2026-10-13T08:53:31Z https://www.scidb.cn/oai

10.57760/sciencedb.j00186.01107 2026-06-10T13:39:50Z

2026-06-10 Simulated MeV-UED diffraction image dataset for machine-learning-based multidimensional electron beam characterization doi:10.57760/sciencedb.j00186.01107 en This dataset contains the simulated ultrafast electron diffraction (UED) image data and the accompanying code used in the study "High-dimensional electron beam characterization via machine learning of diffraction images." The data support a ResNet-50-based deep-learning framework that reconstructs multiple electron-beam parameters directly from single-shot diffraction patterns of a polycrystalline aluminum reference foil. The dataset comprises two parts, generated from beam-dynamics simulations (ASTRA) combined with a kinematical polycrystalline scattering model, based on the MeV-UED platform at Huazhong University of Science and Technology: 1. Transverse set (horizon): 38,400 single-frame diffraction images from 400 beam configurations, with per-image labels for horizontal/vertical beam size, horizontal/vertical angular divergence, and energy spread. Parameter ranges: beam size 0.014-1.28 mm, angular divergence 0.005-3.34 mrad, energy spread 2.39-23.08 keV. 2. Longitudinal set: 3,555 time-resolved diffraction images, with per-image labels (train.csv + test.csv) for bunch length over the range 96-495 fs, and a per-bunch master table (labels.csv). Also included are the data-generation scripts, ASTRA input templates, and the training/evaluation code (Python, with English comments) needed to reproduce the results, organized so that each network finds its data under dataset/. Diffraction images are stored as PNG. Raw ASTRA outputs, intermediate files, and trained model weights are not included. Ultrafast electron diffraction; MeV-UED; Beam diagnostics; Deep learning; ResNet-50; Diffraction pattern; Beam size; Angular divergence; Energy spread; Bunch length; Noninvasive measurement Li jiapeng Fan kuanjun EMBARGO https://creativecommons.org/licenses/by/4.0/ dataset Science Data Bank