Speaker
Description
Sustainability 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.
Funding Agency
Funded by the EU Horizon Europe program grant N. 101131435 and partly funded by the Global Training Program, an initiative of Basque Trade and Investment, SPRI and Basque Government (Spain)
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