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The Mu2e Experiment has stringent beam structure requirements; namely, its proton bunches with a time structure of 1.7 $\mu$s in the Fermilab Delivery Ring. This beam structure will be delivered using the Fermilab 8-GeV Booster, the 8-GeV…

加速器物理 · 物理学 2023-07-18 R. Kibbee , E. Prebys , V. Nagaslaev

We introduce a novel Proximal Policy Optimization (PPO) algorithm aimed at addressing the challenge of maintaining a uniform proton beam intensity delivery in the Muon to Electron Conversion Experiment (Mu2e) at Fermi National Accelerator…

The Mu2e experiment measures the conversion rate of muons into electrons and the Muon g-2 experiment measures the muon magnetic moment. Both experiments require 53 MHz batches of 8 GeV protons to be re-bunched into 150 ns, 2.5 MHz pulses…

加速器物理 · 物理学 2018-03-28 P. Varghese , B. Chase

The Muon-to-Electron Conversion (Mu2e) Experiment demands a highly precise magnet and collimator system to achieve a stringent extinction level of $1\times 10^{-10}$ for out-of-time beam particles. Extinction is ensured by an AC Dipole…

加速器物理 · 物理学 2024-05-09 Ryan Hensley , Eric Prebys , Sridhar Tripathy

The Muon Campus (MC) is able to measure Muon g-2 with high precision and comparing its value to the theoretical prediction. The MC has four 300 KW screw compressors and four liquid helium refrigerators. The centerpiece of the Muon g-2…

加速器物理 · 物理学 2016-01-20 L. Pei , J. Theilacker , A. Klebaner , W. Soyars , R. Bossert

The Muon g-2 Experiment plans to use the Fermilab Recycler Ring for forming the proton bunches that hit its production target. The proposed scheme uses one RF system, 80 kV of 2.5 MHz RF. In order to avoid bunch rotations in a mismatched…

加速器物理 · 物理学 2017-09-25 D. Stratakis , M. Convery , J. P. Morgan , D. Still , M. J. Syphers , V. Tishchenko

The Muon-to-Electron (Mu2e) experiment at Fermilab, will seek the evidence of direct muon to electron conversion at the sensitivity level where it cannot be explained by the Standard Model. An 8-GeV 25-kW proton beam will be directed onto a…

加速器物理 · 物理学 2012-02-20 V. S. Pronskikh , V. V. Kashikhin , N. V. Mokhov

We present progress on the development of a machine learning (ML) regulation system for third-order resonant extraction of the beam delivered to the Mu2e experiment at Fermilab. We consider classical and ML-based controllers optimized on…

A new measurement of the anomalous magnetic moment of the muon, $a_{\mu} \equiv (g-2)/2$, will be performed at the Fermi National Accelerator Laboratory. The most recent measurement, performed at Brookhaven National Laboratory and completed…

仪器与探测器 · 物理学 2016-01-20 Wesley Gohn

A portion of the remnant Tevatron program infrastructure at Fermilab is being reconfigured to be used for the generation and delivery of proton and muon beams for new high-precision particle physics experiments. With the 8 GeV Booster as…

加速器物理 · 物理学 2016-12-23 J. A. Johnstone , M. J. Syphers

Starting this summer, Fermilab will host a key experiment dedicated to the search for signals of new physics: The Fermilab Muon g-2 Experiment. Its aim is to precisely measure the anomalous magnetic moment of the muon. In full operation, in…

The E989 Muon $g-2$ experiment at Fermilab aims to measure the anomalous magnetic moment, $a^{}_\mu$, of the muon with a precision of 140 parts-per-billion. This requires a precise measurement of both the anomalous spin precession…

仪器与探测器 · 物理学 2021-02-11 S. Corrodi , P. De Lurgio , D. Flay , J. Grange , R. Hong , D. Kawall , M. Oberling , S. Ramachandran , P. Winter

The study of novel quantum materials relies on muon-spin rotation, relaxation, or resonance (\mSR) measurements. Yet, a fundamental limitation persists: many of these materials can only be synthesized in extremely small quantities, often at…

This paper presents the beam dynamics systematic corrections and their uncertainties for the Run-1 data set of the Fermilab Muon g-2 Experiment. Two corrections to the measured muon precession frequency $\omega_a^m$ are associated with…

加速器物理 · 物理学 2021-04-29 T. Albahri , A. Anastasi , K. Badgley , S. Baeßler , I. Bailey , V. A. Baranov , E. Barlas-Yucel , T. Barrett , F. Bedeschi , M. Berz , M. Bhattacharya , H. P. Binney , P. Bloom , J. Bono , E. Bottalico , T. Bowcock , G. Cantatore , R. M. Carey , B. C. K. Casey , D. Cauz , R. Chakraborty , S. P. Chang , A. Chapelain , S. Charity , R. Chislett , J. Choi , Z. Chu , T. E. Chupp , S. Corrodi , L. Cotrozzi , J. D. Crnkovic , S. Dabagov , P. T. Debevec , S. Di Falco , P. Di Meo , G. Di Sciascio , R. Di Stefano , A. Driutti , V. N. Duginov , M. Eads , J. Esquivel , M. Farooq , R. Fatemi , C. Ferrari , M. Fertl , A. Fiedler , A. T. Fienberg , A. Fioretti , D. Flay , E. Frlež , N. S. Froemming , J. Fry , C. Gabbanini , M. D. Galati , S. Ganguly , A. Garcia , J. George , L. K. Gibbons , A. Gioiosa , K. L. Giovanetti , P. Girotti , W. Gohn , T. Gorringe , J. Grange , S. Grant , F. Gray , S. Haciomeroglu , T. Halewood-Leagas , D. Hampai , F. Han , J. Hempstead , A. T. Herrod , D. W. Hertzog , G. Hesketh , A. Hibbert , Z. Hodge , J. L. Holzbauer , K. W. Hong , R. Hong , M. Iacovacci , M. Incagli , P. Kammel , M. Kargiantoulakis , M. Karuza , J. Kaspar , D. Kawall , L. Kelton , A. Keshavarzi , D. Kessler , K. S. Khaw , Z. Khechadoorian , N. V. Khomutov , B. Kiburg , M. Kiburg , O. Kim , Y. I. Kim , B. King , N. Kinnaird , M. Korostelev , E. Kraegeloh , N. A. Kuchinskiy , K. R. Labe , J. LaBounty , M. Lancaster , M. J. Lee , S. Lee , B. Li , D. Li , L. Li , I. Logashenko , A. Lorente Campos , A. Lucà , G. Lukicov , A. Lusiani , A. L. Lyon , B. MacCoy , R. Madrak , K. Makino , F. Marignetti , S. Mastroianni , J. P. Miller , S. Miozzi , W. M. Morse , J. Mott , A. Nath , D. Newton , H. Nguyen , R. Osofsky , S. Park , G. Pauletta , G. M. Piacentino , R. N. Pilato , K. T. Pitts , B. Plaster , D. Počanić , N. Pohlman , C. C. Polly , J. Price , B. Quinn , N. Raha , S. Ramachandran , E. Ramberg , J. L. Ritchie , B. L. Roberts , D. L. Rubin , L. Santi , D. Sathyan , C. Schlesier , A. Schreckenberger , Y. K. Semertzidis , M. W. Smith , M. Sorbara , D. Stöckinger , J. Stapleton , C. Stoughton , D. Stratakis , T. Stuttard , H. E. Swanson , G. Sweetmore , D. A. Sweigart , M. J. Syphers , D. A. Tarazona , T. Teubner , A. E. Tewsley-Booth , K. Thomson , V. Tishchenko , N. H. Tran , W. Turner , E. Valetov , D. Vasilkova , G. Venanzoni , T. Walton , A. Weisskopf , L. Welty-Rieger , P. Winter , A. Wolski , W. Wu

This paper investigates the feasibility of re-purposing the MuCool Test Area (MTA) beamline and experimental hall to support a Muon Spin Resonance (MuSR) facility, which would make it the only such facility in the US. This report reviews…

加速器物理 · 物理学 2018-06-13 John A. Johnstone , Carol Johnstone

The Muon g-2 Experiment (E989) at Fermilab is seeking to measure the anomalous magnetic moment of muon ($a_{\mu}$) with a precision of 140 parts-per-billion (ppb) and aiming to resolve the discrepancy between the E821 measurement and the…

仪器与探测器 · 物理学 2018-10-10 Ran Hong

The Muon $g\textrm{-}2$ Experiment (E989) at Fermilab has a goal of measuring the muon anomaly ($a_\mu$) with unprecedented precision using positive muons. This measurement is motivated by the difference between the previous Brookhaven…

加速器物理 · 物理学 2020-09-25 Eremey Valetov

A high-repetition-rate pulsed muon source operating at approximately 50\,kHz holds the potential to improve the sensitivity of various particle physics and material science experiments involving muons. In this article, we propose utilizing…

The Muon g-2 Experiment (E989) at Fermilab measures the muon magnetic anomaly, aiming to resolve the greater than 3$\sigma$ discrepancy between the previous measurement and the Standard Model calculation with an improved precision of 140…

仪器与探测器 · 物理学 2020-01-10 Ran Hong

Physical reservoir computing, which is a promising method for the implementation of highly efficient artificial intelligence devices, requires a physical system with nonlinearity, fading memory, and the ability to map in high dimensions.…

新兴技术 · 计算机科学 2022-07-08 Wataru Namiki , Daiki Nishioka , Yu Yamaguchi , Takashi Tsuchiya , Tohru Higuchi , Kazuya Terabe
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