Wavefront Sensing Using Engineered Images and Inverse Models
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Solution Overview
Problem
Existing wavefront sensing methods rely heavily on assumptions about the incoming light being a planewave, which is not always feasible, especially in applications where the wavefront is not planar.
Innovation Solution
The method involves using engineered images, such as defocused point spread functions, to reconstruct the wavefront without ambiguity, utilizing an inverse-model approach that can handle various types of aberrations and optical systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a planewave assumption is used for wavefront sensing, then the sensing method is simple and widely applicable, but it fails when the incoming wavefront is not planar
Solution Approach 1:
The patent changes the fundamental parameter of the incoming wavefront from a planewave assumption to an engineered image with controlled defocus. By introducing a known defocus amount as a parameter, the system can accurately reconstruct wavefronts that are not planar, thereby improving reliability while maintaining simplicity through the use of a controlled, known parameter rather than complex adaptive assumptions.
Solution Approach 2:
The patent applies preliminary action by intentionally defocusing the incoming wavefront before it enters the optical system under test. This pre-engineered defocus creates an engineered image that contains encoded wavefront information, allowing accurate reconstruction without requiring complex real-time adaptation during the measurement process.
2Measurement precision
If conventional wavefront sensing methods are used, then the setup is relatively simple, but it cannot handle complex aberrations and non-planar wavefronts accurately
Solution Approach 1:
The patent introduces an intermediary element - a defocus mechanism - that transforms the complex problem of measuring arbitrary wavefronts into a simpler problem of analyzing an engineered image. The defocus amount acts as a mediator that encodes wavefront information in a controlled manner, enabling precise aberration detection without requiring complex real-time adaptive optics or multiple defocused images.
3Measurement precision
If multiple defocused images are used for wavefront sensing, then wavefront reconstruction accuracy improves, but the complexity of the system and data processing increases
Solution Approach 1:
The patent segments the wavefront measurement problem into two independent parts: (1) the optical system under test, and (2) the defocus mechanism. By separating these functions, the system uses a single engineered image containing both the optical system's response and the known defocus, eliminating the need for multiple images while maintaining reconstruction accuracy through the mathematical separation of these segmented components.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach allows for accurate wavefront reconstruction and identification of optical system aberrations, even in complex scenarios, without the need for direct models or extensive physical data collection.
Implementation Method 1
The method involves using engineered images, such as defocused point spread functions, to reconstruct the wavefront
Implementation Method 2
analyzing a wave receiving system with an engineered image received by a wave receiving system
Data Source
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AI summary
A method of wavefront sensing with engineered images is provided with at least one wave receiving system. At least one desired parameter range is designated for the wave receiving system. At least one preliminary engineered image is then simulated to correspond with the desired parameter range. At least one inverse-model is then generated that outputs the desired parameter range by inputting the preliminary engineered image. A training process is then executed for the inverse-model to readily and accurately output the desired parameter range by inputting the preliminary engineered image. At least one measurement engineered image is then received in order to output at least one estimated parameter value for the wave receiving system with the inverse-model by inputting the measurement engineered image into the inverse-model.