Mass models of disc galaxies from the DiskMass Survey in modified Newtonian dynamics
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Author list: Angus GW, Gentile G, Swaters R, Famaey B, Diaferio A, McGaugh SS, van der Heyden KJ
Publisher: Oxford University Press
Place: OXFORD
Publication year: 2015
Journal: Monthly Notices of the Royal Astronomical Society (0035-8711)
Journal acronym: MON NOT R ASTRON SOC
Volume number: 451
Issue number: 4
Start page: 3551
End page: 3580
Number of pages: 30
ISSN: 0035-8711
eISSN: 1365-2966
Languages: English-Great Britain (EN-GB)
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Abstract
This article explores the agreement between the predictions of modified Newtonian dynamics (MOND) and the rotation curves and stellar velocity dispersion profiles measured by the DiskMass Survey (DMS). A bulge-disk decomposition was made for each of the thirty published galaxies, and a MOND Poisson solver was used to simultaneously compute, from the baryonic mass distributions, model rotation curves and vertical velocity dispersion profiles, which were compared to the measured values. The two main free parameters, the stellar disk's mass-to-light ratio (M/L) and its exponential scaleheight (h(z)), were estimated by Markov Chain Monte Carlo modelling. The average best-fitting K-band stellar mass-to-light ratio was M/L a parts per thousand integral 0.55 +/- A 0.15. However, to match the DMS data, the vertical scaleheights would have to be in the range h(z) = 200-400 pc which is a factor of 2 lower than those derived from observations of edge-on galaxies with a similar scalelength. The reason is that modified gravity versions of MOND characteristically require a larger M/L to fit the rotation curve in the absence of dark matter and therefore predict a stronger vertical gravitational field than Newtonian models. It was found that changing the MOND acceleration parameter, the shape of the velocity dispersion ellipsoid, the adopted vertical distribution of stars, as well as the galaxy inclination, within any realistic range, all had little impact on these results.
Keywords
Dark matter, galaxies: kinematics and dynamics, methods: numerical
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