activity
20232025
most citedSolar Active Region Magnetogram Image Dataset for Studies of Space Weather

17 citations · 35 across the 5 of their papers we have counts for

collaborators

5 papers

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…

eess.IV2023★ 7 cited

Neural-based Compression Scheme for Solar Image Data

Ali Zafari, Atefeh Khoshkhahtinat, Jeremy A. Grajeda +6

Studying the solar system and especially the Sun relies on the data gathered daily from space missions. These missions are data-intensive and compressing this data to make them eff…

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…