26–28 sept. 2022
APC, Paris
Fuseau horaire Europe/Paris

M4CAST : an emerging national collaborative effort for IA applications to accelerators physics and technologies

26 sept. 2022, 15:50
20m
Amphithéatre Pierre Gilles de Gennes (sous-sol) (APC, Paris)

Amphithéatre Pierre Gilles de Gennes (sous-sol)

APC, Paris

4 rue Elsa Morante, 75013 Paris
8 ML for particle accelerators (only if does not fit in Tracks above) Monday afternoon

Orateur

Adnan Ghribi ({CNRS}UPR3266)

Description

M4CAST, standing for "Multiphysics Modelling, Machine learning and Model-based Control in Accelerator Sciences and Technologies", is a new collaborative effort gravitating around artificial intelligence applications for accelerator physics and technologies. It intends to bridge accelerators under operation and future projects. It also tries to bring closer various scientific communities. Among them, some mainly concentrate on reliability of existing facilities, others develop the next generation accelerators ; some play with data, others design and build cutting edge beam delivering facilities. Data sharing and common methods take an important part in these developments. This effort is also integrated within a national roadmap and European emerging efforts for IA applications to particles accelerators. This presentation shows the current status of the M4CAST collaboration and the ongoing and planned developments within its frame.

Auteur principal

Adnan Ghribi ({CNRS}UPR3266)

Co-auteurs

Barbara Dalena (IRFU) Freddy Poirier (CNRS/Arronax) Frédéric Bouly (CNRS/IN2P3/LPSC) Hayg Guler (IJCLAB)

Documents de présentation