Modulation-spectral method for analyzing the amplitude-phase structure of optical inhomogeneities of objects View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2001-10

AUTHORS

E. V. Zelepukina, V. A. Zubov, A. A. Merkin, T. V. Mironova

ABSTRACT

An original solution to the phase problem in optics is considered as applied to the problems of recording and analysis of the amplitude-phase structure of optical fields used for studying fine structures and inhomogeneities in steady-state objects producing effects to fractions of the wavelength period. The problem is solved by probing objects using radiation with a known structure. Intensity distributions of the probing field are detected at the exit from the object by using the modulation-spectral method directly for the spatial frequency spectrum and for the spatial frequency spectrum subjected to additional modulation formed in a special way, which is realized in the plane under study and provides visualization of the phase information contained in the light field in some form. The intensity distributions obtained make it possible to calculate the two-dimensional amplitude-phase structure of the field analyzed and, hence, the fine structure of the optical inhomogeneities of the object analyzed for the chosen probing direction. For steady-state objects, probing in a number of directions is possible. Information on the bulk structure of the inhomogeneities under study can be obtained by using the information available on the symmetry of the object. Two variants of action of the medium on probing radiation are considered. In the first one, the action is related to spatial field modulation (described by the multiplication operation); in the second one, the action leads to redistribution of radiation in the plane studied (described by the convolution operation). More... »

PAGES

613-617

Identifiers

URI

http://scigraph.springernature.com/pub.10.1134/1.1412681

DOI

http://dx.doi.org/10.1134/1.1412681

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1003040929


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