This project has been superseded by celerite2. This project will continue to be maintained at a basic level, but no new features will be added and I have limited capacity so you’re encouraged to check out the new version.
celerite: Scalable 1D Gaussian Processes in C++, Python, and Julia
Read the documentation at: celerite.rtfd.io.
The Julia implementation is being developed in a different repository: ericagol/celerite.jl. Issues related to that implementation should be opened there.
If you make use of this code, please cite the following paper:
@article{celerite,
author = {{Foreman-Mackey}, D. and {Agol}, E. and {Angus}, R. and
{Ambikasaran}, S.},
title = {Fast and scalable Gaussian process modeling
with applications to astronomical time series},
year = {2017},
journal = {AJ},
volume = {154},
pages = {220},
doi = {10.3847/1538-3881/aa9332},
url = {https://arxiv.org/abs/1703.09710}
}
Metadata
Release files for celerite 0.4.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| celerite-0.4.3.tar.gz | 14.2 MB | Without provenance | Details for celerite-0.4.3.tar.gz |
Built distributions (wheels)
Total release size: 24.6 MB
Release files / celerite-0.4.3.tar.gz
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