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Related papers: SpinorHelicity4D: a Mathematica toolbox for the fo…

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scida is a Python package for reading and analyzing large scientific data sets with support for various cosmological and galaxy formation simulations out-of-the-box. Data access is provided through a hierarchical dictionary-like data…

Instrumentation and Methods for Astrophysics · Physics 2024-02-29 Chris Byrohl , Dylan Nelson

We present the $\textit{NumericalImplicitization}$ package for $\textit{Macaulay2}$, which allows for user-friendly computation of the invariants of the image of a polynomial map, such as dimension, degree, and Hilbert function values. This…

Algebraic Geometry · Mathematics 2019-10-16 Justin Chen , Joe Kileel

We take a fresh look at Feynman diagrams in the spinor-helicity formalism. Focusing on tree-level massless QED and QCD, we develop a new and conceptually simple graphical method for their calculation. In this pictorial method, which we dub…

High Energy Physics - Phenomenology · Physics 2020-11-03 Andrew Lifson , Christian Reuschle , Malin Sjodahl

An on-shell formalism for the computation of S-matrices of SYM theories in three spacetime dimensions is presented. The framework is a generalization of the spinor-helicity formalism in four dimensions. The formalism is applied to establish…

High Energy Physics - Theory · Physics 2011-08-03 Abhishek Agarwal , Donovan Young

In quantum theory, the so-called "spinless Salpeter equation," the relativistic generalization of the nonrelativistic Schroedinger equation, is used to describe both bound states of scalar particles and the spin-averaged spectra of bound…

High Energy Physics - Phenomenology · Physics 2009-10-31 Wolfgang Lucha , F. F. Schoberl

Spinor formalism is the formalism induced by solutions of the Clifford equation (the connecting operators). For the space-time manifold (n = 4), these operators, connecting the tangent and spinor bundle, are operators that are represented…

Mathematical Physics · Physics 2012-05-11 K. V. Andreev

Symbolic integration over the Haar measure of compact groups is a computational cornerstone in quantum information science and random matrix theory. We present \texttt{IntegrateUnitary.jl}, a comprehensive Julia package for computing exact…

Quantum Physics · Physics 2026-05-25 Łukasz Pawela , Zbigniew Puchała

Consider a formally self-adjoint first order linear differential operator acting on pairs (2-columns) of complex-valued scalar fields over a 4-manifold without boundary. We examine the geometric content of such an operator and show that it…

Analysis of PDEs · Mathematics 2015-05-05 Yan-Long Fang , Dmitri Vassiliev

Modern large scale cosmological hydrodynamic simulations require robust tools capable of analysing their data outputs in a parallel and efficient manner. We introduce SOAP (Spherical Overdensity and Aperture Processor), a Python package…

Instrumentation and Methods for Astrophysics · Physics 2025-07-31 Robert McGibbon , John C. Helly , Joop Schaye , Matthieu Schaller , Bert Vandenbroucke

In this work, we present a geometrical reconstruction of the critical points of the spinfoam amplitude for a 4D Lorentzian model with a non-zero cosmological constant. By establishing the correspondence between the moduli space of ${\rm…

General Relativity and Quantum Cosmology · Physics 2025-04-10 Qiaoyin Pan

Simflowny is an open platform which automatically generates efficient parallel code of scientific dynamical models for different simulation frameworks. Here we present major upgrades on this software to support simultaneously a quite…

Computational Physics · Physics 2020-12-02 C. Palenzuela , B. Miñano , A. Arbona , C. Bona-Casas , C. Bona , J. Massó

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,…

High Energy Physics - Phenomenology · Physics 2014-04-07 Florian Staub

In this paper we present a space-time calculus for symmetric spinors, including a product with a number of index contractions followed by symmetrization. As all operations stay within the class of symmetric spinors, no involved index…

General Relativity and Quantum Cosmology · Physics 2023-03-29 Steffen Aksteiner , Thomas Bäckdahl

Precision calculations in hadronic processes at high energy colliders are crucial for improving the understanding of the standard phenomena as well as for the discovery of new physics. Spinor-helicity formalism serves as one of the most…

High Energy Physics - Phenomenology · Physics 2025-11-10 Vibhu Pandya , Radhika Vinze , Anuradha Misra

High-dimensional photonic states have significantly advanced the fundamentals and applications of light. However, it remains huge challenges to quantify arbitrary states in high-dimensional Hilbert spaces with spin and orbital angular…

We propose a new program for computing a certain integrand of scattering amplitudes of four-dimensional gauge theories which we call the \textit{form factor integrand}, starting from 6d holomorphic theories on twistor space. We show that…

High Energy Physics - Theory · Physics 2023-01-03 Kevin Costello , Natalie M. Paquette

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 an alternative approach for calculating helicity amplitudes for processes involving both massless and massive fermions. With this method one can easily obtain covariant expressions for the helicity amplitudes. The final…

High Energy Physics - Phenomenology · Physics 2014-11-17 R. Vega , J. Wudka

With the explosive growth of 3D content creation, there is an increasing demand for automatically converting static 3D models into articulation-ready versions that support realistic animation. Traditional approaches rely heavily on manual…

Computer Vision and Pattern Recognition · Computer Science 2025-02-19 Chaoyue Song , Jianfeng Zhang , Xiu Li , Fan Yang , Yiwen Chen , Zhongcong Xu , Jun Hao Liew , Xiaoyang Guo , Fayao Liu , Jiashi Feng , Guosheng Lin

Dominant paradigms for 4D LiDAR panoptic segmentation are usually required to train deep neural networks with large superimposed point clouds or design dedicated modules for instance association. However, these approaches perform redundant…

Computer Vision and Pattern Recognition · Computer Science 2026-03-17 Gyeongrok Oh , Youngdong Jang , Jonghyun Choi , Suk-Ju Kang , Guang Lin , Sangpil Kim