Exploring Dark Matter in Galaxy Clusters with MeerKAT: South Africa's powerful radio telescope at the forefront of astronomy

Current radio interferometers offer unprecedented sensitivity for detecting faint signals from Weakly Interacting Massive Particles (WIMPs). Focusing on MeerKAT—a Square Kilometre Array (SKA) precursor with world-leading capabilities in the southern hemisphere—we probe galaxy clusters as prime WIMP detection candidates. This work demonstrates the feasibility of using processed images rather than raw visibility data to constrain the dark matter parameter space, using galaxy cluster MCXCJ0317.9-4414 as a test case (from the MeerKAT Galaxy Cluster Legacy Survey). We establish that image-based analysis yields comparable limits while significantly reducing computational demands. This approach addresses the escalating computational challenges posed by next-generation instruments such as the SKA, where large data volumes demand more efficient analysis and interpretation strategies.

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Publication Details

Published
2025-09-24
DOI
https://doi.org/10.22323/1.501.0501
Primary Topic
History and Developments in Astronomy
Type
article
Field-Weighted Citation Impact
0.00

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article

Exploring Dark Matter in Galaxy Clusters with MeerKAT: South Africa's powerful radio telescope at the forefront of astronomy

Natasha Lavis, Geoffrey Beck
History and Developments in Astronomy
article

Exploring Dark Matter in Galaxy Clusters with MeerKAT: South Africa's powerful radio telescope at the forefront of astronomy

Natasha Lavis, Geoffrey Beck
article en

Abstract

Current radio interferometers offer unprecedented sensitivity for detecting faint signals from Weakly Interacting Massive Particles (WIMPs). Focusing on MeerKAT—a Square Kilometre Array (SKA) precursor with world-leading capabilities in the southern hemisphere—we probe galaxy clusters as prime WIMP detection candidates. This work demonstrates the feasibility of using processed images rather than raw visibility data to constrain the dark matter parameter space, using galaxy cluster MCXCJ0317.9-4414 as a test case (from the MeerKAT Galaxy Cluster Legacy Survey). We establish that image-based analysis yields comparable limits while significantly reducing computational demands. This approach addresses the escalating computational challenges posed by next-generation instruments such as the SKA, where large data volumes demand more efficient analysis and interpretation strategies.

National Research Foundation, University of Pretoria, University of the Western Cape, Universiteit Stellenbosch, Cape Peninsula University of Technology, University of Cape Town
Openalex Percentile: Top 82%
History and Developments in Astronomy
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