GalPaK 3D: Galaxy parameters and kinematics extraction from

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Ada Coda
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GalPaK 3D: Galaxy parameters and kinematics extraction from 3D data

Post by Ada Coda » Sun Feb 01, 2015 2:28 am

GalPaK 3D: Galaxy parameters and kinematics extraction from 3D data

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.

Site: http://galpak3d.univ-lyon1.fr/index.html
https://ui.adsabs.harvard.edu/abs/2015AJ....150...92B

Bibcode: 2015ascl.soft01014B

Preferred citation method: https://ui.adsabs.harvard.edu/abs/2015AJ....150...92B and https://ui.adsabs.harvard.edu/abs/2015ascl.soft01014B

ID: ascl:1501.014
Last edited by Ada Coda on Sun Nov 24, 2019 2:03 pm, edited 1 time in total.
Reason: Updated code entry.

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