738 papers
Plasma physics explores the behavior of the fourth state of matter, a superheated soup of charged particles that makes up most of the visible universe. From the fusion power we hope to harness on Earth to the glowing auroras and distant stars above, this field investigates how these energetic gases interact with magnetic fields and light. It is a dynamic area where extreme conditions reveal fundamental laws of nature in ways solid matter never can.
At Gist.Science, we bridge the gap between these complex discoveries and curious minds by processing every new preprint from arXiv in this category. We transform dense, technical research into clear, plain-language explanations alongside detailed summaries, ensuring that breakthroughs in plasma dynamics and fusion energy are accessible to everyone. Below are the latest papers in plasma physics, curated and simplified for your reading.
This paper presents the design of a buildable, optimized stellarator for the EPOS experiment, demonstrating that key metrics for electron-positron plasma confinement and engineering feasibility can be achieved through advanced optimization tools and the evaluation of eight candidate configurations.
This paper presents a novel, computationally efficient real-time Bayesian technique for estimating radiated power from specific plasma regions at the TCV tokamak using pre-optimized linear combinations of bolometer data, enabling its integration into plasma control systems without relying on prior synthetic training or tomographic reconstruction.
This paper outlines the current configuration, capabilities, and recent technical advancements of the Tokamak à Configuration Variable's infrared thermography systems while highlighting that parasitic infrared light and surface layer heat transmission factors remain the primary sources of uncertainty in heat flux measurements.
This paper presents a new optimization method within the OOPS framework that combines poloidal omnigenity and piecewise omnigenity to generate stellarator configurations with favorable neoclassical transport and bootstrap current properties while relaxing strict omnigenity constraints.
This paper presents a unifying Bayesian framework for sparse-view plasma tomography that integrates data likelihood and profile priors into a posterior distribution, enabling efficient uncertainty quantification and principled statistical analysis through a stochastic gradient flow algorithm validated on TCV tokamak soft x-ray data.
This paper presents a fully-coupled simulation demonstrating that high-voltage pulsed electric fields can effectively mitigate reentry communication blackout by depleting electron density in the plasma sheath, thereby reducing signal attenuation from 60% to 4% with a lightweight, feasible power system, while revealing that ion kinetics primarily govern the sheath's topology.
This paper introduces and analyzes a new class of special functions derived from Bessel, Anger, and Weber functions to solve inhomogeneous Bessel differential equations, demonstrating how their recurrence relations enable a more efficient derivation of the linear susceptibility tensor in hot, magnetized plasmas by avoiding the slow convergence of traditional infinite Bessel series.
This paper argues that a persistent, cycle-invariant discrepancy between radio brightness temperatures and hydrostatic scale-height modeling in the quiet solar corona provides evidence for non-Maxwellian, kappa-distributed electron velocity distributions with kappa values of approximately 2–3, rather than the turbulent scattering or standard thermal equilibrium models previously assumed.
This paper presents a time-dependent interpretive modeling framework using the 0D MCTrans++ code to infer plasma evolution in the Centrifugal Mirror Fusion Experiment (CMFX) from sparse diagnostics, revealing that spreading fuel injections across a discharge improves performance and enables record ion temperatures and neutron yields.
This paper establishes a kinetic field theory for beam-plasma collective oscillations in intermediate-energy charged-particle beams, deriving dispersion relations and critical density thresholds that are validated by a Prometheus beta-VAE analyzing particle-in-cell simulation data to confirm predicted signatures like density-tunable resonances and Friedel oscillations.