Data for "Ultrafast formation of a large dynamic magnetic soliton"
Authors/Creators
-
Wojewoda, Ondřej
(Contact person)1
- Mayr, Sina2
-
Gross, Miela
-
Klíma, Jan
-
Panda, Jaganandha3
-
Krčma, Jakub1
-
Holobrádek, Jakub1
-
Davídková, Kristýna4
-
Chumak, Andrii4, 5
- Gerasimchuk, Igor6
-
Verba, Roman7
-
Pirro, Philipp8
-
Weigand, Markus9
-
Finizio, Simone10
- Lindner, Morris11
-
Dubs, Carsten12
-
Wang, Qi13
-
Wintz, Sebastian9
-
Ross, Caroline
-
Urbánek, Michal1
-
1.
Brno University of Technology
- 2. Paul Scherrer Institut, Villigen, Switzerland
-
3.
Central European Institute of Technology
-
4.
University of Vienna
-
5.
Wolfgang Pauli Institute
- 6. V. G. Baryakhtar Institute of Magnetism of the NAS of Ukraine
-
7.
Institute of Magnetism
- 8. Rheinland-Pfälzische Technische Universität Kaiserslautern-Landau: Landau, Rheinland-Pfalz, DE
-
9.
Helmholtz-Zentrum Berlin für Materialien und Energie
- 10. Paul Scherrer Institut
- 11. INNOVENT e.V. Technologieentwicklung, Jena, Germany
-
12.
Innovent
-
13.
Huazhong University of Science and Technology
Description
Open data archive
=================
Paper title:
Ultrafast formation of a large dynamic magnetic soliton
This archive contains source-data tables, figure files, selected raw data,
micromagnetic simulation files, and analysis utilities associated with the
paper. The data are organized primarily by the figure in which they are used.
Archive status
--------------
This is a working pre-upload version of the archive. The items listed under
"Pre-upload checklist" should be resolved before the public Zenodo deposit.
Directory guide
---------------
Fig1/
Source-data tables and the PDF for manuscript Fig. 1. The schematic PDF was
prepared in the free and open-source vector graphics editor Inkscape:
https://inkscape.org/
Fig2/
Working folder currently containing five source-data tables and a PDF for
the Ga:YIG spin-wave-emission figure. See the figure-numbering item in the
pre-upload checklist.
Fig3/
Source-data tables and the PDF for manuscript Fig. 3. The RawData/
subdirectory contains the original HDF5 measurement files and the
M9-M6-Combined.py analysis script used for the time-resolved BLS data.
Fig4/
Working folder currently containing two source-data tables for the Bi:YIG
frequency-sweep figure. See the figure-numbering item in the pre-upload
checklist.
ExtendedDataFigs/
Source-data tables and figure files for Extended Data Figs. 1-7:
ExDatFig1/ Bi:YIG sample characterization
ExDatFig2/ Ga:YIG sample characterization
ExDatFig3/ Linear dispersion relation and group velocity
ExDatFig4/ Analytical-model profiles
ExDatFig5/ Power- and frequency-dependent BLS intensity
ExDatFig6/ Phase evolution during soliton formation
ExDatFig7/ Time-resolved STXM data on Ga:YIG
MuMax3Codes/
MuMax3 input scripts, analysis notebooks, and normalized antenna-field masks:
BiYIG-4096x128-f11p0GHz-AmpSweep.mx3
GaYIG-Amp_8mT-FieldSweep-DE.mx3
Analysis_BiYIG-4096x128-f11p0GHz-AmpSweep.ipynb
Analysis_GaYIG-Amp_8mT-FieldSweep-DE.ipynb
STR_wirewidth_0.5um-analytic.ovf
STR_wirewidth_2um-2025-12-11-analytic.ovf.ovf
PythonTools/
LoadData.py
Functions for reading MuMax3 OVF output files and loading single-component
snapshot series for analysis.
AntenaOVFcreatorAnalytical.py
Utility used to calculate normalized stripline antenna fields. The script
contains optional plotting and clipboard-export steps. See the dependency
limitation in the pre-upload checklist.
Data formats
------------
CSV
The figure source-data tables are comma-separated text files. Axes are
included either as columns or as the first row and first column of matrix
tables. Some files are currently encoded as Windows-1252; see the pre-upload
checklist.
HDF5
The raw time-resolved BLS measurement files for Fig. 3 are stored in
Fig3/RawData/. Run M9-M6-Combined.py from that directory so that its relative
file paths resolve correctly. The M9 measurement is shorter than the nominal
acquisition grid expected by the script. M9-M6-Combined.py reports this and
pads the missing tail with NaN values before analysis.
OVF
The antenna-field masks are OOMMF OVF vector-field files for use with MuMax3.
They contain three field components with units of tesla.
PDF and EPS
The rendered figure files are included for reference. Extended Data Fig. 4
is supplied as EPS because the analytical-model plot was generated as a
vector EPS figure.
Software requirements
---------------------
The Python analysis utilities use Python 3 and, depending on the workflow:
numpy
pandas
matplotlib
h5py
tqdm
plotly
pyperclip
jupyter
The micromagnetic input scripts require MuMax3:
https://mumax.github.io/
Files
Ultrafast-formation-of-a-large-dynamic-magnetic-soliton-v-1-0-0.zip
Files
(130.4 MB)
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