Intelligent optical active adjustment method based on point spread function
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A technology of point spread function and adjustment method, applied in neural learning methods, complex mathematical operations, biological neural network models, etc., can solve problems that are not conducive to stable operation of equipment, reduce solution accuracy, etc., to reduce complexity and improve solution. Range, system robustness improvement effect
Active Publication Date: 2021-10-01
NANCHANG UNIV
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Problems solved by technology
The problems of this method are: (1) In order to alleviate the nonlinear ill-conditioned problem, multiple wavefront sensors with different fields of view are required, such as shack-hartmann wavefront sensors or curvature wavefront sensors
The complexity of the wavefront sensing system multiplies geometrically with the complexity of a single wavefront sensor and the number of fields of view, which is not conducive to the stable operation of the equipment; (2) The wavefront sensing is separated from the process of solving the misadjustment of the secondary mirror / primary mirror deformation , leading to the mutual amplification of wavefront sensing error and secondary mirror misalignment / primary mirror deformation solution error, reducing the solution accuracy
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Embodiment 1
[0065] see figure 1 As shown, this embodiment discloses an intelligent optical active adjustment method based on point spread function, and the specific operation steps are as follows:
[0066] Step S101: According to the sensitivity of each degree of freedom of the misalignment of the optical system, test and determine the range of the misalignment amount of the system.
[0067] If there are k degrees of freedom for each misalignment of the optical system to be adjusted, it can be expressed as (α c1 , α c2 , α c3 ,...,α ck ), that is, the offset parameter that needs to be solved. Generally, due to the different sensitivities of the misalignment degrees of freedom of different optical systems, the optical system has a fixed default misalignment range. For example, in the optical system to be adjusted, the range of the kth misalignment degree of freedom is fixed as then take To characterize its misalignment range, then the misalignment range of the optical system to be ...
Embodiment 2
[0115] see Figure 5 As shown, this embodiment discloses an intelligent optical active adjustment method based on point spread function, and the specific operation steps are as follows:
[0116] Step S201: According to the sensitivity of each degree of freedom of the misalignment of the optical system, test and determine the range of the misalignment amount of the system.
[0117] Step S202: Randomly generate misalignment parameters, and set the random field of view distribution through MATLAB and ZEMAX DDE programming, input the current misalignment parameters into the optical system model to be adjusted, perform ray tracing on the model, obtain and record the current assembly The point spread function (PSF) in the modulated state.
[0118] Step S203: Determine the ellipticity change of the point spread function under different fields of view according to the calculation algorithm of the ellipticity of the point spread function, and obtain geometric parameters such as the ra...
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Abstract
The invention discloses an intelligent optical active adjustment method based on a point spread function. The method comprises the following steps: S1, testing and determining a system misalignment range; s2, acquiring and recording a point spread function in a current installation and adjustment state; s3, determining ellipticity change of the point spread function in different view fields according to a point spread function ellipticity calculation algorithm; s4, obtaining the current ellipse rate and the Zernike coefficient of the parameter thereof, and forming an input and output data pair with a corresponding relation with the current misalignment amount; s5, building a data set composed of the Zernike coefficient and the misalignment amount according to a neural network algorithm, and obtaining a to-be-trained data set conforming to standard normal distribution; and S6, building a double-layer artificial neural network, and determining the range of each hyper-parameter of the neural network according to the sensitivity of each hyper-parameter of the neural network. According to the method for calculating the device misalignment and the primary mirror deformation by using the focal plane point spread function, the system hardware complexity is reduced, the calculation precision of the system misalignment amount/the primary mirror deformation amount is improved, and the adjustment process of an optical system is assisted.
Description
technical field [0001] The invention relates to the field of optical system adjustment, in particular to an artificial intelligence computer-aided adjustment and active optical correction method based on focal plane point spread function. Background technique [0002] In order to improve the field of view and high-resolution imaging quality of the optical system at the same time, the optical system adopts an increasingly complex optical design. Such as axial three-reflection system, off-axis reflective system, system with free optical surface, etc. The complex optical system makes it more and more difficult for traditional adjustment / passive optics to meet the strict requirements of surface shape accuracy and position accuracy. For example, the fast focal ratio primary mirror of the three-reflection system greatly improves the positioning and attitude sensitivity of the secondary mirror; The processing benchmark of the system may have a large deviation from the design bench...
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