BasisGen: automatic generation of operator bases
arXiv:1901.03501 · doi:10.1140/epjc/s10052-019-6769-5
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 in 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.
12 pages
References in corpus (8)
- Effects of new leptons in Electroweak Precision Data
- A minimal set of top-Higgs anomalous couplings
- Operator bases, -matrices, and their partition functions
- Hilbert Series for Constructing Lagrangians: expanding the phenomenologist's toolbox
- Observable Effects of General New Scalar Particles
- Deciphering top flavor violation at the LHC with B factories
- Introducing LambdaTensor1.0 - A package for explicit symbolic and numeric Lie algebra and Lie group calculations
- CleGo: A package for automated computation of Clebsch-Gordan coefficients in Tensor Product Representations for Lie Algebras A - G