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相关论文: Ninja: Automated Integrand Reduction via Laurent E…

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We introduce a new method for the application of one-loop integrand reduction via the Laurent expansion algorithm, as implemented in the public C++ library Ninja. We show how the coefficients of the Laurent expansion can be computed by…

高能物理 - 唯象学 · 物理学 2016-06-28 Valentin Hirschi , Tiziano Peraro

We present the application of a novel reduction technique for one-loop scattering amplitudes based on the combination of the integrand reduction and Laurent expansion. We describe the general features of its implementation in the computer…

高能物理 - 唯象学 · 物理学 2015-06-18 Hans van Deurzen , Gionata Luisoni , Pierpaolo Mastrolia , Edoardo Mirabella , Giovanni Ossola , Tiziano Peraro

We present recent developments on the topic of the integrand reduction of scattering amplitudes. Integrand-level methods allow to express an amplitude as a linear combination of Master Integrals, by performing operations on the…

We present a semi-analytic method for the integrand reduction of one-loop amplitudes, based on the systematic application of the Laurent expansions to the integrand-decomposition. In the asymptotic limit, the coefficients of the master…

高能物理 - 唯象学 · 物理学 2015-06-04 Pierpaolo Mastrolia , Edoardo Mirabella , Tiziano Peraro

We present a new algorithm for the reduction of one-loop tensor Feynman integrals within the framework of the XLOOPS project, covering both mathematical and programming aspects. The new algorithm supplies a clean way to reduce the one-loop…

高能物理 - 唯象学 · 物理学 2009-11-07 C. Bauer , H. S. Do

We present an optimization of the reduction algorithm of one-loop amplitudes in terms of master integrals. It is based on the exploitation of the polynomial structure of the integrand when evaluated at values of the loop-momentum fulfilling…

高能物理 - 唯象学 · 物理学 2008-11-26 P. Mastrolia , G. Ossola , C. G. Papadopoulos , R. Pittau

We review some of the recent advances in the computation of one-loop scattering amplitudes which led to the construction of efficient and automated computational tools for NLO predictions. Particular attention is devoted to unitarity-based…

高能物理 - 唯象学 · 物理学 2015-06-17 Giovanni Ossola

This paper describes a C++ library that compiles neural network models at runtime into machine code that performs inference. This approach in general promises to achieve the best performance possible since it is able to integrate statically…

机器学习 · 计算机科学 2019-12-23 Felix Thielke , Arne Hasselbring

After a brief general introduction about the integrand-reduction method, we will review the main features of the GoSam 2.0 automated framework for one-loop calculations and illustrate its application to SM processes involving the production…

高能物理 - 唯象学 · 物理学 2016-01-19 Giovanni Ossola

In this presentation, we review the general features of integrand-reduction techniques, with a particular focus on their generalization beyond one loop. We start with a brief discussion of the one-loop scenario, a case in which…

高能物理 - 唯象学 · 物理学 2016-08-01 Giovanni Ossola

Reduze is a computer program for reducing Feynman Integrals to master integrals employing a Laporta algorithm. The program is written in C++ and uses classes provided by the GiNaC library to perform the simplifications of the algebraic…

计算物理 · 物理学 2014-11-20 C. Studerus

Building on the open-loop algorithm we introduce a new method for the automated construction of one-loop amplitudes and their reduction to scalar integrals. The key idea is that the factorisation of one-loop integrands in a product of loop…

高能物理 - 唯象学 · 物理学 2018-03-14 Federico Buccioni , Stefano Pozzorini , Max Zoller

This paper describes Nancy, a Network Calculus (NC) library that allows users to perform complex min-plus and max-plus algebra operations efficiently. To the best of our knowledge, Nancy is the only open-source library that implements…

网络与互联网体系结构 · 计算机科学 2023-07-10 Raffaele Zippo , Giovanni Stea

We describe a new method for the automated construction of one-loop amplitudes based on the open-loop algorithm, where various operations are performed on-the-fly while constructing the integrand. In particular, an on-the-fly reduction…

高能物理 - 唯象学 · 物理学 2018-01-12 Federico Buccioni , Stefano Pozzorini , Max Zoller

We present the algorithms for three popular methods: F-expansion, modified F-expansion, and first integral methods to automatically get closed-form traveling-wave solutions of nonlinear partial differential equations (NLPDEs). We generalize…

计算物理 · 物理学 2023-04-18 Mithun Bairagi

The unitarity method for calculating one-loop amplitudes provides algorithms of polynomial complexity. This is primarily beneficial for the computation of multi-leg one loop amplitudes and it is therefore of great interest to develop a…

高能物理 - 唯象学 · 物理学 2009-04-14 R. Keith Ellis , Walter T. Giele , Zoltan Kunszt

We present SIRENA, a Python and C++ implementation of the Laporta algorithm for the automatic reduction of multi-loop sum-integrals via integration-by-parts identities. The method builds on established techniques for zero-temperature…

高能物理 - 唯象学 · 物理学 2026-05-11 Luis Gil , Javier López Miras , Adrián Moreno-Sánchez

We discuss recent progress towards extending the Helac framework to the calculation of two-loop amplitudes. A general algorithm for the automated computation of two-loop integrands is described. The algorithm covers all the steps of the…

高能物理 - 唯象学 · 物理学 2024-01-19 Giuseppe Bevilacqua , Dhimiter Canko , Costas Papadopoulos

In these proceedings we report our progress in the development of the publicly available C++ library NJet for accurate calculations of high-multiplicity one-loop amplitudes. As a phenomenological application we present the first complete…

高能物理 - 唯象学 · 物理学 2015-06-18 Simon Badger , Benedikt Biedermann , Peter Uwer , Valery Yundin

Loop calculations involve the evaluation of divergent integrals. Usually [1] one computes them in a number of dimensions different than four where the integral is convergent and then one performs the analytical continuation and considers…

高能物理 - 唯象学 · 物理学 2009-10-31 Francesco Caravaglios
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