7 papers
Neural Operator based Multi-Field Reconstruction of Inner Solar Boundary State
Vignesh Kumar Pandian Sathia, Reza Mansouri, Dustin J. Kempton +2
The Solar wind is a continuous flow of charged particles emanating from the solar surface and governed by complex, interacting magnetohydrodynamic processes. Accurate specification…
Developing Machine Learning Models of Subgrid Turbulent Transport for Quiet Sun 3D Radiative Hydrodynamic Simulations
Rimsha Hameed Syeda, Dustin Kempton, Viacheslav Sadykov +2
Numerical modeling of solar plasma dynamics is affected by the resolution of the computational grid. This often requires the estimation of subgrid processes related to the small-sc…
Cluster-Weighted Training of Deep Surrogate Models for Subgrid Turbulent Transport
Rimsha Hameed Syeda, Dustin Kempton, Viacheslav Sadykov +2
Turbulence in the solar interior and atmosphere plays a crucial role in energy transport, yet modeling its subgrid-scale effects remains a major challenge. This study leverages mac…
Describing the swdatatoolkit: A Space Weather Data Analysis Library
Dustin Kempton, Griffin Goodwin, Tarun Kumar Reddy Thippareddy +3
swdatatoolkit is a Python-based scientific software library designed to support the acquisition, preprocessing, and analysis of solar and space weather data. The toolkit consolidat…
Toward Data-Driven Surrogates of the Solar Wind with Spherical Fourier Neural Operator
Reza Mansouri, Dustin Kempton, Pete Riley +1
The solar wind, a continuous stream of charged particles from the Sun's corona, shapes the heliosphere and impacts space systems near Earth. Variations such as high-speed streams a…
Autoregressive Surrogate Modeling of the Solar Wind with Spherical Fourier Neural Operator
Reza Mansouri, Dustin Kempton, Pete Riley +1
The solar wind, a continuous outflow of charged particles from the Sun's corona, shapes the heliosphere and impacts space systems near Earth. Accurate prediction of features such a…