Two-loop Prediction of the Anomalous Magnetic Moment of the Muon in the Two-Higgs Doublet Model with GM2Calc 2
Peter Athron, Csaba Balazs, Adriano Cherchiglia, Douglas H.J. Jacob,, Dominik St\"ockinger, Hyejung St\"ockinger-Kim, Alexander Voigt

TL;DR
This paper introduces GM2Calc 2, an advanced software tool that calculates the muon anomalous magnetic moment in the Two-Higgs Doublet Model, incorporating two-loop corrections for more accurate predictions.
Contribution
The paper presents an extension of GM2Calc to include comprehensive two-loop calculations for various Two-Higgs Doublet Model variants, enhancing precision in muon g-2 predictions.
Findings
Implemented state-of-the-art two-loop calculations
Supported multiple Two-Higgs Doublet Model variants
Provided user-friendly interfaces in multiple programming languages
Abstract
We present an extension of the GM2Calc software to calculate the muon anomalous magnetic moment () in the Two-Higgs Doublet Model. The Two-Higgs Doublet Model is one of the simplest and most popular extensions of the Standard Model. It is one of the few single field extensions that can give large contributions to . It is essential to include two-loop corrections to explain the long standing discrepancy between the Standard Model prediction and the experimental measurement in the Two-Higgs Doublet Model. The new version GM2Calc 2 implements the state of the art two-loop calculation for the general, flavour violating Two-Higgs Doublet Model as well as for the flavour aligned Two-Higgs Doublet Model and the type I, II, X and Y flavour conserving variants. Input parameters can be provided in either the gauge basis or the mass basis, and we provide an…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Code & Models
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsComputational Physics and Python Applications · Particle physics theoretical and experimental studies · Neutrino Physics Research
