3 papers
physics.plasm-ph2026
Energy-based models for diagnostic reconstruction and analysis in a laboratory plasma device
Phil Travis, Troy Carter
Energy-based models (EBMs) provide a powerful and flexible way of learning a joint probability distribution over data by constructing an energy surface. This energy surface enables…
physics.plasm-ph2025
Machine-learned trends in mirror configurations in the Large Plasma Device
Phil Travis, Jacob Bortnik, Troy Carter
This study demonstrates the efficacy of ML-based trend inference using data from the Large Plasma Device (LAPD). The LAPD is a flexible basic plasma science device with a high disc…
physics.plasm-ph2025
Turbulence and transport in mirror geometries in the Large Plasma Device
Phil Travis, Troy Carter
Thanks to advances in plasma science and enabling technology, mirror machines are being reconsidered for fusion power plants and as possible fusion volumetric neutron sources. Howe…