Fast and Accurate Emulation of the SDO/HMI Stokes Inversion with Uncertainty Quantification

@article{Higgins2021FastAA,
  title={Fast and Accurate Emulation of the SDO/HMI Stokes Inversion with Uncertainty Quantification},
  author={Richard E. L. Higgins and David F. Fouhey and Dichang Zhang and Spiro K. Antiochos and Graham Barnes and J. Todd Hoeksema and K. D. Leka and Yang Liu and Peter W. Schuck and Tamas I. I. Gombosi},
  journal={The Astrophysical Journal},
  year={2021},
  volume={911}
}
The Helioseismic and Magnetic Imager (HMI) on board NASA’s Solar Dynamics Observatory produces estimates of the photospheric magnetic field, which are a critical input to many space weather modeling and forecasting systems. The magnetogram products produced by HMI and its analysis pipeline are the result of a per-pixel optimization that estimates solar atmospheric parameters and minimizes disagreement between a synthesized and observed Stokes vector. In this paper, we introduce a deep-learning… 
SynthIA: A Synthetic Inversion Approximation for the Stokes Vector Fusing SDO and Hinode into a Virtual Observatory
TLDR
A deep-learning system named SynthIA (Synthetic Inversion Approximation), that can enhance both missions by capturing the best of each instrument’s characteristics by mimics magnetograms from the higher spectral resolution Hinode/SOT-SP pipeline, but is derived from full-disk, high-cadence, and lower spectral-resolution SDO/HMI observations.

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