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X-ray diffraction data set for the training of noise filtering algorithms. The data set contains groups of low- and high-counting statistics pairs. The sampling times are mostly 1 (20) seconds for low (high) counting data. Three files in HDF5 format are provided, corresponding to a training, validation and test data set. Next to the raw data, sampling times and monitor values are included. The test data set additionally contains denoised low-count frames obtained from a pre-trained neural network. The data has been recorded on a La1.88Sr0.12CuO4 single crystal at the beamline P21.1 at the PETRA III storage ring at DESY in Hamburg, Germany. The scattering intensities were recorded using Dectris Pilatus 100K CdTe detector. The diffractometer was operated with 100 keV photons and the sample was cooled to T ~ 30 K. The data contains different signals such as weak 2D charge density wave order, fundamental Bragg peaks, powder lines, spurions and dead pixels.
Additional funding: ONR (N00014-20-1-2352) European Union's Horizon 2020 research and innovation program (ERC-StG-Neupoert-757867-PARATOP) EU framework program for research and innovation Horizon 2020 CALIPSOplus (730872)
Denoising, Machine learning, X-ray diffraction
Denoising, Machine learning, X-ray diffraction
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