Speaker
Description
Highly sensitive measurement systems based on Cryogenic Current Comparators (CCCs) and SQUID sensors enable the detection of extremely small currents and weak spill signals. However, the beam signal is often superimposed by mechanical and electrical disturbances, such as the 1.4 Hz interference introduced by the helium reliquefier, making reliable signal extraction challenging.
This work investigates and compares interference suppression methods for CCC/SQUID-based measurements. The study combines transfer-function-based simulations derived from previously identified system transfer functions* with measurement data. The approaches include conventional filtering techniques, transfer-function-based disturbance prediction, and methods using redundant sensor information to suppress correlated interference components. In addition, combinations of these approaches are investigated. Performance is evaluated using metrics such as the Signal-to-Interference Ratio (SIR), signal amplitude preservation, and spectral similarity to a reference signal. Representative results show that a combined processing approach can improve the SIR from −3.0 dB to +6.9 dB while increasing the spectral similarity to the reference signal from 0.42 to 0.94.
The results demonstrate the potential of combining complementary interference suppression techniques for high-sensitivity CCC/SQUID measurements.
Footnotes
- S. Kolbe et al., " Systematic analysis and mitigation of disturbances in beam current measurements using dual SQUID readout", Proc. IPAC'26.
Funding Agency
Supported by BMFTR under grant 05P24SHA.
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