Photospheric Magnetic Field Properties of Flaring versus Flare-quiet Active Regions. I. Data, General Approach, and Sample Results

By K. Leka, G. Barnes. 2003

208 citations recorded by the source corpus.

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In Astronomy and Astrophysics

Citations in the corpus

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).”
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).”
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.”
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).”
Driving major solar flares and eruptions: A review (2008, background): “…study in this is the work by Barnes and Leka (2008) who evaluate the skill scores of forecasts based on four metrics: total flux, the “total excess energy” (Leka and Barnes 2003), the SPIL flux metric R (Schrijver 2007), and the “effective connected magnetic field” (Georgoulis and Rust 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.”
An Observational Overview of Solar Flares (2011, background): “Incorporating information on the evolution of observed photospheric parameters, the rate ofchange of the strongest photospheric magnetic twists in the region, is the best predictorof a flare (Leka & Barnes 2003).”
The Helioseismic and Magnetic Imager (HMI) Vector Magnetic Field Pipeline: Overview and Performance (2014, background): “There is an extensive literature describing potentially useful active-region indices (e.g. Leka and Barnes, 2003a, Leka and Barnes, 2003b, Barnes and Leka, 2006, Leka and Barnes, 2007, Barnes and Leka, 2008, Falconer, Moore, and Gary, 2008, Schrijver, 2007, Mason and Hoeksema, 2010, Georgoulis and…”