Study muon g-2 at two-loop level in the $U(1)_X$SSM
Shu-Min Zhao, Lu-Hao Su, Xing-Xing Dong, Tong-Tong Wang, Tai-Fu Feng

TL;DR
This paper investigates the muon g-2 anomaly within the $U(1)_X$SSM model, calculating electroweak two-loop corrections involving supersymmetric particles to explain the observed deviation from the standard model.
Contribution
It provides a detailed calculation of two-loop electroweak corrections in the $U(1)_X$SSM, including Barr-Zee, rainbow, and diamond diagrams, to account for muon g-2.
Findings
Two-loop corrections can reach $25\times 10^{-10}$ or more.
Supersymmetric particles contribute significantly to the muon g-2.
Results support the viability of $U(1)_X$SSM in explaining the anomaly.
Abstract
The new experiment data of muon g-2 is reported by the workers at Fermilab National Accelerator Laboratory(FNAL). Combined with the previous Brookhaven National Laboratory(BNL) E821 result, the departure from the standard model prediction is about 4.2 . It strengthens our faith in the new physics. SSM is the U(1) extension of the minimal supersymmetric standard model, where we study the electroweak corrections to the anomalous magnetic dipole moment of muon from the one-loop diagrams and some two-loop diagrams possessing important contributions. These two-loop diagrams include Barr-Zee type, rainbow type and diamond type. The virtual supersymmetric particles in these two-loop diagrams are chargino, scalar neutrino, neutralino, scalar lepton, which are supposed not very heavy to make relatively large corrections. We obtain the Wilson coefficients of the dimension 6…
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.
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
