Projet SUNDIAL (Horizon 2020, appel à projets 2016)
Action : Doctoral Networks
Panel : Physics
Statut du projet : CLOSED

Though Big Data has become common in many domains nowadays, the challenges to develop efficient and automated mining of the ever increasing data sets by new generations of data scientists are eminent. These challenges span wide swathes of society, business and research. Astronomers with their high-tech observatories are historically at the forefront of this field, but obviously, the impact in e.g. commercial applications, security, environmental monitoring and experimental research is immense. We aim to contribute to this general discussion by training a number of young scientists in the fields of computer science and astronomy, focussing on techniques of automated learning from large quantities of data to answer fundamental questions on the evolution of properties of galaxies. While these techniques will lead to major advances in our understanding of the formation and evolution of galaxies, we will also promote, in collaboration with industry, much more general applications in society, e.g. in medical imaging or remote sensing. We have put together a team of astronomers and computer scientists, from academic and private sector partners, to develop techniques to detect and classify ultra-faint galaxies and galaxy remnants in a deep survey of the Fornax cluster, and use the results to study how galaxies evolve in the dense environment of galaxy clusters. With a team of young researchers we will develop novel computer science algorithms addressing fundamental topics in galaxy formation, such as the huge dark matter fractions inferred by theory, and the lack of detected angular momentum in galaxies. The collaboration is unique - it will develop a platform for deep symbiosis of two radically different strands of approaches: purely data-driven machine learning and specialist approaches based on techniques developed in astronomy. Young scientists trained with such skills are highly demanded both in research and business.The duration of the project was originally 48 months, till 31/3/2021. An extension of 6 months till 30/9/2021 was granted. The project therefore last 54 months which is indicated in all related project activities

Mots clés : computational intelligence, data mining, galaxy classification, big data, machine learning, learning with privileged data, probabilistic modelling, galaxy formation and evolution, image analysis

Participants :
- Target holding bv (Pays-Bas) — Partner, organization partner, Organismes privés (hors enseignement), subvention : 0.0 €
- University of Birmingham (Royaume-Uni) — Partner, beneficiary, Enseignement supérieur ou secondaire, subvention : 364383.84 €
- University of Naples Federico II (Italie) — Partner, beneficiary, Enseignement supérieur ou secondaire, subvention : 258061.32 €
- IBM Research - Zurich (Suisse) — Partner, organization partner, Organismes privés (hors enseignement), subvention : 0.0 €
- Cleverfranke b.v. (Pays-Bas) — Partner, organization partner, Organismes privés (hors enseignement), subvention : 0.0 €
- Heidelberg University (Allemagne) — Partner, beneficiary, Enseignement supérieur ou secondaire, subvention : 249216.48 €
- Vicomtech (Espagne) — Partner, organization partner, Recherche, subvention : 0.0 €
- Ghent University (Belgique) — Partner, beneficiary, Enseignement supérieur ou secondaire, subvention : 501120.0 €
- Adcis (France) — Partner, organization partner, Organismes privés (hors enseignement), subvention : 0.0 €
- National Institute for Astrophysics (Italie) — Partner, beneficiary, Recherche, subvention : 258061.32 €
- University of Oulu (Finlande) — Partner, beneficiary, Enseignement supérieur ou secondaire, subvention : 269145.36 €
- Chambre de commerce et d'industrie de région Paris - Île-de-France (France) — Partner, beneficiary, Organismes publics (hors enseignement & recherche), subvention : 262875.6 €
- Instituto de Astrofísica de Canarias (Espagne) — Partner, beneficiary, Recherche, subvention : 247872.96 €
- Chambre de commerce et d'industrie de région Paris - Île-de-France (France) — Partner, organization partner, Organismes publics (hors enseignement & recherche), subvention : 0.0 €
- University of Groningen (Pays-Bas) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 1191746.64 €