PyARPES: An analysis framework for multimodal angle-resolved photoemission spectroscopies | Zendy

Conrad Stansbury | Zendy; Alessandra Lanzara | Zendy

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PyARPES: An analysis framework for multimodal angle-resolved photoemission spectroscopies

Author(s) -

Conrad Stansbury,

Alessandra Lanzara

Publication year - 2020

Publication title -

softwarex

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.528

H-Index - 21

ISSN - 2352-7110

DOI - 10.1016/j.softx.2020.100472

Subject(s) - angle resolved photoemission spectroscopy , photoemission spectroscopy , surface science , scanning tunneling microscope , inverse photoemission spectroscopy , materials science , resolution (logic) , x ray photoelectron spectroscopy , physics , electronic structure , nanotechnology , condensed matter physics , surface (topology) , nuclear magnetic resonance , computer science , geometry , mathematics , artificial intelligence

The advent of higher resolution and throughput photoemission spectroscopy experiments has made angle-resolved photoemission spectroscopy (ARPES) a critical tool for the study of quantum materials. The simultaneous development of novel ARPES techniques, including nano/ μ -ARPES, spin-resolved ARPES, and pump-probe ARPES mirrors the expansion in scanning modes for scanning tunneling microscopy, which made scanning probe methods the gold standard for driving insights into surface physics. In this paper, we introduce PyARPES, an open source and modular data analysis framework for angle-resolved photoemission spectroscopies. We highlight PyARPES’ current capabilities for the analysis of the large photoemission datasets created by nano-ARPES and pump-probe ARPES experiments, show how PyARPES fulfills current data analysis needs for ARPES analysis, and discuss prospects for the future of analysis techniques enabled by PyARPES.

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