EOS -- A Software for Flavor Physics Phenomenology

TL;DR

EOS is an open-source C++ and Python software designed for flavor physics, enabling theoretical predictions, parameter inference, and Monte Carlo simulations to support research and sensitivity analyses.

Contribution

It introduces a versatile software tool that integrates multiple tasks in flavor physics, enhancing computational efficiency and accessibility for researchers.

Findings

Provides accurate theoretical predictions for flavor observables.

Enables inference of theoretical parameters from likelihood databases.

Generates Monte Carlo samples for sensitivity studies.

Abstract

I present EOS, an open-source software dedicated to a variety of tasks in the processing of flavor physics observables. EOS is written in C++ and offers both a C++ and a Python interface. It is developed for three main tasks, the production of theoretical predictions for flavor physics observables; the inference of theoretical parameters from an extensible database of likelihoods; and the production of Monte Carlo samples of flavor processes for sensitivity studies.