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<h1 id="interactive-demos">Interactive Demos</h1>
<p>Each of the following demos are provided as Jupyter notebooks that are available on GitHub. <a href="https://mybinder.org">Binder</a> provides an awesome platform for trying out these notebooks without installing anything whatsoever.</p>
<p>For more computationally intensive tasks, such as training EFNs/PFNs or other neural networks, check out the <a href="../examples">Examples</a>.</p>
<h2 id="energyflow-demo">EnergyFlow Demo</h2>
<p>The EnergyFlow Demo provides an introduction to using EnergyFlow to compute Energy Flow Polynomials.</p>
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<li><a href="https://github.com/pkomiske/EnergyFlow/blob/master/demos/EnergyFlow%20Demo.ipynb">View or download</a> the notebook from GitHub</li>
<li><a href="https://mybinder.org/v2/gh/pkomiske/EnergyFlow/master?filepath=demos/EnergyFlow%20Demo.ipynb"><img alt="Binder" src="https://mybinder.org/badge_logo.svg" /></a></li>
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<h2 id="emd-demo">EMD Demo</h2>
<p>The EMD Demo provides an introduction to using EnergyFlow for computing the Energy Mover's Distance (EMD) between jets.</p>
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<li><a href="https://github.com/pkomiske/EnergyFlow/blob/master/demos/EMD%20Demo.ipynb">View or download</a> the notebook from GitHub</li>
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<h2 id="mod-jet-demo">MOD Jet Demo</h2>
<p>The MOD Jet Demo provides an introduction to using CMS Open Data in the MOD HDF5 format via EnergyFlow. Jets from the <a href="http://doi.org/10.7483/OPENDATA.CMS.UP77.P6PQ">CMS 2011A Jet Primary Dataset</a> have been processed into this easy-to-use format and are <a href="https://doi.org/10.5281/zenodo.3340205">available on Zenodo</a> along with corresponding simulated datasets.</p>
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<li><a href="https://github.com/pkomiske/EnergyFlow/blob/master/demos/MOD%20Jet%20Demo.ipynb">View or download</a> the notebook from GitHub</li>
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<h2 id="efm-demo">EFM Demo</h2>
<p>The EFM Demo provides an introduction to Energy Flow Moments to compute EFPs and verify linear relations among them.</p>
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<li><a href="https://github.com/pkomiske/EnergyFlow/blob/master/demos/EFM%20Demo.ipynb">View or download</a> the notebook from GitHub</li>
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<h2 id="counting-leafless-multigaphs-with-nauty">Counting Leafless Multigaphs with Nauty</h2>
<p>Though not demonstrating features of the EnergyFlow library, this script uses the graph program <a href="http://pallini.di.uniroma1.it/">Nauty</a> to count leafless multigraphs, a task which relates to EFMs as described in <a href="https://arxiv.org/abs/1911.04491">1911.04491</a>. To run this script, first <a href="http://pallini.di.uniroma1.it/nauty26r12.tar.gz">download Nauty</a> and compile it. Then point the Python script to the Nauty installation directory. Note that running with <code>-d 16</code> has been known to take half a month.</p>
<ul>
<li><a href="https://github.com/pkomiske/EnergyFlow/blob/master/demos/count_leafless_multigraphs_nauty.py">View or download</a> the script from GitHub</li>
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