3 papers
hep-ph2025
Accelerating multijet-merged event generation with neural network matrix element surrogates
Tim Herrmann, Timo JanÃen, Mathis Schenker +2
The efficient simulation of multijet final states presents a serious computational task for analyses of LHC data and will be even more so at the HL-LHC. We here discuss means to ac…
hep-ph2025
Sampling NNLO QCD phase space with normalizing flows
Timo JanÃen, Rene Poncelet, Steffen Schumann
We showcase the application of neural importance sampling for the evaluation of NNLO QCD scattering cross sections. We consider Normalizing Flows in the form of discrete Coupling L…
hep-ph2024
Phase space sampling with Markov Chain Monte Carlo methods
Salvatore La Cagnina, Cornelius Grunwald, Timo JanÃen +2
We present a study on using Markov Chain Monte Carlo (MCMC) techniques to explore the high-dimensional and multi-modal phase space of scattering events at high-energy particle coll…