Radio-frequency WIMP search with the MeerKAT galaxy cluster legacy survey

Lavis, Natasha; Sarkis, Michael; Beck, Geoff; Knowles, Kenda

doi:10.1103/physrevd.108.123536

Cited by 3 publications

(2 citation statements)

References 85 publications

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“…Recent studies using radio data of galaxies and galaxy clusters can constrain the dark matter annihilation parameters, such as the lower limits of dark matter mass and the upper limits of annihilation cross section for different annihilation channels (Colafrancesco et al 2006;Egorov & Pierpaoli 2013;Storm et al 2013;Chan 2016;Chan et al 2019;Regis et al 2021;Lavis et al 2023). If dark matter particles can self-annihilate, they could give high-energy electrons, positrons, photons, and neutrinos.…”

Section: Introductionmentioning

confidence: 99%

“…In particular, the high-energy electrons and positrons can produce synchrotron radiation in radio bands when they are moving inside the magnetic field of a galaxy or a galaxy cluster. The underlying physics is well-known and this indirect method of dark matter detection has been applied for almost two decades (Colafrancesco et al 2006;Chan et al 2019;Lavis et al 2023).…”

Section: Introductionmentioning

confidence: 99%

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Constraining Annihilating Dark Matter Using the Multifrequency Radio Flux Profiles of the M33 Galaxy

Chan,

Lee,

Cui

et al. 2024

ApJ

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Radio data can give stringent constraints for annihilating dark matter. In general, radio observations can detect very accurate radio flux density with high resolution and different frequencies for nearby galaxies. We are able to obtain the radio flux density as a function of distance from the galactic center and frequencies S(r, ν). In this article, we demonstrate a comprehensive radio analysis of the M33 galaxy, combining the radio flux density profile S(r) and the frequency spectrum S(ν) to get the constraints of dark matter annihilation parameters. By analyzing the archival radio data obtained from the Effelsberg telescope, we show that the dark matter annihilation contributing to the radio flux density might be insignificant in the disk region of the M33 galaxy. Moreover, by including the baryonic radio contribution, we constrain the 2σ conservative upper limits of the annihilation cross section, which can be complementary to the existing constraints based on neutrino, cosmic-ray, and gamma-ray observations. Our results indicate that analyzing the galactic multifrequency radio flux profiles can give useful and authentic constraints on dark matter for the leptophilic annihilation channels.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Constraining Annihilating Dark Matter Using the Multifrequency Radio Flux Profiles of the M33 Galaxy

Chan,

Lee,

Cui

et al. 2024

ApJ

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DarkMatters: A powerful tool for WIMPy analysis

Sarkis,

Beck

2025

Physics of the Dark Universe

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Identifying dark matter signals by the radio continuum spectral data of the cool-core cluster RX J1720.1+2638

Chan,

Lee

2024

Monthly Notices of the Royal Astronomical Society

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Investigating the signals of dark matter annihilation is one of the most popular ways to understand the nature of dark matter. In particular, many recent studies are focussing on using radio data to examine the possible signals of dark matter revealed in galaxies and galaxy clusters. In this article, we investigate on the spectral data of the central radio halo of the cool-core cluster RX J1720.1+2638. We show that the radio spectral data can be best accounted by the synchrotron emission due to dark matter annihilation via τ lepton channel (with dark matter mass m = 15 GeV) or b quark channel (with dark matter mass m = 110 GeV), although using the very coarse spectral data with notable errors. Despite the fact that cosmic-ray emission can also provide a good explanation for the observed radio spectrum, our results suggest a possible positive evidence for dark matter annihilation revealed in the form of radio emission in RX J1720.1+2638 cluster.

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Radio-frequency WIMP search with the MeerKAT galaxy cluster legacy survey

Cited by 3 publications

References 85 publications

Constraining Annihilating Dark Matter Using the Multifrequency Radio Flux Profiles of the M33 Galaxy

Constraining Annihilating Dark Matter Using the Multifrequency Radio Flux Profiles of the M33 Galaxy

DarkMatters: A powerful tool for WIMPy analysis

Identifying dark matter signals by the radio continuum spectral data of the cool-core cluster RX J1720.1+2638

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