Analysis of CCF profiles and activity indicators
Project description
This is 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
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.
- 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-0.3.6.tar.gz
(24.6 kB
view details)
File details
Details for the file iCCF-0.3.6.tar.gz.
File metadata
- Download URL: iCCF-0.3.6.tar.gz
- Upload date:
- Size: 24.6 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.1.3 requests-toolbelt/0.9.1 tqdm/4.45.0 CPython/3.6.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
ca2b8b58bcb2390251f444cfbcabfece44a230ecaa01ee2f9cec11214b5d901f
|
|
| MD5 |
c1747c306847360d18c0b9495c774099
|
|
| BLAKE2b-256 |
5eb7a91572131c5be0f2bf89878faa4ef489c479a68931bed6760de0635a0a28
|