Adaptive sparse sampling for quasiparticle interference imaging

Quasiparticle interference imaging (QPI) offers insight into the band structure of quantum materials from the Fourier transform of local density of states (LDOS) maps. Their acquisition with a scanning tunneling microscope is traditionally tedious due to the large number of required measurements tha...

Full description

Saved in:
Bibliographic Details
Published inMethodsX Vol. 9; p. 101784
Main Authors Oppliger, Jens, Zengin, Berk, Liu, Danyang, Hauser, Kevin, Witteveen, Catherine, von Rohr, Fabian, Natterer, Fabian Donat
Format Journal Article
LanguageEnglish
Published Elsevier B.V 01.01.2022
Elsevier
Subjects
Online AccessGet full text

Cover

Loading…
More Information
Summary:Quasiparticle interference imaging (QPI) offers insight into the band structure of quantum materials from the Fourier transform of local density of states (LDOS) maps. Their acquisition with a scanning tunneling microscope is traditionally tedious due to the large number of required measurements that may take several days to complete. The recent demonstration of sparse sampling for QPI imaging showed how the effective measurement time could be fundamentally reduced by only sampling a small and random subset of the total LDOS. However, the amount of required sub-sampling to faithfully recover the QPI image remained a recurring question. Here we introduce an adaptive sparse sampling (ASS) approach in which we gradually accumulate sparsely sampled LDOS measurements until a desired quality level is achieved via compressive sensing recovery. The iteratively measured random subset of the LDOS can be interleaved with regular topographic images that are used for image registry and drift correction. These reference topographies also allow to resume interrupted measurements to further improve the QPI quality. Our ASS approach is a convenient extension to quasiparticle interference imaging that should remove further hesitation in the implementation of sparse sampling mapping schemes. • Accumulative sampling for unknown degree of sparsity • Controllably interrupt and resume QPI measurements • Scattering wave conserving background subtractions [Display omitted]
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISSN:2215-0161
2215-0161
DOI:10.1016/j.mex.2022.101784