Design and optimization of multipole lens and Wien filter systems

Liu, Haoning; Wang, Liping; Rouse, John A.; Munro, Eric

doi:10.1016/j.nima.2011.01.043

Cited by 10 publications

(2 citation statements)

References 8 publications

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“…Fortunately, in the case of a round electrostatic and magnetic lens, the aberration integrals can easily be found in the literature or textbooks 30,29 . In the case of a round lens, aberration integrals are straightforward to solve, but in the case of more exotic components, the differential algebra method can be a convenient viable alternative to obtaining aberration coefficients, as it does not require a special derivation to obtain a new set of aberration integrals for that type of component 44,45 . It is important to note that each time for a new magnification (i.e.…”

Section: Nanomi Lens Aberration Coefficientsmentioning

confidence: 99%

TEMGYM Advanced – NanoMi lens characterisation

Landers

Clancy

Dunin‐Borkowski

et al. 2023

Micron

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Section: Nanomi Lens Aberration Coefficientsmentioning

confidence: 99%

TEMGYM Advanced – NanoMi lens characterisation

Landers

Clancy

Dunin‐Borkowski

et al. 2023

Micron

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“…But many complex real-world engineering problems involve efficiently solving problems in areas of structural optimization, design and analysis of control systems, and scheduling. These disciplines are characterized by nonlinear, multiobjective dynamical systems that face major obstacles of getting stuck in nonoptimal solutions and premature convergence [20][21][22]. Metaheuristics is a class of powerful stochastic algorithms, which have been proved over the years as efficient and fast problem solvers [23][24][25].…”

Section: Introductionmentioning

confidence: 99%

Support vector machine firefly algorithm based optimization of lens system

et al. 2014

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Lens system design is an important factor in image quality. The main aspect of the lens system design methodology is the optimization procedure. Since optimization is a complex, nonlinear task, soft computing optimization algorithms can be used. There are many tools that can be employed to measure optical performance, but the spot diagram is the most useful. The spot diagram gives an indication of the image of a point object. In this paper, the spot size radius is considered an optimization criterion. Intelligent soft computing scheme support vector machines (SVMs) coupled with the firefly algorithm (FFA) are implemented. The performance of the proposed estimators is confirmed with the simulation results. The result of the proposed SVM-FFA model has been compared with support vector regression (SVR), artificial neural networks, and generic programming methods. The results show that the SVM-FFA model performs more accurately than the other methodologies. Therefore, SVM-FFA can be used as an efficient soft computing technique in the optimization of lens system designs.

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2014

Surface Microscopy With Low Energy Electrons

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Design and optimization of multipole lens and Wien filter systems

Cited by 10 publications

References 8 publications

TEMGYM Advanced – NanoMi lens characterisation

TEMGYM Advanced – NanoMi lens characterisation

Support vector machine firefly algorithm based optimization of lens system

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