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Surface state photoelectrons in topological insulators: Green's function approach.

D Schmeltzer1, A Saxena

  • 1Physics Department, City College of the City University of New York, NY 10031, USA.

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|November 14, 2015
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Summary

We calculated photoemission from topological insulators, finding electron behavior depends on laser intensity and surface properties. This reveals insights into electron-photon coupling and spin textures for advanced materials.

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Area of Science:

  • Condensed Matter Physics
  • Materials Science
  • Quantum Mechanics

Background:

  • Topological insulators possess unique surface states with linear energy dispersion and chirality.
  • Understanding electron behavior in these states is crucial for novel electronic and spintronic applications.
  • Photoemission spectroscopy is a key technique for probing surface electronic properties.

Purpose of the Study:

  • To compute photoemission intensity and polarization for surface states in topological insulators.
  • To investigate the role of chirality, energy dispersion, and tunneling amplitude on electron-photon coupling.
  • To analyze spin textures using a chiral Dirac Hamiltonian under various conditions (helical, Zeeman, warping).

Main Methods:

  • Utilized a chiral Dirac Hamiltonian to model surface states.
  • Employed the Green's function formalism to derive exact results for photoemission.
  • Analyzed photoemission to second order in the laser field intensity.

Main Results:

  • Photoemission intensity is sensitive to laser coherent state intensity.
  • Photoelectron polarization depends on the surface topology of electronic states and photon polarization.
  • Effective electron-photon coupling is normalized by the tunneling amplitude into the vacuum.

Conclusions:

  • The study provides a theoretical framework for understanding photoemission from topological insulator surface states.
  • Results highlight the sensitivity of photoemission to both external fields and intrinsic material properties.
  • This work offers insights into controlling and detecting spin textures in topological materials.