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Efficient Search for New Physics Using Active Learning in the ATLAS Experiment
Searches for new physics set exclusion limits in parameter spaces of typically up to 2 dimensions. However, the relevant theory parameter space is usually of a higher dimension but only a subspace is covered due to the computing time requirements of signal process simulations. An Active Learning app...
| Autores principales: | , , , , , , |
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| Lenguaje: | eng |
| Publicado: |
2023
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| Materias: | |
| Acceso en línea: | http://cds.cern.ch/record/2871281 |
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