Publication

Fast and flexible optical propagation using the scalable angular spectrum method

2025

Abstract

Efficient wave optical propagation has been a long addressed problem in optics. One standard tool is the angular spectrum method of plane waves which solves free space propagation without approximations. Another popular method is the single step Fresnel propagation which allows scaling of the final output plane however confined to the paraxial regime. Here we present the Scalable Angular Spectrum propagation (SAS) which combines the strength of both methods while having a computational complexity proportional to three Fast Fourier Transforms (FFTs). We discuss the working limits for the SAS and how to use it for off-axis geometries.

Official source

https://infoscience.epfl.ch/entities/publication/f3dad58e-acbd-40db-8b33-eb32dcd78ff0

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2025

Abstract

Official source

https://infoscience.epfl.ch/entities/publication/f3dad58e-acbd-40db-8b33-eb32dcd78ff0

About this result

Related concepts (32)

Wavelength

In physics and mathematics, wavelength or spatial period of a wave or periodic function is the distance over which the wave's shape repeats. In other words, it is the distance between consecutive corresponding points of the same phase on the wave, such as two adjacent crests, troughs, or zero crossings. Wavelength is a characteristic of both traveling waves and standing waves, as well as other spatial wave patterns. The inverse of the wavelength is called the spatial frequency.

Sinusoidal plane wave

In physics, a sinusoidal plane wave is a special case of plane wave: a field whose value varies as a sinusoidal function of time and of the distance from some fixed plane. It is also called a monochromatic plane wave, with constant frequency (as in monochromatic radiation). For any position in space and any time , the value of such a field can be written as where is a unit-length vector, the direction of propagation of the wave, and "" denotes the dot product of two vectors.

Fourier transform

In physics and mathematics, the Fourier transform (FT) is a transform that converts a function into a form that describes the frequencies present in the original function. The output of the transform is a complex-valued function of frequency. The term Fourier transform refers to both this complex-valued function and the mathematical operation. When a distinction needs to be made the Fourier transform is sometimes called the frequency domain representation of the original function.

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