Ultrafast electronic line width broadening in the C 1s core level of graphene
Davide Curcio, Sahar Pakdel, Klara Volckaert, Jill A. Miwa, S{\o}ren, Ulstrup, Nicola Lanat\`a, Marco Bianchi, Dmytro Kutnyakhov, Federico, Pressacco, G\"unter Brenner, Siarhei Dziarzhytski, Harald Redlin, Steinn, Agustsson, Katerina Medjanik, Dmitry Vasilyev

TL;DR
This study uses ultrafast X-ray spectroscopy to reveal that transient electronic excitation causes rapid broadening of the C 1s core level in graphene, driven by electron-electron interactions rather than vibrations, enabling new insights into excited electronic states.
Contribution
It demonstrates that XPS line shape analysis can directly measure electronic temperature and electron interactions in graphene under ultrafast excitation, confirming a long-standing theoretical prediction.
Findings
Ultrafast excitation causes significant broadening of the C 1s peak.
Broadening is due to electron-electron interactions, not vibrational effects.
XPS line shape can serve as a local probe of excited electron systems.
Abstract
Core level binding energies and absorption edges are at the heart of many experimental techniques concerned with element-specific structure, electronic structure, chemical reactivity, elementary excitations and magnetism. X-ray photoemission spectroscopy (XPS) in particular, can provide information about the electronic and vibrational many-body interactions in a solid as these are reflected in the detailed energy distribution of the photoelectrons. Ultrafast pump-probe techniques add a new dimension to such studies, introducing the ability to probe a transient state of the many-body system. Here we use a free electron laser to investigate the effect of a transiently excited electron gas on the core level spectrum of graphene, showing that it leads to a large broadening of the C 1s peak. Confirming a decade-old prediction, the broadening is found to be caused by an exchange of energy and…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
