Requirement-Adapted Enhancement of a Faraday Rotation Magnetometer’s Output

Ruben Piepgras, Sebastian Michlmayr, Bernhard Zagar

Research output: Chapter in Book/Report/Conference proceedingConference proceedingspeer-review

Abstract

Magnetic microstructures are a useful tool to encode information. In order to repeatedly make use of this information a non-destructive measurement system is needed. Such a system would be applicable to many technical problems, however, within this contribution we discuss a method to analyse the magnetic pattern of the security thread used in banknotes specifically. In order to assess the quality of the threads’ magnetic patterns during their production, a previous study used a Faraday Rotation Magnetometer (FRM). An FRM is a magneto-optical – and therefore non-destructive and non-contacting – setup based on the Faraday effect, which correlates the strength of a magnetic field with the rotation of polarised light. Albeit meeting the required specifications, this FRM’s amplitude resolution wasn’t sufficient to allow meaningful quantitative measurements. Hence, within this contribution we discuss the suitability and scope of an FRM for quantitative measurements of magnetic microstructures. We present a generalised version of the previous FRM and characterise it with regard to its amplitude, spatial, and temporal resolution. We point out ways to enhance the signal and show the limitations of such measures separately as well as comprehensively. From this we derive a way to estimate the feasibility of an FRM as a quantitative measurement device for a given set of parameters. Furthermore, this contribution may be used as a build and signal enhancement guideline for a similar setup.
Original languageEnglish
Title of host publicationComputer Aided Systems Theory – EUROCAST 2019 - Revised Selected Papers, Part II
Editors Roberto Moreno-Díaz, Franz Pichler, Alexis Quesada-Arencibia
PublisherSpringer
Pages52 – 58
Number of pages7
ISBN (Print)978-3-030-45096-0
DOIs
Publication statusPublished - May 2020

Publication series

NameLecture Notes in Computer Science (LNCS)

Fields of science

  • 202012 Electrical measurement technology
  • 202014 Electromagnetism
  • 202036 Sensor systems
  • 202 Electrical Engineering, Electronics, Information Engineering
  • 202016 Electrical engineering
  • 202027 Mechatronics
  • 202037 Signal processing
  • 103021 Optics

JKU Focus areas

  • Digital Transformation

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