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  • Evolutionary optimization of rotational population transfer

    Author(s)
    Rouzee, Arnaud
    Ghafur, Omair
    Vidma, Konstantin
    Gijsbertsen, Arjan
    M. Shir, Ofer
    Bäck, Thomas
    Meijer, Afric
    J. van der Zande, Wim
    Parker, David
    J. J. Vrakking, Marc
    Griffith University Author(s)
    Ghafur, Omair
    Year published
    2011
    Metadata
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    Abstract
    We present experimental and numerical studies on control of rotational population transfer of NO(J = 1/2) molecules to higher rotational states. We are able to transfer 57% of the population to the J = 5/2 state and 46% to J = 9/2, in good agreement with quantum mechanical simulations. The optimal pulse shapes are composed of pulse sequences with delays corresponding to the beat frequencies of states on the rotational ladder. The evolutionary algorithm is limited by experimental constraints such as volume averaging and the finite laser intensity used, the latter to circumvent ionization. Without these constraints, near-perfect ...
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    We present experimental and numerical studies on control of rotational population transfer of NO(J = 1/2) molecules to higher rotational states. We are able to transfer 57% of the population to the J = 5/2 state and 46% to J = 9/2, in good agreement with quantum mechanical simulations. The optimal pulse shapes are composed of pulse sequences with delays corresponding to the beat frequencies of states on the rotational ladder. The evolutionary algorithm is limited by experimental constraints such as volume averaging and the finite laser intensity used, the latter to circumvent ionization. Without these constraints, near-perfect control (>98%) is possible. In addition, we show that downward control, moving molecules from high to low rotational states, is also possible.
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    Journal Title
    Physical Review A
    Volume
    84
    Issue
    3
    DOI
    https://doi.org/10.1103/PhysRevA.84.033415
    Subject
    Atomic and Molecular Physics
    Mathematical Sciences
    Physical Sciences
    Chemical Sciences
    Publication URI
    http://hdl.handle.net/10072/42777
    Collection
    • Journal articles

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