A5031581686- Laser-Plasma Interactions and Diagnostics
- Atomic and Molecular Physics
- Magnetic confinement fusion research
- Nuclear Physics and Applications
- Astrophysics and Cosmic Phenomena
- Ionosphere and magnetosphere dynamics
- High-Energy Particle Collisions Research
- High-pressure geophysics and materials
- Gamma-ray bursts and supernovae
- Solar and Space Plasma Dynamics
- Scientific Measurement and Uncertainty Evaluation
- Laser-Matter Interactions and Applications
University of Rochester
2023-2024
Z-pinch platforms constitute a promising pathway to fusion energy research. Here, we present one-dimensional numerical study of the staged (SZP) concept using FLASH and MACH2 codes. We discuss verification codes two analytical benchmarks that include Z-pinch-relevant physics, building confidence on codes' ability model such experiments. Then, is used simulate different SZP configurations: xenon gas-puff liner (SZP1*) silver solid (SZP2). The SZP2 results are compared against previously...
The numerical modeling of gas-puff Z pinches involves the nonlinear coupling a broad range complex, multi-physics phenomena that makes such simulations challenging. challenge is further compounded by instabilities can impact dynamics imploding pinches, as magneto Rayleigh–Taylor instability (MRTI). If growth rate and amplitude latter comparable to relevant timescales properties plasma, MRTI dramatically alter implosion dynamics, dictate pinch stability, govern plasma achievable in...
We present numerical simulations used to interpret laser-driven plasma experiments at the GSI Helmholtz Centre for Heavy Ion Research. The mechanisms by which non-thermal particles are accelerated in astrophysical environments, e.g., solar wind, supernova remnants, and gamma ray bursts, is a topic of intense study. When shocks present, primary acceleration mechanism believed be first-order Fermi, accelerates as they cross shock. Second-order Fermi can also contribute, utilizing magnetic...
Fast analysis of collective Thomson scattering ion acoustic wave features using a deep convolutional neural network model is presented. The was trained from spectra to predict the plasma parameters, including velocities, population fractions, and electron temperatures. A fully kinetic particle-in-cell simulation used laboratory astrophysics experiment simulate diagnostic image feature. Network predictions were compared with Bayesian inference parameters for both simulated experimentally...
Z-pinch platforms constitute a promising pathway to fusion energy research. Here, we present one-dimensional numerical study of the staged (SZP) concept using FLASH and MACH2 codes. We discuss verification codes two analytical benchmarks that include Z-pinch-relevant physics, building confidence on codes' ability model such experiments. Then, is used simulate different SZP configurations: xenon gas-puff liner (SZP1*) silver solid (SZP2). The SZP2 results are compared against previously...