Measurement of dc SQUID backaction noise and correlations in the kHz - MHz range

ORAL

Abstract



DC SQUIDs are used to sensitively measure magnetic flux and current signals at kHz and MHz frequencies. Despite their widespread use, direct measurements of SQUID backaction noise and correlations between imprecision and backaction in this frequency range are not available. These measurements are needed to properly design axion searches such as DMRadio. I will present our effort to directly measure dc SQUID backaction noise and correlations at kHz and MHz frequencies. These measurements are done by coupling a high Q resonator in a dilution refrigerator to a dc SQUID through a tunable transformer. The tunable transformer allows in situ variation of the SQUID-resonator coupling strength, making it possible to probe the strength of the backaction noise sourced by the SQUID amplifier, and to determine correlations with imprecision noise. I will describe the design and construction of the resonator and superconducting gradiometric transformer and present data with tuned coupling. I will also discuss implications for experiments that use dc SQUIDs such as lumped element axion searches like DMRadio.

*This work was supported by the US Department of Energy, Office of High Energy Physics program under the QuantISED program, FWP 100495.

Presenters

  • Jyotirmai Singh

    • Stanford University

Authors

  • Jyotirmai Singh

    • Stanford University
  • Victoria Ankel

    • Stanford University
  • Chelsea Bartram

    • SLAC National Accelerator Laboratory
    • Stanford University
  • Christina Bell

    • Stanford University
  • Hsiao-Mei Cho

    • SLAC National Accelerator Laboratory
  • Jason Young Ho Corbin

    • Stanford University
  • Ameya Kunder

    • Stanford University
  • Nicholas M Rapidis

    • Stanford University
  • Chiara P Salemi

    • Stanford University
  • Maria Simanovskaia

    • Stanford University
  • Elizabeth Cady van Assendelft

    • Stanford University
  • Dean Wright

    • Stanford University
  • Barkotel Zemenu

    • Yale University
  • Kent David Irwin

    • Stanford University