Renders of the KM3NeT and IceCube detectors

Global Neutrino Network
Machine Learning
Working Group

This WG aims to facilitate the advancement of, and collaboration around, machine learning (ML) methods at neutrino telescope experiments, by providing a forum for openly sharing and discussing results and ideas within ML as it relates to the unique priorities and challenges of neutrino physics.

How to join

Everyone with an interest in the intersection of neutrino/astroparticle phyics and machine learning are more than welcome to join the WG by signing up to our Mattermost forum and join our meetings (see below):

Meetings

Working group meetings are intended to occur on a monthly basis. See below for past and upcoming scheduled meetings. Meetings are announced ahead of time by the coordinator for each participating experiment. Meetings are open to all members of the participating experiments.

If you wish to present your own work, please watch for calls for proposals that may be sent out before each meeting, or contact the coordinators at any time via email (see About).

Please be aware that, since the working group meetings are attended by members of multiple collaborations, so you should ensure that results that you intend to show are public, experiment-independent, and/or approved by your collaborators, if relevant.

Date Presentations Indico Type
28 July 2022
15:00 (CEST)
• GNNs for neutron tagging - Super-Kamiokande
   Antoine Beauchêne
• GNNs for reconstruction and classification in ARCA and ORCA - KM3NeT
   João Coelho
• GNN reconstruction - IceCube
   Rasmus Ørsøe
Link Zoom
10 June 2022
15:00 (CEST)
• CNN-based reconstruction at low energies - IceCube
   Shiqi Yu
• CNN + ResNet-based reconstruction in ARCA - KM3NeT
   Bernardino Spisso
• Developing a machine learning-based LArTPC data reconstruction chain - ICARUS
   Laura Domine
Link Zoom
8 April 2022
15:00 (CEST)
• Activity overview, IceCube
   Thorsten Glüsenkamp
• Activity overview, KM3NeT
   Daniel Guderian
• Open-source simulation
   Stephan Meighen-Berger
Link Zoom

Contact

Feel free to contact the coordinators if you have any problems, questions, comments, or suggestions (see About).

 


 

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