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A flavor kit for BSM models

2014/05/31 by Werner Porod, W. Porod, Florian Staub +1
Mathematics · Physics and Astronomy · #Bar (unit) #Black Holes and Theoretical Physics #Combinatorics #Crystallography #Mathematics #Observable #Particle physics #Particle physics theoretical and experimental studies #Physics #Physics beyond the Standard Model #Quantum Chromodynamics and Particle Interactions #Quantum mechanics #hep-ph

paper · pdf · doi:10.1140/epjc/s10052-014-2992-2

published as Eur. Phys. J. C (2014) 74:2992 · 68 pages; PreSARAH and FlavorKit (included in SARAH 4.2.0) can be downloaded at http://sarah.hepforge.org/FlavorKit.html; v2: minor extensions, matches published version; v3: unifying layout in the appendix

openalex publication_date 2014/08/01 · arxiv created 2016/05/09 · arxiv updated 2016/05/11 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/05

Abstract

We present a new kit for the study of flavor observables in models beyond the standard model. The setup is based on the public codes SARAH and SPheno and allows for an easy implementation of new observables. The Wilson coefficients of the corresponding operators in the effective lagrangian are computed by SPheno modules written by SARAH. New operators can also be added by the user in a modular way. For this purpose a handy Mathematica package called the PreSARAH has been developed. This uses FeynArts and FormCalc to derive generic form factors at tree- and 1-loop levels and to generate the necessary input files for SARAH. This framework has been used to implement BR( ℓ α → ℓ β γ ), BR( ℓ α → 3 ℓ β ), CR( μ -e,A ), BR( τ → P ℓ ), BR( h→ ℓ α β ), BR( Z→ ℓ α β ), BR( Bs,d0 → ℓ ℓ ), BR( B → Xsγ ), BR( B → Xs ℓ ℓ ), BR( B → Xd,s ν ν ), BR( K+ → π + ν ν ), BR( KL → π 0 ν ν ), \varDelta MBs,Bd , \varDelta MK , ε K , BR( B → K μ μ ), BR( B→ ℓ ν ), BR( Ds → ℓ ν ) and BR( K → ℓ ν ) in SARAH. Predictions for these observables can now be obtained in a wide range of SUSY and non-SUSY models. Finally, the user can use the same approach to easily compute additional observables.

Citations