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
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.
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!
Indices and tables¶
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/ .