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Kernel density estimation (KDE) is integral to a range of generative and discriminative tasks in machine learning. Drawing upon tools from the multidimensional calculus of variations, we derive an optimal weight function that reduces bias…

Machine Learning · Computer Science 2023-11-07 Sangwoong Yoon , Frank C. Park , Gunsu S Yun , Iljung Kim , Yung-Kyun Noh

A six-dimensional muon ionization cooling in a helical magnet channel has been studied. The cooling performance which is analytically evaluated by solving the exact Hamiltonian is reproduced in numerical simulation. One of the key beam…

Accelerator Physics · Physics 2018-09-26 Katsuya Yonehara

Kernel density estimation, a.k.a. Parzen windows, is a popular density estimation method, which can be used for outlier detection or clustering. With multivariate data, its performance is heavily reliant on the metric used within the…

Machine Learning · Computer Science 2012-12-11 Nicolas Le Roux , Francis Bach

Invasiveness of quantum measurements is a genuinely quantum mechanical feature that is not necessarily detrimental: Here we show how quantum measurements can be used to fuel a cooling engine. We illustrate quantum measurement cooling (QMC)…

Statistical Mechanics · Physics 2019-02-27 Lorenzo Buffoni , Andrea Solfanelli , Paola Verrucchi , Alessandro Cuccoli , Michele Campisi

In this work, we describe the calibration and first measurements in the commissioning of MuTe, a hybrid Muon Telescope with two subdetectors --a scintillator hodoscope and a Water Cherenkov Detector (WCD)-- for imaging the inner structures…

The highly sensitive millimeter-wave telescope is an important tool for accurate measurement of Cosmic Microwave Background (CMB) radiation, and its core component is a detector array located in a cryogenic focal plane. The feasibility of…

Instrumentation and Methods for Astrophysics · Physics 2024-01-29 Ye Chai , Shibo Shu , Yongping Li , Jiamin Sun , Zhouhui Liu , Yu Xu , Daikang Yan , Zhengwei Li , Yang Liu , Yiwen Wang , Weijie Guo , Juexian Cao , Congzhan Liu

A high-statistics determination of the differential cross section of elastic muon-electron scattering as a function of the transferred four-momentum squared, $d \sigma_{el}(\mu e \to \mu e)/dq^2$, has been argued to provide an effective…

Instrumentation and Detectors · Physics 2020-02-25 Tommaso Dorigo

We report on the MIT Epoch of Reionization (MITEoR) experiment, a pathfinder low-frequency radio interferometer whose goal is to test technologies that improve the calibration precision and reduce the cost of the high-sensitivity 3D mapping…

A muonium consists of a positive muon associated with an orbital electron, and the spontaneous conversion to antimuonium serves as a clear indication of new physics beyond the Standard Model in particle physics.One of the most important…

High Energy Physics - Experiment · Physics 2024-01-02 Shihan Zhao , Jian Tang

A number of recent developments have led to simulations of an inverse cyclotron for cooling intense muon beams for neutrino factories and muon colliders. Such a device could potentially act as a novel beam cooling mechanism for muons, and…

Accelerator Physics · Physics 2010-12-06 Kevin Paul , Estelle Cormier-Michel , Terrence Hart , Donald Summers

Kernel density estimators (KDEs) are ubiquitous tools for nonparametric estimation of probability density functions (PDFs), when data are obtained from unknown data generating processes. The KDEs that are typically available in software…

Computation · Statistics 2018-08-07 Andrew T. Jones , Hien D. Nguyen , Geoffrey J. McLachlan

We propose a novel method for density estimation that leverages an estimated score function to debias kernel density estimation (SD-KDE). In our approach, each data point is adjusted by taking a single step along the score function with a…

Machine Learning · Computer Science 2025-06-24 Elliot L. Epstein , Rajat Dwaraknath , Thanawat Sornwanee , John Winnicki , Jerry Weihong Liu

The main goal of the Muon spectrometer of the ALICE experiment at LHC is the measurement of heavy quark production in p+p, p+A and A+A collisions at LHC energies, via the muonic channel. Physics motivations and expected performances have…

High Energy Physics - Experiment · Physics 2011-03-02 Gines Martinez

This paper proposes a consensus-based distributed nonlinear filter with kernel mean embedding (KME). This fills with gap of posterior density approximation with KME for distributed nonlinear dynamic systems. To approximate the posterior…

Systems and Control · Electrical Eng. & Systems 2023-12-05 Liping Guo , Jimin Wang , Yanlong Zhao , Ji-Feng Zhang

The ALICE Collaboration is planning to construct a new detector (ALICE 3) aiming at exploiting the potential of the high-luminosity Large Hadron Collider (LHC). The new detector will allow ALICE to participate in LHC Run 5 scheduled from…

Cosmic ray muons detected by deep underground and underwater detectors have served as an information source on the high-energy cosmic ray spectrum and hadronic interactions in air showers for almost a century. The theoretical interest in…

High Energy Astrophysical Phenomena · Physics 2022-03-30 Anatoli Fedynitch , William Woodley , Marie-Cecile Piro

Comparing differently sized data sets is one main task in model assessment and calibration. This is due to field data being generally sparse compared to simulated model results. We tackled this task by the application of a new…

Applications · Statistics 2023-08-30 Maria-Theresia Pelz , Christopher Somes

The measurement of muon energy is critical for many analyses in large Cherenkov detectors, particularly those that involve separating extraterrestrial neutrinos from the atmospheric neutrino background. Muon energy has traditionally been…

Data Analysis, Statistics and Probability · Physics 2016-02-23 IceCube collaboration , R. Abbasi , Y. Abdou , M. Ackermann , J. Adams , J. A. Aguilar , M. Ahlers , D. Altmann , K. Andeen , J. Auffenberg , X. Bai , M. Baker , S. W. Barwick , V. Baum , R. Bay , K. Beattie , J. J. Beatty , S. Bechet , J. Becker Tjus , K. -H. Becker , M. Bell , M. L. Benabderrahmane , S. BenZvi , J. Berdermann , P. Berghaus , D. Berley , E. Bernardini , D. Bertrand , D. Z. Besson , D. Bindig , M. Bissok , E. Blaufuss , J. Blumenthal , D. J. Boersma , C. Bohm , D. Bose , S. Böser , O. Botner , L. Brayeur , A. M. Brown , R. Bruijn , J. Brunner , S. Buitink , M. Carson , J. Casey , M. Casier , D. Chirkin , B. Christy , F. Clevermann , S. Cohen , D. F. Cowen , A. H. Cruz Silva , M. Danninger , J. Daughhetee , J. C. Davis , C. De Clercq , F. Descamps , P. Desiati , G. de Vries-Uiterweerd , T. DeYoung , J. C. Díaz-Vélez , J. Dreyer , J. P. Dumm , M. Dunkman , R. Eagan , J. Eisch , C. Elliott , R. W. Ellsworth , O. Engdegård , S. Euler , P. A. Evenson , O. Fadiran , A. R. Fazely , A. Fedynitch , J. Feintzeig , T. Feusels , K. Filimonov , C. Finley , T. Fischer-Wasels , S. Flis , A. Franckowiak , R. Franke , K. Frantzen , T. Fuchs , T. K. Gaisser , J. Gallagher , L. Gerhardt , L. Gladstone , T. Glüsenkamp , A. Goldschmidt , J. A. Goodman , D. Góra , D. Grant , A. Groß , S. Grullon , M. Gurtner , C. Ha , A. Haj Ismail , A. Hallgren , F. Halzen , K. Hanson , D. Heereman , P. Heimann , D. Heinen , K. Helbing , R. Hellauer , S. Hickford , G. C. Hill , K. D. Hoffman , R. Hoffmann , A. Homeier , K. Hoshina , W. Huelsnitz , P. O. Hulth , K. Hultqvist , S. Hussain , A. Ishihara , E. Jacobi , J. Jacobsen , G. S. Japaridze , O. Jlelati , A. Kappes , T. Karg , A. Karle , J. Kiryluk , F. Kislat , J. Kläs , S. R. Klein , S. Klepser , J. -H. Köhne , G. Kohnen , H. Kolanoski , L. Köpke , C. Kopper , S. Kopper , D. J. Koskinen , M. Kowalski , M. Krasberg , G. Kroll , J. Kunnen , N. Kurahashi , T. Kuwabara , M. Labare , K. Laihem , H. Landsman , M. J. Larson , R. Lauer , M. Lesiak-Bzdak , J. Lünemann , J. Madsen , R. Maruyama , K. Mase , H. S. Matis , A. McDermott , F. McNally , K. Meagher , M. Merck , P. Mészáros , T. Meures , S. Miarecki , E. Middell , N. Milke , J. Miller , L. Mohrmann , T. Montaruli , R. Morse , S. M. Movit , R. Nahnhauer , U. Naumann , P. Nießen , S. C. Nowicki , D. R. Nygren , A. Obertacke , S. Odrowski , A. Olivas , M. Olivo , A. O'Murchadha , S. Panknin , L. Paul , J. A. Pepper , C. Pérez de los Heros , D. Pieloth , N. Pirk , J. Posselt , P. B. Price , G. T. Przybylski , L. Rädel , K. Rawlins , P. Redl , E. Resconi , W. Rhode , M. Ribordy , M. Richman , B. Riedel , J. P. Rodrigues , J. Roth , F. Rothmaier , C. Rott , C. Roucelle , T. Ruhe , B. Ruzybayev , D. Ryckbosch , S. M. Saba , T. Salameh , H. -G. Sander , M. Santander , S. Sarkar , K. Schatto , M. Scheel , F. Scheriau , T. Schmidt , M. Schmitz , S. Schoenen , S. Schöneberg , L. Schönherr , A. Schönwald , A. Schukraft , L. Schulte , O. Schulz , D. Seckel , S. H. Seo , Y. Sestayo , S. Seunarine , L. Shulman , M. W. E. Smith , M. Soiron , D. Soldin , G. M. Spiczak , C. Spiering , M. Stamatikos , T. Stanev , A. Stasik , T. Stezelberger , R. G. Stokstad , A. Stößl , S. Stoyanov , E. A. Strahler , R. Ström , K-H. Sulanke , G. W. Sullivan , H. Taavola , I. Taboada , A. Tamburro , S. Ter-Antonyan , S. Tilav , P. A. Toale , S. Toscano , M. Usner , D. van der Drift , N. van Eijndhoven , A. Van Overloop , J. van Santen , M. Vehring , M. Voge , C. Walck , T. Waldenmaier , M. Wallraff , M. Walter , R. Wasserman , Ch. Weaver , C. Wendt , S. Westerhoff , N. Whitehorn , K. Wiebe , C. H. Wiebusch , D. R. Williams , H. Wissing , M. Wolf , T. R. Wood , K. Woschnagg , C. Xu , D. L. Xu , X. W. Xu , J. P. Yanez , G. Yodh , S. Yoshida , P. Zarzhitsky , J. Ziemann , A. Zilles , M. Zoll

In this work we analyze two classes of Density-Estimation techniques which can be used to consistently couple different kinetic models of the plasma-material interface, intended as the region of plasma immediately interacting with the first…

Computational Physics · Physics 2018-04-12 Shane Keniley , Davide Curreli