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GalPaK3D: A BAYESIAN PARAMETRIC TOOL FOR EXTRACTING MORPHOKINEMATICS OF GALAXIES FROM 3D DATA

  • Authors: N. Bouché, H. Carfantan, I. Schroetter, L. Michel-Dansac, and T. Contini

2015 The Astronomical Journal 150 92.

  • Provider: AAS Journals

Caption: Figure 8.

Relative error ﹩\delta p/p﹩—defined as ﹩({p}_{\mathrm{fit}}-{p}_{\mathrm{in}})/{p}_{\mathrm{in}}﹩—for the kinematic parameters ﹩{V}_{\mathrm{max}}﹩ (top) and ﹩{\sigma }_{o}﹩ (bottom), as a function of seeing, disk dispersion ﹩{\sigma }_{o}﹩, inclination, and size-to-PSF ﹩{R}_{1/2}/{R}_{\mathrm{PSF}}﹩ (from left to right). The curves as a function of redshift are not shown because the relative errors do not depend on this parameter, as in Figure 7. For the ﹩{V}_{\mathrm{max}}﹩ parameter, the black (red) curves show the results when ﹩{R}_{1/2}/{R}_{\mathrm{PSF}}﹩ is less (greater) than 1.5. One sees that the GalPaK3D algorithm recovers the kinematic parameters irrespectively of seeing and redshift, provided that the galaxy is not too compact with ﹩{R}_{1/2}/{R}_{\mathrm{PSF}}﹩ larger than 1.5.

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