Extraction of the self energy and Eliashberg function from angle resolved photoemission spectroscopy using the \textsc{xARPES} code

DOI

<p>Angle-resolved photoemission spectroscopy is a powerful experimental technique for studying anisotropic many-body interactions through the electron spectral function. Existing attempts to decompose the spectral function into non-interacting dispersions and electron-phonon, electron-electron, and electron-impurity self-energies rely on linearization of the bands and manual assignment of self-energy magnitudes. Here, we show how self-energies can be extracted consistently for curved dispersions. We extend the maximum-entropy method to Eliashberg-function extraction with Bayesian inference, optimizing the parameters describing the dispersions and the magnitudes of electron-electron and electron-impurity interactions. We compare these novel methodologies with state-of-the-art approaches on model data, then demonstrate their applicability with two high-quality experimental data sets. With the first set, we identify the phonon modes of a two-dimensional electron liquid on TiO<sub>2</sub>-terminated SrTiO<sub>3</sub>. With the second set, we obtain unprecedented agreement between two Eliashberg functions of Li-doped graphene extracted from separate dispersions. We release these functionalities in the novel Python code xARPES.</p> <p>This submission contains all the files and scripts needed to generate the figures and tables of the \textsc{xARPES} paper.</p>

Identifier
DOI https://doi.org/10.24435/materialscloud:2n-ap
Related Identifier https://xarpes.readthedocs.io/en/latest/
Related Identifier https://arxiv.org/abs/2508.13845
Related Identifier https://pypi.org/project/xarpes/
Related Identifier https://anaconda.org/conda-forge/xarpes
Related Identifier https://doi.org/10.1038/s41524-026-02026-9
Related Identifier https://archive.materialscloud.org/communities/mcarchive
Related Identifier https://doi.org/10.24435/materialscloud:fz-qa
Metadata Access https://archive.materialscloud.org/oai2d?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai:materialscloud.org:aers2-k8x52
Provenance
Creator van Waas, Thomas P.; Berthod, Christophe; Berges, Jan; Marzari, Nicola; Dil, J. Hugo; Poncé, Samuel
Publisher Materials Cloud
Contributor van Waas, Thomas P.
Publication Year 2026
Rights info:eu-repo/semantics/openAccess; GNU General Public License v3.0 or later; https://www.gnu.org/licenses/gpl-3.0-standalone.html
OpenAccess true
Contact archive(at)materialscloud.org
Representation
Language English
Resource Type info:eu-repo/semantics/other
Format application/zip; text/markdown
Discipline Materials Science and Engineering