LHC EFT WG note: SMEFT predictions, event reweighting, and simulation

This note provides a comprehensive overview of tools for predicting observables in the Standard Model effective field theory (SMEFT) at both tree level and one loop using event generators. We evaluate three primary methodologies–event reweighting, separate simulation of squared matrix elements, and full SMEFT process simulation–focusing on their statistical performance, computational efficiency, and potential biases. Each approach is assessed in terms of its accuracy, highlighting trade-offs between precision and resource demands. Practical insights into their applicability for high-energy physics analyses are offered, with particular attention to processes where SMEFT effects are significant. Additionally, we discuss the role of helicity in reweighting strategies and its impact on the quality of predictions. By comparing the methods across various LHC processes, this note provides guidance for selecting the most effective strategy for various SMEFT studies, ensuring robust predictions while optimizing computational resources.

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Publication Details

Journal
SciPost Physics Community Reports
Published
2024-11-29
DOI
https://doi.org/10.21468/scipostphyscommrep.4
Citations
3
Primary Topic
Particle physics theoretical and experimental studies
Type
article
Field-Weighted Citation Impact
1.98

Funders

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article

LHC EFT WG note: SMEFT predictions, event reweighting, and simulation

M. Presilla, S. Sánchez Cruz, A. Grohsjean, Jennet Elizabeth Dickinson et al.
3 citations
SciPost Physics Community Reports
Particle physics theoretical and experimental studies
1.98
article

LHC EFT WG note: SMEFT predictions, event reweighting, and simulation

M. Presilla, S. Sánchez Cruz, A. Grohsjean, Jennet Elizabeth Dickinson, G. Boldrini, S. H. Robertson, R. Goldouzian, L. Jeppe, Charlotte Knight, Nick L. Smith, V. Perovic, H. Nelson, S. Bhattacharya, Kelci Mohrman, Alberto Belvedere, A. Calandri, Olivier Mattelaer, Franz Glessgen, S. Chatterjee
article en
3 citations

Abstract

This note provides a comprehensive overview of tools for predicting observables in the Standard Model effective field theory (SMEFT) at both tree level and one loop using event generators. We evaluate three primary methodologies–event reweighting, separate simulation of squared matrix elements, and full SMEFT process simulation–focusing on their statistical performance, computational efficiency, and potential biases. Each approach is assessed in terms of its accuracy, highlighting trade-offs between precision and resource demands. Practical insights into their applicability for high-energy physics analyses are offered, with particular attention to processes where SMEFT effects are significant. Additionally, we discuss the role of helicity in reweighting strategies and its impact on the quality of predictions. By comparing the methods across various LHC processes, this note provides guidance for selecting the most effective strategy for various SMEFT studies, ensuring robust predictions while optimizing computational resources.

SciPost Physics Community Reports
Karlsruhe Institute of Technology (DE), University of Notre Dame (US), Northwestern University (US), Fermi National Accelerator Laboratory (US), Austrian Academy of Sciences (AT), École Polytechnique (FR), Wayne State University (US), Deutsches Elektronen-Synchrotron DESY (DE), University of Florida (US), ETH Zurich (CH), Laboratoire Leprince-Ringuet (FR), Imperial College London (GB), École Polytechnique Fédérale de Lausanne (CH), European Organization for Nuclear Research (CH), UCLouvain (BE)
U.S. Department of Energy, Alexander von Humboldt-Stiftung, Office of Science, High Energy Physics
Openalex Percentile: Top 8%
Particle physics theoretical and experimental studies
1.98
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