• DocumentCode
    67807
  • Title

    Optimization of the Detection Technique for a Vibrating-Sample Magnetometer Using High- T_{\\rm c} SQUID

  • Author

    Saari, M.M. ; Sakai, K. ; Kiwa, Toshihiko ; Tsukada, Keiji

  • Author_Institution
    Grad. Sch. of Natural Sci. & Technol., Okayama Univ., Okayama, Japan
  • Volume
    23
  • Issue
    3
  • fYear
    2013
  • fDate
    Jun-13
  • Firstpage
    1600204
  • Lastpage
    1600204
  • Abstract
    We have developed a compact vibrating-sample magnetometer that uses a high-temperature superconductor superconducting quantum interference device (high-Tc SQUID) and a normal conductive pickup coil. To further increase the sensitivity of the developed system, we consider a technique to detect harmonic components induced at the pickup coil. We optimized the geometry of the pickup coil and sample to maximize the harmonic signals and compared the harmonic signals induced from different shapes of coils using simulation and experimental methods. The simulation and the experimental results agreed well, indicating that the optimized geometry of the pickup coil improves the induced harmonic components. Improvement in sensitivity with reduced mechanical noise can be attained using this detection technique.
  • Keywords
    SQUID magnetometers; geometry; magnetic sensors; optimisation; superconducting coils; vibration measurement; compact vibrating-sample magnetometer; geometry; harmonic components detection; harmonic signal maximization; high-Tc SQUID; high-temperature superconductor superconducting quantum interference device; mechanical noise reduction; normal conductive pickup coil; optimization; Coils; Harmonic analysis; Magnetometers; Noise; SQUIDs; Superconducting magnets; Vibrations; Differential coil; harmonic generation; high- $T_{rm c}$ SQUID; magnetometer;
  • fLanguage
    English
  • Journal_Title
    Applied Superconductivity, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1051-8223
  • Type

    jour

  • DOI
    10.1109/TASC.2012.2227919
  • Filename
    6353537