3 papers
hep-ph2026
Agentic Re-Casting using Agentic Re-Simulations
Sascha Diefenbacher, Tilman Plehn, Daniel Schiller +1
Analysis re-casting at the LHC is highly standardized and nevertheless requires resources, time, and physics input. Building on the new MadAgents.v3, we show how a global SFitter a…
hep-ph2026
MadAgents
Tilman Plehn, Daniel Schiller, Nikita Schmal
We uncover an effective and communicative set of agents working with MadGraph. Agentic installation, learning-by-doing training, and user support provide easy access to state-of-th…
hep-ph2025
Unbinning global LHC analyses
Henning Bahl, Tilman Plehn, Nikita Schmal
Neural simulation-based inference has been shown to outperform traditional, histogram-based inference in numerous phenomenological and experimental studies at the LHC. So far, thes…