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Charged-particle tracking in the international Muon Ionisation Cooling Experiment (MICE) will be performed using two solenoidal spectrometers, each instrumented with a tracking detector based on 350 {\mu}m diameter scintillating fibres. The…

The MuCool R&D program is described. The aim of MuCool is to develop all key pieces of hardware required for ionization cooling of a muon beam. This effort will lead to a more detailed understanding of the construction and operating costs…

Accelerator Physics · Physics 2009-09-29 Daniel M. Kaplan

The MUon Scattering Experiment (MUSE) was motivated by the proton radius puzzle arising from the discrepancy between muonic hydrogen spectroscopy and electron-proton measurements. The MUSE physics goals also include testing lepton…

The MuCool R&D program is described. The aim of MuCool is to develop all key pieces of hardware required for ionization cooling of a muon beam. This effort will lead to a more detailed understanding of the construction and operating costs…

Accelerator Physics · Physics 2019-08-14 Daniel M. Kaplan

In many settings it is critical to accurately model the extreme tail behaviour of a random process. Non-parametric density estimation methods are commonly implemented as exploratory data analysis techniques for this purpose as they possess…

Methodology · Statistics 2022-03-04 Boris Beranger , Tarn Duong , Sarah E. Perkins-Kirkpatrick , Scott A. Sisson

Small muon beams increase the luminosity of a muon collider. Reducing the momentum and position spreads of muons reduces emittance and leads to small, cool beams. Ionization cooling has been observed at the Muon Ionization Cooling…

Cooling of muon beams for the next-generation lepton collider is necessary to achieve its higher luminosity with fewer muons. In this paper we present an idea to combine ionization cooling with parametric resonances that is expected to lead…

Accelerator Physics · Physics 2012-05-16 Ya. S. Derbenev , V. S. Morozov , A. Afanasev , K. B. Beard , R. Johnson , B. Erdelyi , J. A. Maloney

In this paper, we introduce a robust nonparametric density estimator combining the popular Kernel Density Estimation method and the Median-of-Means principle (MoM-KDE). This estimator is shown to achieve robustness to any kind of anomalous…

Statistics Theory · Mathematics 2020-07-01 Pierre Humbert , Batiste Le Bars , Ludovic Minvielle , Nicolas Vayatis

In this paper, Kernel Density Estimation (KDE) as a non-parametric estimation method is used to investigate statistical properties of nuclear spectra. The deviation to regular or chaotic dynamics, is exhibited by closer distances to Poisson…

Nuclear Theory · Physics 2011-12-13 M. A. Jafarizadeh , N. Fouladi , H. Sabri , B. Rashidian Maleki

A nonparametric kernel density estimator for directional-linear data is introduced. The proposal is based on a product kernel accounting for the different nature of both (directional and linear) components of the random vector. Expressions…

Muon-Induced X-ray Emission (MIXE) is a non-destructive analytical technique that leverages negative muons to probe elemental and isotopic compositions by detecting characteristic muonic X-rays emitted during atomic cascades and gamma rays…

The MUonE experiment proposes a novel approach to determine the leading hadronic contribution to the muon g-2, from a precise measurement of the differential cross section of the $\mu-e$ elastic scattering, achievable by using the CERN SPS…

High Energy Physics - Experiment · Physics 2024-01-09 E. Spedicato

Multiple Coulomb Scattering (MCS) is a well known phenomenon occurring when charged particles traverse materials. Measurements of muons traversing low $Z$ materials made in the MuScat experiment showed that theoretical models and simulation…

High Energy Physics - Experiment · Physics 2022-11-23 M. Bogomilov , R. Tsenov , G. Vankova-Kirilova , Y. P. Song , J. Y. Tang , Z. H. Li , R. Bertoni , M. Bonesini , F. Chignoli , R. Mazza , V. Palladino , A. de Bari , D. Orestano , L. Tortora , Y. Kuno , H. Sakamoto , A. Sato , S. Ishimoto , M. Chung , C. K. Sung , F. Filthaut , M. Fedorov , D. Jokovic , D. Maletic , M. Savic , N. Jovancevic , J. Nikolov , M. Vretenar , S. Ramberger , R. Asfandiyarov , A. Blondel , F. Drielsma , Y. Karadzhov , G. Charnley , N. Collomb , K. Dumbell , A. Gallagher , A. Grant , S. Griffiths , T. Hartnett , B. Martlew , A. Moss , A. Muir , I. Mullacrane , A. Oates , P. Owens , G. Stokes , P. Warburton , C. White , D. Adams , V. Bayliss , J. Boehm , T. W. Bradshaw , C. Brown , M. Courthold , J. Govans , M. Hills , J. -B. Lagrange , C. Macwaters , A. Nichols , R. Preece , S. Ricciardi , C. Rogers , T. Stanley , J. Tarrant , M. Tucker , S. Watson , A. Wilson , R. Bayes , J. C. Nugent , F. J. P. Soler , R. Gamet , P. Cooke , V. J. Blackmore , D. Colling , A. Dobbs , P. Dornan , P. Franchini , C. Hunt , P. B. Jurj , A. Kurup , K. Long , J. Martyniak , S. Middleton , J. Pasternak , M. A. Uchida , J. H. Cobb , C. N. Booth , P. Hodgson , J. Langlands , E. Overton , V. Pec , P. J. Smith , S. Wilbur , G. T. Chatzitheodoridis , A. J. Dick , K. Ronald , C. G. Whyte , A. R. Young , S. Boyd , J. R. Greis , T. Lord , C. Pidcott , I. Taylor , M. Ellis , R. B. S. Gardener , P. Kyberd , J. J. Nebrensky , M. Palmer , H. Witte , D. Adey , A. D. Bross , D. Bowring , P. Hanlet , A. Liu , D. Neuffer , M. Popovic , P. Rubinov , A. DeMello , S. Gourlay , A. Lambert , D. Li , T. Luo , S. Prestemon , S. Virostek , B. Freemire , D. M. Kaplan , T. A. Mohayai , D. Rajaram , P. Snopok , Y. Torun , L. M. Cremaldi , D. A. Sanders , D. J. Summers , L. R. Coney , G. G. Hanson , C. Heidt

Kernel Density Estimation (KDE) is a cornerstone of nonparametric statistics, yet it remains sensitive to bandwidth choice, boundary bias, and computational inefficiency. This study revisits KDE through a principled convolutional framework,…

Methodology · Statistics 2025-10-24 Nicholas Tenkorang , Kwesi Appau Ohene-Obeng , Xiaogang Su

The linear motor driving the target for the Muon Ionisation Cooling Experiment has been redesigned to improve its reliability and performance. A new coil-winding technique is described which produces better magnetic alignment and improves…

Instrumentation and Detectors · Physics 2016-05-09 C. N. Booth , P. Hodgson , J. Langlands , E. Overton , M. Robinson , P. J. Smith , G. Barber , K. R. Long , B. Shepherd , E. Capocci , C. MacWaters , J. Tarrant

We propose a flexible method for estimating luminosity functions (LFs) based on kernel density estimation (KDE), the most popular nonparametric density estimation approach developed in modern statistics, to overcome issues surrounding…

Methodology · Statistics 2020-05-01 Zunli Yuan , Matt J. Jarvis , Jiancheng Wang

Experiments with muons ($\mu^{+}$) and muonium atoms ($\mu^{+}e^{-}$) offer several promising possibilities for testing fundamental symmetries. Examples of such experiments include search for muon electric dipole moment, measurement of muon…

Experimental and theoretical activities are underway at CERN with the aim of examining the feasibility of a very-high-flux neutrino source. In the present scheme, a high-power proton beam (some 4 MW) bombards a target where pions are…

Accelerator Physics · Physics 2014-11-18 G. Franchetti , S. Gilardoni , P. Gruber , K. Hanke , H. Haseroth , E. B. Holzer , D. Kuechler , A. M. Lombardi , R. Scrivens

Muon colliders have been proposed for the next generation of particle accelerators that study high-energy physics at the energy and intensity frontiers. In this paper we study a possible implementation of muon ionization cooling,…

We demonstrate that muon tomography can be used to precisely measure the properties of various materials. The materials which have been considered have been extracted from an experimental blast furnace, including carbon (coke) and iron…