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The Shapiro effect in atomchip-based bosonic Josephson junctions

We analyze the emergence of Shapiro resonances in tunnel-coupled Bose-Einstein condensates, realizing a bosonic Josephson junction. Our analysis is based on an experimentally relevant implementation using magnetic double-well potentials on an atomchip. In this configuration, the potential bias (impl...

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Bibliographic Details
Main Authors: Grond, Julian (Author) , Betz, Thomas (Author) , Hohenester, Ulrich (Author) , Mauser, Norbert J. (Author) , Schmiedmayer, Jörg (Author) , Schumm, Thorsten (Author)
Format: Article (Journal)
Language:English
Published: 28 June 2011
In: New journal of physics
Year: 2011, Volume: 13, Issue: 6, Pages: 1-15
ISSN:1367-2630
DOI:10.1088/1367-2630/13/6/065026
Online Access:Verlag, kostenfrei, Volltext: https://doi.org/10.1088/1367-2630/13/6/065026
Verlag, kostenfrei, Volltext: https://iopscience.iop.org/article/10.1088/1367-2630/13/6/065026
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Author Notes:Julian Grond, Thomas Betz, Ulrich Hohenester, Norbert J. Mauser, Jörg Schmiedmayer, and Thorsten Schumm
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Summary:We analyze the emergence of Shapiro resonances in tunnel-coupled Bose-Einstein condensates, realizing a bosonic Josephson junction. Our analysis is based on an experimentally relevant implementation using magnetic double-well potentials on an atomchip. In this configuration, the potential bias (implementing the junction voltage) and the potential barrier (realizing the Josephson link) are intrinsically coupled. We show that the dynamically driven system exhibits significantly enhanced Shapiro resonances which will facilitate experimental observation. To describe the system's response to the dynamic drive, we compare a single-mode Gross-Pitaevskii (GP) description, an improved two-mode (TM) model and the self-consistent multi-configurational time-dependent Hartree equations for bosons (MCTDHB) method. We show that in the case of significant atom-atom interactions, the spatial dynamics of the involved modes has to be taken into account and only the MCTDHB method allows reliable predictions.
Item Description:Gesehen am 15.07.2022
Physical Description:Online Resource
ISSN:1367-2630
DOI:10.1088/1367-2630/13/6/065026

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