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Preparing an Isotopically Pure 229Th Ion Beam for Studies of 229mTh
Published on: May 3, 2019
Ionization efficiency studies with charge breeder and conventional electron cyclotron resonance ion source
H Koivisto1, O Tarvainen1, V Toivanen1
1Department of Physics, University of Jyväskylä (JYFL), Jyväskylä, Finland.
Experiments with electron cyclotron resonance ion sources (ECRIS) and charge breeders (CBs) show that gas mixing and two-frequency heating effects are additive for conventional ECRIS. Differences between conventional ECRIS and charge breeders have minor impact on ion beam production efficiency.
Area of Science:
- Nuclear Physics
- Plasma Physics
Background:
- Radioactive Ion Beams are crucial for European research facilities like SPES and EURISOL.
- Electron Cyclotron Resonance Ion Source (ECRIS) charge breeders (CBs) have advanced, but charge breeding physics requires further study.
- The European EMILIE collaboration aims to optimize charge breeding by studying fundamental plasma processes.
Purpose of the Study:
- Investigate plasma processes in charge breeders for optimization.
- Compare charge breeding performance using gas mixing and 2-frequency heating.
- Analyze the impact of different ECRIS devices on ion beam production.
Main Methods:
- Conducted experiments using a conventional JYFL 14 GHz ECRIS and the LPSC-PHOENIX charge breeder.
- Employed gas mixing and 2-frequency heating techniques.
- Utilized noble gases for initial experimental runs.
Main Results:
- For conventional ECRIS, gas mixing and 2-frequency heating effects on high charge state production are additive.
- Differences between conventional ECRIS and charge breeders minimally affect ion beam production efficiency for noble gases.
- Initial experiments provided insights into charge breeding physics.
Conclusions:
- Gas mixing and 2-frequency heating techniques offer additive benefits for high charge state production in conventional ECRIS.
- Charge breeder design variations have a limited impact on ion beam production efficiency.
- Further research within the EMILIE project will refine charge breeding optimization.
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