Scalable multicomponent spectral analysis for high-throughput data annotation

1 code implementation • 10 Feb 2021 • Rui Patrick Xian, Ralph Ernstorfer, Philipp Michael Pelz

Orchestrating parametric fitting of multicomponent spectra at scale is an essential yet underappreciated task in high-throughput quantification of materials and chemical composition.

Materials Science Data Analysis, Statistics and Probability

Ultrafast lattice dynamics and electron-phonon coupling in platinum extracted with a global fitting approach for time-resolved polycrystalline diffraction data

no code implementations • 18 Dec 2020 • Daniela Zahn, Hélène Seiler, Yoav William Windsor, Ralph Ernstorfer

We apply this approach to platinum, an important component of novel photocatalytic and spintronic applications, for which a large variation of literature values exists for the electron-phonon coupling parameter $G_\mathrm{ep}$.

Materials Science

A machine learning route between band mapping and band structure

1 code implementation • 20 May 2020 • Rui Patrick Xian, Vincent Stimper, Marios Zacharias, Shuo Dong, Maciej Dendzik, Samuel Beaulieu, Bernhard Schölkopf, Martin Wolf, Laurenz Rettig, Christian Carbogno, Stefan Bauer, Ralph Ernstorfer

Electronic band structure (BS) and crystal structure are the two complementary identifiers of solid state materials.

Data Analysis, Statistics and Probability Materials Science Computational Physics

An open-source, distributed workflow for band mapping data in multidimensional photoemission spectroscopy

no code implementations • 17 Sep 2019 • Rui Patrick Xian, Yves Acremann, Steinn Ymir Agustsson, Maciej Dendzik, Kevin Bühlmann, Davide Curcio, Dmytro Kutnyakhov, Frederico Pressacco, Michael Heber, Shuo Dong, Jure Demsar, Wilfried Wurth, Philip Hofmann, Martin Wolf, Laurenz Rettig, Ralph Ernstorfer

Characterization of the electronic band structure of solid state materials is routinely performed using photoemission spectroscopy.

Data Analysis, Statistics and Probability Materials Science

Multidimensional Contrast Limited Adaptive Histogram Equalization

1 code implementation • 26 Jun 2019 • Vincent Stimper, Stefan Bauer, Ralph Ernstorfer, Bernhard Schölkopf, R. Patrick Xian

Contrast enhancement is an important preprocessing technique for improving the performance of downstream tasks in image processing and computer vision.