LISA Analysis Tools is a package for performing LISA Data Analysis tasks, including building the LISA Global Fit.

These instructions will get you a copy of the project up and running on your local machine, either for development and testing purposes or as an installed package. For more information, see the documentation at https://mikekatz04.github.io/LISAanalysistools.

You can install with pip:

pip install lisaanalysistools

If you want to install all of the tools associated with LISA Analysis Tools (Fast EMRI Waveforms, BBHx, GBGPU, fastlisaresponse, eryn), see the following instructions.

LISA Analysis Tools leverages conda environments to install and use necessary packages. If you do not have Anaconda or miniconda installed, you must do this first and load your base conda environment. Recommended components for install in your conda environment are lapack, gsl, hdf5, which are needed for various waveform packages.

For an easy full install, follow these instructions.

First, clone the repo and cd to the LISAanalysistools directory.:

git clone https://github.com/mikekatz04/LISAanalysistools.git
cd LISAanalysistools/

Install all packages necessary for the tutorials by running:

bash install.sh

Running bash install.sh -h will also give you some basic install options.

If you want more flexibility, you can install each package given above separately.

To install this software for use with NVIDIA GPUs (compute capability >5.0), you need the CUDA toolkit and CuPy. The CUDA toolkit must have cuda version >8.0. Be sure to properly install CuPy within the correct CUDA toolkit version. Make sure the nvcc binary is on $PATH or set it as the CUDA_HOME environment variable.

We are currently working on building wheels and making the GPU version pip installable. For now, to work with GPUs, git clone the repository and install it from source. You must run python scripts/prebuild.py before running the install process.

Please read CONTRIBUTING.md for details on our code of conduct, and the process for submitting pull requests to us.

We use SemVer for versioning. For the versions available, see the tags on this repository.

Current Version: 1.0.8

• Michael Katz
• Lorenzo Speri
• Christian Chapman-Bird
• Natalia Korsakova
• Nikos Karnesis

This project is licensed under the Apache License - see the LICENSE.md file for details.

@software{michael_katz_2024_10930980,
  author       = {Michael Katz and
                  CChapmanbird and
                  Lorenzo Speri and
                  Nikolaos Karnesis and
                  Korsakova, Natalia},
  title        = {mikekatz04/LISAanalysistools: First main release.},
  month        = apr,
  year         = 2024,
  publisher    = {Zenodo},
  version      = {v1.0.3},
  doi          = {10.5281/zenodo.10930980},
  url          = {https://doi.org/10.5281/zenodo.10930980}
}