Dijet Resonance Search with Weak Supervision Using √s = 13 TeV pp Collisions in the ATLAS Detector
This Letter describes a search for narrowly resonant new physics using a machine-learning anomaly detection procedure that does not rely on signal simulations for developing the analysis selection. Weakly supervised learning is used to train classifiers directly on data to enhance potential signals....
Guardado en:
| Autores principales: | Alonso, Francisco, Arduh, Francisco Anuar, Dova, María Teresa, Hoya, Joaquín, Monticelli, Fernando Gabriel, Orellana, Gonzalo Enrique, Wahlberg, Hernán Pablo, The ATLAS Collaboration |
|---|---|
| Formato: | Articulo |
| Lenguaje: | Inglés |
| Publicado: |
2020
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| Materias: | |
| Acceso en línea: | http://sedici.unlp.edu.ar/handle/10915/133816 |
| Aporte de: |
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