The following steps will guide you through your TauREx installation. They are very Mac centric but most of it should apply to a linux installation as well. To install things easily and smoothly for Mac, I strongly recommend to use macports or homebrew (https://www.macports.org). For ubuntu, most of the work will be the same using apt-get but the individual commands will obviously be different.
The main issue here is the installation of
multinest. You only need to do this once for your system but it can be a bit of a hassle first time you try. There is quite a lot of documentation on the web though if you google it.
The main body of TauREx is written in Python 2.7/3.x. The atmospheric forward models are written in C++ and the equilibrium chemistry model is written in Fortran 90.
To run TauREx, you need a modern GCC (>4.9) or intel compiler as well as either python 2.7 or python 3.x and standard python libraries. You should be able to switch seamlessly between python versions but please note that from future versions, development will be exclusively in python 3.x.
Before getting to TauREx, we need to first install MultiNest.
To start, we need to download TauREx. It is available via GitHub:
Either download it as
.zip file or clone it into your directory:
git clone https://github.com/ucl-exoplanets/TauREx_public
Now download MultiNest (you will need to register to access the download page):
Make sure you download the cmake installation version. This sorts most of the makefile issues that you commonly encounter with multinest.
Unpack the .tar.gz file somewhere. The default installation directory (unless you change it) is
/usr/local/multinest. You can also choose a more local directory. It does not really mattter where you install it but for the sake of argument, we will assume the default from here on.
Before installing, read the README file in the multinest folder. This should explain quite well how to install multinest.
Before compiling multinest, I found it helpful to make sure the latest version of gcc is installed on your system (do not install 4.8 as that has a bug w.r.t. some lapack libraries). Anything above version 4.9 is fine.
GCC5.x or above is recommended and everything will be linked to this from here on
To install gcc on a Mac using macports
sudo port install gcc5
now make sure this gcc is the default option
sudo port select --set gcc mp-gcc5
install cmake if you haven’t already got it
sudo port install cmake
install the OpenBLAS library (this can take an hour, not 100% sure you really need that. It depends whether you have a set of lapack libraries already installed on your system. You may want to skip this step on first try and then return to it later if needed. )
sudo port install openblas +gcc5
Install openmpi with gcc5 compiler linking
sudo port install openmpi +gcc5 sudo port select --set mpi openmpi-mp-fortran
Now we get to compiling multinest itself. Go to the folder where you unpacked the multinest files into. There is a very helpful little readme file but just in case here is what you have to do:
go to the multinest directory and make a folder ‘build’
$ cd $MULTNEST_DIR $ mkdir build
now go into the build folder and make and install multinest
$ cd build $ sudo cmake .. $ sudo make $ sudo make install
Make sure that it correctly finds the gcc, gfortran (or icc, ifort) compilers, BLAS and LAPACK libraries and OpenMPI libraries. CMAKE will complain if it doesn’t.
If you have multiple compilers on your system, cmake sometimes has issues detecting the correct compiler, escpecially
gfortran is often an issue. To force it to use a certain compiler, you can specify its
$ sudo cmake -D CMAKE_FC_COMPILER=[PATH_TO_EXECUTABLE]/gfortran ..
If you are using a Mac, you need to soft-link the .dylib libraries to .so version. You do not need to do that on a linux system. Go to the library folder and /lib and set up soft links from .dylib to .so libraries.
These files need to have softlinks to .so endings
libmultinest.dylib libmultinest.3.9.dylib libmultinest_mpi.dylib libmultinest_mpi.3.9.dylib
sudo ln -s libmultinest.dylib libmultinest.so sudo ln -s libmultinest_mpi.dylib libmultines_mpi.so
Finally, add the multinest libraries to your LD_LIBRARY_PATH variable. Best is if you do that in your
.profile (whichever your system uses)
Installing python libraries
TauREx relies on mostly standard libraries and most of them are shipped in a typical Anaconda installation. I would suggest you get Anaconda here:
If you want to stick with your prestine macports installation, you may need to install extra packages. The minimal set of standard libraries you need are: numpy, matplotlib, configparser, optparse
sudo port install py27-pymc, py27-sklearn, py27-cython, py27-configparser, py27-optparse, py27-threading, py27-subprocess, pip
Older versions of TauREx also require you to install pymc.
sudo port install py27-pymc
pip install pymc
MPI linking (optional)
Now install the mpi linking to python with the correct links . This is important: make always sure that you are installing everything with openmpi and not mpich linking
sudo port install py27-mpi4py +openmpi
now install pymultinest using pip
sudo pip install pymultinest
Compiling TauREx Forward models
Finally, the TauREx C++ and fortran libraries need to be compiled. In the
Optional: if the chemical equilibrium model is required, it must be compiled separately first. In the
gfortran -shared -fPIC -o ACE.so Md_ACE.f90 Md_Constantes.f90 Md_Types_Numeriques.f90 Md_Utilitaires.f90 Md_numerical_recipes.f90
That’s it. Now you should be able to run TauREx.
Adding Input folder data
TauREx requires input data such as ktables/cross-sections/cia/mie etc. These cannot be provided on GitHub due to size. The required Input folder can be downloaded here:
On this page, we explain the Input folder and what is needed in more detail.
Downloading TauREx from Dropbox
Alternatively, you can download the full code with its Input files in place from here:
Remember that you still need to recompile the forward models since your system architecture is likely to be differnt.
TauREx has two modes in which it can be run: Forward model and Retrieval. More detail will be given on the dedicated pages. For now, a simple run-through on how to test TauREx with a minimal parameter file.
In the forward model mode, we can create individual spectra through either the provision of a parameter file and listed abundances or C/O and metallicity, or by providing external temperature-pressure and chemical profile files.
For a standard example, we provide example parameter files in the /tests folder.
For a transmisison/emission case:
python create_spectrum.py -p tests/test_0_transmission/test_fm.par --plot
The spectrum is saved as ascii in SPECTRUM_out.dat in the Output folder specified in the parameter file. Note these parameter files are minimal files and modify the default parameter in Parfiles/default.par. You can add as many paramters in your minimal par file as required.
Flags: -p : path to parameter file –plot : creates plot of spectrum –save_instance : saves the spectrum, together with other data (e.g. temperature-pressure profiles, transmissivity, etc) in a numpy pickle file.
To get a list of parameters that can be set on command line:
python create_spectrum.py --help
For the emission example, use
python create_spectrum.py -p tests/test_0_emission/test_fm.par --plot