Estimating ion confinement times from beam current transients in conventional and charge breeder ECRIS
Marttinen, M., Angot, J., Annaluru, A., Jardin, P., Kalvas, T., Koivisto, H., Kosonen, S., Kronholm, R., Maunoury, L., Tarvainen, O., Toivanen, V., & Ujic, P. (2020). Estimating ion confinement times from beam current transients in conventional and charge breeder ECRIS. Review of Scientific Instruments, 91(1), Article 013304. https://doi.org/10.1063/1.5128546
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Review of Scientific InstrumentsAuthors
Date
2020Copyright
© 2020 AIP Publishing
Cumulative ion confinement times are probed by measuring decaying ion current transients in pulsed material injection mode. The method is applied in a charge breeder and conventional ECRIS yielding mutually corroborative results. The cumulative confinement time estimates vary from approximately 2 ms–60 ms with a clear dependence on the ion charge-to-mass ratio—higher charges having longer residence times. The long cumulative confinement times are proposed as a partial explanation to recently observed unexpectedly high ion temperatures. The results are relevant for rare ion beam (RIB) production as the confinement time and the lifetime of stable isotopes can be used for estimating the extracted RIB production efficiency.
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American Institute of PhysicsISSN Search the Publication Forum
0034-6748Publication in research information system
https://converis.jyu.fi/converis/portal/detail/Publication/34172688
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Academy of Finland; European CommissionFunding program(s)
Academy Project, AoF

The content of the publication reflects only the author’s view. The funder is not responsible for any use that may be made of the information it contains.
Additional information about funding
The project has received funding from the Academy of Finland under the Finnish Centre of Excellence Programme 2012-2017 (Nuclear and Accelerator Based Physics Research at JYFL, Project No. 213503) and the Academy of Finland Project funding (No. 315855), as well as from the European Union’s Horizon 2020 research and innovation programme under Grant Agreement No. 654002. This work has been supported also by Jenny and Antti Wihuri foundation.

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