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A Flavor Kit for BSM models
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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 PreSARAH has been developed. This uses FeynArts and FormCalc to derive the 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($\ell_\alpha\to \ell_\beta \gamma$), BR($\ell_\alpha \to 3\, \ell_\beta$), CR($\mu-e,A$), BR($\tau \to P \, \ell$), BR($h\to \ell_\alpha \ell_\beta$), BR($Z\to \ell_\alpha \ell_\beta$), BR($B_{s,d}^0 \to \ell \bar{\ell}$), BR($\bar B \to X_s\gamma$), BR($\bar B \to X_s \ell \bar{\ell}$), BR($\bar B \to X_{d,s} \nu \bar \nu$), BR($K^+ \to \pi^+ \nu \bar \nu$), BR($K_L \to \pi^0 \nu \bar \nu$), $\Delta M_{B_s,B_d}$, $\Delta M_K$, $\varepsilon_K$, BR($B \to K \mu \bar{\mu}$), BR($B\to \ell \nu$), BR($D_s \to \ell \nu$) and BR($K \to \ell \nu$) 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.
Forward citations
Cited by 4 Pith papers
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Unveiling the inert Triplet desert region with a pNGB Dark Matter and its Gravitational Wave signatures
A two-component dark matter model combining an inert scalar triplet with a pseudo-Goldstone singlet revives the sub-TeV triplet desert region and predicts gravitational waves detectable by LISA, BBO, and DECIGO.
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Collider signatures of fermionic scotogenic dark matter
LHC searches can probe fermionic scotogenic dark matter in the singlet-triplet model, complementing charged lepton flavor violation and relic density constraints.
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Complementary probes of Bilinear RPV SUSY models with a wino-like LSP via Neutrino Oscillation and LHC
MCMC scan of bilinear RPV SUSY parameters constrained by neutrino data yields branching ratios that set LHC exclusions of wino-like χ̃1±/χ̃10 up to 565 GeV now and 950 GeV at HL-LHC for the best-fit point.
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