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Method and system for beam orbital angular momentum spectrum measurement based on convolutional neural network

A technology of convolutional neural network and orbital angular momentum, which is applied in the field of beam orbital angular momentum spectrum measurement, can solve problems such as low measurement accuracy, small measurement range, and complex measurement devices, and achieve short response time, convenient operation, and easy construction. Effect

Active Publication Date: 2022-06-28
BEIJING INSTITUTE OF TECHNOLOGYGY
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Problems solved by technology

The existing OAM spectrum measurement methods include interferometry, diffraction measurement and polarization measurement, etc., but they all have shortcomings such as small measurement range, low measurement accuracy, and complicated measurement devices.

Method used

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  • Method and system for beam orbital angular momentum spectrum measurement based on convolutional neural network
  • Method and system for beam orbital angular momentum spectrum measurement based on convolutional neural network
  • Method and system for beam orbital angular momentum spectrum measurement based on convolutional neural network

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Embodiment 1

[0036] Example 1: Measurement of the OAM spectrum of a single-mode carrying OAM beam

[0037] In this embodiment, based on a method and system for measuring OAM spectrum based on a convolutional neural network of the present invention, a single-mode OAM beam with an OAM state of +3 is measured. The far-field diffraction intensity distribution diagram of the vortex beam to be measured passes through the designed grating, and the trained convolutional neural network constructed by the present invention is used to calculate the image, and the obtained result is shown in Fig. 4(b). is 0.99, the corresponding OAM state is +3, and the mean square error MSE between the theoretical value and the experimental measurement value is 5.89×10 -7 .

Embodiment 2

[0038] Example 2: Measurement of the OAM spectrum of a multimode carrying OAM beam

[0039] In this embodiment, a multi-OAM mode mixed beam is randomly generated, the main OAM mode intensity ratio is {0.040:0.189:0.264:0.499}, and the corresponding OAM states are -3, -2, 0, +3, respectively. Since there are very few other OAM modes, the sum of the ratios of the above four OAM modes is less than 1. Then, the OAM spectrum is measured based on a method and system for measuring the OAM spectrum based on a convolutional neural network of the present invention. Fig. 5(a) is the far-field diffraction intensity distribution diagram of the vortex beam to be measured passing through the designed grating measured by the area array detector. The trained convolutional neural network constructed by the present invention is used to calculate the image, and the obtained results are as follows: As shown in Figure 5(b), the predicted mode ratio is {0.037:0.187:0.267:0.499}, and the correspondi...

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Abstract

The invention discloses a method and system for measuring beam orbital angular momentum spectrum based on deep learning. The light beam to be measured is incident along the optical axis of the system, and after being diffracted by the specially designed phase-only orbital angular momentum spectrum measurement grating, the area array detector is used to receive the far-field diffraction light field distribution, and then input into the volume built and trained by the present invention. The orbital angular momentum spectrum of the beam to be measured can be directly obtained by using a product neural network. The method system of the invention has a simple structure and is easy to operate, and only needs to receive the far-field diffraction spot, and the rest of the work can be handed over to the host computer to complete. Compared with the existing orbital angular momentum spectrum measurement technology, the invention has simple operation, high measurement precision and great progress.

Description

technical field [0001] The invention relates to the field of optoelectronic technology, in particular to a method and system for measuring beam orbital angular momentum spectrum based on convolutional neural network. Background technique [0002] Similar to macroscopic objects, photons also have angular momentum, which is used to describe the state of photon rotational motion. The angular momentum of photons is also divided into spin angular momentum (SAM) and orbital angular momentum (OAM), where SAM corresponds to the macroscopic circular polarization state and has two eigenvalues ​​of ±1; and OAM Describes the properties of light wavefronts, whose eigenvalues ​​can take any integer. The beam carrying the OAM has a helical wavefront with a phase singularity at the center of the beam. Previous studies have shown that if the complex amplitude expression for the beam contains a helical phase term where l is the angular quantum number, which is the eigenvalue of OAM, also ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01J1/42G01J3/28G06N3/04G06N3/08
CPCG01J1/4257G01J3/2803G06N3/04G06N3/08G01J2003/2813
Inventor 付时尧王佳琦高春清
Owner BEIJING INSTITUTE OF TECHNOLOGYGY
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