Testing the predictions of axisymmetric distribution functions of galactic dark matter with hydrodynamical simulations
Mihael Peta\v{c}, Julien Lavalle, Arturo N\'u\~nez-Casti\~neyra and, Emmanuel Nezri

TL;DR
This paper tests an axisymmetric extension of the Eddington inversion method to predict dark matter phase-space distribution functions in galaxies, comparing it with hydrodynamical simulations to assess its accuracy and limitations.
Contribution
It introduces and evaluates an axisymmetric method for predicting dark matter distributions, highlighting its limitations compared to spherical models.
Findings
Axisymmetric predictions do not significantly outperform spherical models.
Theoretical errors are around 10-20% for velocity-dependent dark matter signals.
Angular momentum misalignment affects the accuracy of axisymmetric models.
Abstract
Signal predictions for galactic dark matter (DM) searches often rely on assumptions on the DM phase-space distribution function (DF) in halos. This applies to both particle (e.g. -wave suppressed or Sommerfeld-enhanced annihilation, scattering off atoms, etc.) and macroscopic DM candidates (e.g. microlensing of primordial black holes). As experiments and observations improve in precision, better assessing theoretical uncertainties becomes pressing in the prospect of deriving reliable constraints on DM candidates or trustworthy hints for detection. Most reliable predictions of DFs in halos are based on solving the steady-state collisionless Boltzmann equation (e.g. Eddington-like inversions, action-angle methods, etc.) consistently with observational constraints. One can do so starting from maximal symmetries and a minimal set of degrees of freedom, and then increasing complexity. Key…
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