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Siegfried Glenzer

Researcher at SLAC National Accelerator Laboratory

Publications -  531
Citations -  20151

Siegfried Glenzer is an academic researcher from SLAC National Accelerator Laboratory. The author has contributed to research in topics: Laser & Plasma. The author has an hindex of 64, co-authored 489 publications receiving 17648 citations. Previous affiliations of Siegfried Glenzer include University of California, Los Angeles & Russian Academy of Sciences.

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Backscatter reduction using combined spatial, temporal, and polarization beam smoothing in a long-scale-length laser plasma.

TL;DR: Spatial, temporal, and polarization smoothing schemes are combined for the first time to reduce to a few percent the total stimulated backscatter of a NIF-like probe laser beam in a long-scale-length laser plasma.
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X-ray conversion efficiency of high-Z hohlraum wall materials for indirect drive ignition

TL;DR: The conversion efficiency of 351nm laser light to soft x rays (0.1-5keV) was measured for Au, U, and high Z mixture materials used as hohlraum wall materials in indirect drive fusion experiments as mentioned in this paper.
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Angular dependence of betatron x-ray spectra from a laser-wakefield accelerator.

TL;DR: The first measurements of the angular dependence of the betatron x-ray spectrum produced by electrons inside the cavity of a laser-wakefield accelerator are presented, showing strong evidence of anisotropic electron trajectories.
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Derivation of the static structure factor in strongly coupled non-equilibrium plasmas for X-ray scattering studies

TL;DR: In this paper, the static response function in strongly coupled and non-equilibrium plasmas is derived based on a linear response formalism coupled to a charged hard sphere reference for the ions.
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Dynamic structure factor in warm dense beryllium

TL;DR: In this paper, the authors calculate the dynamic structure factor (DSF) in warm dense beryllium by means of ab initio molecular dynamics simulations, and compare these with perturbative treatments such as the Born-Mermin approximation.