Unveiling quasiparticle dynamics of topological insulators through Bayesian modelling

Extracting quasiparticle dispersion from photoemission data is challenging and often results in confusion when investigating low-energy excitations. As a solution the authors demonstrate a technique, which applies Bayesian analysis to extract the quasiparticle dynamics of a topological insulator fro...

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Main Authors: Satoru Tokuda, Seigo Souma, Kouji Segawa, Takashi Takahashi, Yoichi Ando, Takeshi Nakanishi, Takafumi Sato
Format: Article
Language:English
Published: Nature Portfolio 2021-07-01
Series:Communications Physics
Online Access:https://doi.org/10.1038/s42005-021-00673-6
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author Satoru Tokuda
Seigo Souma
Kouji Segawa
Takashi Takahashi
Yoichi Ando
Takeshi Nakanishi
Takafumi Sato
author_facet Satoru Tokuda
Seigo Souma
Kouji Segawa
Takashi Takahashi
Yoichi Ando
Takeshi Nakanishi
Takafumi Sato
author_sort Satoru Tokuda
collection DOAJ
description Extracting quasiparticle dispersion from photoemission data is challenging and often results in confusion when investigating low-energy excitations. As a solution the authors demonstrate a technique, which applies Bayesian analysis to extract the quasiparticle dynamics of a topological insulator from angle resolved photoemission spectroscopy (ARPES) data, and could be applied to other quantum materials.
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spelling doaj.art-acf97d49a7b743479356b5b5cc7053012022-12-21T20:29:36ZengNature PortfolioCommunications Physics2399-36502021-07-01411810.1038/s42005-021-00673-6Unveiling quasiparticle dynamics of topological insulators through Bayesian modellingSatoru Tokuda0Seigo Souma1Kouji Segawa2Takashi Takahashi3Yoichi Ando4Takeshi Nakanishi5Takafumi Sato6Research Institute for Information Technology, Kyushu UniversityCenter for Spintronics Research Network, Tohoku UniversityDepartment of Physics, Kyoto Sangyo UniversityCenter for Spintronics Research Network, Tohoku UniversityInstitute of Physics II, University of CologneMathematics for Advanced Materials-OIL, AISTCenter for Spintronics Research Network, Tohoku UniversityExtracting quasiparticle dispersion from photoemission data is challenging and often results in confusion when investigating low-energy excitations. As a solution the authors demonstrate a technique, which applies Bayesian analysis to extract the quasiparticle dynamics of a topological insulator from angle resolved photoemission spectroscopy (ARPES) data, and could be applied to other quantum materials.https://doi.org/10.1038/s42005-021-00673-6
spellingShingle Satoru Tokuda
Seigo Souma
Kouji Segawa
Takashi Takahashi
Yoichi Ando
Takeshi Nakanishi
Takafumi Sato
Unveiling quasiparticle dynamics of topological insulators through Bayesian modelling
Communications Physics
title Unveiling quasiparticle dynamics of topological insulators through Bayesian modelling
title_full Unveiling quasiparticle dynamics of topological insulators through Bayesian modelling
title_fullStr Unveiling quasiparticle dynamics of topological insulators through Bayesian modelling
title_full_unstemmed Unveiling quasiparticle dynamics of topological insulators through Bayesian modelling
title_short Unveiling quasiparticle dynamics of topological insulators through Bayesian modelling
title_sort unveiling quasiparticle dynamics of topological insulators through bayesian modelling
url https://doi.org/10.1038/s42005-021-00673-6
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