Skip to main content

Analysis of CCF profiles and activity indicators

Project description

An implementation of common line profile indicators measured from the cross-correlation function (CCF).

Build Status License: MIT PyPI version Funding PT

To install

Directly from PyPI

pip install iCCF

Or from source

git clone https://github.com/j-faria/iCCF.git
cd iCCF
python setup.py install 

You can append --user to both commands (pip and python ...) in case you don't have root access.

All the indicators are based on the works of others. Please cite these works if you use iCCF.

See also

  • Similar codes were developed by Figueira et al. A&A 557, A93 (2013)
    with a Python package available here (described in Appendix A of Santos et al. A&A 566, A35 (2014))

  • A similar package (in IDL) was developed by Lanza et al. A&A 616, A155 (2018).
    It is available here.

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

iCCF-0.3.12.tar.gz (38.4 kB view hashes)

Uploaded Source

Built Distribution

iCCF-0.3.12-py3-none-any.whl (42.7 kB view hashes)

Uploaded Python 3

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