MAUS: the MICE analysis user software

Asfandiyarov, R; Bayes, R; Blackmore, V; Bogomilov, M; Colling, 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; Nugent, JC; Overton, E; Pec, V; Pidcott, CE; Rajaram, D; Rayner, M; Rogers, CT; Savic, M; Taylor, I; Torun, YT; Tunnell, CD; Uchida, MA; Verguilov, V; Walaron, K; Winter, M; Wilbur, S

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Persistent URL	http://purl.org/net/epubs/work/40018289
Record Status	Checked
Record Id	40018289
Title	MAUS: the MICE analysis user software
Contributors	R Asfandiyarov, R Bayes, V Blackmore, M Bogomilov, D Colling, AJ Dobbs, F Drielsma, M Drews, M Ellis, M Fedorov, P Franchini, R Gardener, JR Greis, PM Hanlet, C Heidt, C Hunt, G Kafka, Y Karadzhov, A Kurup, P Kyberd, M Littlefield, A Liu, K Long, D Maletic, J Martyniak, S Middleton, T Mohayai, JC Nugent, E Overton, V Pec, CE Pidcott, D Rajaram, M Rayner, CT Rogers (STFC Rutherford Appleton Lab.), M Savic, I Taylor, YT Torun, CD Tunnell, MA Uchida, V Verguilov, K Walaron, M Winter, S Wilbur
Abstract	The Muon Ionization Cooling Experiment (MICE) collaboration has developed the MICE Analysis User Software (MAUS) to simulate and analyse 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.
Organisation	ISIS , PPD , STFC
Keywords
Funding Information
Related Research Object(s):	42735029
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Language	English (EN)

Type	Details	URI(s)	Local file(s)	Year
Preprint	RAL Preprints RAL-P-2018-007, JINST STFC, 2018.		RAL-P-2018-007.pdf	2018