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MAUS: the MICE analysis user software
File | Description | Size | Format | |
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1812.02674v3.pdf | Accepted version | 1.02 MB | Adobe PDF | View/Open |
Title: | MAUS: the MICE analysis user software |
Authors: | Asfandiyarov, R Bayes, R Blackmore, V Bogomilov, M Coiling, D Dobbs, AJ Drielsma, F Drews, M Ellis, M Fedorov, M Franchini, P Gardener, R Greis, JR Hanlet, PM Heidt, C Hunt, C Kafka, G Karadzhov, Y Kurup, A Kyberd, P Littlefield, M Liu, A Long, K Maletic, D Martyniak, J Middleton, S Mohayai, T Nebrensky, JJ Nugent, JC Overton, E Pec, V Pidcott, CE Rajaram, D Rayner, M Reid, ID Rogers, CT Santos, E Savic, M Taylor, I Torun, Y Tunnell, CD Uchida, MA Verguilov, V Walaron, K Winter, M Wilbur, S |
Item Type: | Journal Article |
Abstract: | The Muon Ionization Cooling Experiment (MICE) collaboration has developed the MICE Analysis User Software (MAUS) to simulate and analyze experimental data. It serves as the primary codebase for the experiment, providing for offline batch simulation and reconstruction as well as online data quality checks. The software provides both traditional particle-physics functionalities such as track reconstruction and particle identification, and accelerator physics functions, such as calculating transfer matrices and emittances. The code design is object orientated, but has a top-level structure based on the Map-Reduce model. This allows for parallelization to support live data reconstruction during data-taking operations. MAUS allows users to develop in either Python or C++ and provides APIs for both. Various software engineering practices from industry are also used to ensure correct and maintainable code, including style, unit and integration tests, continuous integration and load testing, code reviews, and distributed version control. The software framework and the simulation and reconstruction capabilities are described |
Issue Date: | 30-Apr-2019 |
Date of Acceptance: | 15-Apr-2019 |
URI: | http://hdl.handle.net/10044/1/71717 |
DOI: | https://doi.org/10.1088/1748-0221/14/04/T04005 |
ISSN: | 1748-0221 |
Publisher: | IOP Publishing |
Start Page: | 1 |
End Page: | 21 |
Journal / Book Title: | Journal of Instrumentation |
Volume: | 14 |
Copyright Statement: | © 2019 IOP Publishing Ltd and Sissa Medialab. This is an author-created, un-copyedited version of an article accepted for publication in Journal of Instrumentation. IOP Publishing Ltd is not responsible for any errors or omissions in this version of the manuscript or any version derived from it. The definitive publisher authenticated version is available online at https://doi.org/10.1088/1748-0221/14/04/T04005. |
Sponsor/Funder: | Particle Physics and Astronomy Research Council (PPARC) Particle Physics and Astronomy Research Council (PPARC) Particle Physics and Astronomy Research Council (PPARC) The Royal Society Council for the Central Laboratory of the Research Councils' (CCLRC) Science and Technology Facilities Council (STFC) Science and Technology Facilities Council (STFC) Science and Technology Facilities Council (STFC) Science and Technology Facilities Council (STFC) Science and Technology Facilities Council (STFC) Science and Technology Facilities Council (STFC) Science and Technology Facilities Council (STFC) Science and Technology Facilities Council (STFC) Science and Technology Facilities Council (STFC) Science and Technology Facilities Council (STFC) Science and Technology Facilities Council (STFC) Science and Technology Facilities Council (STFC) |
Funder's Grant Number: | PP/B500882/1 PP/B500890/1 PPA/V/S/2002/00452 NC/JP/16367 MICE-UK 1/05 PP/E000509/1 PP/E003192/1 ST/H000992/1 ST/H001735/1 MICE/UKNF ST/H000992/2 ST/J002097/1 MICE/UKNF ST/K001604/1 PR1200SB ST/L006359/1 PR120056 ST/N003357/1 ST/P001203/1 |
Keywords: | Science & Technology Technology Instruments & Instrumentation Data reduction methods Simulation methods and programs Software architectures (event data models, frameworks and databases) Accelerator modelling and simulations (multiparticle dynamics; single-particle dynamics) SIMULATION GEOMETRY PHYSICS physics.comp-ph physics.comp-ph Science & Technology Technology Instruments & Instrumentation Data reduction methods Simulation methods and programs Software architectures (event data models, frameworks and databases) Accelerator modelling and simulations (multiparticle dynamics; single-particle dynamics) SIMULATION GEOMETRY PHYSICS Nuclear & Particles Physics |
Publication Status: | Published |
Article Number: | ARTN T04005 |
Online Publication Date: | 2019-04-30 |
Appears in Collections: | Physics High Energy Physics |