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Optimizing the intensity and purity of a Zeeman-decelerated beam

Abstract:
A pure, state-selected beam of gas-phase radicals is an important tool for the precise study of radical reactions that are astrochemically and atmospherically relevant. Generating such a beam has proven to be an ongoing challenge for the scientific community. Using evolutionary algorithms to optimize the variable experimental parameters, the passage of state- and velocity-selected hydrogen atoms can be optimized as they travel through a 12-stage Zeeman decelerator and a magnetic guide. Only H atoms traveling at the target velocity are present in the beam that reaches the detection region, from a source containing a mixture of different species. All other species-including seed gases, precursor molecules, other dissociation products, and H atoms traveling outside the target velocity-are removed from the beam. The fully optimized parameters yield a pure H-atom beam containing twice as many target particles and a narrower velocity distribution compared to beams produced when only the Zeeman decelerator is optimized. These significant improvements highlight the importance of considering the passage of all target particles in the beam as they pass through all elements of the experimental apparatus.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1063/5.0061379

Authors

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Institution:
University of Oxford
Role:
Author
ORCID:
0000-0002-0049-2661
More by this author
Institution:
University of Oxford
Role:
Author
More by this author
Institution:
University of Oxford
Role:
Author
More by this author
Institution:
University of Oxford
Role:
Author
ORCID:
0000-0003-2073-4004


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Funder identifier:
10.13039/100010663
Grant:
948373
More from this funder
Funder identifier:
10.13039/501100000266
Grant:
EP/N032950/1


Publisher:
American Institute of Physics
Journal:
Review of Scientific Instruments More from this journal
Volume:
92
Issue:
9
Pages:
093201-093201
Article number:
093201
Publication date:
2021-09-22
DOI:
EISSN:
1089-7623
ISSN:
0034-6748


Language:
English
Keywords:
Pubs id:
1256900
Local pid:
pubs:1256900
Source identifiers:
W3194121422
Deposit date:
2026-04-24
ARK identifier:
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