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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 5.

Joint distributions for the radius, PA, inclination, maximum velocity, and dispersion parameters for the example shown in Figures 24. The estimated parameters and their respective ﹩1\sigma ﹩ error are shown as a solid line and dashed line, respectively. One sees that the traditional degeneracy between ﹩{V}_{\mathrm{max}}﹩ and the inclination i is broken, thanks to our 3D method, but the seeing leaves a significant correlation between ﹩{V}_{\mathrm{max}}﹩ and the turnover radius rt. The presence of this degenerancy is data specific and seeing specific, not a generic feature of the algorithm.

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