Authors
Dmitrii S Bespalov, Ulf Zastrau, Zhandos A Moldabekov, Thomas Gawne, Tobias Dornheim, Moyassar Meshhal, Alexis Amouretti, Michal Andrzejewski, Karen Appel, Carsten Baehtz, Erik Brambrink, Khachiwan Buakor, Carolina Camarda, David Chin, Gilbert Collins, Céline Crépisson, Adrien Descamps, Jon Eggert, Luke B Fletcher, Alessandro Forte, Gianluca Gregori, Marion Harmand, Oliver S Humphries, Hauke Höppner, Jonas Kuhlke, William Lynn, Julian Lütgert, Masruri Masruri, Emma E McBride, Ryan Stewart McWilliams, Alan Augusto Sanjuan Mora, Jean-Paul Naedler, Paul Neumayer, Charlotte Palmer, Alexander Pelka, Lea Pennacchioni, Calum Prestwood, Natalia A Pukhareva, Chongbing Qu, Divyanshu Ranjan, Ronald Redmer, Michael Röper, Christoph Sahle, Samuel Schumacher, Jan-Patrick Schwinkendorf, Melanie J Sieber, Madison Singleton, Ethan Smith, Christian Sternemann, Thomas Stevens, Michael Stevenson, Cornelius Strohm, Minxue Tang, Monika Toncian, Toma Toncian, Thomas Tschentscher, Sam M Vinko, Justin S Wark, Max Wilke, Dominik Kraus, Thomas R Preston
Published in
Physical review letters. Volume 136. Issue 24. Pages 245102. Jun 19, 2026.
Abstract
The robust diagnosis of conditions generated in warm dense matter experiments remains a persistent challenge. Here, we describe the measurement of shock-compressed aluminium at 50 GPa with angle-resolved femtosecond x-ray Thomson scattering (XRTS) over a wide range of scattering wave vectors at the European X-Ray Free-Electron Laser. The measured plasmon dispersion and line shape show that the de facto standard approach for analyzing XRTS spectra, using uniform-electron-gas models, systematically overestimates the resonance energy by up to 8 eV. We present an approach using ab initio methods that agrees within the experimental uncertainty and demonstrates how accounting for shock-induced disorder in shock-compressed systems is critical for their understanding, providing evidence that ab initio treatments are required for reliable XRTS inference in warm dense aluminium.
PMID:
42412459
Bibliographic data and abstract were imported from PubMed on 07 Jul 2026.
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