Paper
10 November 2003 Scattered data beam analyzer
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Abstract
We provide an analysis of a data beam fitting method of N data points on a circular pupil that corresponds to its best rms fit that uses an orthogonal vectorial basis of the N data points. The solutions of many physical problems often result on finding specific solutions of basic functions Fnl(ρ,θ) with polar symmetries that also can be easily treated numerically. Unfortunately, in some other cases, the analytical solution loss its orthogonality by the experimental data discretization, therefore become inadequate for a best rms fit data. On the other hand, by introducing the Schmidt orthogonalization, we can get the best rms fit for the solution in the coefficients of the expansion and in Fnl(ρ,θ). In these cases, where the Fnl(ρ,θ) has a cumbersome convergence, we develop the rms fit based on Zernike like Polynomials and establish the proper transformation. We illustrate in more detail the method by developing a beam analyzer as an application.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Javier Sanchez-Mondragon, Jesus Escobedo-Alatorre, Ramon Rodriguez-Vera, Roberto Rojas-Laguna, Romeo J. Selvas-Aguilar, and Miguel Basurto-Pensado "Scattered data beam analyzer", Proc. SPIE 5181, Wave Optics and Photonic Devices for Optical Information Processing II, (10 November 2003); https://doi.org/10.1117/12.507399
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KEYWORDS
Zernike polynomials

Beam analyzers

Bessel beams

Bessel functions

Radon

Wavefronts

Interferometry

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