The role of A in ARPES — Draconitic Research

Abstract

Angle-resolved photoemission spectroscopy (ARPES) was developed in the 1970s-1990s as a momentum-resolved probe of the electronic structure of solids, with its basic principles summarized in early seminal works and classic reviews. The basic ARPES result is currently almost exclusively associated with the two-dimensional intensity distribution with coordinate axes labeled as Binding Energy and Momentum. Such datasets are usually directly compared to the band structure calculations along high symmetry directions of the Brillouin zone. Here we show that this is the result of an oversimplified treatment of the ARPES data leading to incorrect interpretations of the experimental results. We suggest practical ways of how to avoid it in both data collection and analysis.

Versions

10.1107/s1600577526001943Published version10.1107/s1600577526001943

Cite

BibTeX RIS

BibTeX

@misc{borisenko2026role,
  title = {{The role of A in ARPES}},
  author = {Sergey Borisenko},
  howpublished = {arXiv},
  year = {2026},
  month = oct,
  doi = {10.48550/arxiv.2610.36909},
  eprint = {2610.36909},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2610.36909},
  note = {CC BY 4.0},
}

RIS

TY  - UNPB
TI  - The role of A in ARPES
AU  - Sergey Borisenko
PY  - 2026
DA  - 2026/10/27
PB  - arXiv
DO  - 10.48550/arxiv.2610.36909
UR  - https://arxiv.org/abs/2610.36909
AB  - Angle-resolved photoemission spectroscopy (ARPES) was developed in the 1970s-1990s as a momentum-resolved probe of the electronic structure of solids, with its basic principles summarized in early seminal works and classic reviews. The basic ARPES result is currently almost exclusively associated with the two-dimensional intensity distribution with coordinate axes labeled as Binding Energy and Momentum. Such datasets are usually directly compared to the band structure calculations along high symmetry directions of the Brillouin zone. Here we show that this is the result of an oversimplified treatment of the ARPES data leading to incorrect interpretations of the experimental results. We suggest practical ways of how to avoid it in both data collection and analysis.
ER  -