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Träfflista för sökning "WFRF:(Fukuda Y.) "

Search: WFRF:(Fukuda Y.)

  • Result 1-10 of 92
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1.
  • 2017
  • swepub:Mat__t
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4.
  • Abe, K., et al. (author)
  • Neutron tagging following atmospheric neutrino events in a water Cherenkov detector
  • 2022
  • In: Journal of Instrumentation. - : Institute of Physics (IOP). - 1748-0221. ; 17:10
  • Journal article (peer-reviewed)abstract
    • We present the development of neutron-tagging techniques in Super-Kamiokande IV using a neural network analysis. The detection efficiency of neutron capture on hydrogen is estimated to be 26%, with a mis-tag rate of 0.016 per neutrino event. The uncertainty of the tagging efficiency is estimated to be 9.0%. Measurement of the tagging efficiency with data from an Americium-Beryllium calibration agrees with this value within 10%. The tagging procedure was performed on 3,244.4 days of SK-IV atmospheric neutrino data, identifying 18,091 neutrons in 26,473 neutrino events. The fitted neutron capture lifetime was measured as 218 +/- 9 mu s.
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5.
  • Abe, K., et al. (author)
  • J-PARC Neutrino Beamline Upgrade Technical Design Report
  • 2019
  • Reports (peer-reviewed)abstract
    • In this document, technical details of the upgrade plan of the J-PARC neutrino beamline for the extension of the T2K experiment are described. T2K has proposed to accumulate data corresponding to 2×1022 protons-on-target in the next decade, aiming at an initial observation of CP violation with 3σ or higher significance in the case of maximal CP violation. Methods to increase the neutrino beam intensity, which are necessary to achieve the proposed data increase, are described.
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7.
  • Forrest, ARR, et al. (author)
  • A promoter-level mammalian expression atlas
  • 2014
  • In: Nature. - : Springer Science and Business Media LLC. - 1476-4687 .- 0028-0836. ; 507:7493, s. 462-
  • Journal article (peer-reviewed)
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8.
  • Ahdida, C., et al. (author)
  • Fast simulation of muons produced at the SHiP experiment using Generative Adversarial Networks
  • 2019
  • In: Journal of Instrumentation. - : IOP PUBLISHING LTD. - 1748-0221. ; 14
  • Journal article (peer-reviewed)abstract
    • This paper presents a fast approach to simulating muons produced in interactions of the SPS proton beams with the target of the SHiP experiment. The SHIP experiment will be able to search for new long-lived particles produced in a 400 GeV/c SPS proton beam dump and which travel distances between fifty metres and tens of kilometers. The SHiP detector needs to operate under ultra-low background conditions and requires large simulated samples of muon induced background processes. Through the use of Generative Adversarial Networks it is possible to emulate the simulation of the interaction of 400 GeV/c proton beams with the SHiP target, an otherwise computationally intensive process. For the simulation requirements of the SHiP experiment, generative networks are capable of approximating the full simulation of the dense fixed target, offering a speed increase by a factor of O(10(6)). To evaluate the performance of such an approach, comparisons of the distributions of reconstructed muon momenta in SHiP's spectrometer between samples using the full simulation and samples produced through generative models are presented. The methods discussed in this paper can be generalised and applied to modelling any non-discrete multi-dimensional distribution.
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9.
  • Ahdida, C., et al. (author)
  • Sensitivity of the SHiP experiment to Heavy Neutral Leptons
  • 2019
  • In: Journal of High Energy Physics (JHEP). - 1126-6708 .- 1029-8479. ; :4
  • Journal article (peer-reviewed)abstract
    • Heavy Neutral Leptons (HNLs) are hypothetical particles predicted by many extensions of the Standard Model. These particles can, among other things, explain the origin of neutrino masses, generate the observed matter-antimatter asymmetry in the Universe and provide a dark matter candidate. The SHiP experiment will be able to search for HNLs produced in decays of heavy mesons and travelling distances ranging between O(50 m) and tens of kilometers before decaying. We present the sensitivity of the SHiP experiment to a number of HNL's benchmark models and provide a way to calculate the SHiP's sensitivity to HNLs for arbitrary patterns of flavour mixings. The corresponding tools and data files are also made publicly available.
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10.
  • Ahdida, C., et al. (author)
  • The experimental facility for the Search for Hidden Particles at the CERN SPS
  • 2019
  • In: Journal of Instrumentation. - : Institute of Physics Publishing (IOPP). - 1748-0221. ; 14
  • Journal article (peer-reviewed)abstract
    • The Search for Hidden Particles (SHiP) Collaboration has shown that the CERN SPS accelerator with its 400 GeV/c proton beam offers a unique opportunity to explore the Hidden Sector [1-3]. The proposed experiment is an intensity frontier experiment which is capable of searching for hidden particles through both visible decays and through scattering signatures from recoil of electrons or nuclei. The high-intensity experimental facility developed by the SHiP Collaboration is based on a number of key features and developments which provide the possibility of probing a large part of the parameter space for a wide range of models with light long-lived super-weakly interacting particles with masses up to O(10) GeV/c(2) in an environment of extremely clean background conditions. This paper describes the proposal for the experimental facility together with the most important feasibility studies. The paper focuses on the challenging new ideas behind the beam extraction and beam delivery, the proton beam dump, and the suppression of beam-induced background.
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  • Result 1-10 of 92
Type of publication
journal article (82)
conference paper (6)
research review (2)
reports (1)
Type of content
peer-reviewed (87)
other academic/artistic (4)
Author/Editor
Fukuda, T. (24)
Suzuki, H. (19)
Suzuki, T. (17)
Suzuki, Y. (15)
Suzuki, S (13)
Bogomilov, M. (13)
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Tsenov, R. (13)
Vankova-Kirilova, G. (13)
Aoki, S. (12)
Kuznetsova, E. (11)
Barker, G. J. (11)
Atkin, E. (11)
Khabibullin, M. (11)
Korzenev, A. (11)
Kudenko, Y. (11)
Mineev, O. (11)
Takahashi, S. (11)
Nakano, T (11)
Brenner, Richard (10)
Silverstein, Samuel ... (10)
Betancourt, C. (10)
Campanelli, M. (10)
Golubkov, D. (10)
Hakobyan, H. (10)
Lopes, L. (10)
Mermod, P. (10)
Vannucci, F. (10)
Xella, S. (10)
Milstead, David A. (10)
Breton, D. (10)
Wurm, M. (10)
Petridis, K. (10)
Gorbunov, S. (10)
Rademakers, A. (10)
De Roeck, A. (10)
Bondarenko, K. (10)
Kadenko, I. (10)
Korol, I. (10)
Kovalenko, S. (10)
Sokolenko, A. (10)
Treille, D. (10)
Zaytsev, Yu (10)
Back, J.J. (10)
Skorokhvatov, M. (10)
Dijkstra, H (10)
Jacobsson, R. (10)
Golutvin, A (10)
Ratnikov, F (10)
Schmidt-Parzefall, W (10)
Wanke, R (10)
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University
Karolinska Institutet (39)
Uppsala University (31)
Stockholm University (16)
Lund University (12)
University of Gothenburg (7)
Royal Institute of Technology (7)
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Linköping University (5)
Luleå University of Technology (3)
Chalmers University of Technology (3)
Swedish University of Agricultural Sciences (3)
Umeå University (2)
Linnaeus University (2)
Örebro University (1)
Swedish Museum of Natural History (1)
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Language
English (92)
Research subject (UKÄ/SCB)
Natural sciences (51)
Medical and Health Sciences (15)
Engineering and Technology (2)
Social Sciences (1)

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