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Improving $t\overline{t}H$ Detection in ATLAS Experiment Using Machine Learning Techniques
Collision data are recorded at the rate of $40MHz$ in the Large Hadron Collider (LHC) with over $60 TB$ of data created every second, which contributes to over $10 GB$ of data being permanently stored in various data centers after initial triggering. Analysing this huge amount of data is challenging...
| Autores principales: | , , |
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| Lenguaje: | eng |
| Publicado: |
2022
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| Materias: | |
| Acceso en línea: | http://cds.cern.ch/record/2824493 |