AAU Student Projects - visit Aalborg University's student projects portal
A master's thesis from Aalborg University
Book cover


Novel approach to filtering techniques in magnetic field measurements

Author

Term

4. semester

Publication year

2024

Submitted on

Pages

78

Abstract

This report addresses the challenges in accurate solenoid measurements with filtering techniques in the framework of electron cooling. The overview of the general principles of electron cooling outlines the need for accurate flat magnetic fields. To measure the magnets a new design to the translating fluxmeter developed at CERN is presented and analysed. The analysis finds that while the performance of the large fluxmeter coils is good, the smallest coils can tend to have a drift noise. A customised filter for the specific fluxmeter is presented using a combination of Kalman and low-pass filtering. The proposed solution is tested on a simulation to estimate the filter performance and choose a filter design. To compare the filter performance against stateof-the-art solutions the filter is tested on a previously used dataset. The specific project is addressed using the current measurement setup and an applied filter to increase the performance of the smallest fluxmeter coils. The experiments show that while the application of a filter is possible and can improve some signals, the relation between measurements needs to be well defined before it makes sense to use Kalman filtering on different coils on the same fluxmeter. The study finds that the development of better field models is needed to further increase the usability of Kalman filtering in fluxmeter measurements.

This report addresses the challenges in accurate solenoid measurements with filtering techniques in the framework of electron cooling. The overview of the general principles of electron cooling outlines the need for accurate flat magnetic fields. To measure the magnets a new design to the translating fluxmeter developed at CERN is presented and analysed. The analysis finds that while the performance of the large fluxmeter coils is good, the smallest coils can tend to have a drift noise. A customised filter for the specific fluxmeter is presented using a combination of Kalman and low-pass filtering. The proposed solution is tested on a simulation to estimate the filter performance and choose a filter design. To compare the filter performance against stateof-the-art solutions the filter is tested on a previously used dataset. The specific project is addressed using the current measurement setup and an applied filter to increase the performance of the smallest fluxmeter coils. The experiments show that while the application of a filter is possible and can improve some signals, the relation between measurements needs to be well defined before it makes sense to use Kalman filtering on different coils on the same fluxmeter. The study finds that the development of better field models is needed to further increase the usability of Kalman filtering in fluxmeter measurements.