On the Issue of Detection of Dark Matter Particles

Analyzing the spectra of ultrahigh-energy cosmic rays (photons), confirmation of the existence of new particles—the X17 and X38 bosons, with masses of 17 and 38 MeV, respectively, has been found. These particles are not included in the Standard Model. They were discovered earlier in experiments on accelerators. In the present paper, the thermodynamic approach is applied to obtain independent confirmation of the existence of these particles, which are candidates for the role of dark matter particles.

Authors

Institutions

Publication Details

Journal
Moscow University Physics Bulletin
Published
2024-12-01
DOI
https://doi.org/10.3103/s0027134924701200
Citations
2
Primary Topic
Dark Matter and Cosmic Phenomena
Type
article
Field-Weighted Citation Impact
1.32
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

On the Issue of Detection of Dark Matter Particles

A. T. D’yachenko
2 citations
Moscow University Physics Bulletin
Dark Matter and Cosmic Phenomena
1.32
article

On the Issue of Detection of Dark Matter Particles

A. T. D’yachenko
article en
2 citations

Abstract

Analyzing the spectra of ultrahigh-energy cosmic rays (photons), confirmation of the existence of new particles—the X17 and X38 bosons, with masses of 17 and 38 MeV, respectively, has been found. These particles are not included in the Standard Model. They were discovered earlier in experiments on accelerators. In the present paper, the thermodynamic approach is applied to obtain independent confirmation of the existence of these particles, which are candidates for the role of dark matter particles.

Moscow University Physics BulletinVol. 79(S1)
Petersburg Nuclear Physics Institute (RU), Petersburg State Transport University (RU)
Openalex Percentile: Top 10%
Dark Matter and Cosmic Phenomena
1.32
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.