Unbinning global LHC analyses
Abstract
Neural simulation-based inference has been shown to outperform traditional, histogram-based inference in numerous phenomenological and experimental studies at the LHC. So far, these analyses have focused on individual processes. We study the combination of four different di-boson processes in terms of the Standard Model Effective Field Theory. Our results demonstrate how neural simulation-based inference also wins over traditional methods for more global LHC analyses.
Fields of Study & Subjects
Particle physics theoretical and experimental studies
Superconducting Materials and Applications
Distributed and Parallel Computing Systems
Publication details
- Journal / source
- SciPost Physics
- Publisher
- Stichting SciPost
- Volume
- 21
- Issue
- 3
- Publication date
- 9 September 2026
- Language
- EN