NaMaster is a C library, Python module and standalone program to compute full-sky angular cross-power spectra of masked, spin-0 and spin-2 fields with an arbitrary number of known contaminants using a pseudo-Cl (aka MASTER) approach. The code also implements E/B-mode purification and is available in both full-sky and flat-sky modes.
Unless you care a lot about optimizing the code, you should probably use the conda recipe for NaMaster currently hosted on conda-forge (infinite kudos to Mat Becker for this). This means simply running:
conda install -c conda-forge namaster
If that works for you and you don't care about optimizing the code too much, skip the rest of this section. If you don't have admin permissions, you can give virtual environments a try (or else follow the instructions below).
NaMaster has the following dependencies, which should be present in your system before you can install the code:
- GSL. Version 2 required.
- FFTW. Version 3 required. Install with
--enable-openmpand potentially also
- libsharp (see instructions in NERSC_installation.md for more details on how to install libsharp).
- cfitsio. Any version >3 should work.
- HEALPix. Any version >2 should work. You only need to install the C libraries (including the shared ones).
1- C library
First, install the C library
libnmt. In UNIX, in the simplest case, this should be a matter of running
./configure make make install
where the last command should be preceded by
sudo if you need (and can get) admin privileges. If you don't have admin privileges, you can change the first command to
/path/to/install is an absolute path to the directory where the C library and include files will be installed.
If you have installed the C library in a non-standard path, you may have to add
.bash_profile for your system to be able to find
Note that the installation process will also generate an executable
namaster, residing in
/path/to/install/bin that can be used to compute power spectra. The use of this program is discouraged over using the C library or python module.
Once you have installed the C library, you can check that everything works by running
If all the checks pass, you're good to go.
2- Python module
Installing the python module
pymaster should be as simple as running
python setup.py install [--user]
or, even better, if you can use
pip install . [--user]
where the optional
--user flag can be used if you don't have admin privileges.
You can check that the python installation works by running the unit tests:
python -m unittest discover -v
Note that the
test directory, containing all unit tests, also contains all the sample python scripts described in the documentation (see below).
If you installed
pip, you can uninstall everything by running
pip uninstall pymaster
The following sources of documentation are available for users:
- Scientific documentation: description of the methods implemented in NaMaster
- C API documentation: description of the C library functionality and the NaMaster executable. Installation instructions and a description of all dependencies can also be found here.
- Python wrapper documentation: also available in readthedocs
Licensing, credits and feedback
You are welcome to re-use the code, which is open source and freely available under terms consistent with BSD 3-Clause licensing (see LICENSE).
If you use NaMaster for any scientific publication, we kindly ask you to cite this github repository and the companion paper https://arxiv.org/abs/1809.09603. Special kudos should go to the following heroes for their contributions to the code:
- Mat Becker (@beckermr)
- Daniel Lenz (@DanielLenz)
- Zack Li (@xzackli)
- Thibaut Louis (@thibautlouis)
For feedback, please contact the author via github issues or emaild (firstname.lastname@example.org).