MaNGA intermediate and final data products are stored on the SDSS Science Archive Server (SAS).
The primary end-stage MaNGA data products include 3-D reduced data cubes, 3-D model data cubes for any successful fit from the DAP, and 2-D images of mapped properties from the DAP (kinematics, emission-line fluxes, and spectral indices).
A data cube includes two spatial dimensions and one wavelength dimension. The DRP reduced data cubes include sky-subtracted, spectrophotometrically calibrated spectra from all individual dithered observations through the MaNGA bundle, combined onto a regular 0.5 arcsecond grid. Individual MaNGA fiber spectra (sky-subtracted and spectrophotometrically calibrated) are also provided in summary row-stacked format for each galaxy. For each galaxy observed there are between 57 and 1905 of these row stacked spectra (RSS), one row per fiber, per exposure.
Raw MaNGA data are recorded by the four BOSS cameras as 2-D images. These are extracted into 1423 one-dimensional spectra (one for each MaNGA fiber) and processed through the Data Reduction Pipeline (DRP) up to and including flux calibration, after which the spectra are collated into Row Stacked Spectra (RSS) and assembled into 3-D Data Cube formats.
The Data Analysis Pipeline (DAP) processes the 3-D data cubes produced by the DRP to measure stellar and ionized-gas kinematics, emission-line fluxes and equivalent widths, and spectral indices (e.g., Lick Indices, Dn4000). The DAP produces two primary output files, a “model cube” file and “maps” file. The model cube file provides model spectra and relevant masks for every spectrum fit by the DAP. The maps files provides the relevant model properties useful for further science analysis.
MaNGA summary catalogs are served through the Catalog Archive Server (CAS).
For more detailed information please visit Data Access, Data Model, Metadata, MaNGA Catalogs.
Data products can also be accessed using Marvin, a tool designed specifically for searching, accessing, and visualizing the MaNGA data.
To be walked through MaNGA Data Access please visit our lovely MaNGA Tutorials.