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
Release files for iCCF 0.4.15
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| iccf-0.4.15.tar.gz | 3.3 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| iccf-0.4.15-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 6.2 MB
Release files / iccf-0.4.15.tar.gz
| Download URL | iccf-0.4.15.tar.gz |
|---|---|
| Size | 3.3 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Release files / iccf-0.4.15-py3-none-any.whl
| Download URL | iccf-0.4.15-py3-none-any.whl |
|---|---|
| Size | 2.9 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.9.25
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