Bayesian reconstruction of the Milky Way dark matter distribution

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Title: Bayesian reconstruction of the Milky Way dark matter distribution
Authors: Karukes, E
Benito, M
Iocco, F
Trotta, R
Geringer-Sameth, A
Item Type: Journal Article
Abstract: We develop a novel Bayesian methodology aimed at reliably and precisely inferring the distribution of dark matter within the Milky Way using rotation curve data. We identify a subset of the available rotation curve tracers that are mutually consistent with each other, thus eliminating data sets that might suffer from systematic bias. We investigate different models for the mass distribution of the luminous (baryonic) component that bracket the range of likely morphologies. We demonstrate the statistical performance of our method on simulated data in terms of coverage, fractional distance, and mean squared error. Applying it to Milky Way data we measure the local dark matter density at the solar circle ρ0 to be ρ0 = 0.43 ± 0.02(stat) ± 0.01(sys) GeV/cm3, with an accuracy ~ 6%. This result is robust to the assumed baryonic morphology. The scale radius and inner slope of the dark matter profile are degenerate and cannot be individually determined with high accuracy. We show that these results are robust to several possible residual systematic errors in the rotation curve data.
Issue Date: 23-Sep-2019
Date of Acceptance: 7-Sep-2019
URI: http://hdl.handle.net/10044/1/74035
DOI: https://doi.org/10.1088/1475-7516/2019/09/046
ISSN: 1475-7516
Publisher: IOP Publishing
Journal / Book Title: Journal of Cosmology and Astroparticle Physics
Volume: 2019
Issue: 9
Copyright Statement: © 2019 IOP Publishing Ltd. This is an author-created, un-copyedited version of an article accepted for publication in Journal of Cosmology and Astroparticle Physics. IOP Publishing Ltd is not responsible for any errors or omissions in this version of the manuscript or any version derived from it. The definitive publisher authenticated version is available online at https://doi.org/10.1088/1475-7516/2019/09/046.
Sponsor/Funder: European Commission
Science and Technology Facilities Council
Science and Technology Facilities Council (STFC)
Funder's Grant Number: H2020-MSCA-RISE-2015-691164
ST-N000838
ST/N000838/1
Keywords: Science & Technology
Physical Sciences
Astronomy & Astrophysics
Physics, Particles & Fields
Physics
galaxy dynamics
rotation curves of galaxies
GALACTIC ROTATION CURVE
BULGE
MASS
STELLAR
KINEMATICS
MODELS
GALAXY
DISK
KPC
BAR
Science & Technology
Physical Sciences
Astronomy & Astrophysics
Physics, Particles & Fields
Physics
galaxy dynamics
rotation curves of galaxies
GALACTIC ROTATION CURVE
BULGE
MASS
STELLAR
KINEMATICS
MODELS
GALAXY
DISK
KPC
BAR
astro-ph.GA
astro-ph.GA
0201 Astronomical and Space Sciences
0202 Atomic, Molecular, Nuclear, Particle and Plasma Physics
Nuclear & Particles Physics
Publication Status: Published
Embargo Date: 2020-09-23
Open Access location: https://iopscience.iop.org/article/10.1088/1475-7516/2019/09/046
Article Number: 46
Online Publication Date: 2019-09-23
Appears in Collections:Physics
Astrophysics



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