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20022026
most citedDeep Learning for Hyperspectral Image Classification: An Overview

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physics.geo-ph2009★ 9 cited

Cylindrical anisotropic dynamos

R. Avalos-Zuñiga, M. Xu, F. Stefani +2

We explore the influence of geometry variations on the structure and the time-dependence of the magnetic field that is induced by kinematic dynamos in a finite cylinder. Th…

physics.geo-ph2008★ 8 cited

Inferring basic parameters of the geodynamo from sequences of polarity reversals

Michael Fischer, Gunter Gerbeth, Andre Giesecke +1

The asymmetric time dependence and various statistical properties of polarity reversals of the Earth's magnetic field are utilized to infer some of the most essential parameters of…

physics.geo-ph2008★ 2 cited

Micro-crystalline inclusions analysis by PIXE and RBS

David Strivay, Claire Ramboz, J. P. Gallien +2

A characteristic feature of the nuclear microprobe using a 3 MeV proton beam is the long range of particles (around 70 μm in light matrices). The PIXE method, with EDS analysis and…

physics.geo-ph2007★ 23 cited

Reversals in nature and the nature of reversals

Frank Stefani, Mingtian Xu, Luca Sorriso-Valvo +2

The asymmetric shape of reversals of the Earth's magnetic field indicates a possible connection with relaxation oscillations as they were early discussed by van der Pol. A simple m…

physics.geo-ph2005★ 41 cited

Why dynamos are prone to reversals

Frank Stefani, Gunter Gerbeth, Uwe Guenther +1

In a recent paper (Phys. Rev. Lett. 94 (2005), 184506; physics/0411050) it was shown that a simple mean-field dynamo model with a spherically symmetric helical turbulence parameter…