Metadata-Version: 2.1
Name: poplar
Version: 0.1.0
Summary: A python package for modelling selection effects with machine learning
Author-email: Christian Chapman-Bird <c.chapman-bird.1@research.gla.ac.uk>
License: GPL-3.0-or-later
Project-URL: Bug Tracker, https://github.com/CChapmanbird/poplar/issues
Project-URL: Source Code, https://github.com/CChapmanbird/poplar
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: GNU General Public License v3 or later (GPLv3+)
Classifier: Natural Language :: English
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Topic :: Scientific/Engineering :: Astronomy
Classifier: Topic :: Scientific/Engineering :: Physics
Requires-Python: >=3.8
Description-Content-Type: text/markdown
License-File: LICENSE

[![Documentation Status](https://readthedocs.org/projects/poplar/badge/?version=latest)](https://poplar.readthedocs.io/en/latest/)
[![License: GPL v3](https://img.shields.io/badge/License-GPLv3-blue.svg)](https://www.gnu.org/licenses/gpl-3.0)
# poplar
Augmenting selection bias modelling with machine learning for big speedups.

The methodology behind this package is introduced in [arXiv:2212.06166](https://arxiv.org/abs/2212.06166) for the specific case of modelling selection biases in extreme mass ratio inspiral (EMRI) populations. If you use this package in your work, please cite this paper.
