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.

Export citation

Export citation

Choose format for download:

Download Citation
  • Open Access

Exploring top-quark signatures of heavy flavor-violating scalars at the LHC

Alexandre Alves1,2,*, Eduardo da Silva Almeida3,†, Alex G. Dias2, and Diego S. V. Gonçalves2,‡

  • *Contact author: aalves@unifesp.br
  • †Contact author: almeidae@ufba.br
  • ‡Contact author: diego.vieira@ufabc.edu.br

Phys. Rev. D 112, 075038 – Published 21 October, 2025

DOI: https://doi.org/10.1103/8kcm-wfpt

Abstract

In this work, we study flavor-violating scalars (flavons) in a range of large masses that have not been explored previously. We model the interactions with an effective field theory formulation where the flavon is heavier than the top quark. In addition, we assume that the flavon only couples to fermions of the standard model in a flavor-changing way, making it easier to escape experimental constraints. As the flavon couples strongly to top quarks, same-sign and opposite-sign top-quark pair signals can be explored in the search for those particles. We investigate the possibility of probing flavons through their interactions with a top quark plus up and charm quarks for effective couplings of order 10−2  TeV and masses in the ∼200–1400  GeV range in the 14 TeV LHC in scenarios with up to 3000/fb.

View figure in article

Physics Subject Headings (PhySH)

Article Text

References (33)

  1. C. D. Froggatt and H. B. Nielsen, Nucl. Phys. B147, 277 (1979).
  2. L. Di Luzio, M. Giannotti, E. Nardi, and L. Visinelli, Phys. Rep. 870, 1 (2020).
  3. J. Jaeckel and A. Ringwald, Annu. Rev. Nucl. Part. Sci. 60, 405 (2010).
  4. Y. Ema, K. Hamaguchi, T. Moroi, and K. Nakayama, J. High Energy Phys. 01 (2017) 096.
  5. F. Björkeroth, E. J. Chun, and S. F. King, J. High Energy Phys. 08 (2018) 117.
  6. M. Bauer, M. Neubert, S. Renner, M. Schnubel, and A. Thamm, J. High Energy Phys. 09 (2022) 056.
  7. Y. Jho, S. Knapen, and D. Redigolo, J. High Energy Phys. 10 (2022) 029.
  8. A. G. Dias, J. Leite, and D. S. V. Gonçalves, Phys. Rev. D 104, 075014 (2021).
  9. L. Di Luzio, F. Mescia, and E. Nardi, Phys. Rev. D 96, 075003 (2017).
  10. M. Bauer, M. Neubert, and A. Thamm, J. High Energy Phys. 12 (2017) 044.
  11. A. Hayrapetyan et al. (CMS Collaboration), Phys. Lett. B 850, 138478 (2024).
  12. W.-S. Hou and M. Kikuchi, Europhys. Lett. 123, 11001 (2018).
  13. G. Aad et al. (ATLAS Collaboration), J. High Energy Phys. 12 (2023) 081.
  14. S. Wahdan (ATLAS Collaboration), arXiv:2411.14026.
  15. P. Baldi, K. Cranmer, T. Faucett, P. Sadowski, and D. Whiteson, Eur. Phys. J. C 76, 235 (2016).
  16. L. Anzalone, T. Diotalevi, and D. Bonacorsi, Mach. Learn. Sci. Technol. 3, 035017 (2022).
  17. W. Esmail, A. Hammad, A. Jueid, and S. Moretti, arXiv:2405.16499.
  18. A. Alves, A. G. Dias, E. da Silva Almeida, and D. S. V. Gonçalves, Phys. Rev. D 109, 055013 (2024).
  19. C. Cornella, P. Paradisi, and O. Sumensari, J. High Energy Phys. 01 (2020) 158.
  20. J. Alwall, R. Frederix, S. Frixione, V. Hirschi, F. Maltoni, O. Mattelaer, H. S. Shao, T. Stelzer, P. Torrielli, and M. Zaro, J. High Energy Phys. 07 (2014) 079.
  21. R. Frederix, S. Frixione, V. Hirschi, D. Pagani, H. S. Shao, and M. Zaro, J. High Energy Phys. 07 (2018) 185; 11 (2021) 85.
  22. C. Degrande, C. Duhr, B. Fuks, D. Grellscheid, O. Mattelaer, and T. Reiter, Comput. Phys. Commun. 183, 1201 (2012).
  23. A. Alloul, N. D. Christensen, C. Degrande, C. Duhr, and B. Fuks, Comput. Phys. Commun. 185, 2250 (2014).
  24. C. Bierlich et al., SciPost Phys. Codebases 2022, 8 (2022).
  25. J. de Favereau, C. Delaere, P. Demin, A. Giammanco, V. Lemaître, A. Mertens, and M. Selvaggi (DELPHES 3 Collaboration), J. High Energy Phys. 02 (2014) 057.
  26. G. Cowan, K. Cranmer, E. Gross, and O. Vitells, Eur. Phys. J. C 71, 1554 (2011).
  27. A. Schwartz and M. Gersaback, Global fit for D0−D¯0 mixing (2023), https://hflav-eos.web.cern.ch/hflav-eos/charm/CKM23/results_mix_cpv.html.
  28. E. Golowich, J. Hewett, S. Pakvasa, and A. A. Petrov, Phys. Rev. D 76, 095009 (2007).
  29. A. Crivellin, A. Kokulu, and C. Greub, Phys. Rev. D 87, 094031 (2013).
  30. J. Bergstra, D. Yamins, and D. D. Cox, in Proceedings of the 30th International Conference on Machine Learning (PMLR, Georgia, USA, 2013), http://proceedings.mlr.press/v28/bergstra13.pdf.
  31. D. P. Kingma and J. Ba, arXiv:1412.6980.
  32. https://doi.org/10.5281/zenodo.16745102
  33. T. P. Cheng and M. Sher, Phys. Rev. D 35, 3484 (1987).

Outline

Information

Sign In to Your Journals Account

Filter

Filter

Article Lookup

Enter a citation