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Self-consistent Bulge/Disk/Halo Galaxy Dynamical Modeling Using Integral Field Kinematics

Taranu, Dan S; Obreschkow, Danail; Dubinski, John; Fogarty, Lisa M R; van de Sande, J; Catinella, B; Cortese, L; Moffett, A.J.; Robotham, A. S. G.; Allen, James T; Bland-Hawthorn, Joss; Bryant, J.; Colless, Matthew; D'Eugenio, Francesco; Medling, Anne

Description

We introduce a method for modeling disk galaxies designed to take full advantage of data from integral field spectroscopy (IFS). The method fits equilibrium models to simultaneously reproduce the surface brightness, rotation, and velocity dispersion profiles of a galaxy. The models are fully self-consistent 6D distribution functions for a galaxy with a Sérsic profile stellar bulge, exponential disk, and parametric dark-matter halo, generated by an updated version of GalactICS. By creating...[Show more]

dc.contributor.authorTaranu, Dan S
dc.contributor.authorObreschkow, Danail
dc.contributor.authorDubinski, John
dc.contributor.authorFogarty, Lisa M R
dc.contributor.authorvan de Sande, J
dc.contributor.authorCatinella, B
dc.contributor.authorCortese, L
dc.contributor.authorMoffett, A.J.
dc.contributor.authorRobotham, A. S. G.
dc.contributor.authorAllen, James T
dc.contributor.authorBland-Hawthorn, Joss
dc.contributor.authorBryant, J.
dc.contributor.authorColless, Matthew
dc.contributor.authorD'Eugenio, Francesco
dc.contributor.authorMedling, Anne
dc.date.accessioned2021-09-15T01:58:55Z
dc.identifier.issn0004-637X
dc.identifier.urihttp://hdl.handle.net/1885/247881
dc.description.abstractWe introduce a method for modeling disk galaxies designed to take full advantage of data from integral field spectroscopy (IFS). The method fits equilibrium models to simultaneously reproduce the surface brightness, rotation, and velocity dispersion profiles of a galaxy. The models are fully self-consistent 6D distribution functions for a galaxy with a Sérsic profile stellar bulge, exponential disk, and parametric dark-matter halo, generated by an updated version of GalactICS. By creating realistic flux-weighted maps of the kinematic moments (flux, mean velocity, and dispersion), we simultaneously fit photometric and spectroscopic data using both maximum-likelihood and Bayesian (MCMC) techniques. We apply the method to a GAMA spiral galaxy (G79635) with kinematics from the SAMI Galaxy Survey and deep g- and r-band photometry from the VST-KiDS survey, comparing parameter constraints with those from traditional 2D bulge–disk decomposition. Our method returns broadly consistent results for shared parameters while constraining the mass-to-light ratios of stellar components and reproducing the H I-inferred circular velocity well beyond the limits of the SAMI data. Although the method is tailored for fitting integral field kinematic data, it can use other dynamical constraints like central fiber dispersions and H I circular velocities, and is well-suited for modeling galaxies with a combination of deep imaging and H I and/or optical spectra (resolved or otherwise). Our implementation (MagRite) is computationally efficient and can generate well-resolved models and kinematic maps in under a minute on modern processors.
dc.format.mimetypeapplication/pdf
dc.language.isoen_AU
dc.publisherIOP Publishing
dc.rights© 2017. The American Astronomical Society
dc.sourceThe Astrophysical Journal
dc.subjectgalaxies: fundamental parameters
dc.subjectgalaxies: spiral
dc.subjectgalaxies: structure
dc.subjectmethods: data analysis
dc.titleSelf-consistent Bulge/Disk/Halo Galaxy Dynamical Modeling Using Integral Field Kinematics
dc.typeJournal article
local.description.notesImported from ARIES
local.identifier.citationvolume850
dc.date.issued2017
local.identifier.absfor020104 - Galactic Astronomy
local.identifier.ariespublicationa383154xPUB9877
local.publisher.urlhttp://iopscience.iop.org/
local.type.statusPublished Version
local.contributor.affiliationTaranu, Dan S, University of Western Australia
local.contributor.affiliationObreschkow, Danail, University of Western Australia
local.contributor.affiliationDubinski, John, University of Toronto
local.contributor.affiliationFogarty, Lisa M R, University of Sydney
local.contributor.affiliationvan de Sande, J, University of Sydney
local.contributor.affiliationCatinella, B, The University of Western Australia
local.contributor.affiliationCortese, L, University of Western Australia
local.contributor.affiliationMoffett, A.J., The University of Western Australia
local.contributor.affiliationRobotham, A. S. G., University of Western Australia
local.contributor.affiliationAllen, James T, University of Sydney
local.contributor.affiliationBland-Hawthorn, Joss, University of Sydney
local.contributor.affiliationBryant, J., University of Sydney
local.contributor.affiliationColless, Matthew, College of Science, ANU
local.contributor.affiliationD'Eugenio, Francesco, College of Science, ANU
local.contributor.affiliationMedling, Anne, College of Science, ANU
local.description.embargo2099-12-31
local.bibliographicCitation.issue1
local.bibliographicCitation.startpage1
local.bibliographicCitation.lastpage21
local.identifier.doi10.3847/1538-4357/aa9221
dc.date.updated2020-11-23T11:06:42Z
local.identifier.scopusID2-s2.0-85038567386
CollectionsANU Research Publications

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