Skip to main content

MaNGA Data Analysis Pipeline

Project description

The MaNGA Data Analysis Pipeline

Build Status Coverage Status Doc Status astropy License

The MaNGA data-analysis pipeline (MaNGA DAP) is the survey-led software package that analyzes the data produced by the MaNGA data-reduction pipeline (MaNGA DRP) to produced physical properties derived from the MaNGA spectroscopy.

For full documentation, see: https://sdss-mangadap.readthedocs.io/en/latest/

Note that the version of the DAP used for DR15 is 2.2.1.

Citation

If you use the DAP software and/or its output products, please cite the following two papers:

Installation

To install, first clone the repository:

git clone https://github.com/sdss/mangadap.git

We recommend using the most recent tag:

cd mangadap
./checkout_current_tag

To install, run:

python3 setup.py install

On MacOSX, you may need to add CC=clang, i.e.:

CC=clang python3 setup.py install


The DAP uses environmental variable to define the paths to specific data and other repositories. If these are not defined, warnings will be issued everytime the DAP is installed or imported. The relevant environmental variables, their default, and their usage are provided below.

Variable Default Comments
MANGADRP_VER v2_4_3 Version of the DRP, used for path construction
MANGA_SPECTRO_REDUX $HOME/MaNGA/redux Root path for the reduced data
MANGADAP_VER mangadap.__version__ Version of the DAP, used for path construction
MANGA_SPECTRO_ANALYSIS $HOME/MaNGA/analysis Root path for the analysis data
MANGACORE_VER v1_6_2 Version of MaNGA core (survey-level meta data)
MANGACORE_DIR $HOME/MaNGA/core/$MANGACORE_VER Root path with the MaNGA core repository

Notes:

  • $MANGACORE_VER and $MANGACORE_DIR are only needed to perform the survey-level execution of the pipeline.
  • The DAP expects to find the DRP LOGCUBE files in $MANGA_SPECTRO_REDUX/$MANGADRP_VER/[plate]/stack, where [plate] is the desired plate number.
  • The DAP expects to find/write data to $MANGA_SPECTRO_ANALYSIS/$MANGADRP_VER/$MANGADAP_VER.
  • $MANGADAP_VER is only used to set the path names, not to select the specific version of the pipeline to use

These environmental variables can be added to your .bash_profile file in your home directory or be included in a script that is sourced when you want to run the DAP. The added lines to your .bash_profile file could look something like this:

export MANGA_SPECTRO_REDUX=/Volumes/MaNGA/redux
export MANGA_SPECTRO_ANALYSIS=/Volumes/MaNGA/analysis

export MANGADRP_VER=v2_4_3

export MANGADAP_VER=2.2.1

export MANGACORE_VER=v1_6_2
export MANGACORE_DIR=$HOME/MaNGA/core/$MANGACORE_VER

Note: Some of these variables are also defined by Marvin; see here. It's possible to have both Marvin and the DAP point to the same directory, but beware that this may mean that some of the files get overwritten.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

sdss-mangadap-4.0.1.tar.gz (110.1 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

sdss_mangadap-4.0.1-py3-none-any.whl (105.1 MB view details)

Uploaded Python 3

File details

Details for the file sdss-mangadap-4.0.1.tar.gz.

File metadata

  • Download URL: sdss-mangadap-4.0.1.tar.gz
  • Upload date:
  • Size: 110.1 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.9.7

File hashes

Hashes for sdss-mangadap-4.0.1.tar.gz
Algorithm Hash digest
SHA256 30c5579b01e9a03f147c9390d689b8e1b996fd4c8aa9a0b6aedcc15974f904e7
MD5 7ad3ead0fcee22d7b791b0ff3eb346d0
BLAKE2b-256 ea14ccf87f483a28106c7520026e99045ccbef32a8fbbe30fe7a387218c45403

See more details on using hashes here.

File details

Details for the file sdss_mangadap-4.0.1-py3-none-any.whl.

File metadata

  • Download URL: sdss_mangadap-4.0.1-py3-none-any.whl
  • Upload date:
  • Size: 105.1 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.9.7

File hashes

Hashes for sdss_mangadap-4.0.1-py3-none-any.whl
Algorithm Hash digest
SHA256 9c74e0ab3953b4c9b6b534e0b69fb9eb535e120f5358e7ddb6659741d53c5756
MD5 95d9fcfa58ffb42cd93d7878503d1cc5
BLAKE2b-256 fa235272e3c221582fdba837be6891a121d12249870438002fdc2a58f6d3f1e7

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page