Speaker
Description
Next generation in-flight fragment separators like the Super-FRS are built with large apertures to accept high momentum spreads. The wide beam and momentum variation gives rise to large aberrations from non-linear effects, if not suppressed precisely.
Models and simulations are able to predict most effects, but to achieve the highest performance, fine tuning of the ion optics with beams, based on measured aberrations for the machine is needed.
While the main focal planes provide single particle tracking to measure the phase space, the target area instrumentation can only provide coarse information about the overall distribution of the beam. This poses a challenge, as knowledge about the polynomial order of the phase space distortion (in terms of transfer maps) enables a much faster optimization.
In this setting, we used a normalizing-flow-like approach, to find an invertible symplectic kick-rotation-* map, which transforms the measured data into an initial distribution, to extract a possible transfer-map and determine the distortions by order.
Integrated in the Generic Optimisation Frontend and Framework (Geoff), the method was validated in simulations and with a multiple charge state uranium beam at GSI’s fragment separator (FRS), by fine-tuning even significantly detuned optics.
| In which format do you inted to submit your paper? | LaTeX |
|---|---|
| Preprint marking on your proceeding paper | I do not wish my paper to be marked as preprint. |