Electron dynamics in a three-dimensional Brillouin zone analysed by machine learning

Fuente: arXiv
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Autori principali: Majchrzak, Paulina, Sanders, Charlotte, Zhang, Yu, Kuibarov, Andrii, Suvorov, Oleksandr, Springate, Emma, Kovalchuk, Iryna, Aswartham, Saicharan, Shipunov, Grigory, Büchner, Bernd, Yaresko, Alexander, Borisenko, Sergey, Hofmann, Philip
Natura: Preprint
Pubblicazione: 2024
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author Majchrzak, Paulina
Sanders, Charlotte
Zhang, Yu
Kuibarov, Andrii
Suvorov, Oleksandr
Springate, Emma
Kovalchuk, Iryna
Aswartham, Saicharan
Shipunov, Grigory
Büchner, Bernd
Yaresko, Alexander
Borisenko, Sergey
Hofmann, Philip
author_facet Majchrzak, Paulina
Sanders, Charlotte
Zhang, Yu
Kuibarov, Andrii
Suvorov, Oleksandr
Springate, Emma
Kovalchuk, Iryna
Aswartham, Saicharan
Shipunov, Grigory
Büchner, Bernd
Yaresko, Alexander
Borisenko, Sergey
Hofmann, Philip
contents The electron dynamics in the unoccupied states of the Weyl semimetal PtBi$_2$ is studied by time- and angle-resolved photoemission spectroscopy (TR-ARPES). The measurement's result is the photoemission intensity $I$ as a function of at least four parameters: the emission angle and kinetic energy of the photoelectrons, the time delay between pump and probe laser pulses, and the probe laser photon energy that needs to be varied to access the full three-dimensional Brillouin zone of the material. The TR-ARPES results are reported in an accompanying paper. Here we focus on the technique of using $k$-means, an unsupervised machine learning technique, in order to discover trends in the four-dimensional data sets. We study how to compare the electron dynamics across the entire data set and how to reveal subtle variations between different data sets collected in the vicinity of the bulk Weyl points.
format Preprint
id arxiv_https___arxiv_org_abs_2406_10551
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Electron dynamics in a three-dimensional Brillouin zone analysed by machine learning
Majchrzak, Paulina
Sanders, Charlotte
Zhang, Yu
Kuibarov, Andrii
Suvorov, Oleksandr
Springate, Emma
Kovalchuk, Iryna
Aswartham, Saicharan
Shipunov, Grigory
Büchner, Bernd
Yaresko, Alexander
Borisenko, Sergey
Hofmann, Philip
Strongly Correlated Electrons
The electron dynamics in the unoccupied states of the Weyl semimetal PtBi$_2$ is studied by time- and angle-resolved photoemission spectroscopy (TR-ARPES). The measurement's result is the photoemission intensity $I$ as a function of at least four parameters: the emission angle and kinetic energy of the photoelectrons, the time delay between pump and probe laser pulses, and the probe laser photon energy that needs to be varied to access the full three-dimensional Brillouin zone of the material. The TR-ARPES results are reported in an accompanying paper. Here we focus on the technique of using $k$-means, an unsupervised machine learning technique, in order to discover trends in the four-dimensional data sets. We study how to compare the electron dynamics across the entire data set and how to reveal subtle variations between different data sets collected in the vicinity of the bulk Weyl points.
title Electron dynamics in a three-dimensional Brillouin zone analysed by machine learning
topic Strongly Correlated Electrons
url https://arxiv.org/abs/2406.10551