Search for tt̄H Production in the H → bb̅ Decay Channel : Using Deep Learning Techniques with the CMS Experiment : Doctoral Thesis accepted by RWTH Aachen University, Aachen, Germany / Marcel Rieger
(Visualizza in formato marc)
(Visualizza in BIBFRAME)
| Autore: |
Rieger, Marcel
|
| Titolo: |
Search for tt̄H Production in the H → bb̅ Decay Channel : Using Deep Learning Techniques with the CMS Experiment : Doctoral Thesis accepted by RWTH Aachen University, Aachen, Germany / Marcel Rieger
|
| Pubblicazione: | Cham, : Springer, 2021 |
| Descrizione fisica: | xiii, 217 p. : ill. ; 24 cm |
| Soggetto topico: | 81Txx - Quantum field theory; related classical field theories [MSC 2020] |
| 81V35 - Nuclear physics [MSC 2020] | |
| Soggetto non controllato: | Bb Channel |
| CMS Experiment | |
| Higgs Boson | |
| Machine learning | |
| Multiclass Classification | |
| Multiclassification | |
| Neural networks | |
| TTH Production | |
| Tth Search | |
| Tthbb Search | |
| Titolo autorizzato: | Search for tt̄H Production in the H → bb̅ Decay Channel |
| Formato: | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | VAN00282798 |
| Lo trovi qui: | Univ. Vanvitelli |
| Localizzazioni e accesso elettronico | http://doi.org/10.1007/978-3-030-65380-4 |
| Opac: | Controlla la disponibilità qui |
Serie:
Springer theses : recognizing outstanding Ph.D. research Berlin . -Springer , 2010-