3 papers
stat.CO2025
MCBench: A Benchmark Suite for Monte Carlo Sampling Algorithms
Zeyu Ding, Cornelius Grunwald, Katja Ickstadt +2
In this paper, we present MCBench, a benchmark suite designed to assess the quality of Monte Carlo (MC) samples. The benchmark suite enables quantitative comparisons of samples by…
hep-ph2024
Phase space sampling with Markov Chain Monte Carlo methods
Salvatore La Cagnina, Cornelius Grunwald, Timo Janßen +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…
hep-ph2023
Synergies of Drell-Yan, beauty, top, and Z observables in MFV-SMEFT
Cornelius Grunwald, Gudrun Hiller, Kevin Kröninger +1
The Standard Model Effective Field Theory (SMEFT) is a powerful tool to search for new physics in a model-independent way. We explore the synergies arising from different types of…