treegp
Gaussian Processes using information from the 2-point correlation function and mean function
BSD-3-CLAUSE License
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Overview
treegp is a python gaussian process code that perform 1D and 2D interpolation.
treegp has some special features compared to other available Gaussian Processes codes:
-
Hyperparameters estimation will scale in O(N log(N)) with the the 2-points correlation function estimation compared to O(N^3) with the classical maximum likelihood.
-
Gaussian process interpolation can be performed around a mean function
-
A tool is provided to compute the mean function (
meanify)
treegp was originally developed for Point Spread Function interpolation within Piff <https://github.com/rmjarvis/Piff>. There is a specific article that describes the math used in treegp in the context of modelling astrometric shifts of the Subaru Telescope due to atmospheric turbulences. This article can be found
here <https://arxiv.org/abs/2103.09881>.
Installation
The easiest way to install is usually::
pip install treegp
which will install the latest released version.
If you would instead like to install the development version, you can do so via::
git clone https://github.com/PFLeget/treegp.git cd treegp/ python setup.py install
Dependencies
treegp has for now the following dependencies (see the quick
installs below):
- libraries listed in the
requirements <requirements.txt>_ file
Python
``treegp`` is regularly tested on Python 3.8, 3.9, 3.10, and 3.11. It may work in other
versions of Python (e.g. pypy), but these are not currently supported.