Speaker
Ms
Silvia Garbari
(ITP - University of Zürich)
Description
We revisit the systematic problems that arise in determining the local matter and
dark matter density from the vertical motion of stars at the Solar Neighbourhood. We
use a simulation of a Milky Way-like galaxy to analyse these systematics and
determine the quality of data required to detect dark matter at its expected local
density. We introduce new unbiased method for recovering ρ_DM, based on moments of
Jeans equation, combined with a Monte Carlo Markov Chain technique to marginalise
over the unknown parameters. Our method relies on a 'minimal' set of hypotheses and
recovers the correct value of ρ_DM even in face disc of inhomogeneities,
non-isothermal tracers and a non-separable distribution function, but requires more
precise data than the classical method adopted in the literature.
Primary author
Ms
Silvia Garbari
(ITP - University of Zürich)
Co-authors
Prof.
George Lake
(ITP - University of Zürich)
Prof.
Justin Read
(ETH Zürich / University of Leicester)
