Electron-muon ranger: performance in the MICE muon beam

Adams, D.; Alekou, A.; Apollonio, M.; Asfandiyarov, R.; Barber, G.; Barclay, Paul E.; Bari, A. de; Bayes, R.; Bayliss, V.; Béné, P.; Bertoni, R.; Blackmore, V.; Blondel, A.; Blot, Summer; Bogomilov, M.; Bonesini, M.; Booth, Campbell; Bowring, D.; Boyd, S. B.; Bradshaw, T.; Bravar, U.; Bross, A.; Cadoux, F.; Capponi, M.; Carlisle, T.; Cecchet, G.; Charnley, C.; Chignoli, F.; Cline, D.; Cobb, J.H.; Colling, G.; Collomb, N.; Coney, L.; Cooke, P.; Courthold, M.; Cremaldi, L.; Débieux, S.; DeMello, A.; Dick, Alexander; Dobbs, A.; Dornan, P. J.; Drielsma, F.; Filthaut, F.; Fitzpatrick, Thérésa Bridget; Franchini, P.; Francis, V.; Fry, L.; Gallagher, A. C.; Gamet, R.; Gardener, R.; Gourlay, S.A.; Grant, A.; Graulich, J.S.; Greis, J.R.; Griffiths, S.; Hanlet, P.; Hansen, O.; Hanson, G.; Hart, T.; Hartnett, T.; Hayler, T.; Heidt, C.; Hills, M.; Hodgson, P.; Hunt, C.; Husi, C.; Iaciofano, A.; Ishimoto, S.; Kafka, G.; Kaplan, Daniel M.; Karadzhov, Y.; Kim, Y.K.; Kuno, Y.; Kyberd, P.; Lagrange, Jean-Baptiste; Langlands, J.; Lau, W.; Леонова, М. А.; Li, D.; Lintern, A.L.; Littlefield, M.; Long, K.; Luo, Tianhuan; Macwaters, C.; Martlew, B.; Martyniak, J.; Masciocchi, F.; Mazza, R.; Middleton, S.; Moretti, A.; Moss, A.; Muir, A.; Mullacrane, I.; Nebrensky, JJ; Neuffer, D.; Nichols, A.; Nicholson, R. J.; Nicola, L.; Messomo, Etam Noah; Nugent, J. C.; Oates, A.; Onel, Y.; Orestano, D.; Overton, Edward B.; Owens, P.; Palladino, V.; Pasternak, J.; Pastore, F.; Pidcott, C.; Popovic, M.; Preece, R.; Prestemon, S.; Rajaram, D.; Ramberger, S.; Rayner, M.; Ricciardi, S.; Roberts, Thomas J.; Robinson, Mark A.; Rogers, C.; Ronald, K.; Rothenfusser, K.; Rubinov, P.; Rucinski, P.; Sakamato, H.; Sanders, D. A.; Sandström, R.; Santos, E.; Savidge, T.; Smith, Peter J.; Snopok, P.; Soler, F. J. P.; Speirs, D. C.; Stanley, T.; Stokes, G.; Summers, D. J.; Tarrant, J.; Taylor, Ian; Tortora, L.; Torun, Y.; Tsenov, R.; Tunnell, C.; Uchida, M. A.; Vankova-Kirilova, G.; Virostek, Steve; Vretenar, M.; Warburton, PA; Watson, S.; White, Christopher; Whyte, C.G.; Wilson, A.; Wisting, H.; Yang, Xinzheng; Young, Alan R.; Zisman, Michael S.

doi:10.1088/1748-0221/10/12/p12012

Cited by 15 publications

(21 citation statements)

References 14 publications

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“…The MICE Muon Beam line is described in detail in [4]. There are 5 different detector systems present on the beamline: time-of-flight (TOF) scintillators [6], threshold Cherenkov (Ckov) counters [13], scintillating-fiber trackers [14], a sampling calorimeter (KL) [8,9], and the Electron Muon Ranger (EMR) -a totally active scintillating calorimeter [10,11]. The TOF, Ckov, KL and EMR detectors are used for particle identification (PID), and the scintillating-fiber trackers are used to measure position and momentum.…”

Section: The Mice Experimentsmentioning

confidence: 99%

MAUS: the MICE analysis user software

et al. 2019

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A: 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.

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Section: The Mice Experimentsmentioning

confidence: 99%

MAUS: the MICE analysis user software

et al. 2019

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“…It consists of an Absorber Focus Coil (AFC) located between two measurement stations. These stations are composed of particle identification suites including a total of three time-of-flight detectors (TOFs) [8], two Cherenkov detectors (Ckova and Ckovb) [9], a KLOE-type sampling calorimeter (KL) [10] and an Electron Muon Ranger (EMR) [11]. Each station has a Tracker with five planes of scintillating fibres inside a 4 T Spectrometer Solenoid (SS) to measure track and momentum information (x, y, p x and p y ), so as to reconstruct the emittance before and after cooling.…”

Section: Mice Beam Line and Experimentsmentioning

confidence: 99%

Recent Results from MICE on Multiple Coulomb Scattering and Energy Loss

Nugent¹

2019

Proceedings of the 20th International Workshop on Neutrinos — PoS(NuFACT2018)

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Multiple coulomb scattering and energy loss are well known phenomena experienced by charged particles as they traverse a material. This is of particular interest to the Muon Ionization Cooling Experiment (MICE) collaboration which has the goal of measuring the reduction of the emittance of a muon beam induced by energy loss in low Z absorbers. MICE took data without magnetic field suitable for multiple scattering measurements in the spring of 2016 using a lithium hydride absorber. The scattering data are compared with the predictions of various models, including the default GEANT4 model.

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“…MICE is a staged experiment, built and run in distinct steps. The first step of the programme, consisting of the muon beam line with particle identification, is now complete and results are available in [6][7][8][9]. The present step of the program, which introduced the trackers and the first absorber module, began taking data in 2015.…”

Section: Overviewmentioning

confidence: 99%

The reconstruction software for the MICE scintillating fibre trackers

et al. 2016

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The Muon Ionization Cooling Experiment (MICE) will demonstrate the principle of muon beam phase-space reduction via ionization cooling. Muon beam cooling will be required for the proposed Neutrino Factory or Muon Collider. The phase-space before and after the cooling cell must be measured precisely. This is achieved using two scintillating-fibre trackers, each placed in a solenoidal magnetic field. This paper describes the software reconstruction for the fibre trackers: the GEANT4 based simulation; the implementation of the geometry; digitisation; space-point reconstruction; pattern recognition; and the final track fit based on a Kalman filter. The performance of the software is evaluated by means of Monte Carlo studies and the precision of the final track reconstruction is evaluated.

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Electron-muon ranger: performance in the MICE muon beam

Cited by 15 publications

References 14 publications

MAUS: the MICE analysis user software

MAUS: the MICE analysis user software

Recent Results from MICE on Multiple Coulomb Scattering and Energy Loss

The reconstruction software for the MICE scintillating fibre trackers

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