To beta or not to beta: can higher-order Jeans analysis break the mass-anisotropy degeneracy in simulated dwarfs?. (arXiv:1911.09124v1 [astro-ph.GA])
<a href="http://arxiv.org/find/astro-ph/1/au:+Genina_A/0/1/0/all/0/1">Anna Genina</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+Read_J/0/1/0/all/0/1">Justin I. Read</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+Frenk_C/0/1/0/all/0/1">Carlos S. Frenk</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+Cole_S/0/1/0/all/0/1">Shaun Cole</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+Benitez_Llambay_A/0/1/0/all/0/1">Alejandro Benitez-Llambay</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+Ludlow_A/0/1/0/all/0/1">Aaron D. Ludlow</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+Navarro_J/0/1/0/all/0/1">Julio F. Navarro</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+Oman_K/0/1/0/all/0/1">Kyle A. Oman</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+Robertson_A/0/1/0/all/0/1">Andrew Robertson</a>
A non-parametric higher-order Jeans analysis method, GravSphere, was recently
used to constrain the density profiles of Local Group dwarf galaxies,
classifying them into those that are more likely to have an inner dark matter
cusp and those that are likely to have a core (Read et al.). In this work we
test this method using 31 simulated galaxies, comparable to Fornax, selected
from the APOSTLE suite of cosmological hydrodynamics simulations, which include
CDM and Self-Interacting Dark Matter (SIDM) cosmologies. We find that the mass
profiles of the simulated dwarfs are often, but not always, well recovered by
GravSphere. The less successful cases may be identified using a chi-squared
diagnostic. Although the uncertainties are large in the inner regions, the
inferred mass profiles are unbiased and exhibit smaller scatter than comparable
Jeans methods. We find that GravSphere recovers the density profiles of
simulated dwarfs below the half-light radius and down to the resolution limit
of our simulations with better than 10+-30 per cent accuracy, making it a
promising Jeans-based approach for modelling dark matter distributions in dwarf
galaxies.
A non-parametric higher-order Jeans analysis method, GravSphere, was recently
used to constrain the density profiles of Local Group dwarf galaxies,
classifying them into those that are more likely to have an inner dark matter
cusp and those that are likely to have a core (Read et al.). In this work we
test this method using 31 simulated galaxies, comparable to Fornax, selected
from the APOSTLE suite of cosmological hydrodynamics simulations, which include
CDM and Self-Interacting Dark Matter (SIDM) cosmologies. We find that the mass
profiles of the simulated dwarfs are often, but not always, well recovered by
GravSphere. The less successful cases may be identified using a chi-squared
diagnostic. Although the uncertainties are large in the inner regions, the
inferred mass profiles are unbiased and exhibit smaller scatter than comparable
Jeans methods. We find that GravSphere recovers the density profiles of
simulated dwarfs below the half-light radius and down to the resolution limit
of our simulations with better than 10+-30 per cent accuracy, making it a
promising Jeans-based approach for modelling dark matter distributions in dwarf
galaxies.
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