Assessment of Dark Matter Models Using Dark Matter Correlations across Dwarf Spheroidal Galaxies
Ahmad Borzou

TL;DR
This paper evaluates dark matter models by analyzing correlations in dark matter densities across dwarf spheroidal galaxies using Gaia data and simulations, constraining theoretical models.
Contribution
It introduces a method to assess dark matter scenarios through correlation analysis of dark matter densities using observational and simulation data.
Findings
No significant correlations observed in Gaia data.
Simulation and Gaia correlations are in agreement.
Gaia data can constrain dark matter model parameters.
Abstract
The predicted size of dark matter substructures in kilo-parsec scales is model-dependent. Therefore, if the correlations between dark matter mass densities as a function of the distances between them are measured via observations, we can scrutinize dark matter scenarios. In this paper, we present an assessment procedure of dark matter scenarios. First, we use Gaia's data to infer the single-body phase-space density of the stars in the Fornax dwarf spheroidal galaxy. The latter, together with the Jeans equation, after eliminating the gravitational potential using the Poisson equation, reveals the mass density of dark matter as a function of its position in the galaxy. We derive the correlations between dark matter mass densities as a function of distances between them. No statistically significant correlation is observed. Second, for the sake of comparison with the standard cold dark…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
