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A new frequency shift algorithm (FSA) enables off-resonance readout for transition-edge sensors (TESs) in frequency-domain multiplexing (FDM) systems. This method mitigates intermodulation distortions without compromising spectral performance, improving x-ray detector arrays.

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Area of Science:

  • Astrophysical instrumentation
  • Superconducting detector technology
  • Advanced signal processing

Background:

  • Frequency-domain multiplexing (FDM) is crucial for reading out large arrays of transition-edge sensors (TESs).
  • Lithographic inaccuracies in superconducting LC filters limit resonator frequency precision, causing intermodulation distortions.
  • Off-resonance biasing can suppress distortions but degrades detector performance.

Purpose of the Study:

  • To develop and validate a frequency shift algorithm (FSA) for TES readout in FDM systems.
  • To enable off-resonance TES biasing while maintaining optimal bias circuit and spectral performance.
  • To assess the impact of FSA on x-ray TES microcalorimeter array performance.

Main Methods:

  • Implementation of a frequency shift algorithm (FSA) for off-resonance readout of TESs.
  • Application of FSA to a multi-pixel x-ray TES microcalorimeter array utilizing FDM.
  • Analysis of spectral performance and intermodulation distortion mitigation.

Main Results:

  • FSA successfully allows off-resonance readout of TESs, preserving on-resonance bias circuit and spectral performance.
  • Intermodulation distortion-induced line noises are shifted away from sensitive regions in multi-pixel arrays.
  • X-ray performance with FSA is comparable to single-pixel, on-resonance readout levels.

Conclusions:

  • The frequency shift algorithm (FSA) effectively mitigates intermodulation distortions in FDM TES arrays.
  • FSA offers a scalable solution for improving the performance of large-scale superconducting detector arrays.
  • This technique enhances the reliability and accuracy of TES-based x-ray detection systems.