7 papers
Probing ultrafast heating and ionization dynamics in solid density plasmas with time-resolved resonant X-ray absorption and emission
Lingen Huang, Mikhail Mishchenko, Michal Å mÃd +34
Heating and ionization are among the most fundamental processes in relativistic laser--solid interactions; however, their spatiotemporal evolution remains challenging to capture ex…
XFEL Imaging Techniques for High Energy Density and Inertial Fusion Energy Research at HED-HiBEF
Alejandro Laso Garcia, Mikhail Mishchenko, Victorien Bouffetier +53
The imaging platform developed at the High Energy Density - Helmholtz International Beamline for Extreme Fields (HED-HiBEF) instrument at the European XFEL and its applications to…
Reduction of SAXS Signal due to Doppler Broadening Induced Loss of Coherence
Thomas Kluge, Uwe Hernandez Acosta, Klaus Steiniger +2
We present an analytical and numerical study of how Doppler-induced spectral broadening in laser-heated plasmas degrades the coherence of small-angle X-ray scattering (SAXS) signal…
Microscopy X-ray Imaging enriched with Small Angle X-ray Scattering for few nanometer resolution reveals shock waves and compression in intense short pulse laser irradiation of solids
Thomas Kluge, Arthur Hirsch-Passicos, Jannis Schulz +23
Understanding how laser pulses compress solids into high-energy-density states requires diagnostics that simultaneously resolve macroscopic geometry and nanometer-scale structure.…
Radiative Signatures of Magnetic Reconnection: An Approach to Remote Probing of Reconnection Dynamics
Sergey K. Ermakov, Michael Bussmann, Alexander Debus +4
Magnetic reconnection drives a wide range of astrophysical phenomena, including geomagnetic storms, solar flares, and activity in blazars. However, direct measurement of key reconn…
The Artificial Scientist -- in-transit Machine Learning of Plasma Simulations
Jeffrey Kelling, Vicente Bolea, Michael Bussmann +19
Increasing HPC cluster sizes and large-scale simulations that produce petabytes of data per run, create massive IO and storage challenges for analysis. Deep learning-based techniqu…