Photospheric Magnetic Field Properties of Flaring versus Flare-quiet Active Regions. II. Discriminant Analysis

By K. Leka, G. Barnes. 2003

209 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Astronomy and Astrophysics

View Paper: https://www.semanticscholar.org/paper/2c08d8d2fe6b66017026c44280973cfa412d6016

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Citations in the corpus

Tracking Vector Magnetograms with the Magnetic Induction Equation (2008, background): “However, reliable, repeatable photospheric precursors of CMEs have so far eluded detection (Leka & Barnes 2003a, 2003b, 2007).”
Photospheric Magnetic Field Properties of Flaring versus Flare-quiet Active Regions. IV. A Statistically Significant Sample (2007, methodology): “An unbiased estimate of the error can be obtained from the n 1 error rate (Hills 1966; Leka & Barnes 2003b), in which one data point is excluded and the discriminant function is constructed from the remaining n 1 data points.”
A COMPARISON OF FLARE FORECASTING METHODS. I. RESULTS FROM THE “ALL-CLEAR” WORKSHOP (2016, methodology): “Given an accurate representation of the probability density of a parameter, DA will maximize the overall accuracy of predictions (see Leka & Barnes 2003b, 2007, for examples).”
The Nonpotentiality of Active-Region Coronae and the Dynamics of the Photospheric Magnetic Field (2005, background): “We have found no correlation measures based on entire active regions that are helpful in the separation of nearpotential from nonpotential cases (compare the search for flaring diagnostics by, e.g., Leka & Barnes 2003).”
SOLAR FLARE PREDICTION USING SDO/HMI VECTOR MAGNETIC FIELD DATA WITH A MACHINE-LEARNING ALGORITHM (2014, background): “…field topology (e.g. Schrijver, 2007), others measure the integrated Lorentz force exerted by an AR (e.g. Fisher et al., 2012), and still others parameterize energy, helicity, currents, and shear angles (e.g. Moore et al., 2012; LaBonte et al., 2007; Leka & Barnes, 2003; Hagyard et al., 1984).”
Quantitative Forecasting of Major Solar Flares (2007, background): “Leka & Barnes (2003a, 2003b) examined a large number of photospheric parameters and found no single parameter capable of efficiently distinguishing flaring from nonflaring ARs.”
The Helioseismic and Magnetic Imager (HMI) Vector Magnetic Field Pipeline: SHARPs – Space-Weather HMI Active Region Patches (2014, methodology): “…field configurations, including the best determinations of the true total magnetic flux, have been performed with vector magnetic data (e.g. Leka and Barnes, 2007, Barnes and Leka, 2008, Barnes et al., 2007), albeit with the recognized limitations of ground-based data sources, many of…”
Predicting Solar Flares Using SDO/HMI Vector Magnetic Data Products and the Random Forest Algorithm (2017, methodology): “Leka & Barnes (2003) first used a small sample of vector magnetograms from the Mees Solar Observatory and applied a discriminant analysis to distinguish flare-producing and flare-quiet ARs within few hours.”
Nonlinear Force-free Field Modeling of a Solar Active Region around the Time of a Major Flare and Coronal Mass Ejection (2007, background): “…of preexisting magnetic flux by plasma flows on the surface (e.g., Leka et al. 1996; Wheatland 2000; Démoulin et al. 2002b, 2002a; Falconer et al. 2002; Leka & Barnes 2003a, 2003b; Schrijver et al. 2005; Wiegelmann et al. 2005; Régnier & Canfield 2006; Jing et al. 2006; Schrijver 2007).”