2022 Session 10. Machine Learning and Data Assimilation in Heliophysics: Capturing the Current Picture Archives

June 10, 2022 Samuel Fordin

Identifying Circularly-Polarized Waves in the Solar Wind Using 1D Convolutional Neural Networks

Authors: Samuel Fordin (University of Delaware),Michael Shay (University of Delaware),Lynn B. Wilson III (NASA GSFC),Bennett Maruca (University of Delaware),Barbara Thompson (NASA GSFC) 26 years ofView More

2022 WG2: Interplanetary

2022 Session 10. Machine Learning and Data Assimilation in Heliophysics: Capturing the Current Picture 2022 Student Poster

June 4, 2022 Fernando Carcaboso Morales

Advantages of Characterising the Suprathermal Electrons Pitch-angle Distribution

Authors: Fernando Carcaboso (NASA Goddard Space Flight Center, The Catholic University of America), Raúl Gómez-Herrero (Space Research Group, University of Alcalá), Francisco Espinosa Lara (SpaceView More

2022 WG3: Solar energetic particles (including suprathermal and GCR)

2022 PSP and SO: Origin and Acceleration of the Solar Wind(s)2022 Session 04. Heliospheric Turbulence I – Interplay of Large-scale Structure with Turbulence 2022 Session 10. Machine Learning and Data Assimilation in Heliophysics: Capturing the Current Picture 2022 Session 11. Modeling CME initiation and propagation through the heliosphere 2022 Session 12. Flux Ropes and their Dynamics 2022 Student Poster

June 4, 2022 Luiz Fernando Guedes dos Santos

Using supervised learning to identify flux rope and its and orientation

Authors: Luiz F. G. dos Santos (nextSource Inc), Thomas Narock (Goucher College), Ayris Narock ( NASA GSFC/ADNET Systems Inc), Sanchita Pal (NASA GSFC/University of Helsinky),View More

2022 WG2: Interplanetary

2022 Session 10. Machine Learning and Data Assimilation in Heliophysics: Capturing the Current Picture 2022 Session 12. Flux Ropes and their Dynamics

June 3, 2022 Ruizhu Chen

Mapping the Sun’s Far-Side Magnetic Flux from Near-side Helioseismic Measurements by Deep Learning

Authors: Ruizhu Chen (Stanford University), Junwei Zhao (Stanford University), Shea A. Hess Webber (Stanford) The Sun’s far-side magnetic field is important for space weather forecastingView More

2022 WG1: Solar (including interior) and coronal

2022 Invited Speaker Abstract (no poster)2022 Session 10. Machine Learning and Data Assimilation in Heliophysics: Capturing the Current Picture

June 3, 2022 KD Leka

AIA Active Region Patches (AARPs): an ML-ready dataset (and initial forecasting-“related” analysis)

Authors: KD Leka (NWRA and Nagoya University), Karin Dissauer (NWRA), Graham Barnes (NWRA), Eric Wagner (NWRA) NWRA is releasing a machine-learning-ready dataset of E/UV timeseriesView More

2022 WG1: Solar (including interior) and coronal

2022 Session 10. Machine Learning and Data Assimilation in Heliophysics: Capturing the Current Picture 2022 Session 13. How can we improve our current understanding of the nature of pre-eruptive configurations and the genesis of solar eruptions?

June 3, 2022 Dennis Tilipman

Using Machine Learning to Infer Transverse Velocities and Compute Poynting Flux in the Quiet Sun

Authors: Dennis Tilipman (University of Colorado, Boulder / LASP / NSO), Maria Kazachenko (University of Colorado, Boulder / LASP / NSO), Benoit Tremblay (University ofView More

2022 WG1: Solar (including interior) and coronal

2022 Session 10. Machine Learning and Data Assimilation in Heliophysics: Capturing the Current Picture 2022 Student Poster

June 3, 2022 Subhamoy Chatterjee

Homogenizing Solar Extreme Ultraviolet Imaging Surveys with Uncertainty: A model-ensemble approach

Authors: Subhamoy Chatterjee (SwRI), Andres Munoz-Jaramillo (SwRI), Maher Dayeh (SwRI & UTSA), Hazel Bain (CIRES & NOAA SWPC), Kim Moreland (UTSA & SwRI) Solar imagesView More

2022 WG1: Solar (including interior) and coronal

2022 Session 05. Understanding and Quantifying the Performance and Uncertainties in Solar and Heliospheric Models 2022 Session 07. Data Mining for Science of the Sun-Earth Connection as a Single System 2022 Session 10. Machine Learning and Data Assimilation in Heliophysics: Capturing the Current Picture

June 3, 2022 Subhamoy Chatterjee

Validating a Multivariate Ensemble of SEP Forecasting Models with SHINE Challenge Events and Non-events over the Period 2014-2022

Authors: Subhamoy Chatterjee (SwRI), Andres Munoz-Jaramillo (SwRI), Kim Moreland (UTSA & SwRI), Maher Dayeh (SwRI & UTSA), Hazel Bain (CIRES & NOAA SWPC) We builtView More

2022 WG3: Solar energetic particles (including suprathermal and GCR)

2022 Session 07. Data Mining for Science of the Sun-Earth Connection as a Single System 2022 Session 09. SHINE Challenge: SEP Model Validation Community Effort – Forecasting the “Non-event”2022 Session 10. Machine Learning and Data Assimilation in Heliophysics: Capturing the Current Picture

June 1, 2022 Viacheslav Sadykov

Machine Learning-Driven Prediction of “All-Clear” Periods for Solar Proton Events

Authors: Sadykov, V.M. (GSU), Kosovichev, A.G. (NJIT), Kitiashvili, I.N. (NASA ARC), Oria, V. (NJIT), Nita, G.M. (NJIT), O’Keefe, P. (NJIT), Francis, F. (NJIT), Chong, C.J.View More

2022 WG3: Solar energetic particles (including suprathermal and GCR)

2022 Session 09. SHINE Challenge: SEP Model Validation Community Effort – Forecasting the “Non-event”2022 Session 10. Machine Learning and Data Assimilation in Heliophysics: Capturing the Current Picture

May 26, 2022 Xuanye Ma

Comparing information and wave propagation in the solar wind observations and MHD simulations

Authors: Xuanye Ma (ERAU), Katariina Nykyri (ERAU), Simon Wing (JHU/APL), Katherine Holland (ERAU) The solar wind propagates at supersonic speed in the interplanetary medium. Therefore, one wouldView More

2022 WG2: Interplanetary

2022 Session 10. Machine Learning and Data Assimilation in Heliophysics: Capturing the Current Picture

May 20, 2022 Daniel da Silva

Predicting Solar Wind Footpoints as Probability Distributions using WSA/ADAPT

Authors: Daniel da Silva (NASA/GSFC, UMBC), Nick Arge (NASA/GSFC), Shaela Jones (NASA/GSFC, Catholic University), Samantha Wallace (NASA/GSFC) The origin point on the sun corresponding toView More

2022 WG1: Solar (including interior) and coronal

2022 Session 05. Understanding and Quantifying the Performance and Uncertainties in Solar and Heliospheric Models 2022 Session 10. Machine Learning and Data Assimilation in Heliophysics: Capturing the Current Picture 2022 Student Poster

May 17, 2022 Nat Mathews

Emulating Coronal Field Models with Physics-Informed Neural Nets

Authors: Nathaniel H. Mathews (NASA GSFC), Barbara J. Thompson (NASA GSFC) Predicting the current or future state of the coronal magnetic field requires high-resolution modelsView More

2022 WG1: Solar (including interior) and coronal

2022 Session 10. Machine Learning and Data Assimilation in Heliophysics: Capturing the Current Picture 2022 Session 12. Flux Ropes and their Dynamics 2022 Session 19. Data-driven models of solar flares: where are we and what’s next?

May 6, 2022 Xudong Sun

SpIn4D: Spectropolarimetric Inversion in Four Dimensions with Deep Learning

Authors: Xudong Sun (U Hawaii), Curt Dodds (U Hawaii), Sarah Jaeggli (NSO), Matthias Rempel (NCAR), Peter Sadowski (U Hawaii), Thomas Schad (NSO), Lucas Tarr (NSO),View More

2022 WG1: Solar (including interior) and coronal

2022 Session 10. Machine Learning and Data Assimilation in Heliophysics: Capturing the Current Picture