Skip to main content

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

Project description

enterprise

PyPI Conda (channel only) Build Status Documentation Status Test Coverage Python Versions

Zenodo DOI 4059815

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.

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

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.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

enterprise_pulsar-3.4.2.tar.gz (16.0 MB view details)

Uploaded Source

Built Distribution

enterprise_pulsar-3.4.2-py2.py3-none-any.whl (9.3 MB view details)

Uploaded Python 2 Python 3

File details

Details for the file enterprise_pulsar-3.4.2.tar.gz.

File metadata

  • Download URL: enterprise_pulsar-3.4.2.tar.gz
  • Upload date:
  • Size: 16.0 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.1.1 CPython/3.12.6

File hashes

Hashes for enterprise_pulsar-3.4.2.tar.gz
Algorithm Hash digest
SHA256 2577e2e84171ce25d1c490604c2ad7e5ea0ec58b5c838a45474b98e78d73e08c
MD5 c404f31dcaf1e430520430e3efbf7cb4
BLAKE2b-256 95381e023ba0d77b1ef7bf547cda4ab13b37c8d5aa7923fdbce33c8ab55d59f3

See more details on using hashes here.

File details

Details for the file enterprise_pulsar-3.4.2-py2.py3-none-any.whl.

File metadata

File hashes

Hashes for enterprise_pulsar-3.4.2-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 cc19ecd76745a6291e48f2b274066be3ee4a39432023cc2fce16b30054aa59ee
MD5 b8afee89e34273bae816fb2851001279
BLAKE2b-256 4231b73683378fce69f1b913536375e7bc71652e5240b1c716b4d05476248c07

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page