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Software . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Software . 2025
License: CC BY
Data sources: Datacite
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Halbach_two_point_oh: Optimize Uniform Fields with Permanent Magnet Arrays (V1.1.0)

Optimizing Homogeneous Fields with Permanent Magnet Configurations
Authors: Rehberg, Ingo; Blümler, Peter;

Halbach_two_point_oh: Optimize Uniform Fields with Permanent Magnet Arrays (V1.1.0)

Abstract

Overview This Python program enables interactive exploration of the magnetic fields produced by rings of permanent magnets. It provides a Graphical User Interface (GUI) for investigating magnet geometries and field homogeneity. The physical background is based on: Halbach 2.0 — Creating Homogeneous Fields with Finite Size MagnetsIngo Rehberg and Peter BlümlerarXiv:2502.18262 Version History v1.0.1 This version includes a configuration inspired by: Sumit Tewari, Thomas O'Reilly, Andrew WebbImproving the Field Homogeneity of Fixed- and Variable-Diameter Discrete Halbach Magnet Arrays for MRI via Optimization of the Angular Magnetization DistributionJournal of Magnetic Resonance, Volume 324, 2021, 106923https://doi.org/10.1016/j.jmr.2021.106923 v1.1.0 Adds functionality to export STL files for 3D printing custom magnet holders.

How to get started: Unzip the file Halbach_two_point_oh.zip. Launch the interactive program by running halbach_two_point_oh.py. Using the program: To rotate the ring cluster, check one of the buttons labeled r_e, r_a, or r_r. Important: To stop the rotation, activate the stp checkbox. Preparing for 3D printing: Click the STL button and follow the provided instructions for exporting the model.

Related Organizations
Keywords

Halbach, line dipole, homogenous magnetic field, point dipole, optimizing homogeneity, ring of permanent magnets, interactive Python script, optimizing field strength

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average