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Nitrogen doping reduces niobium resonator surface resistance. The anti-Q slope effect, previously linked to nitrogen, can also occur in clean cavities at high resonant frequencies, offering new insights.

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Area of Science:

  • Materials Science
  • Superconductivity
  • Radio Frequency Physics

Background:

  • Nitrogen doping significantly reduces radio frequency surface resistance in niobium resonators by incorporating nitrogen interstitials.
  • The anti-Q slope, a decrease in temperature-dependent surface resistance with increasing accelerating field, is a characteristic of nitrogen-doped cavities.
  • This phenomenon has been primarily attributed to interstitial nitrogen within the niobium lattice.

Purpose of the Study:

  • To investigate the field dependence of the temperature-dependent surface resistance in niobium cavities.
  • To explore the relationship between cavity resonant frequency and the occurrence of the anti-Q slope.
  • To determine if the anti-Q slope effect can manifest in undoped (clean) niobium cavities.

Main Methods:

  • Experimental measurements of surface resistance in niobium resonators across varying accelerating fields and resonant frequencies.
  • Analysis of the temperature-dependent component of surface resistance as a function of accelerating field.
  • Comparison of the behavior in nitrogen-doped and clean niobium cavities.

Main Results:

  • The anti-Q slope effect was observed in clean niobium cavities under specific conditions.
  • The occurrence of the anti-Q slope in clean cavities is dependent on achieving a sufficiently high resonant frequency.
  • This finding challenges the exclusive attribution of the anti-Q slope to nitrogen doping.

Conclusions:

  • The anti-Q slope effect is not solely dependent on nitrogen doping and can be induced by high resonant frequencies in clean niobium.
  • This study provides a new perspective on the underlying mechanisms of the anti-Q slope.
  • The findings suggest potential avenues for optimizing superconducting radio frequency cavities by understanding frequency-dependent phenomena.