FILAMENTATION INSTABILITY OF LASER BEAMS IN NONLOCAL NONLINEAR MEDIA
Wen Shuang-chun (文双春), Fan Dian-yuan (范滇元)
National Laboratory on High Power Laser and Physics, Shanghai Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Shanghai 201800, China
Abstract The filamentation instability of laser beams propagating in nonlocal nonlinear media is investigated. It is shown that the filamentation instability can occur in weakly nonlocal self-focusing media for any degree of nonlocality, and in defocusing media for the input light intensity exceeding a threshold related to the degree of nonlocality. A linear stability analysis is used to predict the initial growth rate of the instability. It is found that the nonlocality tends to suppress filamentation instability in self-focusing media and to stimulate filamentation instability in self-defocusing media. Numerical simulations confirm the results of the linear stability analysis and disclose a recurrence phenomenon in nonlocal self-focusing media analogous to the Fermi-Pasta-Ulam problem.
Received: 16 March 2001
Revised: 08 June 2001
Accepted manuscript online:
PACS:
42.65.Jx
(Beam trapping, self-focusing and defocusing; self-phase modulation)
(Efficiency, stability, gain, and other operational parameters)
Fund: Project supported by the National High Technology Inertial Confinement Fusion Foundation of China (Grant No. 863-416-5) and the National Natural Science Foundation of China (Grant No. 69789801).
Cite this article:
Wen Shuang-chun (文双春), Fan Dian-yuan (范滇元) FILAMENTATION INSTABILITY OF LASER BEAMS IN NONLOCAL NONLINEAR MEDIA 2001 Chinese Physics 10 1032
Altmetric calculates a score based on the online attention an article receives. Each coloured thread in the circle represents a different type of online attention. The number in the centre is the Altmetric score. Social media and mainstream news media are the main sources that calculate the score. Reference managers such as Mendeley are also tracked but do not contribute to the score. Older articles often score higher because they have had more time to get noticed. To account for this, Altmetric has included the context data for other articles of a similar age.
