Projects per year
Abstract
Quasiparticle interference (QPI) imaging is well established to study the low-energy electronic structure in strongly correlated electron materials with unrivalled energy resolution. Yet, being a surface-sensitive technique, the interpretation of QPI only works well for anisotropic materials, where the dispersion in the direction perpendicular to the surface can be neglected and the quasiparticle interference is dominated by a quasi-2D electronic structure. Here, we explore QPI imaging of galena, a material with an electronic structure that does not exhibit pronounced anisotropy. We find that the quasiparticle interference signal is dominated by scattering vectors which are parallel to the surface plane however originate from bias-dependent cuts of the 3D electronic structure. We develop a formalism for the theoretical description of the QPI signal and demonstrate how this quasiparticle tomography can be used to obtain information about the 3D electronic structure and orbital character of the bands.
Original language | English |
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Article number | 6739 |
Number of pages | 8 |
Journal | Nature Communications |
Volume | 12 |
DOIs | |
Publication status | Published - 18 Nov 2021 |
Fingerprint
Dive into the research topics of 'Tomographic mapping of the hidden dimension in quasi-particle interference'. Together they form a unique fingerprint.Projects
- 6 Finished
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Searching for Quantum Minerals: Searching for Quantum Minerals: Natural Templates for Advanced Technologies leading a Net-Zero
Raub, T. D. (PI)
31/12/20 → 31/07/21
Project: Standard
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Searching for Quantum Minerals: Searching for Quantum Minerals: Natural Templates for Advanced Technologies leading a Net-Zero Economy
Wahl, P. (PI)
31/12/20 → 31/07/21
Project: Standard
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RS Phil King: Electronic Structure Engineering of Novel Topological Phases
King, P. (PI)
1/10/18 → 30/09/21
Project: Fellowship
Datasets
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Tomographic mapping of the hidden dimension in quasi-particle interference (dataset)
De Almeida Marques, C. (Creator), Bahramy, S. (Creator), Trainer, C. (Creator), Markovic, I. (Creator), Watson, M. D. (Creator), Mazzola, F. (Creator), Rajan, A. (Creator), Raub, T. D. (Creator), King, P. (Creator) & Wahl, P. (Creator), University of St Andrews, 24 Nov 2021
DOI: 10.17630/a645e1e1-34fc-4642-8223-802dd3f52be7
Dataset
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