A standard convention for particle-level Monte Carlo event-variation weights

Bothmann, Enrico; Buckley, Andy; Gütschow, Christian; Prestel, Stefan; Schönherr, Marek; Skands, Peter; Andersen, Jeppe R.; Bhattacharya, Saptaparna; Butterworth, Jonathan; Singh Chahal, Gurpreet; Corpe, Louie; Gellersen, Leif; Gignac, Matthew; Höche, Stefan; Kar, Deepak; Krauss, Frank; Kretzschmar, Jan; Lönnblad, Leif; McFayden, Josh; Papaefstathiou, Andreas; Plätzer, Simon; Schumann, Steffen; Seymour, Michael H.; Siegert, Frank; Siódmok, Andrzej

Abstract

Streams of event weights in particle-level Monte Carlo event generators are a convenient and immensely CPU-efficient approach to express systematic uncertainties in phenomenology calculations, providing systematic variations on the nominal prediction within a single event sample. But the lack of a common standard for labelling these variation streams across different tools has proven to be a major limitation for event-processing tools and analysers alike. Here we propose a well-defined, extensible community standard for the naming, ordering, and interpretation of weight streams that will serve as the basis for semantically correct parsing and combination of such variations in both theoretical and experimental studies.

Citation

Bothmann, E., Buckley, A., Gütschow, C., Prestel, S., Schönherr, M., Skands, P., …Siódmok, A. (2023). A standard convention for particle-level Monte Carlo event-variation weights. SciPost Physics Core, 6, Article 007. https://doi.org/10.21468/scipostphyscore.6.1.007

• Journal Article Type: Article
• Acceptance Date: Oct 20, 2022
• Online Publication Date: Feb 8, 2023
• Publication Date: 2023
• Deposit Date: May 31, 2023
• Publicly Available Date: Jun 6, 2023
• Journal: SciPost Physics Core
• Publisher: SciPost
• Peer Reviewed: Peer Reviewed
• Volume: 6
• Article Number: 007
• DOI: https://doi.org/10.21468/scipostphyscore.6.1.007
• Public URL: https://durham-repository.worktribe.com/output/1172174