brutifus 2019.08.3

brutifus is a set of Python routines designed to post-process datacubes from Integral Field Spectrographs, and in particular MUSE and WiFeS. The spirit of brutifus is to deal with generic post-processing tasks with as little interactions as possible.

So far, brutifus allows to:

• correct a cube WCS solution using Gaia,

• generate B&W and RGB images from the cube,

• correct for the galactic reddening along the line of sight,

• fit the stellar/nebular continuum using the non-parametric Locally Weighted Scatterplot Smoothing (LOWESS) technique,

• perform an ad-hoc sky-subtraction if required.

brutifus is modular: execution files allow the user to specify which recipe is to be executed, and in which order. Wherever feasible/beneficial, brutifus routines can use up to ny cpus at once (where nx*ny is the number of spaxels in the datacube; ny~300 for a MUSE cube) to speed up the processing of large datasets.

Note

brutifus is very much a work in progress. Modules and recipes will get added as the need arises. The code is released publicly because I believe in an open Science policy.

You’re welcome to try it out … so long as you remember that the code comes with no warranty!

Contents

• Home
• Gallery
• Installing brutifus
• Running brutifus
• FAQ
• Changelog
• Acknowledging brutifus
• brutifus
• Github

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Copyright notice

This file is part of the brutifus Python module. The brutifus Python module is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, version 3 of the License.

The brutifus Python module is distributed in the hope that it will be useful, but without any warranty; without even the implied warranty of merchantability or fitness for a particular purpose. See the GNU General Public License for more details.

You should have received a copy of the GNU General Public License along with the brutifus Python module. If not, see http://www.gnu.org/licenses/ .