# The MaNGA Data Analysis Pipeline
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The MaNGA data-analysis pipeline (MaNGA DAP) is the survey-led software package
that has analyzed all galaxy data produced by the MaNGA data-reduction pipeline
(MaNGA DRP). Its goal is to produce high-level, science-ready data products
derived from MaNGA spectra. The products currently provided are:
- Spatially stacked spectra
- Stellar kinematics
- Nebular emission-line properties: fluxes, equivalent widths, and
kinematics
- Spectral indices: absorption-line (e.g., H-delta) and bandhead/color
(e.g., TiO, D4000) measurements
That is, the DAP currently focuses on "model-independent" properties.
Higher-level, model-dependent properties, such as stellar-population parameters,
are outside of the scope of the current pipeline.
**See our full documentation at [sdss-mangadap.readthedocs.io](https://sdss-mangadap.readthedocs.io/en/latest/).**
## SDSS Data Release Versions
- [SDSS-IV/MaNGA DR15](https://www.sdss.org/dr15/manga/) is based on version 2.2.1
- [SDSS-IV/MaNGA DR17](https://www.sdss.org/dr17/manga/) is based on version
3.1.2. Note that the version of the code that produced the DR17 was version
3.1.0; version 3.1.1 and 3.1.2 only include documentation updates.
## Citation
If you use the DAP software and/or its output products, please cite the
following two papers:
- *Overview*: [Westfall et al. (2019, AJ, 158, 231)](https://ui.adsabs.harvard.edu/abs/2019AJ....158..231W/abstract)
- *Emission-line Modeling*: [Belfiore et al. (2019, AJ, 158, 160)](https://ui.adsabs.harvard.edu/abs/2019AJ....158..160B/abstract)
Additionally, if you use SDSS-IV/MaNGA data, please see:
- [How to Cite SDSS](https://www.sdss.org/collaboration/citing-sdss/)
- [SDSS Technical Publications](https://www.sdss.org/science/technical_publications/)
## Installation
`pip install sdss-mangadap`
See https://sdss-mangadap.readthedocs.io/en/latest/installation.html
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"description": "# The MaNGA Data Analysis Pipeline\n\n[![Build Status](https://github.com/sdss/mangadap/actions/workflows/ci_tests.yml/badge.svg)](https://github.com/sdss/mangadap/actions)\n[![Coverage Status](https://codecov.io/gh/sdss/mangadap/branch/main/graph/badge.svg?token=S4veEPJwS1)](https://codecov.io/gh/sdss/mangadap)\n[![Doc Status](https://readthedocs.org/projects/sdss-mangadap/badge/?version=latest)](https://sdss-mangadap.readthedocs.io/en/latest/)\n[![License](https://img.shields.io/github/license/sdss/mangadap)](https://github.com/sdss/mangadap/blob/main/LICENSE.md)\n[![astropy](http://img.shields.io/badge/powered%20by-AstroPy-orange.svg?style=flat)](http://www.astropy.org/)\n\nThe MaNGA data-analysis pipeline (MaNGA DAP) is the survey-led software package\nthat has analyzed all galaxy data produced by the MaNGA data-reduction pipeline\n(MaNGA DRP). Its goal is to produce high-level, science-ready data products\nderived from MaNGA spectra. The products currently provided are:\n\n - Spatially stacked spectra\n - Stellar kinematics\n - Nebular emission-line properties: fluxes, equivalent widths, and\n kinematics\n - Spectral indices: absorption-line (e.g., H-delta) and bandhead/color\n (e.g., TiO, D4000) measurements\n\nThat is, the DAP currently focuses on \"model-independent\" properties.\nHigher-level, model-dependent properties, such as stellar-population parameters,\nare outside of the scope of the current pipeline.\n\n**See our full documentation at [sdss-mangadap.readthedocs.io](https://sdss-mangadap.readthedocs.io/en/latest/).**\n\n\n## SDSS Data Release Versions\n\n - [SDSS-IV/MaNGA DR15](https://www.sdss.org/dr15/manga/) is based on version 2.2.1\n\n - [SDSS-IV/MaNGA DR17](https://www.sdss.org/dr17/manga/) is based on version\n 3.1.2. Note that the version of the code that produced the DR17 was version\n 3.1.0; version 3.1.1 and 3.1.2 only include documentation updates.\n\n\n## Citation\n\nIf you use the DAP software and/or its output products, please cite the\nfollowing two papers:\n\n - *Overview*: [Westfall et al. (2019, AJ, 158, 231)](https://ui.adsabs.harvard.edu/abs/2019AJ....158..231W/abstract)\n - *Emission-line Modeling*: [Belfiore et al. (2019, AJ, 158, 160)](https://ui.adsabs.harvard.edu/abs/2019AJ....158..160B/abstract)\n\nAdditionally, if you use SDSS-IV/MaNGA data, please see:\n\n - [How to Cite SDSS](https://www.sdss.org/collaboration/citing-sdss/)\n - [SDSS Technical Publications](https://www.sdss.org/science/technical_publications/)\n\n\n## Installation\n\n`pip install sdss-mangadap`\n\nSee https://sdss-mangadap.readthedocs.io/en/latest/installation.html\n\n\n",
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