Published August 15, 2018
| Version v1
Dataset
Open
Figure reproduction for "Accelerating small angle scattering experiments on anisotropic samples using kernel density estimation"
Description
These datasets and a Jupyter notebook reproduce figures in a publication by Saito et al. The notebook also serves as a demo for kernel density estimation (smoothing) of 2D data using Python. Details are described in the notebook.
Notes
This work is supported by the Elements Strategy Initiative Center for Magnetic Materials (ESICMM) under the outsourcing project of the Ministry of Education, Culture, Sports, Science, Technology (MEXT) and the Magnetic Materials for High- Efficient Motors (MagHEM) project commissioned by the New Energy and Industrial Technology Development Organization (NEDO). K.S. has received funding from the European Union's Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No. 701647. H.H. is partly supported by JST CREST grant number JPMJCR1761.
Files
data.zip
Files
(8.9 MB)
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