A flavor kit for BSM models

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• 作者：Werner Porod (1)
  Florian Staub (2)
  Avelino Vicente (3)
  
  1. Institut f眉r Theoretische Physik und Astronomie ; Universit盲t W眉rzburg ; 97074聽 ; W眉rzburg ; Germany
  2. BCTP and Physikalisches Institut der Universit盲t Bonn ; Nu脽allee 12 ; 53115聽 ; Bonn ; Germany
  3. IFPA ; Dep. AGO ; Universit茅 de Li猫ge ; Bat B5 ; Sart-Tilman ; 4000聽 ; Li猫ge 1 ; Belgium
  
• 刊名：The European Physical Journal C - Particles and Fields
• 出版年：2014
• 出版时间：August 2014
• 年：2014
• 卷：74
• 期：8
• 全文大小：1,256 KB
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• 刊物类别：Physics and Astronomy
• 刊物主题：Physics
  Elementary Particles and Quantum Field Theory
  Nuclear Physics, Heavy Ions and Hadrons
  Physics beyond the Standard Model
  Measurement Science and Instrumentation
  Astronomy, Astrophysics and Cosmology
  
• 出版者：Springer Berlin / Heidelberg
• ISSN：1434-6052

文摘

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( \(\ell _{\alpha } \rightarrow \ell _{\beta } \gamma \) ), BR( \(\ell _{\alpha } \rightarrow 3\, \ell _{\beta }\) ), CR( \(\mu -e,A\) ), BR( \(\tau \rightarrow P \, \ell \) ), BR( \(h\rightarrow \ell _{\alpha } \ell _{\beta }\) ), BR( \(Z\rightarrow \ell _{\alpha } \ell _{\beta }\) ), BR( \(B_{s,d}^0 \rightarrow \ell \bar{\ell }\) ), BR( \({\bar{B}} \rightarrow X_s\gamma \) ), BR( \({\bar{B}} \rightarrow X_s \ell \bar{\ell }\) ), BR( \({\bar{B}} \rightarrow X_{d,s} \nu {\bar{\nu }}\) ), BR( \(K^+ \rightarrow \pi ^+ \nu {\bar{\nu }}\) ), BR( \(K_L \rightarrow \pi ^0 \nu {\bar{\nu }}\) ), \(\varDelta M_{B_s,B_d}\) , \(\varDelta M_K\) , \(\varepsilon _K\) , BR( \(B \rightarrow K \mu \bar{\mu }\) ), BR( \(B\rightarrow \ell \nu \) ), BR( \(D_s \rightarrow \ell \nu \) ) and BR( \(K \rightarrow \ell \nu \) ) 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.