Analysis of multilayer optical filters using signal flow graph techniques.

Area of Science:

• Optics and Photonics
• Computational Physics

Background:

• Multilayer optical filters are crucial components in various optical systems.
• Accurate characterization of filter transmission is essential for performance prediction.

Purpose of the Study:

• To develop an efficient and versatile algorithm for computing the transmission characteristics of multilayer optical filters.
• To adapt standard feedback-network analysis techniques for optical filter modeling.

Main Methods:

• A signal flow graph approach is used to represent multilayer optical filters.
• Standard feedback-network analysis is modified into an iterative algorithm.
• The algorithm incorporates frequency, polarization, angle of incidence, refractive index, and layer thickness.

Main Results:

• The iterative algorithm efficiently computes the transmission of filters with any number of layers.
• The method allows for economical use of computer storage.
• Dispersion effects can be incorporated into the calculations.

Conclusions:

• The developed iterative algorithm provides an efficient method for characterizing multilayer optical filters.
• The algorithm's flexibility allows for detailed analysis of filter performance under various conditions.
• Working programs have been developed, demonstrating the practical applicability of the method.