Analysis of CCF profiles and activity indicators
Project description
An implementation of common line profile indicators measured from the cross-correlation function (CCF).
To install
Directly from PyPI
pip install iCCF
Or from source
git clone https://github.com/j-faria/iCCF.git
cd iCCF
pip install -e .
All the indicators are based on the works of others. Please cite these works if you use iCCF.
- Queloz et al 2001
- Boisse et al 2011
- Nardetto et al 2006
- Figueira et al 2013
- Santerne et al 2015
- Lanza et al 2018
See also
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
iccf-0.3.18.tar.gz
(2.3 MB
view details)
Built Distribution
iCCF-0.3.18-py3-none-any.whl
(2.3 MB
view details)
File details
Details for the file iccf-0.3.18.tar.gz
.
File metadata
- Download URL: iccf-0.3.18.tar.gz
- Upload date:
- Size: 2.3 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.9.20
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 0c9c97a4c445c18ffe7a40b96fb3e8b3422135a4081b39a939f541a436fcb7f1 |
|
MD5 | 384ba555a6d60dab80bdf612ca06cdc8 |
|
BLAKE2b-256 | 3a15750241073f1c7f1ff4421f195d15390f83b31acbf7b7cf9c36f6e9212d4e |
File details
Details for the file iCCF-0.3.18-py3-none-any.whl
.
File metadata
- Download URL: iCCF-0.3.18-py3-none-any.whl
- Upload date:
- Size: 2.3 MB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.9.20
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | ca9611a7a2296a6d40c56a20a8f6b1741257d41281142a4c4df62b7ea8d4fe44 |
|
MD5 | aba42d343fc784d3a7f049147644f63b |
|
BLAKE2b-256 | 60308a09dba4af3ad37e03429cc6c22f0a46bdfc23c7f74fe5898f593c856e4f |