Speaker
Description
Effective Field Theories (EFTs) are an indispensable framework for capturing the low-energy effects of heavy new physics. While powerful tools like basisgen use Hilbert series methods to elegantly enumerate the exact number of independent operators at a given mass dimension, constructing their explicit tensor forms remains a highly non-trivial and often manual task. This bottleneck complicates the systematic matching of UV models and the extraction of physical observables. In this talk, I will present ongoing work on a new Python-based computational framework designed as a comprehensive extension to basisgen. Rather than solely calculating operator redundancies, this upgraded tool algorithmically generates the explicit tensor structures required to construct both a complete Green's basis and a minimal physical basis. I will discuss the core methodology of the Python package, demonstrate its application to standard EFTs, and outline its potential by fully automating the basis-generation process up to an arbitrary mass-dimension.