SDSS-IV MaNGA: pyPipe3D analysis release for 10,000 galaxies
S.F. S\'anchez, J.K. Barrera-Ballesteros, E. Lacerda, A., Mej{\i}a-Narvaez, A. Camps-Fari\~na, G. Bruzual, C. Espinosa-Ponce, A., Rodr{\i}guez-Puebla, A. R. Calette, H. Ibarra-Medel, V. Avila-Reese, H., Hernandez-Toledo, M. A. Bershady, M. Cano-Diaz, and A.M. Munguia-Cordova

TL;DR
This paper introduces the pyPipe3D pipeline analysis of over 10,000 galaxies from the SDSS-IV MaNGA survey, providing detailed spatially-resolved spectroscopic properties and a comprehensive catalog for the largest galaxy dataset to date.
Contribution
The paper presents a new pipeline, pyPipe3D, for analyzing the largest galaxy integral field spectroscopy dataset, including detailed properties and a publicly accessible catalog.
Findings
Processed over 10,000 galaxy datacubes
Generated a comprehensive catalog of galaxy properties
Compared results with previous pipelines and tools
Abstract
We present here the analysis performed using the pyPipe3D pipeline for the final MaNGA dataset included in the SDSS seventeenth data-release. This dataset comprises more than 10,000 individual datacubes, being the integral field spectroscopy galaxy survey with the largest number of galaxies. pyPipe3D processes the IFS datacubes to extract spatially-resolved spectroscopic properties of both the stellar population and the ionized-gas emission lines. A brief summary of the properties of the sample and the characteristics of the analyzed data are included. The article provides details on (i) the performed analysis, (ii) a description of the pipeline, (iii) the adopted stellar population library, (iv) the morphological and photometric analysis, (v) the adopted datamodel for the derived spatially resolved properties and (vi) the individual integrated and characteristic galaxy properties…
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