論文

査読有り
2018年6月

Sensitivity Improvement of Sample Rotation Measurement Method in HTS-SQUID Magnetometer for Diamagnetic Materials

IEEE Transactions on Applied Superconductivity
  • Yuta Nakamura
  • ,
  • Ryota Isshiki
  • ,
  • Shun Takeuchi
  • ,
  • Tetsuro Hirata
  • ,
  • Kenji Sakai
  • ,
  • Toshihiko Kiwa
  • ,
  • Keiji Tsukada

28
4
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1109/TASC.2018.2810088
出版者・発行元
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC

© 2002-2011 IEEE. Measuring extremely low magnetic signals of diamagnetic materials such as water and ethanol with high sensitivity is important in various fields. Ethanol is widely used as a solvent in areas such as chemical industry and drug discovery; therefore, it is important to measure its concentration with high sensitivity. We have already reported a hybrid-type magnetometer using a high temperature superconductor superconducting quantum interference device (HTS-SQUID), which can measure and evaluate magnetic characteristics by vibrating and rotating a sample. However, the signal-to-noise ratio (SNR) of the system needs to be improved as magnetic signals from diamagnetism in water and ethanol are extremely low in magnitude. In this study, digital frequency filters were applied to the signals measured by the HTS-SQUID magnetometer with a rotating sample container in order to improve the SNR of the system, and then the magnetic properties of ethanol and water were studied. As a result, the SNR of the system improved about twice the level obtained by conventional signal processing method.

リンク情報
DOI
https://doi.org/10.1109/TASC.2018.2810088
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000431524900001&DestApp=WOS_CPL
Scopus
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85042868752&origin=inward
Scopus Citedby
https://www.scopus.com/inward/citedby.uri?partnerID=HzOxMe3b&scp=85042868752&origin=inward
ID情報
  • DOI : 10.1109/TASC.2018.2810088
  • ISSN : 1051-8223
  • eISSN : 1558-2515
  • SCOPUS ID : 85042868752
  • Web of Science ID : WOS:000431524900001

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