论文标题
squeli- smeft的可能性
smelli -- the SMEFT Likelihood
论文作者
论文摘要
我介绍了在标准模型有效野外理论（SMEFT）中的二维六六六六六六六六六六六六六六角函数的Python软件包的气味。可能性包括大量风味和其他精确可观察物的贡献，目前总共有399个。
I present the Python package smelli that implements a global likelihood function in the space of dimension-six Wilson coefficients in the Standard Model Effective Field Theory (SMEFT). The likelihood includes contributions from a large number of flavor and other precision observables, currently 399 in total.
