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Conseil Européen pour la Recherche Nucléaire (CERN)

Switzerland - France

CERN, the European Organisation for Nuclear Research, is the largest particle physics laboratory in the world. CERN's work helps to uncover what the universe is made of and how it works. CERN does this by providing a unique range of particle accelerator facilities to researchers, to advance the boundaries of human knowledge.

 

The Laboratory, established in 1954, has become a prime example of international collaboration. CERN's mission is to:

  • provide a unique range of particle accelerator facilities that enable research at the forefront of human knowledge

  • perform world-class research in fundamental physics.

  • unite people from all over the world to push the frontiers of science and technology, for the benefit of all.

 

Scientists, physicists and engineers at CERN use the world’s largest and most complex scientific instruments to study the basic constituents of matter – fundamental particles. CERN is home to the Large Hadron Collider (LHC), the world’s largest and most powerful particle accelerator. The experiments at the LHC produce an enormous amount of particle-collision data. This needs to be recorded, processed and analysed as efficiently as possible.

 

Over the coming years, the LHC — and its experiments — will be significantly upgraded to the High Luminosity LHC (HL-LHC). The anticipated increase in the complexity of particle-collision events, as well the higher rate of data collection, will substantially outstrip the gains expected from technology evolution. Improving the efficiency of the processing techniques will contribute to addressing the resulting resource gap.

The development of novel, scalable AI-driven solutions within CoE RAISE can play an important role in overcoming these computing challenges, providing better physics results, and enabling scientists to iterate more quickly when looking for new physics.

In CoE RAISE, CERN leads the work package on “Data driven use cases towards Exascale” (WP4), focussing on applications from research and industry that need to process big data in efficient workflows, together with Forschungszentrum Jülich, University of Iceland, The Cypress Institute,  Rigas Tehniska Universitate and Flanders Make. In WP4, CERN also leads Task 4.1 “Event reconstruction and classification at the CERN HL-LHC”, in collaboration with Rigas Tehniska Universitate.

CERN participates as contributor in WP2, in Cross-Sectional AI Methods and in WP6 in Establishment of a European RAISE network and Dissemination and communication.

WP 2 - AI- and HPC-Cross Methods at Exascale (Contributor)

Task
Task name
Role
T2.5
Cross-Sectional AI Methods
Contributor

WP 4 - Data-Driven Use-Cases towards Exascale (Leader)

Task
Task name
Role
T4.1
Event reconstruction and classification at the HL-LHC
Leader

WP 6 - Outreach and Services (Contributor)

Task
Task name
Role
T6.2
Establishment of a European RAISE network
Contributor
T6.3
Dissemination and communication
Contributor