Micromagnetic tomography: Numerical libraries
Micromagnetic tomography (MMT) is an emerging technique in rock and paleomagnetism to determine individual magnetic moments of tomographically defined magnetic source regions within a natural sample by means of surface scans of the magnetic field above the sample. MMT relies on combining large high-...
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| Published in: | Computers & geosciences Vol. 185; p. 105555 |
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| Format: | Journal Article |
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01.03.2024
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| Abstract | Micromagnetic tomography (MMT) is an emerging technique in rock and paleomagnetism to determine individual magnetic moments of tomographically defined magnetic source regions within a natural sample by means of surface scans of the magnetic field above the sample. MMT relies on combining large high-resolution data sets from X-ray tomography and magnetic scanning devices, like quantum diamond magnetometers, together with advanced inversion algorithms potentially capable to solve for millions of individual magnetic moment vectors. We here provide an overview of existing algorithms that have been developed to tackle different aspects of MMT-related problems and discuss recent advances and future challenges of MMT.
•Micromagnetic Tomography MMT computes paleomagnetic data from rock magnetic grains.•Forward modeling and numerical inversions of MMT are coded in open Python libraries.•MMT can infer the internal state from single grains using micromagnetic modeling.•MMT codes are optimized for high performance computing using both CPUs and GPUs.•Proposed benchmark problems using experimental data support MMT results. |
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| AbstractList | Micromagnetic tomography (MMT) is an emerging technique in rock and paleomagnetism to determine individual magnetic moments of tomographically defined magnetic source regions within a natural sample by means of surface scans of the magnetic field above the sample. MMT relies on combining large high-resolution data sets from X-ray tomography and magnetic scanning devices, like quantum diamond magnetometers, together with advanced inversion algorithms potentially capable to solve for millions of individual magnetic moment vectors. We here provide an overview of existing algorithms that have been developed to tackle different aspects of MMT-related problems and discuss recent advances and future challenges of MMT.
•Micromagnetic Tomography MMT computes paleomagnetic data from rock magnetic grains.•Forward modeling and numerical inversions of MMT are coded in open Python libraries.•MMT can infer the internal state from single grains using micromagnetic modeling.•MMT codes are optimized for high performance computing using both CPUs and GPUs.•Proposed benchmark problems using experimental data support MMT results. Micromagnetic tomography (MMT) is an emerging technique in rock and paleomagnetism to determine individual magnetic moments of tomographically defined magnetic source regions within a natural sample by means of surface scans of the magnetic field above the sample. MMT relies on combining large high-resolution data sets from X-ray tomography and magnetic scanning devices, like quantum diamond magnetometers, together with advanced inversion algorithms potentially capable to solve for millions of individual magnetic moment vectors. We here provide an overview of existing algorithms that have been developed to tackle different aspects of MMT-related problems and discuss recent advances and future challenges of MMT. |
| ArticleNumber | 105555 |
| Author | Out, Frenk de Groot, Lennart V. Kosters, Martha E. Cortés-Ortuño, David Fabian, Karl |
| Author_xml | – sequence: 1 givenname: David orcidid: 0000-0003-3799-3141 surname: Cortés-Ortuño fullname: Cortés-Ortuño, David organization: Departamento de Física, Universidad Técnica Federico Santa María, Avenida España 1680, Valparaíso, Chile – sequence: 2 givenname: Frenk orcidid: 0000-0002-1304-9095 surname: Out fullname: Out, Frenk organization: Paleomagnetic laboratory Fort Hoofddijk, Department of Earth Sciences, Utrecht University, Budapestlaan 17, 3584 CD Utrecht, The Netherlands – sequence: 3 givenname: Martha E. orcidid: 0000-0001-5035-1034 surname: Kosters fullname: Kosters, Martha E. organization: Paleomagnetic laboratory Fort Hoofddijk, Department of Earth Sciences, Utrecht University, Budapestlaan 17, 3584 CD Utrecht, The Netherlands – sequence: 4 givenname: Karl orcidid: 0000-0002-3504-3292 surname: Fabian fullname: Fabian, Karl organization: Department of Geoscience and Petroleum, Norwegian University of Science and Technology (NTNU), S. P. Andersens veg 15a, 7031 Trondheim, Norway – sequence: 5 givenname: Lennart V. orcidid: 0000-0002-1151-5662 surname: de Groot fullname: de Groot, Lennart V. email: l.v.degroot@uu.nl organization: Paleomagnetic laboratory Fort Hoofddijk, Department of Earth Sciences, Utrecht University, Budapestlaan 17, 3584 CD Utrecht, The Netherlands |
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| Cites_doi | 10.1029/2021GC009663 10.1038/s41586-020-2649-2 10.1093/gji/ggy455 10.1126/sciadv.abb3615 10.1515/nanoph-2019-0209 10.1109/MCSE.2007.55 10.1002/2017GL076634 10.1029/2021GC010184 10.21105/joss.01450 10.1109/MCSE.2010.118 10.1029/2022JB024234 10.1029/2022GC010462 10.1038/s41592-019-0686-2 10.1002/2017GC006946 10.1002/2017GC007279 10.1029/2021JB022364 10.1029/2020GC009389 |
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| Keywords | Inversion theory Rock magnetism Magnetic potential Micromagnetic Tomography |
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| SubjectTerms | algorithms computed tomography computers data collection diamonds Inversion theory magnetic fields Magnetic potential Micromagnetic Tomography Rock magnetism rocks sampling surfaces |
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