4 papers
HS3: A Descriptive, Interoperable Serialization Standard for Statistical Models in High-Energy Physics
Carsten Burgard, Oliver Schulz, Giordon Stark +3
Statistical models in high-energy physics formally encode the relationship between observed data, physics parameters of interest, and experimental and theoretical uncertainties. Li…
Beyond Universality: Probing Lepton Flavor in the SMEFT
Cornelius Grunwald, Gudrun Hiller, Kevin Kröninger +1
We present a global analysis of lepton-flavor-specific operators in the Standard Model Effective Field Theory (SMEFT), combining data from collider and flavor physics experiments.…
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…
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…