Dataset: Machine learning-based virtual diagnostics of dielectric laser acceleration
| dc.contributor.author | Egenolf, Thilo | |
| dc.contributor.author | Boine-Frankenheim, Oliver | |
| dc.date.accessioned | 2026-03-30T12:50:54Z | |
| dc.date.created | 2026 | |
| dc.date.issued | 2026-03-30 | |
| dc.description | Dataset for the manuscript "Machine learning-based virtual diagnostics of dielectric laser acceleration" The dataset to train the neural network proposed in the manuscript is created by using the tracking code DLAtrack6D [Niedermayer et al., PRAB 20, 111302, 2017] (code is available upon request) and randomly split into training, validation and test set (75% - 15% - 10%). The files training_data_summar.txt and training_data_spectra.txt contain the simulation parameters and the binned spectra (first line: energy bins in eV), respectively. A selection of spectra, also plotted in the manuscript, is given in the files "plot_spectrum_{thetapft}_{arg(e1)}.txt. | |
| dc.identifier.uri | https://tudatalib.ulb.tu-darmstadt.de/handle/tudatalib/5083 | |
| dc.identifier.uri | https://doi.org/10.48328/tudatalib-2183 | |
| dc.language.iso | en | |
| dc.rights.license | CC-BY-4.0 (https://creativecommons.org/licenses/by/4.0) | |
| dc.subject | Neural Network | |
| dc.subject | Dielectric Laser Acceleration | |
| dc.subject | Beam Diagnostics | |
| dc.subject.classification | 3.24-01 | |
| dc.subject.ddc | 530 | |
| dc.title | Dataset: Machine learning-based virtual diagnostics of dielectric laser acceleration | |
| dc.type | Dataset | |
| person.identifier.orcid | 0000-0001-6220-3928 | |
| person.identifier.orcid | 0000-0002-3225-078X | |
| tuda.agreements | true | |
| tuda.project | Bund/BMBF | 05K22RDC | DLA-PSD | |
| tuda.unit | TUDa |
Files
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| Name | Description | Size | Format | |
|---|---|---|---|---|
| plot_spectrum_35_0.txt | 4.36 KB | Plain Text | ||
| plot_spectrum_40_0.txt | 4.38 KB | Plain Text | ||
| plot_spectrum_43_0.txt | 4.41 KB | Plain Text | ||
| plot_spectrum_45_0.5pi.txt | 4.44 KB | Plain Text | ||
| plot_spectrum_45_0.txt | 4.43 KB | Plain Text | ||
| plot_spectrum_45_pi.txt | 4.42 KB | Plain Text | ||
| training_data_spectra.txt | 21.25 MB | Plain Text | ||
| training_data_summary.txt | 3.19 MB | Plain Text |