Xenon Flash Lamps of the Bulb Type

Understanding the radiation model of a flash lamp is essential for the reflector design of a laser amplifier. Reflector design often involves several simplifying assumptions, like a point or Lambertian source; either of these assumptions may lead to significant errors in the output distribution. In practice, source non-idealities usually result in sacrificing the amplifier’s gain coefficient. We propose a novel test technique for attaining the xenon flash lamp absolute spectral intensity at various angles of view, and then accurately predict radiation distributions and generate the reflector shape. It is shown that due to the absorption of emitted radiation by the lamp itself, the behavior of the radiation model at various wavelengths is different. Numerical results of xenon plasma absorption coefficient were compared with the measured data. A reasonable agreement was obtained for the absorption coefficient parameters. Thus, this work provides a useful analytical tool for the engineering design of laser amplifier reflectors using xenon flash lamps as pumps.

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Xenon Flash Lamp for Laser Pumping in Liquid Nitrogen

Review of Scientific Instruments ◽

10.1063/1.1719235 ◽

1964 ◽

Vol 35 (11) ◽

pp. 1615-1616 ◽

Cited By ~ 1

Author(s):

J. W. Tucker ◽

J. N. Bradford

Keyword(s):

Liquid Nitrogen ◽

Flash Lamp ◽

Xenon Flash Lamp ◽

Laser Pumping ◽

Xenon Flash

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Chromatic Image Analysis for Cotton Trash and Color Measurements

Textile Research Journal ◽

10.1177/004051759706701204 ◽

1997 ◽

Vol 67 (12) ◽

pp. 881-890 ◽

Cited By ~ 26

Author(s):

Bugao Xu ◽

Chaoying Fang ◽

Robin Huang ◽

Michael D. Watson

Keyword(s):

Image Analysis ◽

Motion Control ◽

Statistical Data ◽

Vision System ◽

Ccd Camera ◽

Spatial Density ◽

Computer Vision System ◽

Color Measurements ◽

The U.S ◽

Xenon Flash

The U.S. cotton classification system has been undergoing significant changes, moving from human classing to the use of precise instruments. Along with this trend, the current research is an effort to develop a new computer vision system to measure detailed trash and color attributes of raw cotton. The system primarily consists of a color ccd camera, xenon flash light, and customized software. In this paper, we introduce a new trash and spot identification method, multidimension thresholding, and the methods for characterizing size, spatial density, shape, and color of trash and spots present in cotton samples. We report on the trash and color measurements of twelve cotton samples, including statistical data and distribution curves, and we compare the results from this system with those from other instruments such as the Spinlab and Motion Control hvi machines and the Minolta Chroma Meter CR-210. Finally, we investigate the influence of trash and spots on cotton color values.

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