The object of our research is the analysis of different series of data that have been collected in an experiment embedded by Prof. Ferruccio Renzoni’s Group in the Laboratory of Coherent Spectroscopy at the Physics Department of University College of London (UCL). The goal of the Thesis has been the determination of a simple, but robust algorithm able to correctly define the contour of an object, as detected by an optical magnetometer, when in presence of noise, as due by the necessary limitations in the technical construction of the experiment. Furthermore, the idea can be applied to a much larger category of experimental situations, not only in this specific kind of measurements or in this restricted field of research. The application of the algorithm gives good results in the determination of the effective size of the studied object.
Cali, E. (2022). Data Analysis and Pattern Recognition in a Magnetometer Experiment [10.25434/cali-elisa_phd2022].
Data Analysis and Pattern Recognition in a Magnetometer Experiment
CALI, ELISA
2022-01-01
Abstract
The object of our research is the analysis of different series of data that have been collected in an experiment embedded by Prof. Ferruccio Renzoni’s Group in the Laboratory of Coherent Spectroscopy at the Physics Department of University College of London (UCL). The goal of the Thesis has been the determination of a simple, but robust algorithm able to correctly define the contour of an object, as detected by an optical magnetometer, when in presence of noise, as due by the necessary limitations in the technical construction of the experiment. Furthermore, the idea can be applied to a much larger category of experimental situations, not only in this specific kind of measurements or in this restricted field of research. The application of the algorithm gives good results in the determination of the effective size of the studied object.File | Dimensione | Formato | |
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https://hdl.handle.net/11365/1214194