Please cite Gomez Gonzalez et al. 2017 (accepted) whenever you publish data reduced with VIP. Astrophysics Source Code Library reference [ascl:1603.003]
VIP is a package/pipeline for angular, reference star and spectral differential imaging for exoplanet/disk detection through high-contrast imaging. VIP is being developed in Python 2.7.
VIP is being developed within the VORTEX team @ University of Liege (Belgium).
Most of VIP's functionalities are mature but it doesn't mean it's
free from bugs. The code will continue evolving and therefore all the feedback
and contributions will be greatly appreciated. If you want to report a bug,
suggest or add a functionality please create an issue or send a pull request on
the github repository.
VIP tutorial (Jupyter notebook) is available in this repository and can be visualized online here.
If you are new to the Jupyter notebook application read the beginner guide.
TL;DR download the tutorial from its repository and from the terminal run:
$ cd <path_to_tutorial_folder>
$ jupyter-notebookDocumentation can be found in http://vip.readthedocs.io/.
Run:
$ pip install git+https://github.com/vortex-exoplanet/VIP.gitRead the documentation for a detailed installation procedure (and optionally,
how to install Opencv).
You can subscribe to our mailing
list if you want to be informed of the latest developments of the VIP package
(new versions and/or updates).