The MaNGA Data Analysis Pipeline
================================
.. image:: https://github.com/sdss/mangadap/actions/workflows/ci_tests.yml/badge.svg
:target: https://github.com/sdss/mangadap/actions
:alt: Build Status
.. image:: https://codecov.io/gh/sdss/mangadap/branch/main/graph/badge.svg?token=S4veEPJwS1
:target: https://codecov.io/gh/sdss/mangadap
:alt: Coverage Status
.. image:: https://readthedocs.org/projects/sdss-mangadap/badge/?version=latest
:target: https://sdss-mangadap.readthedocs.io/en/latest/
:alt: Documentation Status
.. image:: https://img.shields.io/github/license/sdss/mangadap
:target: https://github.com/sdss/mangadap/blob/main/LICENSE.md
:alt: License
.. image:: http://img.shields.io/badge/powered%20by-AstroPy-orange.svg?style=flat)
:target: http://www.astropy.org/
:alt: Powered by Astropy
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.
.. note::
This documentation is for the most recent stable release of the DAP. Use
the readthedocs selection menu at the lower-left of your web browser to
select previous version relevant to specific SDSS data releases:
* `SDSS-IV/MaNGA DR15 `__ is based on
version 2.2.1
* `SDSS-IV/MaNGA DR17 `__ 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:
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)`_
- *Emission-line Modeling*: `Belfiore et al. (2019, AJ, 158, 160)`_
Additionally, if you use SDSS-IV/MaNGA data, please see:
* `How to Cite SDSS `__
* `SDSS Technical Publications `__
----
.. toctree::
:caption: Welcome!
:maxdepth: 2
whatsnew
knownissues
**New in version 4.x**: We have made the MaNGA DAP *much* easier to use with
non-MaNGA datacubes. These changes are reflected throughout our documentation,
but specifically see :ref:`fitdatacube`.
----
.. toctree::
:caption: Usage
:maxdepth: 1
installation
execution
plan
development
----
.. toctree::
:caption: Methods
:maxdepth: 1
workflow
templatelibraries
emissionlines
spectralindices
spatialcovariance
----
.. toctree::
:caption: Output
:maxdepth: 1
gettingstarted
metadatamodel
datamodel
qualityassessment
corrections
aggregation
----
.. toctree::
:caption: Beyond MaNGA
:maxdepth: 1
fitonespec
fitdatacube
The MaNGA DAP software was written to be more broadly useful. The
pages above provide some examples of how the code can be used more
generally, beyond its application to MaNGA.
----
.. toctree::
:caption: Utilities
:maxdepth: 1
covariance
resampling
resolution
smoothing
bitmasks
parameters
----
.. toctree::
:caption: API
:maxdepth: 2
MaNGA DAP API
MaNGA DAP Modules
----
Search
======
* :ref:`genindex`
* :ref:`modindex`
* :ref:`search`
.. include links
.. include:: include/links.rst