2020
DOI: 10.1007/s11207-020-01687-z
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Analysis of the Helical Kink Stability of Differently Twisted Magnetic Flux Ropes

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Cited by 15 publications
(19 citation statements)
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“…Since we assume a constant τ of 1, we expect the flux rope to become kink unstable for a C below 1.7 according to Florido‐Llinas et al. (2020). The force‐free and drag‐only cases initially begin increasing.…”
Section: Ensemble Study Resultsmentioning
confidence: 99%
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“…Since we assume a constant τ of 1, we expect the flux rope to become kink unstable for a C below 1.7 according to Florido‐Llinas et al. (2020). The force‐free and drag‐only cases initially begin increasing.…”
Section: Ensemble Study Resultsmentioning
confidence: 99%
“…The middle panel shows the change in C, which scales the poloidal field relative to B 0 and evolves based on the relative size and shape of the CME. Since we assume a constant τ of 1, we expect the flux rope to become kink unstable for a C below 1.7 according to Florido-Llinas et al (2020). The force-free and drag-only cases initially begin increasing.…”
Section: Cme Magnetic Fieldmentioning
confidence: 99%
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“…Observations also suggest that the CME, and presumably the MFR, undergo significant evolutionary changes, such as rotation, deformation, or distortion during their heliospheric propagation, among others, (Burlaga et al 2002;Nieves-Chinchilla et al 2012;Manchester et al 2017;Florido-Llinas et al 2020), with a small number of ICMEs evolving in the shape of outwardconcave arcs (Kahler & Webb 2007). To better understand the effects of the evolutionary processes in the CME, the in-situ measurements are compared with the remote-sensing observations.…”
Section: Introductionmentioning
confidence: 99%
“…CME evolution and propagation in the heliosphere is still one of the critical areas of research. In this collection, there are several studies that span from a case event analysis, data analysis, 3D simulation, theoretical understanding of the physical processes associated with the evolution, and identification of the internal structure based on artificial intelligence techniques (Davies et al, 2020;Balmaceda et al, 2020;Desai et al, 2020;Florido-Llinas, Nieves-Chinchilla, and Linton, 2020;dos Santos et al, 2020). As stated by Balmaceda et al (2020) (Editor's choice), a proper characterization of the kinematics of CMEs is important not only for practical purposes, i.e.…”
mentioning
confidence: 99%