Simulation of energy transport by dark matter scattering in stars
Hannah Banks, Siyam Ansari, Aaron C. Vincent, Pat Scott

TL;DR
This paper develops a Monte Carlo simulation to accurately model how asymmetric dark matter transports heat in stars, improving upon older formalisms and providing better parametrizations for stellar evolution studies.
Contribution
It introduces a Monte Carlo approach to precisely solve the Boltzmann collision equation for dark matter heat transport in stars, surpassing traditional methods especially at the Knudsen transition.
Findings
The Spergel and Press formalism performs better than Gould and Raffelt across models.
A universal rescaling function improves the isothermal method's accuracy.
Recommendations are provided for incorporating dark matter heat transport into stellar models.
Abstract
Asymmetric dark matter (ADM) that is captured in stars can act as an efficient conductor of heat. Small ADM-induced changes in a star's temperature gradient are known to alter neutrino fluxes and asteroseismological signatures, erase convective cores and modify a star's main sequence lifetime. The Sun's proximity to us makes it an ideal laboratory for studying these effects. However, the two formalisms commonly used to parametrize such heat transport were developed over 30 years ago, and calibrated with a single set of simulations. What's more, both are based on assumptions that break down at the Knudsen transition, where heat transport is maximized. We construct a Monte Carlo simulation to exactly solve the Boltzmann collision equation, determining the steady-state distribution and luminosity carried in stars by ADM with cross sections that depend on velocity and momentum. We find…
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