• Open Access

Semivisible dark photon in a model with vectorlike leptons for the (g2)e,μ and W-boson mass anomalies

Waleed Abdallah, Mustafa Ashry, Junichiro Kawamura, and Ahmad Moursy
Phys. Rev. D 109, 015031 – Published 31 January 2024

Abstract

We propose a model that realizes a semivisible dark photon which can contribute to the anomalous magnetic moment (g2) of both electron and muon. In this model, the electron g2 is deviated from the Standard Model (SM) prediction by the 1-loop diagrams involving the vectorlike leptons, while that of muon is deviated due to a nonvanishing gauge kinetic mixing with photons. We also argue that the W-boson mass can be deviated from the SM prediction due to the vectorlike lepton loops, so that the value obtained by the CDF II experiment can be explained. Thus, this model simultaneously explains the recent three anomalies in g2 of electron and muon as well as the W-boson mass. The constraints on the O(1)GeV dark photon can be avoided because of the semivisible decay of the dark photon, A2N2ν2χ2ν4e, where N is a SM singlet vectorlike neutrino and χ is a CP-even Higgs boson of the U(1) gauge symmetry.

  • Figure
  • Figure
  • Figure
  • Figure
  • Received 25 August 2023
  • Accepted 9 January 2024

DOI:https://doi.org/10.1103/PhysRevD.109.015031

Published by the American Physical Society under the terms of the Creative Commons Attribution 4.0 International license. Further distribution of this work must maintain attribution to the author(s) and the published article’s title, journal citation, and DOI. Funded by SCOAP3.

Published by the American Physical Society

Physics Subject Headings (PhySH)

Particles & Fields

Authors & Affiliations

Waleed Abdallah1,*, Mustafa Ashry1,†, Junichiro Kawamura2,‡, and Ahmad Moursy3,§

  • 1Department of Mathematics, Faculty of Science, Cairo University, Giza 12613, Egypt
  • 2Center for Theoretical Physics of the Universe, Institute for Basic Science (IBS), Daejeon 34051, Korea
  • 3Department of Basic Sciences, Faculty of Computers and Artificial Intelligence, Cairo University, Giza 12613, Egypt

  • *awaleed@sci.cu.edu.eg
  • mustafa@sci.cu.edu.eg
  • junkmura13@gmail.com
  • §a.moursy@fci-cu.edu.eg

Article Text

Click to Expand

References

Click to Expand
Issue

Vol. 109, Iss. 1 — 1 January 2024

Reuse & Permissions
Author publication services for translation and copyediting assistance advertisement

Authorization Required


×
×

Images

×

Sign up to receive regular email alerts from Physical Review D

Reuse & Permissions

It is not necessary to obtain permission to reuse this article or its components as it is available under the terms of the Creative Commons Attribution 4.0 International license. This license permits unrestricted use, distribution, and reproduction in any medium, provided attribution to the author(s) and the published article's title, journal citation, and DOI are maintained. Please note that some figures may have been included with permission from other third parties. It is your responsibility to obtain the proper permission from the rights holder directly for these figures.

×

Log In

Cancel
×

Search


Article Lookup

Paste a citation or DOI

Enter a citation
×