Statistical mechanics of beam self-cleaning in GRIN multimode optical fibers - Université de Limoges
Article Dans Une Revue Optics Express Année : 2022

Statistical mechanics of beam self-cleaning in GRIN multimode optical fibers

Résumé

Since its first demonstration in graded-index multimode fibers, spatial beam self-cleaning has attracted a growing research interest. It allows for the propagation of beams with a bell-shaped spatial profile, thus enabling the use of multimode fibers for several applications, from biomedical imaging to high-power beam delivery. So far, beam self-cleaning has been experimentally studied under several different experimental conditions. Whereas it has been theoretically described as the irreversible energy transfer from high-order modes towards the fundamental mode, in analogy with a beam condensation mechanism. Here, we provide a comprehensive theoretical description of beam self-cleaning, by means of a semi-classical statistical mechanics model of wave thermalization. This approach is confirmed by an extensive experimental characterization, based on a holographic mode decomposition technique, employing laser pulses with temporal durations ranging from femtoseconds up to nanoseconds. An excellent agreement between theory and experiments is found, which demonstrates that beam self-cleaning can be fully described in terms of the basic conservation laws of statistical mechanics.
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Dates et versions

hal-04670677 , version 1 (12-08-2024)

Identifiants

Citer

F. Mangini, M. Gervaziev, M. Ferraro, D. Kharenko, M. Zitelli, et al.. Statistical mechanics of beam self-cleaning in GRIN multimode optical fibers. Optics Express, 2022, 30 (7), pp.10850. ⟨10.1364/OE.449187⟩. ⟨hal-04670677⟩

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