We present a new method for determining the main relevant features of the local magnetic field configuration, based entirely on the knowledge of the magnetic field gradient using four-spacecraft measurements. The method, named “Magnetic Configuration Analysis” (MCA), estimates the spatial scales on which the magnetic field varies locally. While it directly derives from the well-known Magnetic Directional Derivative (MDD) procedure by Shi et al. [2005] and the Magnetic Rotational Analysis (MRA) by Shen et al. [2007b], MCA was specifically designed to address the actual magnetic field geometry. By applying MCA to multi-spacecraft data from the MMS satellites, we perform both case and statistical analyses of local magnetic field shape and dimensionality at very high cadence and small scales. We apply this technique to different near-Earth environments and define a classification scheme for the type of configuration observed. While our case studies allow us to benchmark the method with those used in past 54 works, our statistical analysis unveils the typical shape of magnetic configurations and their 55 statistical distributions. We show that small-scale magnetic configurations are generally 56 elongated, displaying forms of cigar and blade shapes, but occasionally being planar in shape 57 like thin pancakes (mostly inside current sheets). Magnetic configurations, however, rarely show 58 isotropy in their magnetic variance. The planar nature of magnetic configurations and, most 59 importantly, their scale lengths strongly depend on the plasma β parameter. Finally, the most 60 invariant direction is statistically aligned with the electric current, reminiscent of the importance 61 of electromagnetic forces in shaping the local magnetic configuration

Four-spacecraft measurements of the shape and dimensionality of magnetic structures in the near-Earth plasma environment

S. Fadanelli;F. Califano;
2019-01-01

Abstract

We present a new method for determining the main relevant features of the local magnetic field configuration, based entirely on the knowledge of the magnetic field gradient using four-spacecraft measurements. The method, named “Magnetic Configuration Analysis” (MCA), estimates the spatial scales on which the magnetic field varies locally. While it directly derives from the well-known Magnetic Directional Derivative (MDD) procedure by Shi et al. [2005] and the Magnetic Rotational Analysis (MRA) by Shen et al. [2007b], MCA was specifically designed to address the actual magnetic field geometry. By applying MCA to multi-spacecraft data from the MMS satellites, we perform both case and statistical analyses of local magnetic field shape and dimensionality at very high cadence and small scales. We apply this technique to different near-Earth environments and define a classification scheme for the type of configuration observed. While our case studies allow us to benchmark the method with those used in past 54 works, our statistical analysis unveils the typical shape of magnetic configurations and their 55 statistical distributions. We show that small-scale magnetic configurations are generally 56 elongated, displaying forms of cigar and blade shapes, but occasionally being planar in shape 57 like thin pancakes (mostly inside current sheets). Magnetic configurations, however, rarely show 58 isotropy in their magnetic variance. The planar nature of magnetic configurations and, most 59 importantly, their scale lengths strongly depend on the plasma β parameter. Finally, the most 60 invariant direction is statistically aligned with the electric current, reminiscent of the importance 61 of electromagnetic forces in shaping the local magnetic configuration
2019
Fadanelli, S.; Lavraud, B.; Califano, F.; Jacquey, C.; Vernisse, Y.; Kacem1, I.; Penou, E.; Gershman, D. J.; Dorelli, J.; Pollock, C.; Giles, B. L.; Avanov, L. A.; Burch, J.; Chandler, M. O.; Coffey, V. N.; Eastwood6, J. P.; Ergun, R.; Farrugia, C. J.; Genot1, S. A. Fuselier V. N.; Grigorenko, E.; Hasegawa, H.; Khotyaintsev, Y.; Le Contel, O.; Marchaudon, A.; Moore, T. E.; Nakamura, R.; Paterson, W. R.; Phan, T.; Rager, A. C.; Russell, C. T.; Saito, Y.; Sauvaud, J. -A.; Schiff, C.; Smith, S. E.; Toledo Redondo1, S.; Torbert, R. B.; Wang, S.; Yokota, S.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11568/975096
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