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Updated: Jun 16, 2026

The Generation of Higher-order Laguerre-Gauss Optical Beams for High-precision Interferometry
Published on: August 12, 2013
K-space Prony's method for generating the basis functions of multi-Gaussian beam models
Lester W Schmerr1, Ana L Lopez-Sanchez, Alexander Sedov
1Center for NDE and the Dept. of Aerospace Engineering, Iowa State University, Ames, Iowa 50011, USA. lschmerr@cnde.iastate.edu
A new K-space Prony method efficiently models ultrasonic Gaussian beams at the transducer face. This technique accurately simulates fields for various transducer types, improving ultrasonic beam modeling.
Area of Science:
- Acoustics
- Ultrasonic beam modeling
- Computational physics
Background:
- Accurate modeling of ultrasonic fields is crucial for applications like medical imaging and non-destructive testing.
- Traditional methods for ultrasonic beam modeling can be computationally intensive.
- Multi-Gaussian beam models offer a flexible approach but require efficient parameter extraction.
Purpose of the Study:
- To introduce a novel and computationally efficient method for determining the expansion coefficients of multi-Gaussian ultrasonic beam models.
- To demonstrate the applicability of the proposed method across different types of ultrasonic transducers.
- To analyze the influence of method parameters on modeling performance.
Main Methods:
- Application of Prony's method in the K-space domain for ultrasonic beam modeling.
- Direct fitting of Gaussian beams at the transducer face.
- Validation using planar, focused piston, and non-piston transducers.
Main Results:
- The K-space Prony's method achieves high computational efficiency.
- Accurate modeling of transducer fields for various transducer geometries was demonstrated.
- The method successfully captures the complex behavior of ultrasonic fields.
Conclusions:
- The K-space Prony's method provides an accurate and efficient approach for ultrasonic beam modeling.
- This method is versatile and applicable to a wide range of ultrasonic transducer designs.
- Further analysis of parameter choices can optimize the performance of the K-space Prony's method.
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