SDSS-IV MaNGA: pyPipe3D Analysis Release for 10,000 Galaxies

We present here the analysis performed using the pyPipe3D pipeline for the final MaNGA data set included in the Sloan Digital Sky Survey data release 17. This data set comprises more than 10,000 individual data cubes, being the integral field spectroscopic (IFS) galaxy survey with the largest number of galaxies. pyPipe3D processes the IFS data cubes 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 of: (i) the analysis performed; (ii) a description of the pipeline; (iii) the adopted stellar population library; (iv) the morphological and photometric analysis; (v) the adopted data model for the spatially resolved properties derived; and (vi) the individual integrated and characteristic galaxy properties included in the final catalog. Comparisons with the results from a previous version of the pipeline for earlier data releases and from other tools using this data set are included. A practical example of how to use the full data set and the final catalog illustrates how to handle the delivered product. Our full analysis can be accessed and downloaded from our web page.

Automated summary

In this article, we present an analysis of the final MaNGA data set included in the Sloan Digital Sky Survey data release 17 using the pyPipe3D pipeline. The pipeline extracts spatially resolved spectroscopic properties from the integral field spectroscopic (IFS) data cubes, including the stellar population and ionized gas emission lines. A detailed description of the analysis process, pipeline, adopted stellar population library, morphological and photometric analysis, data model for spatially resolved properties, and individual galaxy properties in the final catalog is provided. Comparisons with previous pipeline versions and other tools using the data set are also included, along with a practical example of how to use the full data set and final catalog.