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Sag- and slope-orthogonal bases to characterise nominally rectangular freeform surfaces
Optics Express
|November 11, 2025
Summary
For rectangular apertures, traditional orthogonal bases face computational challenges. An RDF basis offers a more efficient and versatile solution for characterizing optical surfaces.
Area of Science:
- Optical engineering
- Computational optics
- Surface metrology
Background:
- Sag- and slope-orthogonal bases are effective for circular apertures.
- Characterizing rectangular apertures with these bases presents challenges.
- Existing methods struggle with aspect ratio dependency and computational efficiency.
Purpose of the Study:
- To investigate challenges in characterizing rectangular apertures using orthogonal bases.
- To introduce and evaluate the Radial Distribution Function (RDF) basis for this purpose.
- To demonstrate the advantages of the RDF basis over traditional methods.
Main Methods:
- Gram-Schmidt process for constructing orthogonal bases.
- Analysis of separation of variables for rectangular domains.
- Application and evaluation of the RDF basis for surface characterization.
Main Results:
- Separation of variables fails for rectangular apertures, leading to aspect ratio-dependent bases.
- The Gram-Schmidt method lacks efficient recurrence relations for computation.
- The RDF basis successfully avoids these issues, providing sag- and slope-orthogonality.
Conclusions:
- The RDF basis is a superior method for characterizing rectangular optical surfaces.
- It offers computational efficiency and independence from aspect ratio.
- This method is ideal for real-time optical design constraints.
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