Photospheric Magnetic Field Properties of Flaring versus Flare-quiet Active Regions. IV. A Statistically Significant Sample

By K. Leka, G. Barnes. 2007

205 citations recorded by the source corpus.

Subfields: Astronomy and Astrophysics, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/4b39e393472bc6c95f7711ba12150f5e491d89da

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Astronomy and Astrophysics

1. Monica G. Bobra
2. C. Schrijver
3. S. Couvidat
4. M. Temmer
5. P. Schuck
6. J. Todd Hoeksema
7. Haimin Wang
8. Chang Liu

In Molecular Biology

1. Monica G. Bobra
2. P. Schuck
3. S. Couvidat
4. J. Todd Hoeksema
5. C. Schrijver
6. M. Temmer
7. Xudong Sun
8. Yang Liu

Citations in the corpus

• Driving major solar flares and eruptions: A review (2008, background): “The study by Leka and Barnes (2007) is an excellent example of that, but still leaves us with an unclear picture.”
• SOLAR FLARE PREDICTION USING SDO/HMI VECTOR MAGNETIC FIELD DATA WITH A MACHINE-LEARNING ALGORITHM (2014, background): “As it has been emphasized in the past (e.g. Leka & Barnes, 2003, 2007), it is not clear that using photospheric magnetic field data alone will allow us to significantly improve these forecasting capabilities.”
• 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).”
• An Observational Overview of Solar Flares (2011, background): “…in regions with high total photospheric magnetic flux, excess magnetic energy, long polarity inversion lines witha strong, highly variable distribution of shear along their length (Cui et al. 2006; Leka & Barnes 2007) and a high fractal dimension of the photospheric field (McAteer et al. 2005).”
• A COMPARISON OF FLARE FORECASTING METHODS. I. RESULTS FROM THE “ALL-CLEAR” WORKSHOP (2016, methodology): “…has proliferated, with widely varying evaluations about how well each works (e.g., Abramenko 2005; McAteer et al. 2005a; Jing et al. 2006; Leka & Barnes 2007; Schrijver 2007; Barnes & Leka 2008; Mason & Hoeksema 2010; Yu et al. 2010; Yang et al. 2013; Al- Ghraibah et al. 2015; Boucheron…”
• MAGNETIC FIELD STRUCTURES TRIGGERING SOLAR FLARES AND CORONAL MASS EJECTIONS (2012, background): “…observations suggested that these properties tend to correlate with the solar eruption productivity, the triggering mechanism for solar eruptions is still debated (Forbes 2000), and we do not yet well understand what determines the onset of solar eruptions (Leka & Barnes 2007; Welsch et al. 2011).”
• 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…”
• The Helioseismic and Magnetic Imager (HMI) Vector Magnetic Field Pipeline: Overview and Performance (2014, background): “…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 Rust, 2007).”
• Predicting Solar Flares Using SDO/HMI Vector Magnetic Data Products and the Random Forest Algorithm (2017, background): “Subsequent studies were also made on extending to a larger number of samples and a prediction time window of 24 hours (Leka & Barnes 2007), and on producing probability forecast (Barnes et al. 2007).”