Lilith is a public Python library for constraining new physics from Higgs signal strength measurements. We here present version 2.0 of Lilith together with an updated XML database which includes the current ATLAS and CMS Run 2 Higgs results for 36 fb −1 . Both the code and the database were extended from the ordinary Gaussian approximation employed in Lilith-1.1 to using variable Gaussian and Poisson likelihoods. Moreover, Lilith can now make use of correlation matrices of arbitrary dimension. We provide detailed validations of the implemented experimental results as well as a status of global fits for reduced Higgs couplings, Two-Higgs-doublet models of Type I and Type II, and invisible Higgs decays. Lilith-2.0 is available on GitHub and ready to be used to constrain a wide class of new physics scenarios.
arXiv:1908.03952v2 [hep-ph] 4 Oct 20191 For a discussion of the use and usability of signal strength results, and recommendations on their presentation, see [3].2 When µ(X, Y ) is not directly available, µ = effX,Y × µ(X, Y ) is used, introducing appropriate efficiency factors effX,Y . For inclusive combinations of production channels for the same Y , the efficiencies become effX = σ SM (X)/ σ SM (X).3 In other words, the Lagrangian has the same tensor structure as the SM, see e.g. the discussion in [3].