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Scalable 1D Gaussian Processes in C++, Python, and Julia

Home Page: http://celerite.rtfd.io

License: MIT License

Shell 1.53% Python 38.93% C++ 45.74% Jupyter Notebook 6.65% CMake 7.14%

celerite's Introduction

celerite โ€” Scalable 1D Gaussian Processes in C++, Python, and Julia

Read the documentation at: celerite.rtfd.io.

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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 papers:

@article{genrp,
     author = {Sivaram Ambikasaran},
      title = {Generalized Rybicki Press algorithm},
       year = {2015},
    journal = {Numer. Linear Algebra Appl.},
     volume = {22},
     number = {6},
      pages = {1102--1114},
        doi = {10.1002/nla.2003},
        url = {https://arxiv.org/abs/1409.7852}
}

@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 = {ArXiv},
       url = {https://arxiv.org/abs/1703.09710}
}

celerite's People

Contributors

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Watchers

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