A proof of concept for matchete: an automated tool for matching effective theories

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URI: https://hdl.handle.net/10481/84290
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Author
Fuentes Martín, Javier; König, Matthias; Pagès, Julie; Thomsen, Anders Eller; Wilsch, Felix
Editorial
Springer Nature
Date
2023-07-25
Referencia bibliográfica
Fuentes-Martín, J., König, M., Pagès, J. et al. A proof of concept for matchete: an automated tool for matching effective theories. Eur. Phys. J. C 83, 662 (2023). [https://doi.org/10.1140/epjc/s10052-023-11726-1]
Sponsorship
European Union NextGenerationEU/PRTR IJC2020-043549-I; Sino-German Collaborative Research Center 196253076; U.S. Department of Energy; Savannah River Operations Office, U.S. Department of Energy; H2020 European Research Council; H2020 European Research Council 833280; Idaho Operations Office, U.S. Department of Energy DE-SC0009919; European Research Council; Deutsche Forschungsgemeinschaft; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung 186866, 200020-204428; National Natural Science Foundation of China 2070131001, TRR110; Ministerio de Ciencia e Innovación PID2019-106087GB-C22; European Regional Development Fund FQM101; Junta de Andalucía P18-FR-4314, P21_00199
Abstract
Studying the impact of new-physics models on low-energy observables necessitates matching to effective field theories at the relevant mass thresholds. We introduce the first public version of Matchete, a computer tool for matching weakly-coupled models at one-loop order. It uses functional methods to directly compute all matching contributions in a manifestly gauge-covariant manner, while simplification methods eliminate redundant operators from the output. We sketch the workings of the program and provide examples of how to match simple Standard Model extensions
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Atribución 4.0 Internacional
Except where otherwise noted, this item's license is described as Atribución 4.0 Internacional