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

Machine learning for calibration drift forecasting in superconducting RF cavities

THPS135
5 Jun 2025, 15:30
2h
Exhibiton Hall A _Salmon (TWTC)

Exhibiton Hall A _Salmon

TWTC

Poster Presentation MC6.T27 Low Level RF Thursday Poster Session

Speaker

Max Herrmann (Deutsches Elektronen-Synchrotron DESY)

Description

Superconducting radio frequency (SRF) cavities in particle accelerators rely on accurately calibrated RF signals to assess cavity bandwidth and detuning, ensuring optimal performance. In practice, however, calibration drift due to humidity and temperature fluctuations over time poses a significant challenge, potentially resulting in suboptimal operation and reduced efficiency. This study explores how environmental variables such as humidity and temperature affect this phenomenon. Relative humidity, in particular, is difficult to control and has been shown to impact calibration drift strongly. Building on these insights, we introduce machine learning-based approaches to forecast both relative humidity and calibration drift in SRF cavities. By leveraging advanced algorithms and historical data on cavity operation and performance, we develop predictive models that identify patterns and trends indicative of relative humidity and calibration drift. Two approaches are presented in this work, including a polynomial NARMAX model and an attention-based deep neural network. These models enable real-time compensation and automated recalibration, improving system stability and efficiency.

Region represented Europe
Paper preparation format LaTeX

Author

Yue Sun (Deutsches Elektronen-Synchrotron DESY)

Co-authors

Andrea Bellandi (Deutsches Elektronen-Synchrotron DESY) Annika Eichler (Deutsches Elektronen-Synchrotron DESY) Bozo Richter (Deutsches Elektronen-Synchrotron DESY) Marco Diomede (Deutsches Elektronen-Synchrotron DESY) Christian Schmidt (Deutsches Elektronen-Synchrotron DESY) Holger Schlarb (Deutsches Elektronen-Synchrotron DESY) Julien Branlard (Deutsches Elektronen-Synchrotron DESY) Max Herrmann (Deutsches Elektronen-Synchrotron DESY)

Presentation materials

There are no materials yet.