Machine Learning at the Belle II Experiment : The Full Event Interpretation and Its Validation on Belle Data : Doctoral thesis accepted by the Karlsruhe Institute of Technology, Karlsruhe, Germany / Thomas Keck
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| Autore: |
Keck, Thomas
|
| Titolo: |
Machine Learning at the Belle II Experiment : The Full Event Interpretation and Its Validation on Belle Data : Doctoral thesis accepted by the Karlsruhe Institute of Technology, Karlsruhe, Germany / Thomas Keck
|
| Pubblicazione: | Cham, : Springer, 2018 |
| Titolo uniforme: | Machine Learning at the Belle II Experiment |
| Descrizione fisica: | xi, 174 p. : ill. ; 24 cm |
| Soggetto topico: | 68Txx - Artificial intelligence [MSC 2020] |
| 81V35 - Nuclear physics [MSC 2020] | |
| Soggetto non controllato: | B to tau nu |
| Belle II | |
| Belle to Belle II Data Conversion | |
| Data-driven science, modeling and theory building | |
| Exclusive Tagging | |
| FastBDT | |
| FastFit | |
| Full Event Interpretation | |
| Hadronic Tagging | |
| Machine Learning at Belle II | |
| Semileptonic Tagging | |
| Titolo autorizzato: | Machine Learning at the Belle II Experiment |
| Formato: | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | VAN00211408 |
| Lo trovi qui: | Univ. Vanvitelli |
| Localizzazioni e accesso elettronico | http://doi.org/10.1007/978-3-319-98249-6 |
| Opac: | Controlla la disponibilità qui |
Serie:
Springer theses : recognizing outstanding Ph.D. research Berlin . -Springer , 2010-