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

  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},
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
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.


Inferring Vector Magnetic Fields from Stokes Profiles of GST/NIRIS Using a Convolutional Neural Network
The proposed physics-assisted deep learning-based CNN tool can be considered as an alternative, efficient method for Stokes inversion for high resolution polarimetric observations obtained by GST/NIRIS.
The SunPy Project: Open Source Development and Status of the Version 1.0 Core Package
The goal of the SunPy project is to facilitate and promote the use and development of community-led, free, and open source data analysis software for solar physics based on the scientific Python
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The Helioseismic and Magnetic Imager (HMI) Vector Magnetic Field Pipeline: Overview and Performance
The Helioseismic and Magnetic Imager (HMI) began near-continuous full-disk solar measurements on 1 May 2010 from the Solar Dynamics Observatory (SDO). An automated processing pipeline keeps pace with
The Helioseismic and Magnetic Imager (HMI) Vector Magnetic Field Pipeline: Optimization of the Spectral Line Inversion Code
The Very Fast Inversion of the Stokes Vector (VFISV) is a Milne–Eddington spectral line inversion code used to determine the magnetic and thermodynamic parameters of the solar photosphere from
On-Orbit Performance of the Helioseismic and Magnetic Imager Instrument onboard the Solar Dynamics Observatory
The calibration measurements used to track the performance of the HMI instrument are described, and it details trends in important instrument parameters during the prime mission.
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A Machine Learning Dataset Prepared From the NASA Solar Dynamics Observatory Mission
A curated dataset from the NASA Solar Dynamics Observatory (SDO) mission in a format suitable for machine learning research is presented, anticipating this curated dataset will facilitate machine learningResearch in heliophysics and the physical sciences generally, increasing the scientific return of the SDO mission.