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dc.contributor.authorCriado, Juan Carlos
dc.date.accessioned2020-04-23T11:50:24Z
dc.date.available2020-04-23T11:50:24Z
dc.date.issued2019-03-21
dc.identifier.citationCriado, J.C. BasisGen: automatic generation of operator bases. Eur. Phys. J. C 79, 256 (2019). [https://doi.org/10.1140/epjc/s10052-019-6769-5]
dc.identifier.urihttp://hdl.handle.net/10481/61530
dc.description.abstractBasisGen is a Python package for the automatic generation of bases of operators in effective field theories. It accepts any semisimple symmetry group and fields in any of its finite dimensional irreducible representations. It takes into account integration by parts redundancy and, optionally, the use of equations of motion. The implementation is based on well-known methods to generate and decompose representations using roots and weights, which allow for fast calculations, even with large numbers of fields and high-dimensional operators. BasisGen can also be used to do some representation-theoretic operations, such as finding the weight system of an irreducible representation from its highest weight or decomposing a tensor product of representations.es_ES
dc.description.sponsorshipThis work has been supported by the Spanish MINECO project FPA2016-78220-C3-1-P (Fondos FEDER), the Junta de Andalucía Grant FQM101 and the Spanish MECD Grant FPU14.es_ES
dc.language.isoenges_ES
dc.publisherSpringer Naturees_ES
dc.rightsAtribución 3.0 España*
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/*
dc.titleBasisGen: automatic generation of operator baseses_ES
dc.typejournal articlees_ES
dc.rights.accessRightsopen accesses_ES
dc.identifier.doi10.1140/epjc/s10052-019-6769-5


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Except where otherwise noted, this item's license is described as Atribución 3.0 España