enterprise-pulsar 3.4.4

ENTERPRISE (Enhanced Numerical Toolbox Enabling a Robust PulsaR Inference SuitE)

enterprise

ENTERPRISE (Enhanced Numerical Toolbox Enabling a Robust PulsaR Inference SuitE) is a pulsar timing analysis code, aimed at noise analysis, gravitational-wave searches, and timing model analysis.

• Note: enterprise>=3.0 does not support Python2.7. You must use Python >= 3.8.
• Free software: MIT license
• Documentation: https://enterprise.readthedocs.io.

Installation

To install via pip, some non-python dependencies are required. See the libstempo and scikit-sparse documentation for more info on how to install these dependencies. Once these are installed, you can do

pip install enterprise-pulsar

To install via conda, simply do

conda install -c conda-forge enterprise-pulsar

Installing libstempo on Apple Silicon (arm64 architecture)

libstempo is no longer a requirement to install enterprise. However, if installing libstempo is desired, it is only available on osx-64 architectures which is not compatible with arm64 architectures. To install libstempo and enterprise on arm64 via conda, your new conda environment must be configured correctly. Follow the following commands:

CONDA_SUBDIR=osx-64 conda create -c conda-forge -n pta_software python=3.12
conda activate pta_software
conda config --env --set subdir osx-64

Attribution

If you make use of this software, please cite it:

Ellis, J. A., Vallisneri, M., Taylor, S. R., & Baker, P. T. (2020, September 29). ENTERPRISE: Enhanced Numerical Toolbox Enabling a Robust PulsaR Inference SuitE (v3.0.0). Zenodo. http://doi.org/10.5281/zenodo.4059815


@misc{enterprise,
  author       = {Justin A. Ellis and Michele Vallisneri and Stephen R. Taylor and Paul T. Baker},
  title        = {ENTERPRISE: Enhanced Numerical Toolbox Enabling a Robust PulsaR Inference SuitE},
  month        = sep,
  year         = 2020,
  howpublished = {Zenodo},
  doi          = {10.5281/zenodo.4059815},
  url          = {https://doi.org/10.5281/zenodo.4059815}
}

Credits

This package was created with Cookiecutter and the audreyr/cookiecutter-pypackage project template.