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LISA Data Challenge software

Project description

LISA Data Challenge software

DOI

LDC provides a set of tools to generate and analyse the LDC datasets.

Installation of the latest released version

pip install lisa-data-challenge

Installation of the dev version

Cloning the gitlab project

The default working branch is named develop. git clone -b develop https://gitlab.in2p3.fr/LISA/LDC.git

Installation

By default, pyproject.toml will be used to generate a temporary environement to build the package (see https://pip.pypa.io/en/stable/reference/build-system/pyproject-toml/)

pip install .

For older version of setuptools, a setup.py file is also provided.

python setup.py install

Troubleshooting

Prerequisites

  • GSL : apt-get install libgsl-dev or conda install gsl
  • FFTW3 : apt-get install libfftw3-dev or conda install fftw

Paths to FFTW and GSL can be set explicitly by editing setup.cfg.

Python dependencies

Make sure that all requirements are met.

The requirements.txt file defines the reference version for most of the dependencies for a python3.9 installation as recommended by LISA-CDE, but other versions of the listed package might work.

To comply with the CDE environement: pip install -r requirements.txt

Extensions for specific fast waveform generator can be disabled in the installation command line:

python setup.py install --no-fastGB --no-imrphenomD --no-fastAK

Extra dependencies

Some external tools are interfaced by the LDC and need separate installation:

Documentation

Use policy

Do not forget to associate the authors of this software to your research:

  • Please cite the DOI (see badge above) and acknowledge the LDC working group in any publication which makes use of it

  • Do not hesitate to send an email for help and/or collaboration: ldc-at-lisamission.org, ldc-chairs-at-lisamission.org

Project details


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Source Distribution

lisa-data-challenge-1.2.2.tar.gz (40.6 MB view hashes)

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