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Model-Independent ML Search for New Physics
Searches for physics beyond the Standard Model often test models that are limited in scope or that are unsuited to detect unexpected discrepancies. However, recently many model-independent search algorithms have been suggested instead. These methods train neural networks (NN) under varying levels of...
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| Lenguaje: | eng |
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2021
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| Acceso en línea: | http://cds.cern.ch/record/2778886 |