PIRSA:24010089

On the cosmology and terrestrial signals of sexaquark dark matter

APA

Moore, M. (2024). On the cosmology and terrestrial signals of sexaquark dark matter. Perimeter Institute for Theoretical Physics. https://pirsa.org/24010089

MLA

Moore, Marianne. On the cosmology and terrestrial signals of sexaquark dark matter. Perimeter Institute for Theoretical Physics, Jan. 23, 2024, https://pirsa.org/24010089

BibTex

          @misc{ scivideos_PIRSA:24010089,
            doi = {10.48660/24010089},
            url = {https://pirsa.org/24010089},
            author = {Moore, Marianne},
            keywords = {Particle Physics},
            language = {en},
            title = {On the cosmology and terrestrial signals of sexaquark dark matter},
            publisher = {Perimeter Institute for Theoretical Physics},
            year = {2024},
            month = {jan},
            note = {PIRSA:24010089 see, \url{https://scivideos.org/index.php/pirsa/24010089}}
          }
          

Marianne Moore Massachusetts Institute of Technology (MIT)

Talk numberPIRSA:24010089
Source RepositoryPIRSA
Collection

Abstract

The sexaquark, a hypothetical stable and neutral six-quark state, has been recently proposed as a dark matter candidate. Here, I argue it is very unlikely sexaquarks could consistently compose more than a billionth of the dark matter abundance for a wide range of scattering cross sections and annihilation rates. To draw these conclusions, I will connect several topics, including the sexaquark freeze-out abundance, dark matter direct detection constraints, neutrino experiments, and accumulation mechanisms for sexaquarks in the Earth. I will show how the sexaquark cosmology enforces that a large contribution to dark matter is only possible with a similarly large antisexaquark population. This population, however, would leave a stark annihilation signal in a detector such as Super-Kamiokande. I will summarize with how sexaquarks as a large component of the dark matter is incompatible with current observational data.

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