Higher-order tree-level amplitudes in the nonlinear sigma model

Abstract We present a generalisation of the flavour-ordering method applied to the chiral nonlinear sigma model with any number of flavours. We use an extended Lagrangian with terms containing any number of derivatives, organised in a power-counting hierarchy. The method allows diagrammatic computat...

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Main Authors: Johan Bijnens, Karol Kampf, Mattias Sjö
Format: Article
Language:English
Published: SpringerOpen 2019-11-01
Series:Journal of High Energy Physics
Subjects:
Online Access:http://link.springer.com/article/10.1007/JHEP11(2019)074
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spelling doaj-f4c397bede7a418987e289e1ffca10652020-11-25T04:05:09ZengSpringerOpenJournal of High Energy Physics1029-84792019-11-0120191114610.1007/JHEP11(2019)074Higher-order tree-level amplitudes in the nonlinear sigma modelJohan Bijnens0Karol Kampf1Mattias Sjö2Department of Astronomy and Theoretical Physics, Lund UniversityInstitute of Particle and Nuclear Physics, Charles UniversityDepartment of Astronomy and Theoretical Physics, Lund UniversityAbstract We present a generalisation of the flavour-ordering method applied to the chiral nonlinear sigma model with any number of flavours. We use an extended Lagrangian with terms containing any number of derivatives, organised in a power-counting hierarchy. The method allows diagrammatic computations at tree-level with any number of legs at any order in the power-counting. Using an automated implementation of the method, we calculate amplitudes ranging from 12 legs at leading order, O $$ \mathcal{O} $$ (p 2), to 6 legs at next-to- next-to-next-to-leading order, O $$ \mathcal{O} $$ (p 8). In addition to this, we generalise several properties of amplitudes in the nonlinear sigma model to higher orders. These include the double soft limit and the uniqueness of stripped amplitudes.http://link.springer.com/article/10.1007/JHEP11(2019)074Chiral LagrangiansEffective Field TheoriesScattering AmplitudesSpon- taneous Symmetry Breaking
collection DOAJ
language English
format Article
sources DOAJ
author Johan Bijnens
Karol Kampf
Mattias Sjö
spellingShingle Johan Bijnens
Karol Kampf
Mattias Sjö
Higher-order tree-level amplitudes in the nonlinear sigma model
Journal of High Energy Physics
Chiral Lagrangians
Effective Field Theories
Scattering Amplitudes
Spon- taneous Symmetry Breaking
author_facet Johan Bijnens
Karol Kampf
Mattias Sjö
author_sort Johan Bijnens
title Higher-order tree-level amplitudes in the nonlinear sigma model
title_short Higher-order tree-level amplitudes in the nonlinear sigma model
title_full Higher-order tree-level amplitudes in the nonlinear sigma model
title_fullStr Higher-order tree-level amplitudes in the nonlinear sigma model
title_full_unstemmed Higher-order tree-level amplitudes in the nonlinear sigma model
title_sort higher-order tree-level amplitudes in the nonlinear sigma model
publisher SpringerOpen
series Journal of High Energy Physics
issn 1029-8479
publishDate 2019-11-01
description Abstract We present a generalisation of the flavour-ordering method applied to the chiral nonlinear sigma model with any number of flavours. We use an extended Lagrangian with terms containing any number of derivatives, organised in a power-counting hierarchy. The method allows diagrammatic computations at tree-level with any number of legs at any order in the power-counting. Using an automated implementation of the method, we calculate amplitudes ranging from 12 legs at leading order, O $$ \mathcal{O} $$ (p 2), to 6 legs at next-to- next-to-next-to-leading order, O $$ \mathcal{O} $$ (p 8). In addition to this, we generalise several properties of amplitudes in the nonlinear sigma model to higher orders. These include the double soft limit and the uniqueness of stripped amplitudes.
topic Chiral Lagrangians
Effective Field Theories
Scattering Amplitudes
Spon- taneous Symmetry Breaking
url http://link.springer.com/article/10.1007/JHEP11(2019)074
work_keys_str_mv AT johanbijnens higherordertreelevelamplitudesinthenonlinearsigmamodel
AT karolkampf higherordertreelevelamplitudesinthenonlinearsigmamodel
AT mattiassjo higherordertreelevelamplitudesinthenonlinearsigmamodel
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