A proof of concept for matchete: an automated tool for matching effective theories.
THE EUROPEAN PHYSICAL JOURNAL. C, PARTICLES AND FIELDS 2023;
83:662. [PMID:
37502490 PMCID:
PMC10368572 DOI:
10.1140/epjc/s10052-023-11726-1]
[Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/17/2023] [Accepted: 06/17/2023] [Indexed: 07/29/2023]
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. The package, documentation, and example notebooks are publicly available at https://gitlab.com/matchete/matchete.
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