| dc.contributor.author | Criado, Juan Carlos | |
| dc.date.accessioned | 2020-04-23T11:50:24Z | |
| dc.date.available | 2020-04-23T11:50:24Z | |
| dc.date.issued | 2019-03-21 | |
| dc.identifier.citation | Criado, 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.uri | http://hdl.handle.net/10481/61530 | |
| dc.description.abstract | BasisGen 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.sponsorship | This 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.iso | eng | es_ES |
| dc.publisher | Springer Nature | es_ES |
| dc.rights | Atribución 3.0 España | * |
| dc.rights.uri | http://creativecommons.org/licenses/by/3.0/es/ | * |
| dc.title | BasisGen: automatic generation of operator bases | es_ES |
| dc.type | journal article | es_ES |
| dc.rights.accessRights | open access | es_ES |
| dc.identifier.doi | 10.1140/epjc/s10052-019-6769-5 | |