Large-Scale Spatial Cross-Calibration of Hinode/SOT-SP and SDO/HMI

no code implementations • 29 Sep 2022 • David F. Fouhey, Richard E. L. Higgins, Spiro K. Antiochos, Graham Barnes, Marc L. DeRosa, J. Todd Hoeksema, K. D. Leka, Yang Liu, Peter W. Schuck, Tamas I. Gombosi

Second, analysis of over 12, 000 scans show that the pointing information is often incorrect by dozens of arcseconds with a strong bias.

SynthIA: A Synthetic Inversion Approximation for the Stokes Vector Fusing SDO and Hinode into a Virtual Observatory

no code implementations • 27 Aug 2021 • Richard E. L. Higgins, David F. Fouhey, Spiro K. Antiochos, Graham Barnes, Mark C. M. Cheung, J. Todd Hoeksema, KD Leka, Yang Liu, Peter W. Schuck, Tamas I. Gombosi

Both NASA's Solar Dynamics Observatory (SDO) and the JAXA/NASA Hinode mission include spectropolarimetric instruments designed to measure the photospheric magnetic field.

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

1 code implementation • 31 Mar 2021 • Richard E. L. Higgins, David F. Fouhey, Dichang Zhang, Spiro K. Antiochos, Graham Barnes, J. Todd Hoeksema, K. D. Leka, Yang Liu, Peter W. Schuck, Tamas I. Gombosi

The Helioseismic and Magnetic Imager (HMI) onboard NASA's Solar Dynamics Observatory (SDO) produces estimates of the photospheric magnetic field which are a critical input to many space weather modelling and forecasting systems.

Uncertainty Quantification

Predicting solar flares with machine learning: investigating solar cycle dependence

1 code implementation • 1 Dec 2019 • Xiantong Wang, Yang Chen, Gabor Toth, Ward B. Manchester, Tamas I. Gombosi, Alfred O. Hero, Zhenbang Jiao, Hu Sun, Meng Jin, Yang Liu

A deep learning network, Long-Short Term Memory (LSTM) network, is used in this work to predict whether the maximum flare class an active region (AR) will produce in the next 24 hours is class $\Gamma$.

Solar and Stellar Astrophysics