tjpcov 0.3.1

Covariances for LSST DESC

TJPCov

TJPCov is a general covariance calculator interface to be used within LSST DESC.

Installation

TJPCov is now pip installable for convenience, but for development clone the git repository.

There are five different flavors of tjpcov at the moment:

• python -m pip install . will install tjpcov and the minimal dependencies.
• python -m pip install .\[doc\] will install tjpcov, the minimal dependencies and the dependencies needed to build the documentation.
• python -m pip install .\[nmt\] will install tjpcov, the minimal dependencies and the dependencies needed to use NaMaster.
• python -m pip install .\[mpi4py\] will install, the minimal dependencies and the mpi4py library to use MPI parallelization.
• python -m pip install .\[full\] will install tjpcov and all dependencies

Note that due to a bug in the NaMaster installation, one needs to make sure numpy is installed before trying to install NaMaster. If you are doing a fresh install, run python -m pip install . first, and then python -m pip install .\[nmt\]

Planning & development

Ask @felipeaoli or @carlosggarcia for access to the repository and join the #desc-mcp-cov channel on the LSST DESC slack to contribute.

We have adopted the following style convention (which are enforced in each PR):

• Google-style docstrings
• Black code style (with 79 characters line-width)
• PEP8 except for E203 (for better compatibility with black)

There are black and flake8 configuration files so that formatting the code and checking its PEP8 compliance is a matter of running the following commands in the root folder:

black .
flake8 .

Furthermore, we are following GitHub's recommendation of using Semantic Versioning in our releases.

For a general idea of TJPCov's scientific scope, see also the terms of reference.

Environment for development

If you are working in conda (miniconda or anaconda) you can create a conda environment named tjpcov with

conda env create --file environment.yml

To activate your new environment use:

conda activate tjpcov

Dependencies and versioning

The latest version TJPCov needs pymaster >= 1.4 . Install it using (after conda activate tjpcov):

python -m pip install pymaster>=1.4

The code requires ccl>=2.5.0

python -m pip install ccl>=2.5.0