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Efficient Search for New Physics using Active Learning in the ATLAS Experiment with RECAST
Searches for new physics and their reinterpretations constrain the parameter space of models with exclusion limits in typically no more than 2 dimensions. However, the relevant theory parameter space often extends into higher dimensions. Limited computing resources for signal process simulations imp...
| Autores principales: | , , , , , |
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| Lenguaje: | eng |
| Publicado: |
2022
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| Materias: | |
| Acceso en línea: | http://cds.cern.ch/record/2844803 |