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Proceedings Paper

Phase and amplitude distortions of laser radiation with pulsed clearing of artificial fog
Author(s): Liliya K. Chistyakova; Aleksandr V. Kuzikovskii
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Paper Abstract

This paper presents the results of experimental studies of nonlinear amplitude and phase distortions of sounding beams with clearing of small volume of artificial fog by CO2 laser radiation of microsecond and millisecond duration. The conclusion about clearing efficiency is drawn on the basis of measurements of the nonlinear transmission of radiation at the wavelengths 10.6 micrometers and 0.63 micrometers and photoacousitc signal immediately characterizing dissipate processes in the cleared channel. It has been shown that thermal losses at explosive drop evaporation under condition of complete clearing of fog are much less than the evaporation heat. And the clearing of artificial fog by longer pulses (1 ms) at energies, close to a threshold of explosion, but not reaching it, is of higher thermodynamic and optical efficiency, than at an explosive evaporation of the fog by microsecond pulses, because of lacking the heterogeneous secondary condensation of particles. The phase was measured using a dual beam interferometer with amplitude division. A theoretically predicted effect of the medium density increase at explosive particle evaporation has been detected for both types of pulses, which results in radiation focusing, and the lifetime of this effect is determined. The experimental data on dynamics of the refractive index in the clearing process have been obtained.

Paper Details

Date Published: 31 January 2001
PDF: 9 pages
Proc. SPIE 4167, Atmospheric Propagation, Adaptive Systems, and Laser Radar Technology for Remote Sensing, (31 January 2001); doi: 10.1117/12.413811
Show Author Affiliations
Liliya K. Chistyakova, Institute of Atmospheric Optics (Russia)
Aleksandr V. Kuzikovskii, Institute of Atmospheric Optics (Russia)


Published in SPIE Proceedings Vol. 4167:
Atmospheric Propagation, Adaptive Systems, and Laser Radar Technology for Remote Sensing
John D. Gonglewski; Gary W. Kamerman; Anton Kohnle; Ulrich Schreiber; Christian Werner, Editor(s)

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