arXiv Open Access 2024

Bumblebee: Foundation Model for Particle Physics Discovery

Andrew J. Wildridge Jack P. Rodgers Ethan M. Colbert Yao yao Andreas W. Jung +1 lainnya
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Abstrak

Bumblebee is a foundation model for particle physics discovery, inspired by BERT. By removing positional encodings and embedding particle 4-vectors, Bumblebee captures both generator- and reconstruction-level information while ensuring sequence-order invariance. Pre-trained on a masked task, it improves dileptonic top quark reconstruction resolution by 10-20% and excels in downstream tasks, including toponium discrimination (AUROC 0.877) and initial state classification (AUROC 0.625). The flexibility of Bumblebee makes it suitable for a wide range of particle physics applications, especially the discovery of new particles.

Topik & Kata Kunci

Penulis (6)

A

Andrew J. Wildridge

J

Jack P. Rodgers

E

Ethan M. Colbert

Y

Yao yao

A

Andreas W. Jung

M

Miaoyuan Liu

Format Sitasi

Wildridge, A.J., Rodgers, J.P., Colbert, E.M., yao, Y., Jung, A.W., Liu, M. (2024). Bumblebee: Foundation Model for Particle Physics Discovery. https://arxiv.org/abs/2412.07867

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Informasi Jurnal
Tahun Terbit
2024
Bahasa
en
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arXiv
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Open Access ✓