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20042023
most citedFeynRules 2.0 - A complete toolbox for tree-level phenomenology

2.7k citations · 10.9k across the 145 of their papers we have counts for

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13 papers · 1 filter

hep-ph2013★ 39 cited

Monotop phenomenology at the Large Hadron Collider

Jean-Laurent Agram, Jeremy Andrea, Michael Buttignol +2

We investigate new physics scenarios where systems comprised of a single top quark accompanied by missing transverse energy, dubbed monotops, can be produced at the LHC. Following…

hep-ph2013★ 112 cited

Phenomenology of the Higgs Effective Lagrangian via FeynRules

Adam Alloul, Benjamin Fuks, Veronica Sanz

The Higgs discovery and the lack of any other hint for new physics favor a description of non-standard Higgs physics in terms of an effective field theory. We present an implementa…

hep-ph2013★ 103 cited

Revisiting slepton pair production at the Large Hadron Collider

Benjamin Fuks, Michael Klasen, David R. Lamprea +1

Motivated by the shift in experimental attention towards electroweak supersymmetric particle production at the CERN LHC, we update in this paper our precision predictions at next-t…

hep-ph2013★ 2.7k cited

FeynRules 2.0 - A complete toolbox for tree-level phenomenology

Adam Alloul, Neil D. Christensen, Celine Degrande +2

FeynRules is a Mathematica-based package which addresses the implementation of particle physics models, which are given in the form of a list of fields, parameters and a Lagrangian…

hep-ph2013★ 12 cited

Multilepton signals of gauge mediated supersymmetry breaking at the LHC

Jorgen D'Hondt, Karen De Causmaecker, Benjamin Fuks +4

We investigate multilepton LHC signals arising from electroweak processes involving sleptons. We consider the framework of general gauge mediated supersymmetry breaking, focusing o…

hep-ph2013★ 9 cited

New developments in FeynRules

Adam Alloul, Neil D. Christensen, Celine Degrande +2

The program FeynRules is a Mathematica package developed to facilitate the implementation of new physics theories into high-energy physics tools. Starting from a minimal set of inf…