This catalogue provides photometric parameters obtained from Sersic and Sersic+Exponential fits to the 2D surface brightness profiles of the final MaNGA DR17 galaxy sample (e.g. total fluxes, half light radii, bulge-disk fractions, ellipticities, position angles, etc.). It extends the `MaNGA PyMorph DR15 photometric VAC' to now include galaxies which were added to make the final DR17. For all the galaxies, we use the PyMorph algorithm for determining the fits. PyMorph has been extensively tested (Meert et al. 2013; Fischer et al. 2017; Bernardi et al. 2017) and PyMorph reductions of about 670,000 galaxies of the SDSS DR7 Main Galaxy Sample are available (the UPenn SDSS Photdec Catalogue: Meert et al. 2015, 2016). Since about 15% of the MaNGA galaxies were not included in that analysis, we have re-run PyMorph for all the galaxies in the MaNGA DR17 sample. These re-runs incorporate three improvements: they use the SDSS DR14 images, improved bulge-to-disk decomposition by slightly modifying our criteria when using PyMorph, and all the fits in this catalogue have been eye-balled, and re-fit if necessary, for additional reliability (see Fischer et al. 2019 and Domínguez Sánchez et al. 2021 for details). We recommend using `FLAG_FIT'.
Note that the position angle PA_PyMorph given in this catalogue is with respect to the camera columns in the SDSS ''fpC'' images (which are not aligned with the North direction); to convert to the usual convention where North is up, East is left (note that the MaNGA datacubes have North up, East right) set PA_MaNGA = (90-PA_PyMorph) - SPA, where SPA is the SDSS camera column position angle with respect to North reported in the primary header of the ''fpC'' SDSS images. PA_MaNGA is defined to increase from East towards North. In contrast to the DR15 release where the SPA angles were provided in a separate file, this DR17 catalog includes the SPA angles.
We recommend that you always use the latest updated catalog (DR17). The DR15 version of this VAC is still available here.
A companion catalog (MaNGA Morphology Deep Learning DR17) provides morphological classifications based on Deep Learning (DL) for the same set of galaxies (see Domínguez Sánchez et al. 2021).
