MAUS: the MICE analysis user software
File(s)1812.02674v3.pdf (1020.46 KB)
Accepted version
Author(s)
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
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
Date Issued
2019-04-30
Date Acceptance
2019-04-15
Citation
Journal of Instrumentation, 2019, 14, pp.1-21
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
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)
Identifier
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000467009500001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
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
Subjects
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
Publication Status
Published
Article Number
ARTN T04005
Date Publish Online
2019-04-30