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High Resolution Phonon-assisted Quasi-resonance Fluorescence Spectroscopy

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Published on: June 28, 2016

Adaptive sparse sampling for quasiparticle interference imaging.

Jens Oppliger¹, Berk Zengin¹, Danyang Liu¹

¹Department of Physics, University of Zurich, Winterthurerstrasse 190, Zurich CH-8057, Switzerland.

|July 28, 2022

Summary

This summary is machine-generated.

Adaptive sparse sampling (ASS) accelerates quasiparticle interference imaging (QPI) by gradually collecting data until high quality is reached. This method reduces measurement time for quantum material band structure analysis.

Keywords:

Fourier Transform scanning tunneling microscopy Quantum materials characterization Quasiparticle interference imaging Sparse Sampling

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Area of Science:

Condensed Matter Physics
Materials Science
Surface Science

Background:

Quasiparticle interference imaging (QPI) reveals quantum material band structures via Fourier transforms of local density of states (LDOS).
Traditional QPI requires extensive scanning tunneling microscopy (STM) measurements, often taking days.
Sparse sampling techniques have been proposed to reduce QPI measurement time.

Purpose of the Study:

To introduce and validate an adaptive sparse sampling (ASS) approach for efficient QPI.
To enable controllable interruption and resumption of QPI measurements.
To improve the quality and reduce the time required for QPI data acquisition.

Main Methods:

Implemented an adaptive sparse sampling (ASS) strategy using compressive sensing recovery.
Gradually accumulated sparsely sampled LDOS measurements until a target quality was achieved.
Interleaved LDOS measurements with topographic images for registry, drift correction, and resuming measurements.

Main Results:

Demonstrated a method to achieve high-quality QPI images with significantly reduced measurement time.
Showcased the ability to interrupt and resume QPI measurements without data loss.
Validated the effectiveness of scattering wave conserving background subtractions.

Conclusions:

The adaptive sparse sampling (ASS) approach offers a practical and efficient extension to QPI.
ASS removes hesitations in implementing sparse sampling for QPI, facilitating faster quantum material characterization.
This method enhances the feasibility of studying complex band structures through reduced experimental effort.