Ion microscopy with evolutionary-algorithm-based autofocusing
Haniel FE, Hedewig L, Schröder H, Kling MF, Bergues B (2023)
Publication Type: Journal article
Publication year: 2023
Journal
Book Volume: 5
Article Number: 015015
Journal Issue: 1
Abstract
Ion microscopy is an established technique for laser focus diagnostics and the accurate, intensity-resolved measurement of laser ionization processes. In the present feasibility study, we discuss a new ion microscope design, which improves its resolution across a large range of magnifications and simplifies its operation. Instead of the common two einzel lens configuration, which is usually optimized for a fixed magnification, we propose a generic design consisting of an array of equally spaced ring electrodes, whose individually adjustable voltages are controlled by an evolutionary algorithm. In this way, we can realize aberration minimized magnifications between 25 and 100. Moreover, the algorithm can adjust the voltage settings under changing experimental conditions and facilitates autofocusing for user-defined magnification.
Involved external institutions
Germany (DE)How to cite
APA:
Haniel, F.E., Hedewig, L., Schröder, H., Kling, M.F., & Bergues, B. (2023). Ion microscopy with evolutionary-algorithm-based autofocusing. Engineering Research Express, 5(1). https://doi.org/10.1088/2631-8695/acb419
MLA:
Haniel, Franz E., et al. "Ion microscopy with evolutionary-algorithm-based autofocusing." Engineering Research Express 5.1 (2023).
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