X-ray diffraction dataset for experimental noise filtering
Authors/Creators
- 1. University of Zurich, Switzerland
- 2. DESY, Hamburg
- 3. Technical university of Denmark
- 4. Hokkaido university, Japan
Description
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. Each data group contains sequences of 41 consecutive frames, corresponding to a scan along the reciprocal h-direction. 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.
Notes
Files
Files
(3.2 GB)
| Name | Size | Download all |
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md5:cd3893c9ba2c81ff22fc7aea35d857b8
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1.7 GB | Download |
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md5:5006c66c8d9aef0d45fa390be3019279
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1.2 GB | Download |
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md5:b5a7fb207fca20aad5f66116b4324250
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302.3 MB | Download |
Additional details
Related works
- Is cited by
- Preprint: 10.48550/arXiv.2209.09247 (DOI)
Funding
- Swiss National Science Foundation
- Controlling Elementary Excitations in Correlated Systems PP00P2_176866
- Swiss National Science Foundation
- Interdisciplinary Approach to Unconventional Superconductivity 200021_188564