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T: Fachverband Teilchenphysik
T 34: Data, AI, Computing, Electronics IV
T 34.2: Vortrag
Dienstag, 17. März 2026, 16:30–16:45, KH 02.014
MC-Run: Monte Carlo Workflows for Precision Phenomenology — Maximilian Horzela1 and •Cedric Verstege2 — 1Georg-August-Universität Göttingen, Germany — 2Karlsruhe Institute of Technology, Germany
Reliable Monte Carlo (MC) predictions are a key ingredient for precision phenomenology in high-energy physics, in particular for the derivation of non-perturbative and electroweak correction factors. We present MC-Run, a lightweight framework that enables reproducible end-to-end MC studies, from event generation to Rivet-based analyses and further processing.
Originally developed for the determination of non-perturbative corrections, MC-Run has been successfully applied in phenomenological analyses and HEP publications, supporting large-scale production campaigns at the level of O(100k) CPU hours. More recently, the framework has been extended to studies of electroweak corrections and can be readily adapted to different physics processes and observables.
This talk will give an overview of MC-Run, its modular workflow design, built-in support for grid computing, how to extend it to other MC generators and adapt it for further physics analyses.
Keywords: MC Generator; Workflow; Rivet; Phenomenology; Computing