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SUrvey Network for Deep Imaging Analysis and Learning

SUrvey Network for Deep Imaging Analysis and Learning

Objective

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.
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Coordinator

RIJKSUNIVERSITEIT GRONINGEN

Address

Broerstraat 5
9712cp Groningen

Netherlands

Activity type

Higher or Secondary Education Establishments

EU Contribution

€ 1 021 497,12

Participants (8)

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THE UNIVERSITY OF BIRMINGHAM

United Kingdom

EU Contribution

€ 546 575,76

RUPRECHT-KARLS-UNIVERSITAET HEIDELBERG

Germany

EU Contribution

€ 249 216,48

OULUN YLIOPISTO

Finland

EU Contribution

€ 269 145,36

CHAMBRE DE COMMERCE ET D'INDUSTRIE DE REGION PARIS ILE-DE-FRANCE

France

EU Contribution

€ 262 875,60

UNIVERSITA DEGLI STUDI DI NAPOLI FEDERICO II

Italy

EU Contribution

€ 258 061,32

ISTITUTO NAZIONALE DI ASTROFISICA

Italy

EU Contribution

€ 258 061,32

INSTITUTO DE ASTROFISICA DE CANARIAS

Spain

EU Contribution

€ 247 872,96

UNIVERSITEIT GENT

Belgium

EU Contribution

€ 501 120

Partners (6)

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CHAMBRE DE COMMERCE ET D'INDUSTRIE DE REGION PARIS ILE-DE-FRANCE

IBM RESEARCH GMBH

Target Holding BV

ADCIS

FUNDACION CENTRO DE TECNOLOGIAS DE INTERACCION VISUAL Y COMUNICACIONES VICOMTECH

CLEVERFRANKE B.V.

Project information

Grant agreement ID: 721463

Status

Ongoing project

  • Start date

    1 April 2017

  • End date

    31 March 2021

Funded under:

H2020-EU.1.3.1.

  • Overall budget:

    € 3 614 425,92

  • EU contribution

    € 3 614 425,92

Coordinated by:

RIJKSUNIVERSITEIT GRONINGEN

Netherlands