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Merge pull request #100 from kif/UM2022
Tutorial for UM2022
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pyFAI/SSX.ipynb

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pyFAI/pyFAI.ipynb

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"source": [
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"# Data reduction for scattering experiements\n",
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"\n",
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"## Tutorial T7 of the ESRF users meeting"
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"## Tutorial T8B of the ESRF users meeting, 7 Feb 2022"
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]
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{
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"\n",
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"1. Usage of Jupyter notebooks: the data-analysis service for treating data at the ESRF\n",
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"2. Quick overview of pyFAI (presentation)\n",
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"3. Basic usage of pyFAI for azimuthal integration\n",
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"4. Validation of the uncertainty propagation\n",
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"5. Image filtering: Bragg peaks separation\n",
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"3. Azimuthal averaging\n",
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"4. Background from outlier rejection\n",
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"5. Sparsification of MX data\n",
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"5. Peak-finding for SSX\n",
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"6. Conclusions\n",
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"\n",
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"All the practical sessions will occur in the `jupyter-slurm` environment."
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"metadata": {
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"celltoolbar": "Slideshow",
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"kernelspec": {
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"display_name": "Python 3",
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"display_name": "Python 3 (ipykernel)",
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"language": "python",
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"name": "python3"
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.9.1+"
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"version": "3.9.2"
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}
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},
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"nbformat": 4,

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