Guessing the texture of magnetic samples assisted by Aharonov-Bohm effect

C. A. Valagiannopoulos, A. Alù, A. Dimakis, E. A. Marengo

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    1 Citation (Scopus)

    Abstract

    Aharonov-Bohm (AB) effect is a very significant phenomenon of quantum mechanics. It demonstrates the significance of electromagnetic potentials (proportional to fluxes) against the electromagnetic fields through the simple paradigm of two electron beams (e-beams). Even though they are both traveling through a null field space, their wave functions are not equal: the difference is in their phases and it is related to the magnetic flux through the area defined by their trajectories. Inspired by this fact, we formulate an inverse problem for the magnetic permeability of a bio-chemical sample positioned in-between two magnets. The data can be taken by measuring the phase difference between the wave functions of two split e-beams with parallel trajectories passing through the samples. The case of only radial dependence of magnetic permeability is fully solved and certain insights are provided for the arbitrary radial/azimuthal distributions.

    Original languageEnglish
    Title of host publication2016 10th European Conference on Antennas and Propagation, EuCAP 2016
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    ISBN (Electronic)9788890701863
    DOIs
    Publication statusPublished - May 31 2016
    Event10th European Conference on Antennas and Propagation, EuCAP 2016 - Davos, Switzerland
    Duration: Apr 10 2016Apr 15 2016

    Other

    Other10th European Conference on Antennas and Propagation, EuCAP 2016
    CountrySwitzerland
    CityDavos
    Period4/10/164/15/16

    Fingerprint

    Magnetic permeability
    Wave functions
    Electron beams
    textures
    Textures
    Trajectories
    trajectories
    wave functions
    electron beams
    magnetic permeability
    Quantum theory
    Magnetic flux
    Inverse problems
    radial distribution
    Electromagnetic fields
    Magnets
    magnetic flux
    quantum mechanics
    electromagnetic fields
    magnets

    Keywords

    • Aharonov-Bohm Effect
    • Inverse Problem
    • Magnetic Permeability

    ASJC Scopus subject areas

    • Radiation
    • Computer Networks and Communications
    • Instrumentation

    Cite this

    Valagiannopoulos, C. A., Alù, A., Dimakis, A., & Marengo, E. A. (2016). Guessing the texture of magnetic samples assisted by Aharonov-Bohm effect. In 2016 10th European Conference on Antennas and Propagation, EuCAP 2016 [7481443] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/EuCAP.2016.7481443

    Guessing the texture of magnetic samples assisted by Aharonov-Bohm effect. / Valagiannopoulos, C. A.; Alù, A.; Dimakis, A.; Marengo, E. A.

    2016 10th European Conference on Antennas and Propagation, EuCAP 2016. Institute of Electrical and Electronics Engineers Inc., 2016. 7481443.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Valagiannopoulos, CA, Alù, A, Dimakis, A & Marengo, EA 2016, Guessing the texture of magnetic samples assisted by Aharonov-Bohm effect. in 2016 10th European Conference on Antennas and Propagation, EuCAP 2016., 7481443, Institute of Electrical and Electronics Engineers Inc., 10th European Conference on Antennas and Propagation, EuCAP 2016, Davos, Switzerland, 4/10/16. https://doi.org/10.1109/EuCAP.2016.7481443
    Valagiannopoulos CA, Alù A, Dimakis A, Marengo EA. Guessing the texture of magnetic samples assisted by Aharonov-Bohm effect. In 2016 10th European Conference on Antennas and Propagation, EuCAP 2016. Institute of Electrical and Electronics Engineers Inc. 2016. 7481443 https://doi.org/10.1109/EuCAP.2016.7481443
    Valagiannopoulos, C. A. ; Alù, A. ; Dimakis, A. ; Marengo, E. A. / Guessing the texture of magnetic samples assisted by Aharonov-Bohm effect. 2016 10th European Conference on Antennas and Propagation, EuCAP 2016. Institute of Electrical and Electronics Engineers Inc., 2016.
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