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

Beam Energy Forecasting using Machine Learning at the CLEAR accelerator

THPM031
5 Jun 2025, 15:30
2h
Exhibiton Hall A _Magpie (TWTC)

Exhibiton Hall A _Magpie

TWTC

Poster Presentation MC6.D13 Machine Learning Thursday Poster Session

Speaker

Antonio Gilardi (University of Naples Federico II)

Description

In particle accelerators, accurate and stable beam parameters are crucial for experimental success. Traditional methods for measuring parameters like beam energy often rely on invasive techniques that disrupt experiments. This paper presents a novel, non-invasive machine learning-based approach to predict beam energy using parasitic measurements, enabling real-time estimation without interference.
The method employs a predictive model optimized for one-step-ahead forecasting and uses time-series data decomposition to handle complex beam energy dynamics. Recursive prediction strategies allow the model to anticipate future variations autonomously. Preliminary results from experiments at the CLEAR accelerator demonstrate the model’s ability to capture both slow trends and rapid energy shifts, adapting to diverse experimental needs.
These findings showcase the potential of machine learning to measure beam energy, offering a real-time, non-destructive alternative to conventional methods. This approach promises significant advancements in accelerator-based applications, especially where destructive techniques are impractical.

Funding Agency

The authors also acknowledge financial support from the PNRR MUR project PE0000013-FAIR and from the European Union’s Horizon Europe research and innovation programme under grant agreement No. 1010575

Region represented Europe
Paper preparation format LaTeX

Author

Antonio Gilardi (University of Naples Federico II)

Co-authors

Alexander Malyzhenkov (European Organization for Nuclear Research) Alfred Petersson (European Organization for Nuclear Research) Andrea Pollastro (Naples University Federico II and INFN) Daniele Filippetto (Istituto Nazionale di Fisica Nucleare) Davide Gamba (European Organization for Nuclear Research) Eduardo Granados (European Organization for Nuclear Research) Laurence Wroe (European Organization for Nuclear Research) Manuel Carranza-García (Universidad de Sevilla) Pierre Korysko (University of Oxford) Roberto Corsini (European Organization for Nuclear Research) Vilde Rieker (European Organization for Nuclear Research) Wilfrid Farabolini (European Organization for Nuclear Research)

Presentation materials

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