Skip to main content
Python Software Foundation 20th Year Anniversary Fundraiser  Donate today!

Toolsuite for dealing with the MaNGA dataset

Project description

Marvin is the ultimate tool to visualise and analyse MaNGA data. It is developed and maintained by the MaNGA team.

Build Status Coverage Status PyPI DOI astropy BrowserStack Status readthedocs

Installation

To painlessly install Marvin:

pip install sdss-marvin

If you would like to contribute to Marvin’s development, you can clone this git repo, and run pip install in editable mode which will install all the dev dependencies:

git clone https://github.com/sdss/marvin
cd marvin
pip install -e .[dev]

What is Marvin?

Marvin is a complete ecosystem designed for overcoming the challenge of searching, accessing, and visualizing the MaNGA data. It consists of a three-pronged approach of a web app, a python package, and an API. The web app, Marvin-web, provides an easily accessible interface for searching the MaNGA data and visual exploration of individual MaNGA galaxies or of the entire sample. The python package, in particular Marvin-tools, allows users to easily and efficiently interact with the MaNGA data via local files, files retrieved from the Science Archive Server, or data directly grabbed from the database. The tools come mainly in the form of convenience functions and classes for interacting with the data. An additional tool is a powerful query functionality that uses the API to query the MaNGA databases and return the search results to your python session. Marvin-API is the critical link that allows Marvin-tools and Marvin-web to interact with the databases, which enables users to harness the statistical power of the MaNGA data set.

Documentation

You can find the latest Marvin documentation here.

Citation and Acknowledgements

If you use Marvin for work/research presented in a publication (whether directly, or as a dependency to another package), we ask that you cite the Marvin Software (BibTeX). We provide the following as a standard acknowledgment you can use if there is not a specific place to cite the DOI:

*This research made use of Marvin, a core Python package and web framework for MaNGA data, developed by Brian Cherinka, José Sánchez-Gallego, Brett Andrews, and Joel Brownstein. (MaNGA Collaboration, 2018).*

Marvin’s Bibtex entry to use:

@ARTICLE{2019AJ....158...74C,
       author = {{Cherinka}, Brian and {Andrews}, Brett H. and
         {S{\'a}nchez-Gallego}, Jos{\'e} and {Brownstein}, Joel and
         {Argudo-Fern{\'a}ndez}, Mar{\'\i}a and {Blanton}, Michael and
         {Bundy}, Kevin and {Jones}, Amy and {Masters}, Karen and
         {Law}, David R. and {Rowlands}, Kate and {Weijmans}, Anne-Marie and
         {Westfall}, Kyle and {Yan}, Renbin},
        title = "{Marvin: A Tool Kit for Streamlined Access and Visualization of the SDSS-IV MaNGA Data Set}",
      journal = {\aj},
     keywords = {astronomical databases: miscellaneous, methods: data analysis, surveys, Astrophysics - Instrumentation and Methods for Astrophysics, Astrophysics - Astrophysics of Galaxies},
         year = 2019,
        month = aug,
       volume = {158},
       number = {2},
          eid = {74},
        pages = {74},
          doi = {10.3847/1538-3881/ab2634},
archivePrefix = {arXiv},
       eprint = {1812.03833},
 primaryClass = {astro-ph.IM},
       adsurl = {https://ui.adsabs.harvard.edu/abs/2019AJ....158...74C},
      adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}

License

Marvin is licensed under a 3-clause BSD style license - see the LICENSE.md file.

Project details


Download files

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

Files for sdss-marvin, version 2.6.0
Filename, size File type Python version Upload date Hashes
Filename, size sdss_marvin-2.6.0-py2.py3-none-any.whl (393.5 kB) File type Wheel Python version py2.py3 Upload date Hashes View
Filename, size sdss-marvin-2.6.0.tar.gz (322.7 kB) File type Source Python version None Upload date Hashes View

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring DigiCert DigiCert EV certificate Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page