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16 -20 May
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Thursday, May 19 • 17:25 - 18:00
Jet Energy Corrections with GNN Regression using Kubeflow at CERN - Daniel Holmberg & Dejan Golubovic, CERN

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The Large Hadron Collider is the world’s largest particle accelerator measuring 27 km in circumference. It accelerates beams of particles in opposite directions almost to the speed of light before making them collide. The particles emerging from the collisions are then measured in large detectors such as the Compact Muon Solenoid. An especially important object of study are so-called jets composed of multiple particles shooting out in the same direction from the collision point. Data-driven methods are used to correct the energy values for these jets, and what we’ll present here is the utilization of Kubeflow to enable state-of-the-art graph neural network based corrections. Kubeflow’s pipeline component allows us to define our machine learning workflow in a well-structured and reproducible manner, and its built-in training operators are used to scale up the training with ease. This work is expected to pave the way for future adoption of Kubeflow among the physics community at CERN.

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avatar for Dejan Golubovic

Dejan Golubovic

Junior Fellow, CERN
Dejan Golubovic is a CERN software engineer with experience in machine learning. His interests are containerized applications, Python programming, and large-scale distributed systems. Dejan is currently working on machine learning infrastructure with Kubernetes and Kubeflow at CERN... Read More →
avatar for Daniel Holmberg

Daniel Holmberg

Technical Student, CERN
Daniel is a technical student at CERN investigating deep learning applications for the CMS experiment. A special focus of his work is on promoting the Kubeflow platform to the high energy physics community at CERN, and developing examples for running physics analyses on it. Daniel... Read More →

Thursday May 19, 2022 17:25 - 18:00 CEST
Pavilion 3, Room G | Level 2 | Central Forum Feria Valencia