Bereiche | Tage | Auswahl | Suche | Aktualisierungen | Downloads | Hilfe
T: Fachverband Teilchenphysik
T 55: Monte Carlo, Partonschauer, QCD (Theorie)
T 55.7: Vortrag
Dienstag, 1. März 2016, 18:15–18:30, VMP8 SR 105
NLO event generation with the (MC)3 sampling algorithm — •Rene Poncelet1, Steffen Schumann2, and Kevin Kröninger3 — 1Institut für Theoretische Teilchenphysik und Kosmologie, RWTH Aachen — 2II. Physikalisches Institut, Universität Göttingen — 3Experimentelle Physik IV, TU Dortmund
For precise predictions in high energy physics perturbative calculations within numerical approaches like Monte Carlo event generation are the state of the art. The sampling from complicated phase spaces arising in higher order calculations need to be handled. Multi-Channel Importance Sampling methods are the commonly used algorithms for phase space sampling, but suffer from inefficiencies for complicated target functions. The new sampling method Multi-Channel Markov Chain Monte Carlo (MC)3 is a promising alternative regarding sampling efficiency. In this talk, the generalisation of the (MC)3 implementation in Sherpa to next-to-leading order event generation as well as the validity and performance measurement of the (MC)3 sampling algorithm is discussed. Also, the study on the influence of parameters steering the sampling with (MC)3 will be outlined. It will be shown that (MC)3 can produce samples of equally weighted events with statistical properties comparable to unweighted importance sampling in only a fraction of the time.