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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…

High Energy Physics - Phenomenology · Physics 2020-05-18 Stefano Frixione , Benjamin Fuks , Valentin Hirschi , Kentarou Mawatari , Hua-Sheng Shao , Marthijn P. A. Sunder , Marco Zaro

We present version 3.4 of the CalcHEP software package which is designed for effective evaluation and simulation of high energy physics collider processes at parton level. The main features of CalcHEP are the computation of Feynman…

High Energy Physics - Phenomenology · Physics 2015-06-05 Alexander Belyaev , Neil D. Christensen , Alexander Pukhov

High-precision analyses of supersymmetry parameters aim at reconstructing the fundamental supersymmetric theory and its breaking mechanism. A well defined theoretical framework is needed when higher-order corrections are included. We…

High Energy Physics - Phenomenology · Physics 2009-01-07 J. A. Aguilar-Saavedra , A. Ali , B. C. Allanach , R. Arnowitt , H. A. Baer , J. A. Bagger , C. Balazs , V. Barger , M. Barnett , A. Bartl , M. Battaglia , P. Bechtle , G. Belanger , A. Belyaev , E. L. Berger , G. Blair , E. Boos , M. Carena , S. Y. Choi , F. Deppisch , A. De Roeck , K. Desch , M. A. Diaz , A. Djouadi , B. Dutta , S. Dutta , H. Eberl , J. Ellis , J. Erler , H. Fraas , A. Freitas , T. Fritzsche , R. M. Godbole , G. J. Gounaris , J. Guasch , J. Gunion , N. Haba , H. E. Haber , K. Hagiwara , L. Han , T. Han , H. -J. He , S. Heinemeyer , S. Hesselbach , K. Hidaka , I. Hinchliffe , M. Hirsch , K. Hohenwarter-Sodek , W. Hollik , W. S. Hou , T. Hurth , I. Jack , Y. Jiang , D. R. T. Jones , J. Kalinowski , T. Kamon , G. Kane , S. K. Kang , T. Kernreiter , W. Kilian , C. S. Kim , S. F. King , O. Kittel , M. Klasen , J. -L. Kneur , K. Kovarik , M. Kramer , S. Kraml , R. Lafaye , P. Langacker , H. E. Logan , W. -G. Ma , W. Majerotto , H. -U. Martyn , K. Matchev , D. J. Miller , M. Mondragon , G. Moortgat-Pick , S. Moretti , T. Mori , G. Moultaka , S. Muanza , M. M. Muhlleitner , B. Mukhopadhyaya , U. Nauenberg , M. M. Nojiri , D. Nomura , H. Nowak , N. Okada , K. A. Olive , W. Oller , M. Peskin , T. Plehn , G. Polesello , W. Porod , F. Quevedo , D. Rainwater , J. Reuter , P. Richardson , K. Rolbiecki , P. Roy , R. Ruckl , H. Rzehak , P. Schleper , K. Siyeon , P. Skands , P. Slavich , D. Stockinger , P. Sphicas , M. Spira , T. Tait , D. R. Tovey , J. W. F. Valle , C. E. M. Wagner , Ch. Weber , G. Weiglein , P. Wienemann , Z. -Z. Xing , Y. Yamada , J. M. Yang , D. Zerwas , P. M. Zerwas , R. -Y. Zhang , X. Zhang , S. -H. Zhu

This article introduces the Mathematica package \emph{HEPMath} which provides a number of utilities and algorithms for High Energy Physics computations in Mathematica. Its functionality is similar to packages like FormCalc or FeynCalc, but…

High Energy Physics - Phenomenology · Physics 2015-07-08 Martin Wiebusch

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. We…

High Energy Physics - Phenomenology · Physics 2018-10-17 Mark D. Goodsell , Florian Staub

The field of particle physics is living very exciting times with a plethora of experiments looking for new physics in complementary ways. This has made increasingly necessary to obtain precise predictions in new physics models in order to…

High Energy Physics - Phenomenology · Physics 2017-05-19 Avelino Vicente

The set of associative and commutative hypercomplex numbers, called the perfect hypercomplex algebra (PHA) is investigated. Necessary and sufficient conditions for an algebra to be a PHA via semi-tensor product(STP) of matrices are…

Rings and Algebras · Mathematics 2021-05-10 Daizhan Cheng , Zhengping Ji

We present the Mathematica package $\texttt{MultiHypExp}$ that allows for the expansion of multivariate hypergeometric functions (MHFs), especially those likely to appear as solutions of multi-loop, multi-scale Feynman integrals, in the…

High Energy Physics - Theory · Physics 2024-01-15 Souvik Bera

ALHEP is the symbolic algebra program for high-energy physics. It deals with amplitudes calculation, matrix element squaring, Wick theorem, dimensional regularization, tensor reduction of loop integrals and simplification of final…

High Energy Physics - Phenomenology · Physics 2007-05-23 V. Makarenko

We characterize the symmetry algebra of the generic superintegrable system on a pseudo-sphere corresponding to the homogeneous space $SO(p,q+1)/SO(p,q)$ where $p+q={\cal N}$, ${\cal N}\in\mathbb N$. We show that this algebra is independent…

Mathematical Physics · Physics 2020-11-10 S. Kuru , I. Marquette , J. Negro

We present a Mathematica package for doing computations with gamma matrices, spinors, tensors and other objects, in any dimension and signature. The approach we use is based on defining the commutation relations of the relevant matrices,…

High Energy Physics - Theory · Physics 2019-05-03 Pyry Kuusela

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 information such as the model gauge symmetries, its particle…

High Energy Physics - Phenomenology · Physics 2014-06-13 Adam Alloul , Neil D. Christensen , Celine Degrande , Claude Duhr , Benjamin Fuks

Supersymmetry with heavy scalars is a model where at the LHC we have to rely on rate measurements to determine the parameters of the underlying new physics. For this example we show how to properly combine rate measurements with kinematic…

High Energy Physics - Phenomenology · Physics 2011-04-14 Emmanuel Turlay , Remi Lafaye , Tilman Plehn , Michael Rauch , Dirk Zerwas

We present FaRe, a package for Mathematica that implements the decomposition of a generic tensor Feynman integral, with arbitrary loop number, into scalar integrals in higher dimension. In order for FaRe to work, the package FeynCalc is…

High Energy Physics - Phenomenology · Physics 2016-03-23 Michele Re Fiorentin

In many applications (hupergeometric-type) special functions like orthogonal polynomials are needed. For example in more than 50% of the published solutions for the (application-oriented) questions in the "Problems Section" of SIAM Review…

Classical Analysis and ODEs · Mathematics 2025-10-20 Wolfram Koepf

We present a SageMath package for calculating elliptic genera of homogeneous spaces and their complete intersections. This includes the calculation of the basis of weak Jacobi forms, Chern numbers of homogeneous spaces and their complete…

Algebraic Geometry · Mathematics 2023-06-22 Kenta Kobayashi

We propose a new stochastic first-order algorithmic framework to solve stochastic composite nonconvex optimization problems that covers both finite-sum and expectation settings. Our algorithms rely on the SARAH estimator introduced in…

Optimization and Control · Mathematics 2019-04-01 Nhan H. Pham , Lam M. Nguyen , Dzung T. Phan , Quoc Tran-Dinh

We propose SHARC, a novel framework that synthesizes arbitrary, genus-agnostic shapes by means of a collection of Spherical Harmonic (SH) representations of distance fields. These distance fields are anchored at optimally placed reference…

Computer Vision and Pattern Recognition · Computer Science 2026-04-03 Panagiotis Sapoutzoglou , George Terzakis , Maria Pateraki

"GRAMA" is a Mathematica package for doing symbolic tensor computations and complicated algebraic manipulations in 10-dimensional (D=10) simple (N=1) supergravity. The main new ingredients of this package inside the general Mathematica…

High Energy Physics - Theory · Physics 2008-02-03 N. A. Saulina , E. M. Terentjev , M. V. Terentiev

Hyperparameters tuning is a fundamental, yet computationally expensive, step in optimizing machine learning models. Beyond optimization, understanding the relative importance and interaction of hyperparameters is critical to efficient model…

Machine Learning · Computer Science 2025-12-23 Moncef Garouani , Ayah Barhrhouj