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.
Install / Use
/learn @nanograv/EnterpriseREADME
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>=3.0does 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.
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