|DOI|_ |PyPI|_ |release|_ |pipeline|_
.. |DOI| image:: https://zenodo.org/badge/DOI/10.5281/zenodo.7738362.svg
.. _DOI: https://doi.org/10.5281/zenodo.7738362
.. |PyPI| image:: https://img.shields.io/pypi/v/emantis
.. _PyPI: https://pypi.org/project/emantis/
.. |release| image:: https://gitlab.obspm.fr/e-mantis/e-mantis/-/badges/release.svg
.. _release: https://gitlab.obspm.fr/e-mantis/e-mantis/-/releases
.. |pipeline| image:: https://gitlab.obspm.fr/e-mantis/e-mantis/badges/main/pipeline.svg
.. _pipeline: https://gitlab.obspm.fr/e-mantis/e-mantis/-/commits/main
e-MANTIS: Emulator for Multiple observable ANalysis in extended cosmological TheorIeS
=====================================================================================
.. contents:: Table of Contents
:local:
Description
-----------
e-MANTIS is a python package containing emulators providing theoretical predictions for the non-linear large-scale structure formation in the context of alternative dark energy and gravity theories.
It uses Gaussian processes to perform a fast and accurate interpolation between the outputs of high resolution cosmological :math:`N`-body simulations.
The emulator supports multiple cosmological models and observables.
It is divided in multiple modules, each one focusing on a particular type of observable.
Currently, e-MANTIS provides emulators for the following quantities:
* Matter power spectrum boost in f(R) gravity, described in: `The e-MANTIS emulator: fast predictions of the non-linear matter power spectrum in f(R)CDM cosmology <https://arxiv.org/abs/2303.08899>`_.
* Halo mass function in f(R)CDM and wCDM cosmologies, described in: `The e-MANTIS emulator: fast and accurate predictions of the halo mass function in f(R)CDM and wCDM cosmologies <https://arxiv.org/pdf/2410.05226>`_.
Please cite the corresponding papers if you use e-MANTIS in your work.
This project is under constant development.
More observables and cosmological models will be added in the future. Stay tuned!
Installation
------------
You can install the python package from `PyPI <https://pypi.org/project/emantis/>`_ via pip::
pip install emantis
Or you can directly clone our public `repository <https://gitlab.obspm.fr/e-mantis/e-mantis>`_ and install it from source::
git clone https://gitlab.obspm.fr/e-mantis/e-mantis.git
cd e-mantis
pip install [-e] .
It requires a python version >= 3.10.
Post-installation
-----------------
The emulators shipped with e-MANTIS need to be trained before they can provide predictions.
This will be done automatically and on-the-fly the first time you use each emulator.
Alternatively, we provide a CLI utility to train all emulators at once::
emantis-train
This should not take more than a couple of minutes.
The trained emulators are saved to disk, using the pickle protocol, ready for future usage.
Major changes in the versions of python, e-MANTIS, or some of its main dependencies, such as numpy, scipy, or scikit-learn, might break the compatibility with previously trained emulators.
In such case, the emulators will be retrained automatically on-the-fly.
You can also retrain them manually using the CLI utility.
Documentation and usage
-----------------------
The up-to-date documentation for this project (with code examples and a detailed API) is available `here <https://e-mantis.pages.obspm.fr/e-mantis/index.html>`_.
Licence
-------
Copyright (C) 2023 Iñigo Sáez-Casares
inigo.saez-casares@obspm.fr
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License
along with this program. If not, see https://www.gnu.org/licenses/.
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