Automation of a matching on-shell calculator

We introduce mosca , a Mathematica package designed to facilitate on-shell calculations in effective field theories (EFTs). This initial release focuses on the reduction of Green’s bases to physical bases, as well as transformations between arbitrary operator bases. The core of the package is based on a diagrammatic on-shell matching procedure, grounded in the equivalence of physical observables derived from both redundant and non-redundant Lagrangians. mosca offers a complete set of tools for performing basis transformations, diagram isomorphism detection, numerical substitution of kinematic configurations, and symbolic manipulation of algebraic expressions. Planned future developments include extension to one-loop computations, thus providing support for EFT renormalization directly in a physical basis and automated computation of one-loop finite matching, including contributions from evanescent operators. PROGRAM SUMMARY Program Title: mosca CPC Library link to program files: https://doi.org/10.17632/xf8zs7hnhm.1 Developer’s repository link: https://gitlab.com/matchingonshell/mosca Licensing provisions: GPLv3 Programming language: Mathematica Nature of problem: Matching calculations in effective field theories are traditionally performed off-shell, involving complicated basis reductions through non-trivial field redefinitions to eliminate redundant operators. This process is algebraically intensive and prone to errors. Although on-shell matching, which focuses directly on physical observables, could simplify these steps by avoiding field redefinitions, it has been considered impractical due to the presence of apparent non-localities that must cancel precisely. Automating on-shell matching has therefore been a long-standing challenge. Solution method: Our approach is based on a numerical solution of the on-shell matching equations, which naturally and effortlessly enforces the delicate cancellation of non-local terms between the full theory and the effective theory. By employing rational on-shell kinematics, the method achieves an exact analytic solution despite using numerical techniques. This allows the matching to be performed entirely within a physical operator basis. Additional comments including restrictions and unusual features: The workflow for handling Lagrangians and Feynman diagrams in mosca is based on the integration of FeynArts and FeynCalc. Consequently, users need to provide specific FeynArts model files patched for compatibility with FeynCalc. Additionally, a specialized input format is required to define Wilson coefficients along with their corresponding EFT order (EFTOrder). These requirements ensure the correct processing of models and coefficients.

Authors

Institutions

Publication Details

Journal
Computer Physics Communications
Published
2025-11-20
DOI
https://doi.org/10.1016/j.cpc.2025.109935
Citations
2
Primary Topic
Electromagnetic Scattering and Analysis
Type
article
Field-Weighted Citation Impact
2.49
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Automation of a matching on-shell calculator

Fuensanta Vilches, Javier López Miras
2 citations
Computer Physics Communications
Electromagnetic Scattering and Analysis
2.49
article

Automation of a matching on-shell calculator

Fuensanta Vilches, Javier López Miras
article en
2 citations

Abstract

We introduce mosca , a Mathematica package designed to facilitate on-shell calculations in effective field theories (EFTs). This initial release focuses on the reduction of Green’s bases to physical bases, as well as transformations between arbitrary operator bases. The core of the package is based on a diagrammatic on-shell matching procedure, grounded in the equivalence of physical observables derived from both redundant and non-redundant Lagrangians. mosca offers a complete set of tools for performing basis transformations, diagram isomorphism detection, numerical substitution of kinematic configurations, and symbolic manipulation of algebraic expressions. Planned future developments include extension to one-loop computations, thus providing support for EFT renormalization directly in a physical basis and automated computation of one-loop finite matching, including contributions from evanescent operators. PROGRAM SUMMARY Program Title: mosca CPC Library link to program files: https://doi.org/10.17632/xf8zs7hnhm.1 Developer’s repository link: https://gitlab.com/matchingonshell/mosca Licensing provisions: GPLv3 Programming language: Mathematica Nature of problem: Matching calculations in effective field theories are traditionally performed off-shell, involving complicated basis reductions through non-trivial field redefinitions to eliminate redundant operators. This process is algebraically intensive and prone to errors. Although on-shell matching, which focuses directly on physical observables, could simplify these steps by avoiding field redefinitions, it has been considered impractical due to the presence of apparent non-localities that must cancel precisely. Automating on-shell matching has therefore been a long-standing challenge. Solution method: Our approach is based on a numerical solution of the on-shell matching equations, which naturally and effortlessly enforces the delicate cancellation of non-local terms between the full theory and the effective theory. By employing rational on-shell kinematics, the method achieves an exact analytic solution despite using numerical techniques. This allows the matching to be performed entirely within a physical operator basis. Additional comments including restrictions and unusual features: The workflow for handling Lagrangians and Feynman diagrams in mosca is based on the integration of FeynArts and FeynCalc. Consequently, users need to provide specific FeynArts model files patched for compatibility with FeynCalc. Additionally, a specialized input format is required to define Wilson coefficients along with their corresponding EFT order (EFTOrder). These requirements ensure the correct processing of models and coefficients.

Computer Physics CommunicationsVol. 320
Universidad de Granada (ES)
Openalex Percentile: Top 9%
Electromagnetic Scattering and Analysis
2.49
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.