Results 11 to 20 of about 3,612,749 (319)
SARAH 3.2: Dirac Gauginos, UFO output, and more [PDF]
SARAH is a Mathematica package optimized for the fast, efficient and precise study of supersymmetric models beyond the MSSM: a new model can be defined in a short form and all vertices are derived.
Staub, Florian
core +2 more sources
Introduction to SARAH and related tools [PDF]
I give in this lecture an overview of the features of the Mathematica package SARAH, and explain how it can be used together with other codes to study all aspects of a BSM model.
Staub, Florian
core +2 more sources
SARAH 4: A tool for (not only SUSY) model builders [PDF]
We present the new version of the Mathematica package SARAH which provides the same features for a non-supersymmetric model as previous versions for supersymmetric models. This includes an easy and straightforward definition of the model, the calculation
F. Staub
semanticscholar +1 more source
In this unconventional article, Sarah Banet-Weiser, Rosalind Gill and Catherine Rottenberg conduct a three-way ‘conversation’ in which they all take turns outlining how they understand the relationship among postfeminism, popular feminism and neoliberal ...
Sarah Banet‐Weiser +2 more
semanticscholar +1 more source
Unitarity constraints on general scalar couplings with SARAH [PDF]
We present an update of the Mathematica package SARAH to calculate unitarity constraints in BSM models. The new functions can perform an analytical and numerical calculation of the two-particle scattering matrix of (uncoloured) scalars.
M. Goodsell, F. Staub
semanticscholar +1 more source
Inexact SARAH algorithm for stochastic optimization [PDF]
We develop and analyse a variant of the SARAH algorithm, which does not require computation of the exact gradient. Thus this new method can be applied to general expectation minimization problems rather than only finite sum problems.
Lam M. Nguyen +2 more
semanticscholar +1 more source
Accelerating Mini-batch SARAH by Step Size Rules [PDF]
StochAstic Recursive grAdient algoritHm (SARAH), originally proposed for convex optimization and also proven to be effective for general nonconvex optimization, has received great attention due to its simple recursive framework for updating stochastic ...
Zhuang Yang, Zengping Chen, Cheng Wang
semanticscholar +1 more source
Exploring New Models in All Detail with SARAH [PDF]
I give an overview about the features the Mathematica package SARAH provides to study new models. In general, SARAH can handle a wide range of models beyond the MSSM coming with additional chiral superfields, extra gauge groups, or distinctive features ...
F. Staub
semanticscholar +1 more source
Two-loop Higgs mass calculations in supersymmetric models beyond the MSSM with SARAH and SPheno [PDF]
We present an extension to the Mathematica package SARAH which allows for Higgs mass calculations at the two-loop level in a wide range of supersymmetric (SUSY) models beyond the MSSM.
M. Goodsell, K. Nickel, F. Staub
semanticscholar +1 more source

