根据入射光束振幅改变自聚焦啁啾光束焦散的强度

IF 1 Q4 OPTICS

Optical Memory and Neural Networks Pub Date : 2023-11-03 DOI:10.3103/S1060992X23050181

A. V. Ustinov, A. R. Skidanova

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引用次数: 0

摘要

我们得到了沿焦散线的场的振幅和强度的表达式，焦散线是在照明广义透镜的自动聚焦过程中形成的。考虑了两种类型的入射光束振幅：幂和广义指数函数的乘积；没有奇点的分数有理振幅。随着参数之间的比率不同，强度对距离的依赖性将有不同的形式——增加、减少、最大值和最小值。同时，边值也可以不同：零、正数、无穷大。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

Changing the Intensity on the Caustic of Autofocusing Chirp Beams Depending on the Incident Beam Amplitude

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Changing the Intensity on the Caustic of Autofocusing Chirp Beams Depending on the Incident Beam Amplitude

We have obtained an expression for the amplitude and intensity of the field along the caustic line, which is formed during autofocusing when the generalized lens is illuminated. Two types of the incident beam amplitude are considered: the product of a power and generalized exponential function; fractional-rational amplitude without singularities. With different ratios between the parameters, the dependence of intensity on distance will have a diverse form – increasing, decreasing, with a maximum, with a minimum. At the same time, the edge values can also be different: zero, positive number, infinity.

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来源期刊

Optical Memory and Neural Networks OPTICS-

CiteScore

1.50

自引率

11.10%

发文量

期刊介绍： The journal covers a wide range of issues in information optics such as optical memory, mechanisms for optical data recording and processing, photosensitive materials, optical, optoelectronic and holographic nanostructures, and many other related topics. Papers on memory systems using holographic and biological structures and concepts of brain operation are also included. The journal pays particular attention to research in the field of neural net systems that may lead to a new generation of computional technologies by endowing them with intelligence.