Unsupervised outlier detection in heavy-ion collisions
We present different methods of unsupervised learning which can be used for outlier detection in high energy nuclear collisions. This method is of particular interest for heavy ion collisions where a direct comparison of experimental data to model simulations is often ambiguous and it is not easy to...
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| Veröffentlicht in: | Physica scripta 2021-06, Vol.96 (6), p.64003 |
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| Hauptverfasser: | , , , |
| Format: | Artikel |
| Sprache: | eng |
| Online-Zugang: | Volltext |
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