MPDAF 3.0 documentation!¶
|Date:||Oct 21, 2018|
MPDAF, the MUSE Python Data Analysis Framework, is an open-source (BSD licensed) Python package, developed and maintained by CRAL and partially funded by the ERC advanced grant 339659-MUSICOS (see Authors and Credits for more details).
It has been developed and used in the MUSE Consortium for several years, and is available freely for the community.
It provides tools to work with MUSE-specific data (raw data, pixel tables, etc.), and with more general data like spectra, images and data cubes. Although its main use is to work with MUSE data, it is also possible to use it with other data, for example HST images.
MPDAF also provides MUSELET, a SExtractor-based tool to detect emission lines in a datacube, and a format to gather all the information on a source in one FITS file.
Bug reports, comments, and help with development are very welcome.
MPDAF 3.0 requires Python 3.5 or later. It is the first version that supports only Python 3. Older versions can be installed for users that still need Python 2.
If you have found a bug in MPDAF please report it.
The preferred way is to create a new issue on the MPDAF gitlab issue page . This requires creating a account on git-cral if you don’t have one. To create an account, please send email to firstname.lastname@example.org
The currently existing sub-packages are:
||Interface for spectra, images and cubes||Stable|
||Interface for the MUSE raw file and pixel table||Stable|
||Source: Creates single-source FITS files||Dev|
|Catalog: Creates source catalogs||Dev|
|MUSELET: MUSE Line Emission Tracker||Stable|
||slicer: MUSE slicer numbering scheme||Stable|
|PSF: MUSE PSF models||Dev|
Where Dev means Actively developed, so be prepared for potentially significant changes, and Stable means Reasonably stable, so any significant changes or additions will generally be backwards-compatible.