Machine-learning-based automated loading of strontium isotopes into magneto-optical trap
We implemented optimization techniques of machine learning (ML) to obtain the mutually exclusive sets of experimental parameters that maximize the number of strontium atoms of different isotopes (88Sr, 86Sr, and 87Sr) in a magneto-optical trap (MOT). Machine learning optimization techniques are sign...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
AIP Publishing LLC
2023-07-01
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| Series: | AIP Advances |
| Online Access: | http://dx.doi.org/10.1063/5.0145844 |