Systematics in virial mass estimators for pressure-supported systems
Rapha\"el Errani, Jorge Pe\~narrubia, Matthew G. Walker

TL;DR
This paper introduces a robust virial mass estimator for pressure-supported systems like dwarf spheroidal galaxies, minimizing uncertainties from anisotropy and halo profile assumptions, and validates its accuracy through simulations and application to real data.
Contribution
The authors develop and validate a new mass estimator that is insensitive to anisotropy and halo shape, improving mass measurements of dwarf galaxies.
Findings
Estimator provides unbiased masses with ~10% accuracy.
High dark matter densities in ultrafaint galaxies are incompatible with large cores.
Milky Way dwarf spheroidals have a narrow halo mass range (8-10 in log scale).
Abstract
Mass estimators are a key tool to infer the dark matter content in pressure-supported systems like dwarf spheroidal galaxies (dSphs). We construct an estimator for enclosed masses based on the virial theorem which is insensitive to anisotropy in the velocity dispersion and tailored to yield masses with minimum uncertainty introduced by our ignorance on (i) the shape of the inner halo profile, and (ii) how deeply the stellar component is embedded within the halo: , where by we denote the projected half-light radius and by the luminosity-averaged squared line-of-sight velocity dispersion. Tests against controlled simulations show that this estimator provides unbiased enclosed masses with an accuracy of per cent. This…
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