Search for gamma-ray spectral lines from dark-matter annihilation with the DAMPE satellite

The annihilation of dark-matter particles may lead to the production of monochromatic gamma-ray emission. In this contribution, the search for spectral lines in the gamma-ray spectrum, using eight years of data collected with the space-borne Dark Matter Particle Explorer is presented. To improve the event selection, two machine-learning algorithms were developed and proved to outperform all the standard methods. No line signal was found between 5 GeV and 280 GeV in the considered region of interest. The constraints on the velocity-averaged cross section of the neutralino was estimated for the Einasto dark-matter density profile and compared to the one obtained with Fermi-LAT and H.E.S.S. data.

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Publication Details

Journal
Springer Link (Chiba Institute of Technology)
Published
2025-03-06
DOI
https://doi.org/10.1051/epjconf/202531911001/pdf
Primary Topic
Dark Matter and Cosmic Phenomena
Type
article
Field-Weighted Citation Impact
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article

Search for gamma-ray spectral lines from dark-matter annihilation with the DAMPE satellite

Jennifer Maria Frieden
Springer Link (Chiba Institute of Technology)
Dark Matter and Cosmic Phenomena
article

Search for gamma-ray spectral lines from dark-matter annihilation with the DAMPE satellite

Jennifer Maria Frieden
article en

Abstract

The annihilation of dark-matter particles may lead to the production of monochromatic gamma-ray emission. In this contribution, the search for spectral lines in the gamma-ray spectrum, using eight years of data collected with the space-borne Dark Matter Particle Explorer is presented. To improve the event selection, two machine-learning algorithms were developed and proved to outperform all the standard methods. No line signal was found between 5 GeV and 280 GeV in the considered region of interest. The constraints on the velocity-averaged cross section of the neutralino was estimated for the Einasto dark-matter density profile and compared to the one obtained with Fermi-LAT and H.E.S.S. data.

Springer Link (Chiba Institute of Technology)
Openalex Percentile: Top 18%
Dark Matter and Cosmic Phenomena
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