- AutorIn
- Tanju Gleisberg
- Titel
- Automating methods to improve precision in Monte-Carlo event generation for particle colliders
- Zitierfähige Url:
- https://nbn-resolving.org/urn:nbn:de:bsz:14-ds-1208999423010-50333
- Übersetzter Titel (DE)
- Automatisierung von Methoden zur Verbesserung der Praezision bei der Monte-Carlo Eventgeneration fuer Teilchenbeschleunigerexperimente
- Datum der Einreichung
- 09.10.2007
- Datum der Verteidigung
- 17.03.2008
- Abstract (EN)
- This thesis concerns with numerical methods for a theoretical description of high energy particle scattering experiments. It focuses on fixed order perturbative calculations, i.e. on matrix elements and scattering cross sections at leading and next-to-leading order. For the leading order a number of algorithms for the matrix element generation and the numeric integration over the phase space are studied and implemented in a computer code, which allows to push the current limits on the complexity of the final state and the precision. For next-to-leading order calculations necessary steps towards a fully automated treatment are performed. A subtraction method that allows a process independent regularization of the divergent virtual and real corrections is implemented, and a new approach for a semi-numerically evaluation of one-loop amplitudes is investigated.
- Freie Schlagwörter (DE)
- theoretische Teilchenphysik, Eventsimulation, Matrixelementgenerierung, Monte-Carlo
- Freie Schlagwörter (EN)
- theoretical particle physics, event simulation, matrix element generation, Monte-Carlo
- Klassifikation (DDC)
- 530
- Klassifikation (RVK)
- UN 6100
- GutachterIn
- Prof. Dr. Michael Kobel
- Dr. Frank Krauss
- Prof. Dr. Michael H. Seymour
- BetreuerIn
- Prof. Dr. Michael Kobel
- Verlag
- Technische Universität Dresden, Dresden
- URN Qucosa
- urn:nbn:de:bsz:14-ds-1208999423010-50333
- Veröffentlichungsdatum Qucosa
- 24.04.2008
- Dokumenttyp
- Dissertation
- Sprache des Dokumentes
- Englisch
- Lizenz / Rechtehinweis