Share
FollowNERSC Postdoc Publishes OmniLearn: a Foundation Model for Jets in High Energy Physics
NERSC postdoctoral researcher Vinicius Mikuni, part of the NESAP program, has published an innovative paper titled OmniLearn: A Method to Simultaneously Facilitate All Jet Physics Tasks, currently under peer review. The research introduces OmniLearn, a machine learning-based approach that advances multiple high energy physics challenges by leveraging a single, versatile model.
Jet physics, central to high-energy particle collisions, presents complex challenges due to its high-dimensional nature. Mikuni’s work demonstrates how machine learning models, trained for jet classification and generation tasks, can enhance accuracy, precision, and efficiency across various other jet-related applications and open benchmarks. The OmniLearn model shows versatility in tasks ranging from multiclass classification, anomaly detection, unfolding, and generative modeling, making it a foundational tool for high energy physics analysis with jets. The study included results evaluated across 10 different datasets.
OmniLearn is publicly available, providing researchers across high energy physics with a new resource to push the boundaries of AI-driven precision in jet substructure analysis.
About NERSC and Berkeley Lab
The National Energy Research Scientific Computing Center (NERSC) is a U.S. Department of Energy Office of Science User Facility that serves as the primary high performance computing center for scientific research sponsored by the Office of Science. Located at Lawrence Berkeley National Laboratory, NERSC serves almost 10,000 scientists at national laboratories and universities researching a wide range of problems in climate, fusion energy, materials science, physics, chemistry, computational biology, and other disciplines. Berkeley Lab is a DOE national laboratory located in Berkeley, California. It conducts unclassified scientific research and is managed by the University of California for the U.S. Department of Energy. »Learn more about computing sciences at Berkeley Lab.
