Making the most of LHC data - Bayesian neural networks and SMEFT global analysis
Gespeichert in:
| 1. Verfasser: | |
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| Dokumenttyp: | Buch/Monographie Hochschulschrift |
| Sprache: | Englisch |
| Veröffentlicht: |
Heidelberg
05 Dez. 2022
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| DOI: | 10.11588/heidok.00032414 |
| Schlagworte: | |
| Online-Zugang: | Resolving-System, kostenfrei: https://nbn-resolving.de/urn:nbn:de:bsz:16-heidok-324143 Resolving-System, kostenfrei: http://dx.doi.org/10.11588/heidok.00032414 Verlag, kostenfrei, Volltext: http://www.ub.uni-heidelberg.de/archiv/32414 Resolving-System, kostenfrei: https://nbn-resolving.org/urn:nbn:de:bsz:16-heidok-324143 Langzeitarchivierung Nationalbibliothek, kostenfrei: https://d-nb.info/1274730333/34 
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| Verfasserangaben: | put forward by Michel Ansgar Luchmann ; referees: Prof. Dr. Tilman Plehn [und eine weitere Gutachterin] |
MARC
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