4.5 Article

Matchmakereft: Automated tree-level and one-loop matching

Journal

SCIPOST PHYSICS
Volume 12, Issue 6, Pages -

Publisher

SCIPOST FOUNDATION
DOI: 10.21468/SciPostPhys.12.6.198

Keywords

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Funding

  1. Ministry of Science and Innovation and SRA [PID2019-106087GB-C22]
  2. Junta de Andalucia (FEDER) [FQM 101, A-FQM-211-UGR18, P18-FR-4314]
  3. European Union [754446]
  4. UGR Research and Knowledge Transfer Found - Athenea3i
  5. FPU grant from the Spanish government
  6. German Research Foundation (DFG) [39083149]
  7. German Federal Ministry for Education and Research (BMBF) [05H18UMCA1]

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Matchmakereft is a fully automated tool for computing the matching between arbitrary models and arbitrary effective theories. It utilizes Off-Shell matching method and employs diagrammatic methods and the background field method for gauge theories. Matchmakereft has been designed with generality, flexibility, and efficiency in mind, and can be applied to various tasks such as one-loop renormalization, translation between different Green bases, and checking the (Off-Shell) linear independence of operators in effective theories.
We introduce matchmakereft, a fully automated tool to compute the tree-level and one-loop matching of arbitrary models onto arbitrary effective theories. Matchmakereft performs an off-shell matching, using diagrammatic methods and the background field method (BFM) when gauge theories are involved. The large redundancy inherent to the off-shell matching together with explicit gauge invariance offers a significant number of non-trivial checks of the results provided. These results are given in the physical basis but several intermediate results, including the matching in the Green basis before and after canonical normalization, are given for flexibility and the possibility of further cross-checks. As a non-trivial example we provide the complete matching in the Warsaw basis up to one loop of an extension of the Standard Model with a charge - 1 vector-like lepton singlet. Matchmakereft has been built with generality, flexibility and efficiency in mind. These ingredients allow matchmakereft to have many applications beyond the matching between models and effective theories. Some of these applications include the one-loop renormalization of arbitrary theories (including the calculation of the one-loop renormalization group equations for arbitrary theories); the translation between different Green bases for a fixed effective theory or the check of (off-shell) linear independence of the operators in an effective theory. All these applications are performed in a fully automated way by matchmakereft.

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