Active region helicity evolution and related coronal mass ejection activity

Green, L.M.; Fuentes, M. C. López; Mandrini, C. H.; Driel-Gesztelyi, L. van; Démoulin, P.

doi:10.1016/s0273-1177(03)90633-8

Cited by 3 publications

(2 citation statements)

References 14 publications

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“…On the other hand, there are also many case studies on the solar origin of CMEs including Zhang and Wang (2001); Webb et al (1998), which found associations between large CMEs and filament eruptions. In Green et al (2003) flares were examined in nine active regions with CME signatures. It was indicated that the energy released by flaring from the magnetic field of an active region was greater anterior to the CME launch than after.…”

Section: Cmes and Their Associations With Solar Activities And Featuresmentioning

confidence: 99%

“…The kinematical evolution of CMEs is described in a three-phase scenario: the initiation phase, the impulsive acceleration phase, and the propagation phase. The changes associated with the magnetic topology for the X1.2 flare that occurred on 30 September 2000 and was not associated with a CME were studied in Green et al (2003). It was noted that the flare resulted from the interaction of two pre-existing loops low in the corona which produced a confined flare.…”

Section: Cmes and Their Associations With Solar Activities And Featuresmentioning

confidence: 99%

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Automated Prediction of CMEs Using Machine Learning of CME – Flare Associations

et al. 2008

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Abstract. In this work, machine learning algorithms are applied to explore the relation between significant flares and their associated CMEs. The NGDC flares catalogue and the SOHO/LASCO CMEs catalogue are processed to associate X and M-class flares with CMEs based on timing information. Automated systems are created to process and associate years of flares and CMEs data, which are later arranged in numerical training vectors and fed to machine learning algorithms to extract the embedded knowledge and provide learning rules that can be used for the automated prediction of CMEs. Different properties are extracted from all the associated (A) and not-associated (NA) flares representing the intensity, flare duration, duration of decline and duration of growth. Cascade Correlation Neural Networks (CCNN) are used in our work. The flare properties are converted to numerical formats that are suitable for CCNN. The CCNN will predict if a certain flare is likely to initiate a CME after input of its properties. Intensive experiments using the Jack-knife techniques are carried out and it is concluded that our system provides an accurate prediction rate of 65.3%. The prediction performance is analysed and recommendation for enhancing the performance are provided.

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Section: Cmes and Their Associations With Solar Activities And Featuresmentioning

confidence: 99%

Section: Cmes and Their Associations With Solar Activities And Featuresmentioning

confidence: 99%

Automated Prediction of CMEs Using Machine Learning of CME – Flare Associations

et al. 2008

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Evolution of Solar and Stellar Dynamo Theory

Charbonneau

Sokoloff

2023

Space Sci Rev

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In this paper, written as a general historical and technical introduction to the various contributions of the collection “Solar and Stellar Dynamo: A New Era”, we review the evolution and current state of dynamo theory and modelling, with emphasis on the solar dynamo. Starting with a historical survey, we then focus on a set of “tension points” that are still left unresolved despite the remarkable progress of the past century. In our discussion of these tension points we touch upon the physical well-posedness of mean-field electrodynamics; constraints imposed by magnetic helicity conservation; the troublesome role of differential rotation; meridional flows and flux transpost dynamos; competing inductive mechanisms and Babcock–Leighton dynamos; the ambiguous precursor properties of the solar dipole; cycle amplitude regulation and fluctuation through nonlinear backreaction and stochastic forcing, including Grand Minima; and the promises and puzzles offered by global magnetohydrodynamical numerical simulations of convection and dynamo action. We close by considering the potential bridges to be constructed between solar dynamo theory and modelling, and observations of magnetic activity in late-type stars.

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Commission 10: Solar Activity

Melrose¹,

Klimchuk²,

Benz³

et al. 2005

Proc. IAU

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Abstract. Commission 10 aims at the study of various forms of solar activity, including networks, plages, pores, spots, fibrils, surges, jets, filaments/prominences, coronal loops, flares, coronal mass ejections (CMEs), solar cycle, microflares, nanoflares, coronal heating etc., which are all manifestation of the interplay of magnetic fields and solar plasma. Increasingly important is the study of solar activities as sources of various disturbances in the interplanetary space and near-Earth "space weather".Over the past three years a major component of research on the active Sun has involved data from the RHESSI spacecraft. This review starts with an update on current and planned solar observations from spacecraft. The discussion of solar flares gives emphasis to new results from RHESSI, along with updates on other aspects of flares. Recent progress on two theoretical concepts, magnetic reconnection and magnetic helicity is then summarized, followed by discussions of coronal loops and heating, the magnetic carpet and filaments. The final topic discussed is coronal mass ejections and space weather.The discussions on each topic is relatively brief, and intended as an outline to put the extensive list of references in context.The review was prepared jointly by the members of the Organizing Committee, and the names of the primary contributors to the various sections are indicated in parentheses.

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Active region helicity evolution and related coronal mass ejection activity

Cited by 3 publications

References 14 publications

Automated Prediction of CMEs Using Machine Learning of CME – Flare Associations

Automated Prediction of CMEs Using Machine Learning of CME – Flare Associations

Evolution of Solar and Stellar Dynamo Theory

Commission 10: Solar Activity

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