1–6 Jun 2025
Taipei International Convention Center (TICC)
Asia/Taipei timezone

Advances in machine learning inference of dynamic aperture evaluation for the LHC

WEPM062
4 Jun 2025, 16:00
2h
Exhibiton Hall A _Magpie (TWTC)

Exhibiton Hall A _Magpie

TWTC

Poster Presentation MC5.D02 Nonlinear Single Particle Dynamics Resonances, Tracking, Higher Order, Dynamic Aperture, Code Developments Wednesday Poster Session

Speaker

Carlo Emilio Montanari (University of Manchester)

Description

Dynamic aperture (DA) is a crucial metric for understanding nonlinear beam dynamics and particle stability in circular accelerators like the Large Hadron Collider (LHC) and its future High-Luminosity LHC (HL-LHC) upgrade. Traditional methods for DA evaluation are computationally intensive, requiring extensive tracking of large particle ensembles over many turns. Recent advances in machine learning (ML) have shown that models, particularly architectures like Bidirectional Encoder Representations from Transformers (BERT), can significantly accelerate DA predictions while achieving accuracies comparable to traditional simulations. Enhanced uncertainty quantification techniques further improve model reliability, providing a foundation for robust active learning frameworks. This work presents the latest progress in DA inference, focusing on architectural advances, data preparation, and optimised training techniques. Applied to LHC tracking data, these improvements highlight the importance of high-quality data generation and customised training strategies for enhancing model performance and uncertainty management, paving the way for future HL-LHC studies.

Funding Agency

Work supported by the HL-LHC project.

Region represented Europe
Paper preparation format LaTeX

Author

Carlo Emilio Montanari (University of Manchester)

Co-authors

Davide Di Croce (École Polytechnique Fédérale de Lausanne) Frederik Van der Veken (European Organization for Nuclear Research) Massimo Giovannozzi (European Organization for Nuclear Research) Robert Appleby (Cockcroft Institute) Stefano Redaelli (European Organization for Nuclear Research) Tatiana Pieloni (École Polytechnique Fédérale de Lausanne)

Presentation materials

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