https://doi.org/10.1140/epjp/s13360-026-07673-x
Regular Article
Probing vector- versus scalar-mediator dark-matter scenarios in
decays
1
D. V. Skobeltsyn Institute of Nuclear Physics, M. V. Lomonosov Moscow State University, 119991, Moscow, Russia
2
Institute of High Energy Physics, Austrian Academy of Sciences, Nikolsdorfergasse 18, 1050, Vienna, Austria
3
Marietta Blau Institute (MBI) for Particle Physics, Austrian Academy of Sciences, Dominikanerbastei 16, 1010, Vienna, Austria
4
Joint Institute for Nuclear Research, 141980, Dubna, Russia
5
Faculty of Physics, University of Vienna, Boltzmanngasse 5, 1090, Vienna, Austria
a
This email address is being protected from spambots. You need JavaScript enabled to view it.
Received:
16
January
2026
Accepted:
9
April
2026
Published online:
4
May
2026
Abstract
Within the hypothesis of the dark-matter (DM) origin of the excess in
decays over the standard-model expectation, observed by Belle II, we report the following results: (i) Combining the available data on the integrated decay rates
and the upper limit on the integrated decay rates
provides a tight constraint on the vector-mediator mass
GeV, whereas no constraints on the scalar-mediator mass are imposed by these data. (ii) Both scalar- and vector-mediator scenarios allow for a good description of the differential distributions in
measured by Belle II and an extraction of dark-model parameters within both scenarios. Previously, for the scalar-mediator scenario, we extracted the scalar-mediator parameters
GeV,
GeV, and the DM fermion mass
GeV. We now extract the parameters for the vector-mediator scenario:
GeV,
GeV, and
GeV. (iii) In view of a nice description of the Belle II data in scalar- and vector-mediator scenarios, one faces the problem of discriminating between these scenarios. We propose a novel clear measurable signature to discriminate between two DM scenarios: The ratio of the differential distributions in
and
decays is shown to have qualitatively different shapes for scalar- and vector-mediator scenarios.
© The Author(s) 2026
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

