Constraints on Spin-Dependent Dark Matter Scattering with Long-Lived Mediators from TeV Observations of the Sun with HAWC
A. Albert, R. Alfaro, C. Alvarez, R. Arceo, J.C. Arteaga-Vel\'azquez,, D. Avila Rojas, H.A. Ayala Solares, E. Belmont-Moreno, S.Y. BenZvi, C., Brisbois, K.S. Caballero-Mora, T. Capistr\`an, A. Carrami\~nana, S. Casanova,, M. Castillo, J. Cotzomi, S. Couti\~no de Le\'on

TL;DR
This paper uses three years of HAWC gamma-ray data to set new, stringent limits on spin-dependent dark matter interactions with the Sun, especially for masses above 1 TeV, surpassing direct detection bounds.
Contribution
It provides novel constraints on TeV-scale dark matter spin-dependent scattering cross sections using gamma-ray observations of the Sun, focusing on long-lived mediators and extending the mass range beyond previous limits.
Findings
No significant gamma-ray emission detected from the Sun.
Constraints on dark matter-proton cross section as low as 10^{-45} cm^2 for 1 TeV mass.
Constraints surpass current direct detection experiments by several orders of magnitude.
Abstract
We analyze the Sun as a source for the indirect detection of dark matter through a search for gamma rays from the solar disk. Capture of dark matter by elastic interactions with the solar nuclei followed by annihilation to long-lived mediators can produce a detectable gamma-ray flux. We search three years of data from the High Altitude Water Cherenkov Observatory and find no statistically significant detection of TeV gamma-ray emission from the Sun. Using this, we constrain the spin-dependent elastic scattering cross section of dark matter with protons for dark matter masses above 1 TeV, assuming an unstable mediator with a favorable lifetime. The results complement constraints obtained from Fermi-LAT observations of the Sun and together cover WIMP masses between 4 GeV and GeV. The cross section constraints for mediator decays to gamma rays can be as strong as …
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Taxonomy
TopicsDark Matter and Cosmic Phenomena · Atomic and Subatomic Physics Research · Computational Physics and Python Applications
