Tuner: a tool for designing and optimizing ion optical systems
Daniel Bazin

TL;DR
This paper introduces Tuner, a new tool that simplifies the design and optimization of ion optical systems by providing instant feedback on parameter changes, making the process faster and less random.
Contribution
The paper presents a novel approach with a user-friendly interface that enhances the efficiency of designing ion optical systems compared to traditional methods.
Findings
Instant feedback accelerates the design process.
Manual adjustments are facilitated, reducing trial-and-error.
Final optimization is achieved through constrained minimization.
Abstract
Designing and optimizing ion optical systems is often a complex and difficult task, which requires the use of computational tools to iterate and converge towards the desired characteristics and performances of the system. Very often these tools are not well adapted for exploring the numerous degrees of freedom, rendering the process long and tedious, as well as somewhat random due to the very large number of local minima typically found when looking for a particular optical solution. This paper presents a novel approach to finding the desired solution of an optical system, by providing the user with an instant feedback of the effects of changing parameters. The process of finding an approximate solution by manually adjusting parameters is greatly facilitated, at which point the final tune can be calculated by minimization according to a number of constraints.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
