Journal of Research Institute of Science and Technology, College of Science and Technology, Nihon University
Online ISSN : 2185-4181
Print ISSN : 1884-8702
ISSN-L : 1884-8702
Volume 2021, Issue 150
Displaying 1-2 of 2 articles from this issue
ORIGINAL PAPER
  • Takeshi KUWAMOTO, Hitoshi SHIBAYAMA
    Article type: ORIGINAL PAPER
    2021 Volume 2021 Issue 150 Pages 150_1-150_6
    Published: October 31, 2021
    Released on J-STAGE: January 06, 2022
    JOURNAL FREE ACCESS

    We studied the transfer of 87Rb Bose–Einstein condensates prepared in a quadrupole-Ioffe-configuration (QUIC) magnetic trap to a far-detuned crossed-beam optical trap. The condensates could not be effectively transferred by merely switching the QUIC trap off after superposing the optical trap beams onto magnetically trapped condensates. This was attributed to the transient magnetic field generated by eddy currents, which were induced by the switching-off of the QUIC trap. We suppressed this transient field by applying a magnetic pulse field that was synchronized with the switching-off of the QUIC trap, thereby achieving the efficient transfer of condensates to the optical trap. The transfer rate was estimated to be approximately 70%, and the 1/e lifetime of the optical trap was measured to be 3.1 ± 0.2 s.

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COMPREHENSIVE PAPER
  • Shinichiro OHNUKI, Di WU, Tomohiko ASAI, Yoshito ASHIZAWA, Shuichiro I ...
    Article type: COMPREHENSIVE PAPER
    2021 Volume 2021 Issue 150 Pages 150_7-150_18
    Published: October 31, 2021
    Released on J-STAGE: January 06, 2022
    JOURNAL FREE ACCESS

    Time-domain analysis of electromagnetic signals plays an important role in studying transient properties of integrated circuits and electronic devices. We have developed a fast and efficient time-division parallel algorithm recently. In this algorithm, fast inverse Laplace transform is combined with physical solvers in complex frequency domain. Advantages of the proposed method are to perform highly reliable time-domain analysis and obtain electromagnetic signals at arbitrary time. We will apply the developed parallel algorithm to various realistic problems and verify reliability and usefulness in terms of computational time and accuracy.

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