activity
20152025
most citedPrediction of Solar Flare Size and Time-to-Flare Using Support Vector Machine Regression

48 citations · 181 across the 12 of their papers we have counts for

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Showing astro-ph.SRShow all

7 papers · 1 filter

astro-ph.SR2025

Incorporating Magnetic Field Characteristics into EUV-Based Automated Segmentation of Coronal Holes

Jeremy A. Grajeda, Laura E. Boucheron, Michael S. Kirk +3

Coronal holes (CHs) are magnetically open regions that allow hot coronal plasma to escape from the Sun and form the high-speed solar wind. This wind can interact with Earth's magne…

astro-ph.SR2024★ 3 cited

Magnetic Field-Constrained Ensemble Image Segmentation of Coronal Holes in Chromospheric Observations

Jaime A. Landeros, Michael S. Kirk, C. Nick Arge +5

Coronal Holes (CHs) are large-scale, low-density regions in the solar atmosphere which may expel high-speed solar wind streams that incite hazardous, geomagnetic storms. Coronal an…

astro-ph.SR2023★ 8 cited

Quantifying the Consistency and Characterizing the Confidence of Coronal Holes Detected by Active Contours without Edges (ACWE)

Jeremy A. Grajeda, Laura E. Boucheron, Michael S. Kirk +2

Coronal Holes (CHs) are regions of open magnetic field lines, resulting in high speed solar wind. Accurate detection of CHs is vital for space weather prediction. This paper presen…

astro-ph.SR2023★ 17 cited

Solar Active Region Magnetogram Image Dataset for Studies of Space Weather

Laura E. Boucheron, Ty Vincent, Jeremy A. Grajeda +1

In this dataset we provide a comprehensive collection of magnetograms (images quantifying the strength of the magnetic field) from the National Aeronautics and Space Administration…

astro-ph.SR2018★ 2 cited

Roadmap for Reliable Ensemble Forecasting of the Sun-Earth System

Gelu Nita, Rafal Angryk, Berkay Aydin +44

The authors of this report met on 28-30 March 2018 at the New Jersey Institute of Technology, Newark, New Jersey, for a 3-day workshop that brought together a group of data provide…

astro-ph.SR2015★ 48 cited

Prediction of Solar Flare Size and Time-to-Flare Using Support Vector Machine Regression

Laura E. Boucheron, Amani Al-Ghraibah, R. T. James McAteer

We study the prediction of solar flare size and time-to-flare using 38 features describing magnetic complexity of the photospheric magnetic field. This work uses support vector reg…

astro-ph.SR2015★ 45 cited

An automated classification approach to ranking photospheric proxies of magnetic energy build-up

Amani Al-Ghraibah, Laura. E. Boucheron, R. T. James McAteer

We study the photospheric magnetic field of ~2000 active regions in solar cycle 23 to search for parameters indicative of energy build-up and subsequent release as a solar flare. W…