Unveiling quasiparticle dynamics of topological insulators through Bayesian modelling

Satoru Tokuda, Seigo Souma, Kouji Segawa, Takashi Takahashi, Yoichi Ando, Takeshi Nakanishi, Takafumi Sato

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)


Quasiparticle - a key concept to describe interacting particles - characterizes electron-electron interaction in metals (Fermi liquid) and electron pairing in superconductors. While this concept essentially relies on the simplification of hard-to-solve many-body problem into one-particle picture and residual effects, a difficulty in disentangling many-body effects from experimental quasiparticle signature sometimes hinders unveiling intrinsic low-energy dynamics, as highlighted by the fierce controversy on the origin of Dirac-band anomaly in graphene and dispersion kink in high-temperature superconductors. Here, we propose an approach to solve this fundamental problem - the Bayesian modelling of quasiparticles. We have chosen a topological insulator TlBi(S,Se)2 as a model system to formulate an inverse problem of quasiparticle spectra with semiparametric Bayesian analysis, and successfully extracted one-particle and many-body characteristics, i.e. the intrinsic energy gap and unusual lifetime in Dirac-quasiparticle bands. Our approach is widely applicable to clarify the quasiparticle dynamics of quantum materials.

Original languageEnglish
Article number170
JournalCommunications Physics
Issue number1
Publication statusPublished - 2021 Dec


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