PlasmaPy: an open source community-developed Python package for plasma physics
No abstract provided.
70 PLASMA PHYSICS AND FUSION TECHNOLOGY↗
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Machine learning analysis of high-repetition-rate two-dimensional Thomson scattering spectra from laser-produced plasmas
With the emergence of high-repetition-rate two-dimensional Thomson scattering (TS) measurements, improving spectral data analysis is a key area of interest. Here, we present a new way to derive the electron temperature and density of laser-driven blast waves in plasmas from their TS spectra with machine learning (ML). This analysis occurs in both the non-collective (α < 1) and collective (α > 1) scattering regimes with the goal of autonomously and more accurately determining T c and n e both where spectral data has been collected and to give the ability to predict these attributes in regions where data has not been collected. We introduce three ML models, one trained only on experimental data, one only on synthetic data, and one using transfer learning, and compare their speed and accuracy with the conventional TS inversion algorithms in the open source PlasmaPy python package.
70 PLASMA PHYSICS AND FUSION TECHNOLOGY↗
Collaborative Research: The evolution of magnetic skeletons during 3D magnetic reconnection. Final Technical Report
The goals of this project were to investigate magnetic field evolution during 3D magnetic reconnection; begin development of an open source Python package for plasma research and education; advise students on research projects related to magnetic reconnection; and organize a conference session on diversity, equity, and inclusion in plasma physics. The principal investigator advanced an analytical theory to describe the ideal and non-ideal motion of the magnetic field lines that connect two magnetic null points; led development of the PlasmaPy package through version 0.2.0; directly advised two students; and is co-organizing a town hall on diversity, equity, and inclusion at a major plasma physics conference.
70 PLASMA PHYSICS AND FUSION TECHNOLOGY↗