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URLhttps://doi.org/10.18429/JACoW-IPAC2026-MOP7036
TitleSRF cavity detuning characterization by continuous wavelet transform: a time-frequency analysis
Authors
  • J. Romero Jiménez, C. Cuesta
    University of the Basque Country
  • A. Ushakov, A. Neumann, P. Echevarria
    Helmholtz-Zentrum Berlin für Materialien und Energie
  • J. Knobloch
    Helmholtz-Zentrum Berlin für Materialien und Energie, University of Siegen
AbstractSustainability is a key issue for both current and future particle accelerators. Superconducting RF cavities with high loaded quality factors play an important role in not only lowering the energy demands of particle accelerators but also the initial investment in RF amplifiers. But the narrow bandwidth associated with this high loaded quality, makes the need to minimize cavity detuning critical to maintain stable and efficient operation. In this context, characterization of microphonics detuning is essential, as it is a major error source, for implementation of effective mitigation schemes to reduce peak and rms RF power requirements. Here we analyze SRF cavity detuning using the Continuous Wavelet Transform (CWT). Unlike conventional Fourier-based approaches, the CWT enables localized time-frequency decomposition, making it well-suited for identifying transient features that influence cavity behavior. Applying the CWT to measured detuning signals from a TESLA cavity at HoBiCaT testing facility at Helmholtz-Zentrum Berlin allows us to identify dominant detuning frequencies and track their evolution over time. The resulting time-frequency maps offer a more comprehensive understanding of the underlying mechanical environment and can support the development of more robust detuning mitigation and compensation strategies for SRF systems.
Paperdownload: MOP7036.pdf
CiteBibTeX, LaTeX, Text/Word, RIS, EndNote
Conference17th International Particle Accelerator Conference
Series
LocationDeauville, France
Date17-22 May 2026
PublisherJACoW Publishing, Geneva, Switzerland
Editorial BoardEditorial Board
Online ISBN978-3-95450-252-3
Online ISSN2673-5350
Received15 April 2026
Revised14 May 2026
Accepted22 May 2026
Issued20 July 2026
DOI10.18429/JACoW-IPAC2026-MOP7036
Pages804-807