A Diffraction from a set of concentric rings with random phase

AI Thread Summary
The discussion focuses on a Diffractive Optical Element (DOE) made of concentric rings that create random phase shifts, resulting in a diffraction-limited lens that is achromatic but inefficient. Each ring emits radiation isotropically, resembling a white surface, leading to a complex diffraction pattern characterized by J_0 Bessel functions. The combined contributions from the rings yield a non-zero intensity in the image plane, particularly on-axis, where the intensity peaks due to constructive interference. The point source response function (PSF) resembles an Airy pattern but with reduced amplitude and pronounced side lobes, indicating significant scattering of flux to wider angles. Overall, the DOE's unique properties warrant further exploration, as existing literature on this specific configuration appears limited.
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Looking for a treatment of the focussing properties of a set of concentric rings with random phase
I have been considering the properties of a Diffractive Optical Element (DOE) consisting of a very large number of concentric rings of equal (small) width, where the thicknessses of the rings are such as to produce random phase shifts in the range 0 to 2pi. I think I understand the behaviour of such a DOE - it acts as a diffraction limited lens that is achromatic but of exceedingly low efficiency. I am sure that this problem must have been tackled before but I have not been able to find a reference or a textbook treatment. Can anyone help?
random_lens.jpg
 
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Each ring emits radiation of random phase. So there is no preferred direction of radiation. It is behaving like a white surface. It looks as if the incoming energy is re-radiated isotropically.
 
Its not as simple as that. Each ring individually would produce a diffraction pattern with a wave amplitude that is a J_0 Bessel function, with a peak on the axis and lower elsewhere. At any point in the image plane the J_0 contributions from all the rings combine with random phases, but just as the steps of a random walk will almost always add up to a net displacement, the expectation value for the intensity is non-zero. And on-axis, where all the contributions are largest, the resultant intensity will be highest - a random walk of N large steps ends up further away than one with N small steps.

For a random walk with steps of equal length L the mean square displacement after N steps is N L but the present case is a not quite the classical random walk one because at a given point in the image plane the contributions from the different rings are not equal. Its a random walk with a distribution of step lengths.

The net effect is a PSF (point source response function) that has a core rather like an Airy pattern in shape but very much reduced in amplitude and with stronger side lobes. In the figure the PSF has been normalised by a factor 3N/4. Most of the flux does indeed get scattered to wide angles but there is a central spot far brighter than the background.

random_rings_psf.jpg
 
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