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1

Shi, Xiaoqing, Hua Geng, and Shuang Liu. "Magnetization Vector Inversion Based on Amplitude and Gradient Constraints." Remote Sensing 14, no. 21 (2022): 5497. http://dx.doi.org/10.3390/rs14215497.

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Magnetization vector inversion has been developed since it can increase inversion accuracy due to the unknown magnetization direction caused by remanence. However, the three components of total magnetizations vector are simultaneously inverted and then synthesized into the magnetization magnitude and direction, which increases the inherent non-uniqueness of the inversion. The positions of the three components of the magnetization vector are originally consistent. If there is a lack of constraints between them during the inversion process, they may be misaligned, resulting in a large deviation
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2

Li, Xiangdong, Shuang Liu, Yunxiang Liu, Fufeng Ding, Xiange Jian, and Xiangyun Hu. "High-precision magnetization vector inversion: application to magnetic data in the presence of significant remanent magnetization." Journal of Geophysics and Engineering 19, no. 6 (2022): 1308–19. http://dx.doi.org/10.1093/jge/gxac085.

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Abstract Magnetization vector inversion is essential for obtaining magnetization vector information from subsurface rocks. To obtain focused inversion results that better match the true magnetization distributions, sparse constraints are considered to constrain the objective function. A compact magnetization vector inversion method is proposed that can provide accurate inversion results for magnetic data with significant remanent magnetization. Considering the sparse constraint and the correlation between the three magnetization components with different directions, the L1-norm is modified and
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3

Ghalehnoee, Mohammad Hossein, and Abdolhamid Ansari. "Compact magnetization vector inversion." Geophysical Journal International 228, no. 1 (2021): 1–16. http://dx.doi.org/10.1093/gji/ggab330.

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SUMMARY Magnetization vector inversion (MVI) has attracted considerable attention in recent years since by this inversion both distribution of the magnitude and direction of the magnetization are obtained; therefore, it is easy to distinguish between the magnetic causative bodies especially when magnetic data are affected by different remanent magnetization. In this research, the compact magnetization vector inversion is presented: a 3-D magnetic modelling is proposed from surface data measurements to obtain compact magnetization distribution. The equations are solved in data-space least squar
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4

Pedersen, Laust B., and Mehrdad Bastani. "Estimating rock-vector magnetization from coincident measurements of magnetic field and gravity gradient tensor." GEOPHYSICS 81, no. 3 (2016): B55—B64. http://dx.doi.org/10.1190/geo2015-0100.1.

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Poisson’s theorem relating components of the magnetic field to components of the gradient of the gravity vector assuming a common source has been cast into a general form. A given magnetization distribution in the terrain or in the underlying crust is propagated into the corresponding magnetic field through the gravity gradient tensor. Conversely, measured magnetic field anomalies and measured gravity gradient tensor anomalies can be used to estimate the unknown magnetization vectors without knowledge of the geometry of the sources. We have tested the method on recently acquired data over a gr
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5

MacLeod, Ian N., and Robert G. Ellis. "Quantitative Magnetization Vector Inversion." ASEG Extended Abstracts 2016, no. 1 (2016): 1–6. http://dx.doi.org/10.1071/aseg2016ab115.

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6

Ou, Yang, Qingtian Lü, Jie Zhang, et al. "Sparse Magnetization Vector Inversion Based on Modulus Constraints." Remote Sensing 17, no. 4 (2025): 597. https://doi.org/10.3390/rs17040597.

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Magnetization vector inversion (MVI) is an effective method for simultaneously determining the distribution of magnetization intensity and direction without knowing the direction of magnetization beforehand. Nevertheless, the presence of serious non-uniqueness in MVI imposes challenges in achieving accurate and reliable results. To improve the accuracy of MVI, we propose a method that incorporates a modulus constraint, informed by an analysis of the model constraints in two different frameworks. We employ a sparse operator on the magnetization magnitude and obtain an explicit expression for th
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7

Kushnirenko, A., V. Pryadko, and O. Sinyavsky. "The bioenergetic resonance model at pre-sowing seed crops treatment." Energy and automation, no. 2(54) (June 22, 2021): 97–106. http://dx.doi.org/10.31548/energiya2021.02.097.

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The research is devoted to the study of the behavior of the generalizing magnetization vector in the seeds of agricultural crops under the action of longitudinal constant and transverse alternating magnetic fields by the method of nuclear magnetic resonance. Based on the theoretical studies, the value of the average magnetic susceptibility per unit volume of seed χ and the value of the magnetization vector were determined. For the system of microparticles of cells of plant origin, the average magnetic susceptibility per unit volume of seed is χ = 2.1 · 10-5, and the magnetization vector M=13.1
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8

SPELIOTIS, Dennis, David BONO, and Patrick JUDGE. "VECTOR MAGNETIZATION OF RECORDING MEDIA." Journal of the Magnetics Society of Japan 13, S_1_PMRC_89 (1989): S1_887–892. http://dx.doi.org/10.3379/jmsjmag.13.s1_887.

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9

Rysak, A., and S. Z. Korczak. "Vector description of nonlinear magnetization." Journal of Magnetism and Magnetic Materials 231, no. 2-3 (2001): 323–30. http://dx.doi.org/10.1016/s0304-8853(01)00199-8.

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10

Xiao, Xiao, Fabian Müller, Martin Marco Nell, and Kay Hameyer. "Modeling anisotropic magnetic hysteresis properties with vector stop model by using finite element method." COMPEL - The international journal for computation and mathematics in electrical and electronic engineering 41, no. 2 (2021): 752–63. http://dx.doi.org/10.1108/compel-06-2021-0213.

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Purpose This paper aims to use a history-dependent vector stop hysteresis model incorporated into a two dimensional finite elements (FE) simulation environment to solve the magnetic field problems in electrical machines. The vector stop hysteresis model is valid for representing the anisotropic magnetization characteristics of electrical steel sheets. Comparisons of the simulated results with measurements show that the model is well appropriate for the simulation of electrical machines with alternating, rotating and harmonic magnetic flux densities. Design/methodology/approach The anisotropy o
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11

Baratchart, Laurent, Cristóbal Villalobos Guillén, and Douglas P. Hardin. "Inverse potential problems in divergence form for measures in the plane." ESAIM: Control, Optimisation and Calculus of Variations 27 (2021): 87. http://dx.doi.org/10.1051/cocv/2021082.

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We study inverse potential problems with source term the divergence of some unknown (ℝ3-valued) measure supported in a plane; e.g., inverse magnetization problems for thin plates. We investigate methods for recovering a magnetization μ by penalizing the measure-theoretic total variation norm ∥μ∥TV , and appealing to the decomposition of divergence-free measures in the plane as superpositions of unit tangent vector fields on rectifiable Jordan curves. In particular, we prove for magnetizations supported in a plane that TV -regularization schemes always have a unique minimizer, even in the prese
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12

IVEZIĆ, TOMISLAV. "THE CONSTITUTIVE RELATIONS AND THE MAGNETOELECTRIC EFFECT FOR MOVING MEDIA." International Journal of Modern Physics B 26, no. 08 (2012): 1250040. http://dx.doi.org/10.1142/s0217979212500403.

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In this paper the constitutive relations for moving media with homogeneous and isotropic electric and magnetic properties are presented as the connections between the generalized magnetization–polarization bivector [Formula: see text] and the electromagnetic field F. Using the decompositions of F and [Formula: see text], it is shown how the polarization vector P(x) and the magnetization vector M(x) depend on E, B and two different velocity vectors, u — the bulk velocity vector of the medium, and v — the velocity vector of the observers who measure E and B fields. These constitutive relations w
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13

Fournier, Dominique, Lindsey J. Heagy, and Douglas W. Oldenburg. "Sparse magnetic vector inversion in spherical coordinates." GEOPHYSICS 85, no. 3 (2020): J33—J49. http://dx.doi.org/10.1190/geo2019-0244.1.

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Magnetic vector inversion (MVI) has received considerable attention over recent years for processing magnetic field data that are affected by remanent magnetization. However, the magnetization models obtained with current inversion algorithms are generally too smooth to be easily interpreted geologically. To address this, we have reviewed the MVI formulated in a spherical coordinate system. We tackle convergence issues posed by the nonlinear transformation from Cartesian to spherical coordinates by using an iterative sensitivity weighting approach and a scaling of the spherical parameters. The
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14

Юсипова, Ю. А. "Частота и быстродействие спинового вентиля с планарной анизотропией слоев". Физика твердого тела 62, № 9 (2020): 1361. http://dx.doi.org/10.21883/ftt.2020.09.49754.29h.

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The dynamics of the magnetization vector in the free layer of a layered spin-valve structure was simulated. As materials for the free and fixed layers, six magnetically soft ferromagnets with longitudinal anisotropy were considered. The types of magnetization dynamics that are of practical interest for MRAM and HMDD (switching of the magnetization vector), STNO (stable precession of the magnetization vector), and the base element PSL (switching of the magnetization vector with two probable outcomes) were highlighted. The ranges of currents and fields corresponding to these operating modes of t
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15

Liu, Shuang, Xiangyun Hu, Tianyou Liu, Jie Feng, Wenli Gao, and Liquan Qiu. "Magnetization vector imaging for borehole magnetic data based on magnitude magnetic anomaly." GEOPHYSICS 78, no. 6 (2013): D429—D444. http://dx.doi.org/10.1190/geo2012-0454.1.

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Remanent magnetization and self-demagnetization change the magnitude and direction of the magnetization vector, which complicates the interpretation of magnetic data. To deal with this problem, we evaluated a method for inverting the distributions of 2D magnetization vector or effective susceptibility using 3C borehole magnetic data. The basis for this method is the fact that 2D magnitude magnetic anomalies are not sensitive to the magnetization direction. We calculated magnitude anomalies from the measured borehole magnetic data in a spatial domain. The vector distributions of magnetization w
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16

Lelièvre, Peter G., and Douglas W. Oldenburg. "A 3D total magnetization inversion applicable when significant, complicated remanence is present." GEOPHYSICS 74, no. 3 (2009): L21—L30. http://dx.doi.org/10.1190/1.3103249.

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Inversion of magnetic data is complicated by the presence of remanent magnetization. To deal with this problem, we invert magnetic data for a three-component subsurface magnetization vector, as opposed to magnetic susceptibility (a scalar). The magnetization vector can be cast in a Cartesian or spherical framework. In the Cartesian formulation, the total magnetization is split into one component parallel and two components perpendicular to the earth’s field. In the spherical formulation, we invert for magnetization amplitude and the dip and azimuth of the magnetization direction. Our inversion
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17

Reimers, A., and E. Della Torre. "Fast Preisach-based vector magnetization model." IEEE Transactions on Magnetics 37, no. 5 (2001): 3349–52. http://dx.doi.org/10.1109/20.952611.

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18

Chiba, D., M. Sawicki, Y. Nishitani, Y. Nakatani, F. Matsukura, and H. Ohno. "Magnetization vector manipulation by electric fields." Nature 455, no. 7212 (2008): 515–18. http://dx.doi.org/10.1038/nature07318.

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19

Lacey, D., R. Gebauer, and A. D. Caplin. "Vector magnetization studies of anisotropic superconductors." Superconductor Science and Technology 8, no. 7 (1995): 568–74. http://dx.doi.org/10.1088/0953-2048/8/7/015.

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20

DellaTorre, Edward, and Ann Reimers. "Energy considerations in vector magnetization models." Journal of Applied Physics 89, no. 11 (2001): 7239–41. http://dx.doi.org/10.1063/1.1355339.

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21

Della Torre, Edward. "Rotational magnetization losses in vector models." Journal of Applied Physics 93, no. 10 (2003): 6632–34. http://dx.doi.org/10.1063/1.1557358.

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22

Rivkin, Kirill, and Michael Montemorra. "Spin wave computing using pre-recorded magnetization patterns." Journal of Applied Physics 132, no. 15 (2022): 153902. http://dx.doi.org/10.1063/5.0096192.

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We propose a novel type of spin wave computing device, based on a bilayer structure that includes a “bias layer” made from a hard magnetic material and a “propagation layer” made from a magnetic material with low damping, for example, yttrium garnet or permalloy. The bias layer maintains a stable pre-recorded magnetization pattern, which generates a bias field with a desired spatial dependence, which in turn sets the equilibrium magnetization inside the propagation layer. When an external source applies an RF field to the propagation layer, excited spin waves scatter on the magnetization's inh
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23

Gouda, Kaiki, and Takashi Nishioka. "Angular-field magnetic phase diagram of b-plane at 4 K of YAlGe-type TbAlGe with zigzag-chain." Journal of Physics: Conference Series 2164, no. 1 (2022): 012072. http://dx.doi.org/10.1088/1742-6596/2164/1/012072.

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Abstract Orthorhombic YAlGe-type TbAlGe is expected to have an interesting magnetic anisotropy due to zigzag chains of the Tb ions. We have grown the single crystal for the first time and measured the AC magnetic susceptibility and specific heat from 1.3 K to 60 K, and the vector magnetization for the b-plane up to 7 T at 4 K. The specific heat and AC magnetic susceptibility indicate that there are two antiferromagnetic transitions at T N1 = 38 K and TN2 = 7.6 K, where the transition at T N2 is first-order like. The magnetization curve at 4 K for the a-axis shows a large hysteresis, and metama
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24

Kirushev, M. S., Vladimir S. Vlasov, D. A. Pleshev, et al. "Second Order Precession in the Plate with Cubic Anisotropy and Magnetoelastic Properties." Solid State Phenomena 233-234 (July 2015): 73–78. http://dx.doi.org/10.4028/www.scientific.net/ssp.233-234.73.

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The paper considers the second order precession of the magnetization vector in a perpendicular magnetized anisotropic ferrite plate with magnetoelastic properties. The boundaries of the precession regimes on the frequency and amplitude of the alternating field were defined. The features of the precession of the magnetization vector regimes associated with magnetoelastic properties were revealed.
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25

Upadhaya, Brijesh, Floran Martin, Paavo Rasilo, Paul Handgruber, Anouar Belahcen, and Antero Arkkio. "Modelling anisotropy in non-oriented electrical steel sheet using vector Jiles–Atherton model." COMPEL - The international journal for computation and mathematics in electrical and electronic engineering 36, no. 3 (2017): 764–73. http://dx.doi.org/10.1108/compel-09-2016-0399.

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Purpose Non-oriented electrical steel presents anisotropic behaviour. Modelling such anisotropic behaviour has become a necessity for accurate design of electrical machines. The main aim of this study is to model the magnetic anisotropy in the non-oriented electrical steel sheet of grade M400-50A using a phenomenological hysteresis model. Design/methodology/approach The well-known phenomenological vector Jiles–Atherton hysteresis model is modified to correctly model the typical anisotropic behaviour of the non-oriented electrical steel sheet, which is not described correctly by the original ve
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26

Jorgensen, Michael, Michael S. Zhdanov, and Brian Parsons. "3D Focusing Inversion of Full Tensor Magnetic Gradiometry Data with Gramian Regularization." Minerals 13, no. 7 (2023): 851. http://dx.doi.org/10.3390/min13070851.

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Full tensor magnetic gradiometry (FTMG) is becoming a practical method for exploration due to recent advancements in superconducting quantum interference device (SQUID) technology. This paper introduces an efficient method of 3D modeling and inversion of FTMG data. The forward modeling uses single-point Gaussian integration with pulse basis functions to compute the volume integrals representing the second spatial derivatives of the magnetic potential. The inversion is aimed at recovering both the magnetic susceptibility and magnetization vectors. We have introduced a 3D regularized focusing in
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27

Jaime, Urrutia-Fucugauchi, and Pérez-Cruz Ligia. "Coercivity and Vector Magnetization Analysis of Obsidian Samples from the Trans-Mexican Volcanic Belt." Arqueologia Iberoamericana 35 (August 10, 2017): 23–28. https://doi.org/10.5281/zenodo.1319731.

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This note presents initial results of a paleomagnetic study of obsidian from twenty localities in the eastern, central and western sectors of the Trans-Mexican volcanic belt in central Mexico. We focus on the coercivity and vector composition of the remanent magnetization, which are critical for paleodirectional and paleointensity studies. Alternating field demagnetization shows that obsidians carry single and two-component magnetizations residing in low- and high-coercivity magnetic minerals, with discrete and overlapping coercivity spectra. Magnetic minerals are likely iron-titanium oxides w
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28

KOUCHIYAMA, Akira, and Jiro HOKKYO. "REMANENT MAGNETIZATION VECTOR IN MAGNETIC RECORDING MEDIA." Journal of the Magnetics Society of Japan 13, S_1_PMRC_89 (1989): S1_893–898. http://dx.doi.org/10.3379/jmsjmag.13.s1_893.

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29

Acremann, Y. "Imaging Precessional Motion of the Magnetization Vector." Science 290, no. 5491 (2000): 492–95. http://dx.doi.org/10.1126/science.290.5491.492.

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30

Kahler, G. R., and E. Della Torre. "Measured vector magnetization of magnetic particle tape." Journal of Applied Physics 91, no. 10 (2002): 7648. http://dx.doi.org/10.1063/1.1456412.

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31

Öner, Yıldırhan, and Hüseyin Sari. "Rotational vector magnetization measurements on Ni74Mn24Pt2 alloy." Journal of Magnetism and Magnetic Materials 132, no. 1-3 (1994): 55–61. http://dx.doi.org/10.1016/0304-8853(94)90299-2.

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32

Weihua Mao and D. L. Atherton. "Magnetization vector directions in a steel cube." IEEE Transactions on Magnetics 36, no. 5 (2000): 3084–86. http://dx.doi.org/10.1109/20.908688.

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33

Eason, Kwaku, and Boris Luk'yanchuk. "Investigation of an Extended Magnetization Vector Constraint." IEEE Transactions on Magnetics 47, no. 10 (2011): 3803–4. http://dx.doi.org/10.1109/tmag.2011.2145366.

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34

Mitra, Ritayan, and Lisa Tauxe. "Full vector model for magnetization in sediments." Earth and Planetary Science Letters 286, no. 3-4 (2009): 535–45. http://dx.doi.org/10.1016/j.epsl.2009.07.019.

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35

S., T. Tolmachev, and V. Il'chenko A. "THE RECIPROCITY PRINCIPLE FOR A NONLINEAR ANISOTROPIC MEDIUM WITHOUT HYSTERESIS: THEORY AND PRACTICE OF APPLICATION." Electrical engineering & electromechanics, no. 2 (April 16, 2020): 40–45. https://doi.org/10.20998/2074-272X.2020.2.06.

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<em>The construction of the correct vector material equations for nonlinear anisotropic soft magnetic materials remains one of the main reserves for increasing the accuracy of mathematical models in solving magnetostatic problems in the field formulation. The aim of the work is to establish asymptotic expressions for the reciprocity principle, which is a fundamental property of reversible magnetization processes of nonlinear anisotropic media, and to use the obtained results to optimize the computational process when constructing the vector magnetization characteristic and differential permeab
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36

Hayashi, Masahiko, Takekazu Ishida, Hiroaki Shishido, The Dang Vu, and Shuichi Kawamata. "Restoration of Vector Magnetization Image from Vector Scanning-SQUID Microscope Measurement." Journal of Physics: Conference Series 2776, no. 1 (2024): 012001. http://dx.doi.org/10.1088/1742-6596/2776/1/012001.

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Abstract A generalized mathematical framework to treat image data measured by the scanning superconducting quantum interference device (SQUID) microscope using a three-dimensional vector pickup coil is presented. The blurring of the images originating from the effects of diamagnetism due to the superconductivity of the sensor, the non-zero sensor size, and the finite sensor-to-sample separation are numerically reduced. We use a lattice model of the measurement system, and singular value decomposition and the Moore-Penrose pseudo-inverse matrix are employed to handle ill-conditioned matrices we
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37

Ma, Guoqing, Lingwei Meng, and Lili Li. "Fast Magnetization Vector Inversion Method with Undulating Observation Surface in Spherical Coordinate for Revealing Lunar Weak Magnetic Anomaly Feature." Remote Sensing 16, no. 2 (2024): 432. http://dx.doi.org/10.3390/rs16020432.

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The three-dimensional magnetic vector structure (magnetization intensity and direction) of the planet can be effectively used to analyze the characteristics of its formation and operation. However, the quick acquisition of a large region of the magnetic vector structure of the planet with bigger observation surfaces undulation is hard and indispensable. We firstly proposed a fast magnetization vector inversion method for the inversion of a magnetic anomaly with the undulating observation surfaces in the spherical coordinate system, which first transforms the data to a plane when the data are d
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38

ROJAS, H. PÉREZ, and E. RODRÍGUEZ QUERTS. "MAGNETIC FIELDS IN QUANTUM DEGENERATE SYSTEMS AND IN VACUUM." International Journal of Modern Physics D 16, no. 02n03 (2007): 165–73. http://dx.doi.org/10.1142/s0218271807009917.

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We consider self-magnetization of charged and neutral vector bosons bearing a magnetic moment in a gas and in vacuum. For charged vector bosons (W bosons) a divergence of the magnetization in both the medium and the electroweak vacuum occurs for the critical field [Formula: see text]. For B &gt; Bwc the system is unstable. This behavior suggests the occurrence of a phase transition at B = Bc, where the field is self-consistently maintained. This mechanism actually prevents B from reaching the critical value Bc. For virtual neutral vector bosons bearing an anomalous magnetic moment, the ground
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39

Gonçalves, L. L., and N. T. de Oliveira. "Kinetic Ising model on alternating linear chains." Canadian Journal of Physics 63, no. 9 (1985): 1215–19. http://dx.doi.org/10.1139/p85-199.

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The kinetic Ising model on two alternating linear chains is considered. Exact expressions are obtained for the wave-vector frequency-dependent susceptibility and the time evolution of the magnetization. It is shown that the long-time behaviour of the magnetization in both systems is identical to the one in the uniform chain. Although they behave similarly as far as the relaxation of the magnetization is concerned, they have different dynamic magnetic responses at equilibrium. It is also shown that at T = 0 for a given set of parameters the static susceptibility diverges at a well-defined wave
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40

Котов, Л. Н., П. А. Северин, В. С. Власов, Д. С. Безносиков, Е. Л. Котова та В. Г. Шавров. "Магнитные и упругие колебания в кристаллах марганец-цинковой шпинели в зависимости от константы анизотропии". Физика твердого тела 60, № 6 (2018): 1142. http://dx.doi.org/10.21883/ftt.2018.06.45989.25m.

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AbstractThe amplitudes of magnetic and elastic vibrations for Mn_0.61Zn_0.35Fe_2.04O_4 spinel crystalline slab are calculated by solving the equations describing the magnetic and elastic dynamics. The anisotropy constants, magnetization, second-order elastic constants and magnetoelastic coupling constants for a studied crystal are expressed as the functions of temperature. The magnetization vector and elastic shear components are found as the functions of the first magnetic anisotropy constant at different values of an external constant magnetic field greater than a saturation field. The proce
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41

Khalilov, V. R., Choon-Lin Ho, and Chi Yang. "Condensation and Magnetization of Charged Vector Boson Gas." Modern Physics Letters A 12, no. 27 (1997): 1973–81. http://dx.doi.org/10.1142/s0217732397002028.

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The magnetic properties of charged vector boson gas are studied in the very weak, and very strong (near critical value) external magnetic field limits. When the density of the vector boson gas is low, or when the external field is strong, no true Bose–Einstein condensation occurs, though significant amount of bosons will accumulate in the ground state. The gas is ferromagnetic in nature at low temperature. However, Bose–Einstein condensation of vector bosons (scalar bosons as well) is likely to occur in the presence of a uniform weak magnetic field when the gas density is sufficiently high. A
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42

Sharipov, M. Z., and Z. Kh Fayziyeva. "FARADAY EFFECT." Oriental Journal of Physics and Mathematics 02, no. 01 (2022): 1–6. http://dx.doi.org/10.37547/supsci-ojpm-02-01-01.

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This article describes a magneto-optical study of the faraday effect in rare-earth ferrite garnets. The Faraday effect is an odd magneto-optical effect in terms of magnetization, that is, the sign of the Faraday rotation depends on whether the direction of the light propagating in the crystal coincides with the direction of the magnetization vector M, or is antiparallel to the vector M. This circumstance underlies the well-known method of visual observation of magnetic domains in rare-earth ferrites - grenades.
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43

Ribeiro-Filho, Nelson, Rodrigo Bijani, and Cosme Ponte-Neto. "Improving the crosscorrelation method to estimate the total magnetization direction vector of isolated sources: A space-domain approach for unstable inclination values." GEOPHYSICS 85, no. 4 (2020): J59—J70. http://dx.doi.org/10.1190/geo2019-0008.1.

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Knowledge of the total magnetization direction of geologic sources is valuable for interpretation of magnetic anomalies. Although the magnetization direction of causative sources is assumed to be induced by the ambient magnetic field, the presence of remanence should not be neglected. An existing method of correlating total and vertical gradients of the reduced-to-the-pole (RTP) anomaly estimates the total magnetization direction well. However, due to the numerical instability of RTP transformation in the Fourier domain, an assumption should be considered for dealing with inclination values at
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44

Jeż, Bartłomiej, Jerzy Wysłocki, Simon Walters, Przemysław Postawa, and Marcin Nabiałek. "The Process of Magnetizing FeNbYHfB Bulk Amorphous Alloys in Strong Magnetic Fields." Materials 13, no. 6 (2020): 1367. http://dx.doi.org/10.3390/ma13061367.

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The structure of amorphous alloys still has not been described satisfactorily due to the lack of direct methods for observing structural defects. The magnetizing process of amorphous alloys is closely related to its disordered structure. The sensitivity of the magnetization vector to any heterogeneity allows indirect assessment of the structure of amorphous ferromagnetic alloys. In strong magnetic fields, the magnetization process involves the rotation of a magnetization vector around point and line defects. Based on analysis of primary magnetization curves, it is possible to identify the type
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45

Li, Yaoguo, Jiajia Sun, Shu-Ling Li, and Marcelo Leão-Santos. "A paradigm shift in magnetic data interpretation: Increased value through magnetization inversions." Leading Edge 40, no. 2 (2021): 89–98. http://dx.doi.org/10.1190/tle40020089.1.

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Magnetic data are sensitive to both the induced magnetization in rock units caused by the present earth's magnetic field and the remanent magnetization acquired by rock units in past geologic time. Susceptibility is a direct indicator of the magnetic mineral content, whereas remanent magnetization carries information about the formation process and subsequent structural movement of geologic units. The ability to recover and use total magnetization, defined as the vectorial sum of the induced and remanent magnetization, therefore enables us to take full advantage of magnetic data. The explorati
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Li, Yaoguo, Sarah E. Shearer, Matthew M. Haney, and Neal Dannemiller. "Comprehensive approaches to 3D inversion of magnetic data affected by remanent magnetization." GEOPHYSICS 75, no. 1 (2010): L1—L11. http://dx.doi.org/10.1190/1.3294766.

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Three-dimensional (3D) inversion of magnetic data to recover a distribution of magnetic susceptibility has been successfully used for mineral exploration during the last decade. However, the unknown direction of magnetization has limited the use of this technique when significant remanence is present. We have developed a comprehensive methodology for solving this problem by examining two classes of approaches and have formulated a suite of methods of practical utility. The first class focuses on estimating total magnetization direction and then incorporating the resultant direction into an inv
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Cardelli, E., M. Carpentieri, E. Della Torre, G. Drisaldi, and A. Faba. "Magnetization dependent vector model and single domain nanostructures." Journal of Applied Physics 105, no. 7 (2009): 07D516. http://dx.doi.org/10.1063/1.3068009.

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Kubota, Ryuji, and Akinori Uchiyama. "Three-dimensional magnetization vector inversion of a seamount." Earth, Planets and Space 57, no. 8 (2005): 691–99. http://dx.doi.org/10.1186/bf03351849.

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Gubbins, D., D. Ivers, S. M. Masterton, and D. E. Winch. "Analysis of lithospheric magnetization in vector spherical harmonics." Geophysical Journal International 187, no. 1 (2011): 99–117. http://dx.doi.org/10.1111/j.1365-246x.2011.05153.x.

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Della Torre, Edward, Ali Jamali, Hatem ElBidweihy, and Lawrence H. Bennett. "Vector Magnetization of a Distribution of Uniaxial Particles." IEEE Transactions on Magnetics 52, no. 7 (2016): 1–4. http://dx.doi.org/10.1109/tmag.2016.2525831.

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