Automated simulations beyond the Standard Model: supersymmetry

• DOI: 10.1007/jhep12(2019)008
• Publication Date: 2019-12-10T11:04:06Z
• Authors: Stefano Frixione; Benjamin Fuks; Valentin Hirschi; Kentarou Mawatari; Hua-Sheng Shao; Marthijn P. A. Su...; Marco Zaro
• Keywords: p p: scattering; [PHYS.HEXP] Physics [physics]/High Energy Physics - Experiment [hep-ex]; Feynman graph; squark: mass; gluino: pair production; parton: distribution function; FOS: Physical sciences; QC770-798; 01 natural sciences; parton: showers; High Energy Physics - Experiment; High Energy Physics - Experiment (hep-ex); High Energy Physics - Phenomenology (hep-ph); Nuclear and particle physics. Atomic energy. Radioactivity; NLO Computations; 0103 physical sciences; tree approximation; numerical calculations; supersymmetry: symmetry breaking; computer; Bjorken; new physics; higher-order: 1; minimal supersymmetric standard model; neutralino: production; [PHYS.HPHE] Physics [physics]/High Energy Physics - Phenomenology [hep-ph]; High Energy Physics - Phenomenology; CERN LHC Coll; wave function: renormalization; Supersymmetry Phenomenology; kinematics; NLO Computations; Supersymmetry Phenomenology; cross section: calculated; narrow resonance

Abstract

The MadGraph5_aMC@NLO framework aims to automate all types of leading- and next-to-leading-order-accurate simulations for any user-defined model that stems from a renormalisable Lagrangian. In this paper, we present all of the key ingredients of such models in the context of supersymmetric theories. In order to do so, we extend the FeynRules package by giving it the possibility of dealing with different renormalisation options that are relevant to supersymmetric models. We also show how to deal with the problem posed by the presence of narrow resonances, thus generalising the so-called on-shell subtraction approaches. We extensively compare our total rate results with those of both Prospino2 and Resummino, and present illustrative applications relevant to the 13 TeV LHC, both at the total-rate and differential levels. The computer programmes that we have used to obtain the predictions presented here are all publicly available.