemes like Dicke switching rely on mechanical or thermal reference loads, making them complex and less reliable in space environments. We present a machine learning–based calibration framework that models and removes...
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