ARES is the main component of the Bayesian Large Scale Structure inference pipeline. The present version of the ARES framework is 2.1. Please consult Release notes for an overview of the different improvements over the different versions.

ARES is written in C++14 and has been parallelized with OpenMP and MPI. It currently compiles with major compilers (gcc, intel, clang).

Table of contents

Citing

The following section gives the references for the |ares|, |hades|, and |borg| algorithms and codes (including their direct application to real data, but excluding further scientific exploitation). For the full list of publications from the Aquila consortium, please check the Aquila website.

ARES

References for the |ares| algorithm (linear data model, Wiener filtering with Gibbs sampling/messenger field) are the following papers:

HADES

References for the |hades| algorithm (log-normal data model, Hamiltonian Monte Carlo sampling, photometric redshift inference) are the following papers:

BORG

Methodological papers that shall be cited when referring to the |borg| algorithm (inference with a structure formation model and Hamiltonian Monte Carlo) are the following:

Data application papers of |borg| are the following:

Additional papers extend the |borg| algorithm and shall be cited depending on the context. The list includes (but may not be limited to):

Acknowledgements

This work has been funded by the following grants and institutions over the years:

  • The DFG cluster of excellence “Origin and Structure of the Universe” (http://www.universe-cluster.de).

  • Institut Lagrange de Paris (grant ANR-10-LABX-63, http://ilp.upmc.fr) within the context of the Idex SUPER subsidized by the French government through the Agence Nationale de la Recherche (ANR-11-IDEX-0004-02).

  • BIG4 (ANR-16-CE23-0002) (https://big4.iap.fr)

  • The “Programme National de Cosmologie et Galaxies” (PNCG, CNRS/INSU)

  • Through the grant code ORIGIN, it has received support from the “Domaine d’Interet Majeur (DIM) Astrophysique et Conditions d’Apparitions de la Vie (ACAV)” from Ile-de-France region.

  • The Starting Grant (ERC-2015-STG 678652) “GrInflaGal” of the European Research Council.