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3D-Magnetometer Arrays in Physics Experiments

Date Issued
August 1, 2024
Author(s)
Vavra, Shaun G
Advisor(s)
Steve Johnston
Additional Advisor(s)
Yuri Kamyshkov, Lawrence Heilbronn H, Breinig Marianne
Permanent URI
https://trace.tennessee.edu/handle/20.500.14382/33103
Abstract

This study presents the design and experimental evaluation of a magnetometer array utilizing LIS3MDL chips integrated with an Arduino microcontroller. Magnetometer arrays find crucial applications in various fields, including physics research, geophysics, and navigation systems. The goal of this research is to create an affordable and versatile magnetometer array for scientific investigations and practical applications. The paper begins by outlining the hardware and software components of the array. The LIS3MDL chips, known for their high sensitivity and low power consumption, are employed as the core sensing elements. The Arduino microcontroller is utilized for data acquisition and processing. The integration of these components is discussed in detail, along with the calibration procedure to ensure accurate magnetic field measurements. The experimental methodology is described, including the setup for testing in controlled environments and real-world scenarios. The array’s performance is assessed through various experiments, such as mapping magnetic fields, detecting anomalies, and monitoring changes in magnetic fields over time. Preliminary results demonstrate the array’s ability to capture magnetic field data with high precision and reliability. In conclusion, the presented magnetometer array, based on LIS3MDL chips and Arduino microcontrollers, exhibits promising capabilities for magnetic field measurements. This research offers a foundation for further exploration and utilization of the array in various scientific and practical applications.

Subjects

Magnetometers

Field

Stability

Setup

Disciplines
Other Physics
Degree
Master of Science
Major
Physics
File(s)
Thumbnail Image
Name

auto_convert.pdf

Size

1.36 MB

Format

Adobe PDF

Checksum (MD5)

df4db7be723e1e39582997181f247714

Thumbnail Image
Name

decision_1.0.docx

Size

1.93 MB

Format

Microsoft Word XML

Checksum (MD5)

803959b9564ff72e0757851497a00aff

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