Work

Configuration and benchmarking of $$\textrm{e}^+\textrm{e}^-$$ processes with k4GeneratorsConfig

Year: 2026

Type: article

Abstract: The next generation of electron–positron colliders will require unprecedented precision in both theory and experiment. Sophisticated software frameworks are essential to evaluate detector concepts, optimize designs, and simulating physical processes. In this context, Monte Carlo (MC) event generators play a central role, enabling realistic simulations of Standard Model processes and providing the basis for physics studies. However, technical consistency across different generators remains critical, particularly in domains where agreement is expected. To address this need, we present , a Python-based package that automates the benchmarking process for MC generators. The tool translates universal physics inputs into generator-specific configurations, ensuring consistency, reproducibility, and reduced human error. Its modular design allows for straightforward integration of additional generators, supports batch processing, and provides compatibility with the Key4hep software stack.

Source: The European Physical Journal C

DOI: 10.1140/epjc/s10052-026-16049-5

Authors: Alan Price, Dirk Zerwas

Institutions: Jagiellonian University, Centre National de la Recherche Scientifique, Deutsches Elektronen-Synchrotron DESY, Institut National de Physique Nucléaire et de Physique des Particules, CNRS Helmholtz Dark Matter Lab

Language: English

Topic: Particle physics theoretical and experimental studies

Subfield: Nuclear and High Energy Physics

Field: Physics and Astronomy

Domain: Physical Sciences

Open Access status: diamond