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Modulation Instability and Pattern Formation in Spatially Incoherent Light Beams

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Kip, Detlef, Soljacic, Marin, Segev, Mordechai, Eugenieva, Eugenia, Christodoulides, Demetrios N.·2000·Science

Abstract

We report on the experimental observation of modulation instability of partially spatially incoherent light beams in noninstantaneous nonlinear media and show that in such systems patterns can form spontaneously from noise. Incoherent modulation instability occurs above a specific threshold that depends on the coherence properties (correlation distance) of the wave packet and leads to a periodic train of one-dimensional filaments. At a higher value of nonlinearity, the incoherent one-dimensional filaments display a two-dimensional instability and break up into self-ordered arrays of light spots. This discovery of incoherent pattern formation reflects on many other nonlinear systems beyond optics. It implies that patterns can form spontaneously (from noise) in diverse nonlinear many-body systems involving weakly correlated particles, such as atomic gases at (or near) Bose-Einstein condensation temperatures and electrons in semiconductors at the vicinity of the quantum Hall regime.

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Metadata

Authors
Kip, D., Soljacic, M., Segev, M., Eugenieva, E., & Christodoulides, D. N.
Venue
Science
Published
2000-10-20
Volume
290
Issue
5491
Pages
495-498
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W2025012159
Cited by
315
References
0
FWCI
10.80
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Modulation Instability and Pattern Formation in Spatially Incoherent Light Beams. https://app.cochat.ai/papers/10.1126/science.290.5491.495
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Kip, D., Soljacic, M., Segev, M., Eugenieva, E., & Christodoulides, D. N. (2000). Modulation Instability and Pattern Formation in Spatially Incoherent Light Beams. Science. https://doi.org/10.1126/science.290.5491.495

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.