Automated Machine Learning Strategies for Multi-Parameter Optimisation of a Caesium-Based Portable Zero-Field Magnetometer

Automated Machine Learning Strategies for Multi-Parameter Optimisation of a Caesium-Based Portable Zero-Field Magnetometer

Machine learning (ML) is an effective tool to interrogate complex systems to find optimal parameters more efficiently than through manual methods. This efficiency is particularly important for systems with complex dynamics between multiple parameters and a subsequent high number of parameter configu...

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Bibliographic Details
Main Authors: Rach Dawson, Carolyn O’Dwyer, Edward Irwin, Marcin S. Mrozowski, Dominic Hunter, Stuart Ingleby, Erling Riis, Paul F. Griffin
Format: Article
Language:English
Published: MDPI AG 2023-04-01
Series:Sensors
Subjects:
magnetometry
atomic
optimisation
machine learning
SERF
caesium
Online Access:https://www.mdpi.com/1424-8220/23/8/4007

Internet

https://www.mdpi.com/1424-8220/23/8/4007

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