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Sunquake Detection Process Diagram
Dec 16, 2022

A Machine Learning Enhanced Approach for Automated Sunquake Detection in Acoustic Emission Maps

Two rows of colorful squares, 8 total, showing coronal geyser jet action
Sep 21, 2022

Thermal and Non-thermal Properties of Active Region Recurrent Coronal Jets Publication Name

A graph showing colored dots representing: True Negative; False Positive; True Positive, False Negative
Aug 23, 2022

Predicting the Geoeffectiveness of CMEs Using Machine Learning

The solar spectrum seen at low resolution, below the atmospheric cutoff at 3100 Angstrom
Jul 11, 2022

Optimal spectral lines for measuring chromospheric magnetic fields

CLEDB 2-line magnetic inversion algorithm flowchart. An important aspect is the delivery of multiple possible solutions for each observation at the last step. Note that the x-coordinate of the point in space, as well as nearest electron density, are returned along with B. The figure uses the notation Vobs and Vdb for observed and computed values of the amplitudes of the Stokes parameters corresponding to O3 and S3 (B = 1) in the text.
Jul 11, 2022

Efficient and Automated Inversions of Magnetically-Sensitive Forbidden Coronal Lines: CLEDB - The Coronal Line Emission DataBase Magnetic Field Inversion Algorithm

Fe XIII 1074.68 nm emission over atmospheric absorption (normalized) in the He I Cryo-NIRSP wavelength range with all labeled candidate lines.
Jul 11, 2022

A Spectroscopic Survey of Infrared 1–4 μm Spectra in Regions of Prominent Solar Coronal Emission Lines of Fe XIII, Si X, and Si IX

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This material is based upon work supported by the National Center for Atmospheric Research, a major facility sponsored by the National Science Foundation and managed by the University Corporation for Atmospheric Research. Any opinions, findings and conclusions or recommendations expressed in this material do not necessarily reflect the views of the National Science Foundation.