Journal of the Illuminating Engineering Institute of Japan
Online ISSN : 2185-1506
Print ISSN : 0019-2341
ISSN-L : 0019-2341
Applications of Linear Programming to the Spectrophotometry by Means of Retarding Potential Method
Fujio KobayashiShoichiro Yamaguchi
Author information
JOURNAL FREE ACCESS

1970 Volume 54 Issue 12 Pages 681-688

Details
Abstract
In the preceding paper, the authors reported that it was possible to get the spectral energy distributions of light sources or the spectral transmittances of optical filters by solving the matrices of which the elements were the relevant values of retarding potential characteristic curves of a photoelectric tube under illumination of tested lights or transmitted lights through tested filters. In those cases, the solutions were affected remarkably by the errors which were involved in measured values so that solutions which failed to meet the problems in physics or engineering were sometimes obtained. Then, in order to get good results, the only way was to measure the current of photoelectric tube with high accuracy.
In this paper, first, we describe the principle to obtain the spectral energy distributions of light sources by means of linear programming applicable to retarding potential characteristics of a photoelectric tube. Next, we obtain the spectral transmittance of an optical interference filter as a practical example of the method above mentioned.
In computation of it, two sorts of numerical values of the retarding characteristic of the photoelectric tube used in experiment are adopoted say, one is reduced from the theoretical equation and the other is a real measured value. The final results obtained linear programming agree fairly well with those obtained by the conventional spectrophotometric method.
In general, careful efforts are made in experiments to minimize the errors involved in measured values and the least squares method is often used when unavoidable errors still exist. In some cases, however, it may be difficult to repeat the measurements many times or to measure with high accuracy. In those cases, linear programming may be useful for the data processing.
(1) S. Yamaguchi, F. Kobayashi: J: Iluum. Engng Inst. Japan, vol.52, No.4 (1968) 108
Content from these authors
© The Illuminating Engineering Institute of Japan
Next article
feedback
Top