Using Machine Learning Methods to Explore and Constrain Multi-Height Observations of the Solar Atmosphere

Authors: James Crowley (National Solar Observatory, CU Boulder), Kevin Reardon (National Solar Observatory, CU Boulder) New-generation solar telescopes like DKIST are providing high-resolution multi-height observationsView More

Spatial-Temporal Super-Resolution of SOHO and SDO Observations via Deep Learning

Authors: Chunhui Xu (New Jersey Institute of Technology), Jason T. L. Wang (New Jersey Institute of Technology), Haimin Wang (New Jersey Institute of Technology), YanView More

Seeking Waves and Flows in the Corona using DKIST Cryo-NIRSP Observations

Authors: CR. Gilly (Southwest Research Institute), Momchil Molnar(Southwest Research Institute) In this work we look at new data from the Cryo-NIRSP instrument at the DKISTView More

Current and Next-Gen Solar Radio Observations as Multi-messenger Complements to Your Work

Authors: Brian O’Donnell (NJIT-Center for Solar Terrestrial Research), Dale E. Gary (NJIT-Center for Solar Terrestrial Research) The enormous range of frequencies/energies of electromagnetic radiation belowView More

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