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 details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

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

Uploaded Python 3

File details

Details for the file iCCF-0.3.12.tar.gz.

File metadata

  • Download URL: iCCF-0.3.12.tar.gz
  • Upload date:
  • Size: 38.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.18

File hashes

Hashes for iCCF-0.3.12.tar.gz
Algorithm Hash digest
SHA256 05ef104a2b488b19e6d0ad93a125a2e182f1b6fb0b54a6620502b302f6488144
MD5 34cc9b79de6e295180b233e30a9a580d
BLAKE2b-256 50f16783f96bf2dbf4f85673fedb476a40491bbf6b664e07748fc83dfa5a9dfe

See more details on using hashes here.

File details

Details for the file iCCF-0.3.12-py3-none-any.whl.

File metadata

  • Download URL: iCCF-0.3.12-py3-none-any.whl
  • Upload date:
  • Size: 42.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.18

File hashes

Hashes for iCCF-0.3.12-py3-none-any.whl
Algorithm Hash digest
SHA256 9f1ae8930a08053531fd66a255367be983d3a7d945ddf0476f1bb6a126e5b9e2
MD5 41308d90c6296c2aec9eac3818e8b74c
BLAKE2b-256 03df4f247927e8e7db6fd1f11ab960ad5f3d75c8fc82e4b4c6c810c3d0e36611

See more details on using hashes here.

Supported by

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