Abstract: GalPaK 3D extracts the intrinsic (i.e. deconvolved) galaxy parameters and kinematics from any 3-dimensional data. The algorithm uses a disk parametric model with 10 free parameters (which can also be fixed independently) and a MCMC approach with non-traditional sampling laws in order to efficiently probe the parameter space. More importantly, it uses the knowledge of the 3-dimensional spread-function to return the intrinsic galaxy properties and the intrinsic data-cube. The 3D spread-function class is flexible enough to handle any instrument.
GalPaK 3D can simultaneously constrain the kinematics and morphological parameters of (non-merging, i.e. regular) galaxies observed in non-optimal seeing conditions and can also be used on AO data or on high-quality, high-SNR data to look for non-axisymmetric structures in the residuals.
Credit: Bouché, N.; Carfantan, H.; Schroetter, I.; Michel-Dansac, L.; Contini, T.
Preferred citation method: https://ui.adsabs.harvard.edu/abs/2015AJ....150...92B and https://ui.adsabs.harvard.edu/abs/2015ascl.soft01014B