This is the public repository for the code COFFE (COrrelation Function Full-sky Estimator), which can be used to compute the following quantities in linear perturbation theory:
- full-sky and flat-sky 2-point correlation function (2PCF) of galaxy number counts, taking into account all of the effects (density, RSD, lensing, etc.)
- full-sky and flat-sky multipoles of the 2PCF
- redshift-averaged multipoles of the 2PCF
- flat-sky Gaussian covariance matrix of the multipoles of the 2PCF
- flat-sky Gaussian covariance matrix of the redshift-averaged multipoles of the 2PCF
The relevant theoretical papers are:
- The full-sky relativistic correlation function and power spectrum of galaxy number counts: I. Theoretical aspects, arXiv:1708.00492
- COFFE: a code for the full-sky relativistic galaxy correlation function, arXiv:1806.11090
- The flat-sky approximation to galaxy number counts - redshift space correlation function, arXiv:2011.01878
If you are on Linux or MacOS, the latest version of COFFE can be installed using:
pip install coffe
Note that Windows is not officially supported.
If you wish to install the development version of COFFE, please refer to the section below.
NOTE: the use of a virtual environment (such as Python's venv) is highly recommended.
If you would like to install the development version, you will need to first have the following:
- a C compiler, compatible with the C99 standard
- a Python interpreter, version 3.8 or above
- GSL (GNU Scientific Library) and the corresponding headers, version 2.1 or above (available as
libgsl-dev
on Debian-based, and asgsl-devel
on RHEL/CentOS-based distros) - FFTW and the corresponding headers, version 3 or above (available as
libfftw3-dev
on Debian-based, and asfftw-devel
on RHEL/CentOS-based distros) - libconfig
Then clone this repository:
git clone --recurse-submodules https://github.com/JCGoran/coffe
then change directory to it:
cd coffe
Run the script:
bash scripts/install_other.sh gsl fftw libconfig
Run the following command:
sudo apt install libgsl-dev libfftw3-dev libconfig-dev
and follow the instructions from the prompt.
You can install the necessary prerequisites using Homebrew:
brew install gsl fftw libconfig
NOTE: as a technical aside, Homebrew-installed packages (whether installed as pre-build binaries or from source) are built for the current version of your operating system. This means that they CANNOT be used to create a redistributable Python wheel, i.e. a wheel that works on any older version of MacOS.
As an alternative to Homebrew, one can use Conan to build the dependencies.
First install Conan using:
pip install conan
Then, generate a profile:
conan profile detect --force
Finally, install all of the dependencies in the _build
directory:
conan install . --output-folder=_build --build=missing
Note that this may take a while as the packages are usually built from source.
IMPORTANT NOTE: Due to the fact that newer Apple devices have dual architectures (both arm64
and x86_64
), it is recommended to not mix these together, i.e. you should re-run all of the above in clean arm64
and x86_64
environments (terminals) in separate COFFE directories to avoid any issues.
COFFE also depends on the CLASS and CUBA libraries, which are not available on Homebrew or Conan, or the default Linux package repositories.
To install them, one needs to install automake
, either via Homebrew (brew install automake
) or via some other package manager.
They can then be built and installed by running:
bash scripts/install_other.sh class cuba
This will install the two packages in the directories /opt/cuba_[ARCH]
and /opt/class_public_[ARCH]
, where arch is either x86_64
or arm64
depending on your CPU architecture.
Now that the prerequisites are installed, you can install COFFE using:
pip install .
If you would additionally like to install all of the various tools for testing, generating docs, and development, you can additionally run:
pip install '.[all]'
The documentation for the latest version is available here.
To build the documentation, you can run bash scripts/generate_docs.sh
, after which the documentation will be available under docs/
.
Please use the issue tracker to submit any bug reports and feature requests.
COFFE is licensed under the GNU GPL 3.0. See the LICENSE file for more information.
If you use COFFE in a publication, we kindly ask that you cite the original paper describing the code, located at arXiv:1806.11090.
A bibTeX
entry is provided below for convenience.
@article{coffe:v1,
author = "Tansella, Vittorio and Jelic-Cizmek, Goran and Bonvin,
Camille and Durrer, Ruth",
title = "{COFFE: a code for the full-sky relativistic galaxy
correlation function}",
year = "2018",
eprint = "1806.11090",
archivePrefix = "arXiv",
primaryClass = "astro-ph.CO",
SLACcitation = "%%CITATION = ARXIV:1806.11090;%%"
}
If you would like to test COFFE, you can do so in two ways: using either pytest
, or cmake
(deprecated).
To run the tests via pytest
, first install COFFE using the instructions above, and then run:
python -m pytest tests/
If you do not want to build COFFE using pip install
, you can instead use cmake
, which is installable via pip install cmake
. To do so, follow all of the above instructions, but instead of doing pip install .
, you can instead do:
mkdir build
cd build
cmake -DCMAKE_INSTALL_PREFIX=./install -DCOFFE_ENABLE_PYTHON=ON -DCOFFE_ENABLE_CLASS=ON -DCOFFE_ENABLE_CUBA=ON -DCOFFE_ENABLE_MATHOPTS=ON -DCOFFE_ENABLE_TESTS=ON ..
In case of issues with missing detection of GSL, FFTW, etc., which can happen when using Conan on MacOS, you can use:
cmake -DCMAKE_INSTALL_PREFIX=./install -DCOFFE_ENABLE_PYTHON=ON -DCOFFE_ENABLE_CLASS=ON -DCOFFE_ENABLE_CUBA=ON -DCOFFE_ENABLE_MATHOPTS=ON -DCOFFE_ENABLE_TESTS=ON -DCMAKE_TOOLCHAIN_FILE=../_build/conan_toolchain.cmake -DCOFFE_PYTHON_MINOR_VERSION=[VERSION] ..
where you must replace [VERSION]
with whatever minor version of Python you are using (for instance, when using Python 3.9, replace [VERSION]
with 9
).
Then you can build COFFE tests using:
make
NOTE: if you have Ninja installed, you can additionally pass -G Ninja
to the above cmake
command, and then run ninja build
instead of make
.
Finally, run the tests using:
ctest
The building of wheels is done using the cibuildwheel
utility.
To install it, run:
pip install cibuildwheel
Building of wheels on Linux requires a container engine like Docker or Podman. Once one of those is installed, the wheels can be built using:
cibuildwheel --platform linux
The wheels will then be available in the wheelhouse
subdirectory, and can then be uploaded to PyPI.
The MacOS wheels require an official Python installer; the ones from Homebrew, Conda, etc. will most likely not work. To build the wheels, run:
cibuildwheel --platform macos
The wheels will then be available in the wheelhouse
subdirectory, and can then be uploaded to PyPI.
IMPORTANT NOTE: when building a wheel using cibuildwheel
, the version of COFFE in the output can be surprising; to avoid any issues, it is best to specify the explicit version using:
export SETUPTOOLS_SCM_PRETEND_VERSION=[VERSION]
where [VERSION]
is the version number you want to tag this version of COFFE (for instance, 3.0.2
).
IMPORTANT NOTE 2: if you installed GSL, FFTW, or libconfig via Brew, make sure to unlink them first using:
brew unlink gsl fftw libconfig
because otherwise cibuildwheel
(or rather, auditwheel
) may complain about mismatching OS versions.
To automate the tedious task of building the wheels, they are now setup in the CI.