Implications of a contracted dark matter halo for the Milky Way's inferred virial mass
Diego Dado (Durham-ICC), Shaun T. Brown (Durham-ICC, Stockholm-OKC), Azadeh Fattahi (Durham-ICC, Stockholm-OKC), Andreea S. Font (LJMU), Ian G. McCarthy (LJMU)

TL;DR
This study assesses how well dark matter halo properties of the Milky Way can be inferred from limited radial data, revealing biases in common models and proposing a contracted halo model for unbiased estimates.
Contribution
The paper demonstrates that standard parametric models underestimate halo mass when fitting only inner regions and shows that a contracted halo model provides more accurate, unbiased mass estimates across all radii.
Findings
NFW profiles underestimate virial mass by ~2 when fitted to inner data.
Contracted halo model yields unbiased mass estimates across all radii.
Biases decrease with increasing radial coverage, especially beyond 50 kpc.
Abstract
We investigate how reliably the global properties of Milky Way-mass dark matter haloes can be recovered from dynamical data over a limited radial range, particularly where observations are most sensitive but baryonic processes modify the halo structure. Using the ARTEMIS simulations, which produce varying degrees of baryon-induced contraction, we fit dark matter profiles over restricted radial ranges using commonly adopted parametric models. Assuming negligible observational uncertainties allows the systematic errors from these choices to be isolated. When fits are confined to inner radii, an NFW profile underestimates the virial mass by a factor of on average ( for some systems), and the concentration by a factor of . Einasto and generalised-NFW models provide excellent local fits but retain similar global biases. In…
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Taxonomy
TopicsGalaxies: Formation, Evolution, Phenomena · Dark Matter and Cosmic Phenomena · Astronomy and Astrophysical Research
