Lilith: a tool for constraining new physics from Higgs measurements

TL;DR

Lilith is a Python tool that uses Higgs signal strength measurements from collider experiments to constrain new physics models, facilitating compatibility assessments with experimental data.

Contribution

Introduces Lilith, a versatile, publicly available software for evaluating Higgs data against new physics scenarios using an extensible database and XML-based input.

Findings

Enables efficient constraints on new physics models.

Supports various programming languages including Python, C, and C++/ROOT.

Provides a user-friendly interface for Higgs data analysis.

Abstract

The properties of the observed Higgs boson with mass around 125 GeV can be affected in a variety of ways by new physics beyond the Standard Model (SM). The wealth of experimental results, targeting the different combinations for the production and decay of a Higgs boson, makes it a non-trivial task to assess the compatibility of a non-SM-like Higgs boson with all available results. In this paper we present Lilith, a new public tool for constraining new physics from signal strength measurements performed at the LHC and the Tevatron. Lilith is a Python library that can also be used in C and C++/ROOT programs. The Higgs likelihood is based on experimental results stored in an easily extensible XML database, and is evaluated from the user input, given in XML format in terms of reduced couplings or signal strengths. The results of Lilith can be used to constrain a wide class of new physics scenarios.