Aspen Open Jets: unlocking LHC data for foundation models in particle physics

Aspen Open Jets: unlocking LHC data for foundation models in particle physics

Foundation models are deep learning models pre-trained on large amounts of data which are capable of generalizing to multiple datasets and/or downstream tasks. This work demonstrates how data collected by the CMS experiment at the Large Hadron Collider can be useful in pre-training foundation models...

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Bibliographic Details
Main Authors: Oz Amram, Luca Anzalone, Joschka Birk, Darius A Faroughy, Anna Hallin, Gregor Kasieczka, Michael Krämer, Ian Pang, Humberto Reyes-Gonzalez, David Shih
Format: Article
Language:English
Published: IOP Publishing 2025-01-01
Series:Machine Learning: Science and Technology
Subjects:
foundation models
particle physics
transfer learning
generation
jet physics
transformer
Online Access:https://doi.org/10.1088/2632-2153/ade58f
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https://doi.org/10.1088/2632-2153/ade58f

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