|a| is the main component of the Bayesian Large Scale Structure inference pipeline. The present version of the ARES framework is 2.1. Please consult :ref:`CHANGES overview` for an overview of the different improvements over the different versions. |a| 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 ----------------- .. toctree:: :maxdepth: 1 :caption: Theory theory/ARES theory/BORG theory/ARES&BORG_FFT_normalization .. toctree:: :maxdepth: 1 :caption: User documentation changes user/building user/inputs user/outputs user/running user/postprocessing user/extras user/clusters .. toctree:: :maxdepth: 1 :caption: Developer documentation developer/development_with_git developer/code_architecture developer/life_cycles_of_objects developer/ares_modules developer/code_tutorials developer/contributing_to_this_documentation developer/copyright_and_authorship Citing ------ If you are using |a| for your project, please cite the following articles for ARES2 and ARES3: * Jasche, Kitaura, Wandelt, 2010, MNRAS, 406, 1 (arxiv 0911.2493) * Jasche & Lavaux, 2015, MNRAS, 447, 2 (arxiv 1402.1763) * Lavaux & Jasche, 2016, MNRAS, 455, 3 (arxiv 1509.05040) * Jasche & Lavaux, 2019, A&A, 625, A64 (arxiv 1806.11117) However, bear in mind that depending on the features that you are using you may want to cite other papers as well. Here is a non-exhaustive list of those articles: * Model development: * HADES epoch: * HMC, exponential transform, linear bias: Jasche, Kitaura, Wandelt, 2010, 406, 1 (arXiv 0911.2493) * HMC, exponential transform, power law bias: * Jasche, Leclercq, Wandelt, 2015 * Jasche, Wandelt, 2012, MNRAS, 425, 1042 (arXiv 1106.2757) * Foreground/Robustification: * Jasche, Lavaux, 2017, A&A (arXiv:1706.08971) * Porqueres, Kodi Ramanah, Jasche, Lavaux, 2019, A&A (arXiv: 1812.05113) * Cosmic expansion model: * Kodi Ramanah, Lavaux, Jasche, Wandelt, 2019, A&A (arXiv: 1808.07496) * Photometric redshifts * HADES with Photo-Z: Jasche & Wandelt, 2012, MNRAS, 425, 1042 (arXiv: 1106.2757) * Galaxy shear: * Porqueres, Heavens, Mortlock & Lavaux, 2021, MNRAS, 502, 3035 (arXiv 2011.07722) * Porqueres, Heavens, Mortlock & Lavaux, 2022, MNRAS, 509, 3194 (arXiv 2108.04825) * Cosmic velocity field: * Prideaux-Ghee, Leclercq, Lavaux, Heavens, Jasche, 2022, MNRAS (arXiv: 2204.00023) * Boruah, Lavaux, Hudson, 2022, MNRAS (arXiv 2111.15535) * BORG-PM * Jasche & Lavaux, 2019, A&A, 625, A64 (arXiv 1806.11117) * EFT bias model and likelihood * Schmidt, Elsner, Jasche, Nguyen, Lavaux, JCAP 01, 042 (2019) (arXiv:1808.02002) * Schmidt, Cabass, Jasche, Lavaux, JCAP 11, 008 (2020) (arXiv:2004.06707) * Data applications * SDSS Main Galaxy sample: * SDSS3 LRG sample: * Lavaux, Jasche & Leclercq, 2019, arXiv:1909.06396 * 2M++ sample: * Lavaux & Jasche, 2016, MNRAS, 455, 3 (arXiv 1509.05040) * Jasche & Lavaux, 2019, A&A, 625, A64 (arXiv 1806.11117) *HADES* and *BORG* papers have a different listing. For a full listing of publications from the Aquila consortium, please check the `Aquila website `_. 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. .. Indices and tables .. ================== .. .. * :ref:`genindex` .. * :ref:`modindex` .. * :ref:`search` .. Order of headings used throughout the documentation: ######### part ********* chapter ========= sections --------- subsections ~~~~~~~~~ subsubsections ^^^^^^^^^ ''''''''' .. toctree-filt:: :maxdepth: 1 :caption: Python reference documentation :aquila:pythonref.rst