Results 11 to 20 of about 3,612,749 (319)

SARAH 3.2: Dirac Gauginos, UFO output, and more [PDF]

open access: yesComputer Physics Communications, 2013
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]

open access: yes, 2015
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]

open access: yesComputer Physics Communications, 2013
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

Postfeminism, popular feminism and neoliberal feminism? Sarah Banet-Weiser, Rosalind Gill and Catherine Rottenberg in conversation

open access: yesFeminist Theory, 2020
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]

open access: yesThe European Physical Journal C, 2018
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]

open access: yesOptim. Methods Softw., 2018
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]

open access: yesInformation Sciences, 2019
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]

open access: yes, 2015
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

Vista [PDF]

open access: yes, 2016
Poetry by Sarah ...
Switzer, Sarah
core   +2 more sources

Two-loop Higgs mass calculations in supersymmetric models beyond the MSSM with SARAH and SPheno [PDF]

open access: yesThe European Physical Journal C, 2014
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

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