Muon-electron scattering at NNLO

Broggio, A.; Engel, T.; Ferroglia, A.; Mandal, M.K.; Mastrolia, P.; Rocco, M.; Ronca, J.; Signer, A.; Torres Bobadilla, W.J.; Ulrich, Y.; Zoller, M.

Abstract

We present the first calculation of the complete set of NNLO QED corrections for muon-electron scattering. This includes leptonic, non-perturbative hadronic, and photonic contributions. All fermionic corrections as well as the photonic subset that only corrects the electron or the muon line are included with full mass dependence. The genuine four-point two-loop topologies are computed as an expansion in the small electron mass, taking into account both, logarithmically enhanced as well as constant mass effects using massification. A fast and stable implementation of the numerically delicate real-virtual contribution is achieved by combining OPENLOOPS with next-to-soft stabilisation. All matrix elements are implemented in the MCMULE framework, which allows for the fully-differential calculation of any infrared-safe observable. This calculation is to be viewed in the context of the MUonE experiment requiring a background prediction at the level of 10 ppm. Our results thus represent a major milestone towards this ambitious precision goal.

Citation

Broggio, A., Engel, T., Ferroglia, A., Mandal, M., Mastrolia, P., Rocco, M., Ronca, J., Signer, A., Torres Bobadilla, W., Ulrich, Y., & Zoller, M. (2023). Muon-electron scattering at NNLO. Journal of High Energy Physics, 2023, Article 112 (2023). https://doi.org/10.1007/jhep01%282023%29112

• Journal Article Type: Article
• Acceptance Date: Jan 3, 2023
• Online Publication Date: Jan 20, 2023
• Publication Date: 2023
• Deposit Date: Apr 18, 2023
• Publicly Available Date: Apr 18, 2023
• Journal: Journal of High Energy Physics
• Print ISSN: 1126-6708
• Publisher: Scuola Internazionale Superiore di Studi Avanzati (SISSA)
• Peer Reviewed: Peer Reviewed
• Volume: 2023
• Article Number: 112 (2023)
• DOI: https://doi.org/10.1007/jhep01%282023%29112
• Public URL: https://durham-repository.worktribe.com/output/1176864