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High performance Cosmic Microwave Background (CMB) data analysis library
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B3Dcmb/midapack
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Midapack library, release 1.0, December 2011. release 1.1b, July 2012. release 2.0, January 2020. ACKNOWLEDGMENT: This work has been supported in part by French National Research Agency (ANR) through COSINUS program through projects: ANR-MIDAS09 no. ANR-09-COSI-009 : http:https://www.apc.univ-paris7.fr/APC_CS/Recherche/Adamis/MIDAS09/index.html ANR-B3DCMB no. ANR-17-C23-0002-01 : http:https://b3dcmb.in2p3.fr/ Motivation ---------- The aim of the CMB DA library is to provide high performance, massively parallel, and portable analysis tools suitable for Cosmic Microwave Background (CMB) data analysis and thus addressing the existing gap between the low level numerical libraries, such as FFTW, SCALAPACK, LAPACK, PLASMA, etc, and high level tools needed to analyze actual CMB data. The library is designed to provide all essential functionality needed for the CMB data analysis. It will include new algorithm solutions and their implementation, capable of dealing with the huge data volumes, while giving the user flexibility in constructing their own codes according to their preferences and instrument and data characteristics. The library comes with example codes stored in the directory 'test'. Notably, since version 2.0 these include a fully-fledged, massively parallel map-making code, MAPPRAISER. Getting some more information ----------------------------- You can download the last release from github: https://github.com/B3Dcmb/midapack and find an online manual (currently only available for version 1.1b) at: https://b3dcmb.github.io/midapack/ The novel features of version 2.0 are described in detail in the MAPPRAISER software release paper: https://arxiv.org/abs/2112.03370 Project collaborators --------------------- MIDAPACK is a product of a collaboration between members of the cosmology group at Laboratoire AstroParticule et Cosmologie (UMR7164), Centre Pierre Binétruy (IRL2007) and Alpines team at INRIA-Paris. The full list of collaborators, including application scientists, validators, etc, can be found: 2019-: http:https://b3dcmb.in2p3.fr/?page_id=405 2009-2012: http:https://www.apc.univ-paris7.fr/APC_CS/Recherche/Adamis/MIDAS09/partners.html Development Team ---------------- 2019-: Hamza El Bouhargani Thibault Cimic Aygul Jamal Laura Grigori (coordinator) Radek Stompor (coordinator) 2015: Sebastien Cayrols Laura Grigori (coordinator) Radek Stompor (coordinator) 2009-2012: Pierre Cargemel Frederic Dauvergne Maude Le Jeune Antoine Rogier Laura Grigori (coordinator) Radek Stompor (coordinator) How to use it ------------- This software is reported to work on several Linux distributions and should work on any modern Unix-like system after minimal porting efforts. The source code is delivered in a set of directories: - The /src directory contains the sources files for the core low-level library. It's composed by the differents modules of the Midapack library (please refer to the website for more details). You can directly compile theses files and link the generated binaries with your own program. - The /test directory contains some Utility/demonstration programs to show some examples of how to use the library fonctionnalities. It also contains the MAPPRAISER package found under the /mapmaking directory. For more details please check: - The online documentation for version 1.1b: https://b3dcmb.github.io/midapack/ - The MAPPRAISER software release paper: https://arxiv.org/abs/2112.03370
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High performance Cosmic Microwave Background (CMB) data analysis library