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EOS: a software for flavor physics phenomenology

Danny van Dyk, Frederik Beaujean, T. Blake, Christoph Bobeth, Marzia Bordone, K. Dugic, Eike Eberhard, Nico Gubernari, E. Graverini, Martin Jung, Ahmet Kokulu, Stephan Kürten, Domagoj Leljak, P. Lüghausen, Stefan Meiser, Mansour Rahimi, M. Reboud, R. Silva Coutinho, Javier Virto, K. Vos, The EOS Authors

2022The European Physical Journal C59 citationsDOIOpen Access PDF

Abstract

Abstract is an open-source software for a variety of computational tasks in flavor physics. Its use cases include theory predictions within and beyond the Standard Model of particle physics, Bayesian inference of theory parameters from experimental and theoretical likelihoods, and simulation of pseudo events for a number of signal processes. ensures high-performance computations through a back-end and ease of usability through a front-end. To achieve this flexibility, enables the user to select from a variety of implementations of the relevant decay processes and hadronic matrix elements at run time. In this article, we describe the general structure of the software framework and provide basic examples. Further details and in-depth interactive examples are provided as part of the online documentation.

Topics & Concepts

Python (programming language)SoftwareComputationVariety (cybernetics)Computer scienceUsabilityParticle physicsImplementationPhysics beyond the Standard ModelPhenomenology (philosophy)InferenceComputational scienceTheoretical computer sciencePhysicsSoftware engineeringProgramming languageArtificial intelligenceHuman–computer interactionEpistemologyPhilosophyParticle physics theoretical and experimental studiesQuantum Chromodynamics and Particle InteractionsHigh-Energy Particle Collisions Research
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