The PHOEBE 2.0 release aims to provide fully-tested functionality that matches that of the legacy PHOEBE 1.0 (light curve and radial velocity forward models of binary star systems) but with improved precision and a python interface.
Below we provide installation instructions, tutorials and example scripts for a facilitated experience with PHOEBE.
PHOEBE 2.0 can not yet handle:
More advanced physics can be found in the PHOEBE 2.0-alpha releases and will be ported to future official releases as soon as they can be tested robustly.
Planned future features include:
Note for mac users: it is suggested to use homebrew to install a parallel version of python. PHOEBE has currently been tested to compile correctly using homebrew on El Capitan.
The C++ code in PHOEBE requires a compiler that supports C++11, either of the following should build correctly:
Note for Ubuntu 14.04 users: g++5 is not installed by default. You’ll likely need to to do the following in order to install PHOEBE:
sudo add-apt-repository ppa:ubuntu-toolchain-r/test sudo apt-get install g++-5 gcc-5 libstdc++-5-dev export CXX=g++-5
PHOEBE requires python 2.7+ (not yet fully tested on python 3.x) with the following packages:
Suggested packages (required for some optional but commonly used features):
Installing PHOEBE from PIP is probably the easiest. To install the latest version:
pip install phoebe
To update a previous installation:
pip install -U phoebe
And to uninstall:
pip uninstall phoebe
If pip gives any problems automatically installing dependencies, install them manually first:
pip install numpy scipy astropy matplotlib
Please check the version of PHOEBE you have installed to make sure you are using the corresponding version of the documentation. You can check the version once PHOEBE is imported via
If installing in a virtual environment, PHOEBE sets the matplotlib backend to ‘TkAgg’ instead of ‘Agg’ by default. To override this, set the backend yourself before importing PHOEBE. To use ‘TkAgg’, you may need to have python-tk installed on your system. See http://matplotlib.org/faq/virtualenv_faq.html for more information.
To create a virtual environment and install PHOEBE, do the following, replacing “<myphoebedir>” with your (perferably empty or not existing) directory of choice:
pip install virtualenv virtualenv <myphoebedir> source <myphoebedir>/bin/activate pip install numpy scipy astropy matplotlib phoebe
To leave the virtual environment:
And to destroy the virtual environment permanently:
rm -rf <myphoebedir>
To download via the github repository:
git clone --depth=1 https://github.com/phoebe-project/phoebe2.git
Note: developers should exclude the depth=1 to get the entire git history (download size will be larger).
NOTE: PHOEBE 2.0 builds to a python module named ‘phoebe’ which may conflict with the alpha version if you have that installed (but will not conflict with PHOEBE 0.2x, 0.3x, or 1.0). If you do have PHOEBE 2.0-alpha installed, please uninstall before attempting to install PHOEBE 2.0. If you have a previous version of PHOEBE 2.x (including PHOEBE 2.0-beta), installing will overwrite that version (unless you use a virtual environment).
python setup.py build python setup.py install --user
or to install system-wide (with root priviliges):
python setup.py build sudo python setup.py install
NOTE: the beta version builds a python module named ‘phoebe’ which will conflict with the alpha version if you have it installed (but will not conflict with PHOEBE 0.2x, 0.3x, or 1.0). If you do have PHOEBE 2.0-alpha installed, please uninstall before attempting to install PHOEBE 2.0-beta.
The following additional dependencies are required to run the nosetests:
To run all tests locally on your machine, run the following in the ‘tests’ directory in the source.
python run_tests nosetests
Please report any issues or bugs.
Each of the following tutorials builds upon previous tutorials, so it will be most efficient to work through them sequentially at first. However, each should run independently, so feel free to jump in at any point to review a specific concept.
For more specific use-cases, see the example scripts below.
Any of these tutorials can be downloaded as an IPython Notebook or a python script. (see the link at the top of any tutorial). To run these you’ll need PHOEBE installed on your system as well, and for the IPython notebooks you’ll also need IPython (sudo pip install jupyter; sudo apt-get install ipython-notebook). Then simply start the notebook service (ipython notebook [downloaded_tutorial.ipynb]). This will allow you to interact with the tutorial - running it line-by-line and making alterations to see how they change the output.
The following set of advanced tutorials follow the same format as the tutorials above, but cover individual advanced topics and do not depend on each other.
These all assume comfort with the tutorials listed above, but should not need to be read in any particular order.
The following tutorials aim to both explain the general logic that PHOEBE uses to compute observables as well as explaining the parameters, fields, and options for each observable type.
These aim to be quite thorough and may not be best for light-reading. They expect a comfortable understanding of using PHOEBE and python
The following tutorials aim to explain the implementation and usage of some of the physical effects that are incorporated in PHOEBE. These explain the relevant parameters and try to demonstrate how they affect the resulting synthetic models, but expect a comfortable understanding of using PHOEBE and python
These example scripts are generally focussed to show a single advanced feature or a specific science use-case. They are generally less verbose than the tutorials and assume you’re comfortable with the general concepts and syntax of both Python and PHOEBE. Some scripts may be listed under different sections if they fall under multiple categories.
If using PHOEBE 2.0, please consider citing the following papers, as appropriate:
See also the full up-to-date list of PHOEBE publications
Q: Is PHOEBE 2.0 backwards compatible with PHOEBE 2.0 alpha releases?
A: Unfortunately, no. We simply learned too much from the alpha-release that we decided that a complete rewrite was needed. However, many of the syntax concepts should be very familiar if you’ve used the frontend in the alpha releases.
Q: Can I speed up plotting in any way?
A: You could try changing your backend, e.g via
matplotlib.rcParams['backend'] = 'Agg'
but do this before importing Phoebe.
Q: How do I add a custom passband to PHOEBE 2?
A: You will need a table of intensities that you can download from the PHOEBE homepage.
Then you should follow the instructions available
Q: Is PHOEBE 2.x Python 3.x ready?
A: PHOEBE has been tested on Python 2.7 with various compilers. We are working towards testing PHOEBE on Python 3.x.
Q: Is it safe to use Phoebe?
A: For the most part, yes. If you do not have sympy installed, then constraints will be evaluated using the ‘eval’ command - which could potentially be dangerous if you blindly open a bundle from an untrusted source. To avoid this, simply install the sympy optional dependency.