Multi-objective Optimizations of a Novel Cryo-cooled DC Gun Based Ultra Fast Electron Diffraction Beamline
C. Gulliford, A. Bartnik, I. Bazarov

TL;DR
This paper uses multi-objective genetic algorithms to optimize a novel cryo-cooled DC gun for ultra-fast electron diffraction, achieving high coherence lengths and demonstrating the method's effectiveness in beamline design.
Contribution
It introduces a multi-objective genetic algorithm approach for optimizing a cryo-cooled DC gun based electron diffraction beamline, focusing on emittance and coherence length improvements.
Findings
Achieved a coherence length per rms spot size of 0.27 nm/micron at 100k electrons.
Obtained a coherence length per rms spot size of 0.1 nm/micron at 1000k electrons.
Demonstrated the viability of genetic algorithms in ultrafast electron diffraction beamline design.
Abstract
We present the results of multi-objective genetic algorithm optimizations of a potential single shot ultra fast electron diffraction beamline utilizing a 225 kV dc gun with a novel cryocooled photocathode system and buncher cavity. Optimizations of the transverse projected emittance as a function of bunch charge are presented and discussed in terms of the scaling laws derived in the charge saturation limit. Additionally, optimization of the transverse coherence length as a function of final rms bunch length at sample location have been performed for three different sample radii: 50, 100, 200 microns, for two final bunch charges: 100k and 1000k electrons. Analysis of the solutions is discussed, as are the effects of disorder induced heating. In particular, a coherence length per rms spot size of 0.27 nm/micron was obtained for a final bunch charge of 100k electrons and final rms bunch…
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