Speaker
Description
Accurate, non-invasive density diagnostics of laser-driven targets are essential for optimizing high-intensity experiments in laser-plasma acceleration (LPA) and inertial-confinement fusion (ICF). We apply a computational X-ray imaging workflow based on single-shot, in-line coherent holography that records diffraction patterns with strong phase contrast and reconstructs spatial phase, and thus density, from intensity-only data. The inverse problem is addressed with differentiable optical propagators and machine-learning-assisted phase retrieval that incorporate physical priors to recover fine-scale structure.
As a proof of concept, we present reconstructions of laser-irradiated hydrogen gas jets, resolving hydrodynamic features relevant to plasma tailoring and injection control. The workflow is compatible with both external light sources and compact plasma-based X-ray sources, supporting feedback-oriented operation on LPA platforms.
We also outline an application to ICF: XFEL-based coherent diffraction imaging of shock-compressed solid hydrogen. At the European XFEL’s HED-HIBEF instrument, the approach targets resolving fuel-compression dynamics from ~20 µm down to sub-micron scales, addressing a central diagnostic need for high-gain implosion studies. Together, these results position computational X-ray holography as a versatile, physics-informed diagnostic bridging matter studies and enabling technologies across LPA and ICF.
| Speed talk: | I am unwilling/unable to present a speed talk |
|---|
