LSDCat – Line Source Detection and Cataloguing Tool

LSDCat is a conceptually simple but robust and efficient detection package for emission lines in wide-field IFS datacubes. The detection utilises a 3D matched-filtering approach for compact single emission line objects. Furthermore, the software measures fluxes and extents of detected lines. LSDCat is implemented in Python, with a focus on fast processing of the large data-volumes of typical wide-field IFS datacubes.

The code and documentation can be found here:

The corresponding paper can be found here: (Herenz & Wisotzki 2017, Accepted for publication in A&A)

MPDAF – the MUSE Python Data Analysis Framework

MPDAF is an open-source (BSD licensed) Python package, dedicated to the analysis of MUSE data. It has been developed and used in the MUSE Consortium for several years, and is now 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 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.

ZAP – the Zurich Atmosphere Purge

ZAP is a high precision sky subtraction tool which can be used as complete sky subtraction solution, or as an enhancement to previously sky-subtracted MUSE data. The method uses PCA to isolate the residual sky subtraction features and remove them from the observed datacube.

ZAP 2.0 (released 2017-09-08) is compatible with the WFM-AO mode, and also brings major improvements for the sky subtraction. See the details in the Changelog.
The code can be found here:

The paper can be found here: (Soto et al. 2016, MNRAS, 458, 3210)