On velocity-dependent dark matter annihilations in dwarf satellites
Mihael Petac, Piero Ullio, Mauro Valli

TL;DR
This paper investigates how assumptions about dark matter particle orbits and density profiles in dwarf galaxies affect gamma-ray signal predictions, highlighting the importance of phase-space distribution in indirect detection efforts.
Contribution
It introduces a comprehensive Bayesian framework to assess uncertainties in dark matter flux predictions due to phase-space distribution assumptions, including radial and tangential orbit biases.
Findings
Tangential orbits enhance the expected gamma-ray flux compared to isotropic models.
Radial orbits suppress the predicted dark matter signal.
New J-factor estimates for the brightest Milky Way dwarfs are consistent with previous studies.
Abstract
Milky Way dwarf spheroidal satellites are a prime target for Dark Matter (DM) indirect searches. There have been recent reassessments of the expected DM gamma-ray signals in case of long-range interactions, commonly known as Sommerfeld enhancement. Since details of the underlying DM phase-space distribution function become critical, there are potentially large uncertainties in the final result. We provide here a first attempt towards a comprehensive investigation of these systematics, addressing the impact on the expected DM flux from Milky Way dwarfs via Bayesian inference on the available stellar kinematic datasets. After reconsidering the study case of ergodic systems, we investigate for the first time scenarios where DM particle orbits may have a radial or tangential bias. We consider both cuspy and cored parametric DM density profiles, together with the case of a non-parametric…
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