Suchergebnisse

This document was prepared by the MicroBooNE Collaboration using the resources of the Fermi National Accelerator Laboratory (Fermilab), a U.S. Department of Energy, Office of Science, HEP User Facility. Fermilab is managed by Fermi Research Alliance, LLC (FRA), acting under Contract No. DE-AC02-07CH11359. MicroBooNE is supported by the U.S. Department of Energy, Office of Science, Offices of High Energy Physics and Nuclear Physics; the U.S. National Science Foundation; the Swiss National Science Foundation; the Science and Technology Facilities Council (STFC), part of the United Kingdom Research and Innovation; the Royal Society (United Kingdom); and The European Union's Horizon 2020 Marie Skłodowska-Curie Actions. Additional support for the laser calibration system and cosmic ray tagger was provided by the Albert Einstein Center for Fundamental Physics, Bern, Switzerland. ; We report results from a search for neutrino-induced neutral current (NC) resonant Δð1232Þ baryon production followed by Δ radiative decay, with a h0.8i GeV neutrino beam. Data corresponding to MicroBooNE's first three years of operations (6.80 × 1020 protons on target) are used to select single-photon events with one or zero protons and without charged leptons in the final state (1γ1p and 1γ0p, respectively). The background is constrained via an in situ high-purity measurement of NC π0 events, made possible via dedicated 2γ1p and 2γ0p selections. A total of 16 and 153 events are observed for the 1γ1p and 1γ0p selections, respectively, compared to a constrained background prediction of 20.5 3.65ðsystÞ and 145.1 13.8ðsystÞ events. The data lead to a bound on an anomalous enhancement of the normalization of NC Δ radiative decay of less than 2.3 times the predicted nominal rate for this process at the 90% confidence level (C.L.). The measurement disfavors a candidate photon interpretation of the MiniBooNE low-energy excess as a factor of 3.18 times the nominal NC Δ radiative decay rate at the 94.8% C.L., in favor of the nominal prediction, and represents a greater than 50-fold improvement over the world's best limit on single-photon production in NC interactions in the sub-GeV neutrino energy range. ; European Union's Horizon 2020 Marie Skłodowska-Curie Actions ; Fermi Research Alliance, LLC DE-AC02-07CH11359 ; High Energy Physics and Nuclear Physics ; United Kingdom Research and Innovation ; National Science Foundation ; U.S. Department of Energy ; Office of Science ; Science and Technology Facilities Council ; Royal Society ; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung

This document was prepared by the MicroBooNE collaboration using the resources of the Fermi National Accelerator Laboratory (Fermilab), a U.S. Department of Energy, Office of Science, HEP User Facility. Fermilab is managed by Fermi Research Alliance, LLC (FRA), acting under Contract No. DE-AC02-07CH11359. MicroBooNE is supported by the following: the U.S. Department of Energy, Office of Science, Offices of High Energy Physics and Nuclear Physics; the U.S. National Science Foundation; the Swiss National Science Foundation; the Science and Technology Facilities Council (STFC), part of the United Kingdom Research and Innovation; the Royal Society (United Kingdom); and The European Union's Horizon 2020 Marie Sklodowska-Curie Actions. Additional support for the laser calibration system and cosmic ray tagger was provided by the Albert Einstein Center for Fundamental Physics, Bern, Switzerland. ; This article presents the reconstruction of the electromagnetic activity from electrons and photons (showers) used in the MicroBooNE deep learning-based low energy electron search. The reconstruction algorithm uses a combination of traditional and deep learning-based techniques to estimate shower energies. We validate these predictions using two nu(mu)-sourced data samples: charged/neutral current interactions with final state neutral pions and charged current interactions in which the muon stops and decays within the detector producing a Michel electron. Both the neutral pion sample and Michel electron sample demonstrate agreement between data and simulation. Further, the absolute shower energy scale is shown to be consistent with the relevant physical constant of each sample: the neutral pion mass peak and the Michel energy cutoff. ; Fermi Research Alliance, LLC (FRA) DE-AC02-07CH11359 ; United States Department of Energy (DOE) National Science Foundation (NSF) ; Swiss National Science Foundation (SNSF) ; European Commission ; Science and Technology Facilities Council (STFC) , part of the United Kingdom Research and Innovation ; Royal Society of London ; European Union's Horizon 2020 Marie Sklodowska-Curie Actions ; Albert Einstein Center for Fundamental Physics, Bern, Switzerland

This document was prepared by the MicroBooNE Collaboration using the resources of the Fermi National Accelerator Laboratory (Fermilab), a U.S. Department of Energy, Office of Science, HEP User Facility. Fermilab is managed by Fermi Research Alliance, LLC (FRA), acting under Contract No. DE-AC02-07CH11359. MicroBooNE is supported by the following: the U.S. Department of Energy, Office of Science, Offices of High Energy Physics and Nuclear Physics; the U.S. National Science Foundation; the Swiss National Science Foundation; the Science and Technology Facilities Council (STFC), part of the United Kingdom Research and Innovation; the Royal Society (United Kingdom); and the European Union's Horizon 2020 Marie Sklodowska-Curie Actions. Additional support for the laser calibration system and cosmic ray tagger was provided by the Albert Einstein Center for Fundamental Physics, Bern, Switzerland. We also acknowledge the contributions of technical and scientific staff to the design, construction, and operation of the MicroBooNE detector as well as the contributions of past collaborators to the development of MicroBooNE analyses, without whom this work would not have been possible. ; We report a measurement of the energy-dependent total charged-current cross section σ(Eν) for inclusive muon neutrinos scattering on argon, as well as measurements of flux-averaged differential cross sections as a function of muon energy and hadronic energy transfer (ν). Data corresponding to 5.3×1019 protons on target of exposure were collected using the MicroBooNE liquid argon time projection chamber located in the Fermilab booster neutrino beam with a mean neutrino energy of approximately 0.8 GeV. The mapping between the true neutrino energy Eν and reconstructed neutrino energy Erecν and between the energy transfer ν and reconstructed hadronic energy Erechad are validated by comparing the data and Monte Carlo (MC) predictions. In particular, the modeling of the missing hadronic energy and its associated uncertainties are verified by a new ...

This document was prepared by the MicroBooNE collaboration using the resources of the Fermi National Accelerator Laboratory (Fermilab), a U.S. Department of Energy, Office of Science, HEP User Facility. Fermilab is managed by Fermi Research Alliance, LLC (FRA), acting under Contract No. DE-AC02-07CH11359. MicroBooNE is supported by the following: the U.S. Department of Energy, Office of Science, Offices of High Energy Physics and Nuclear Physics; the U.S. National Science Foundation; the Swiss National Science Foundation; the Science and Technology Facilities Council (STFC), part of the United Kingdom Research and Innovation; the Royal Society (United Kingdom); and The European Union's Horizon 2020 Marie Sklodowska-Curie Actions. Additional support for the laser calibration system and cosmic ray tagger was provided by the Albert Einstein Center for Fundamental Physics, Bern, Switzerland. We also acknowledge the contributions of technical and scientific staff to the design, construction, and operation of the MicroBooNE detector as well as the contributions of past collaborators to the development of MicroBooNE analyses, without whom this work would not have been possible. We are grateful to the NUISANCE team for extra support for the software tools used in this study. We also thank Stephen Dolan (CERN) for his code implementing the alternate fit in NUISANCE. ; Obtaining a high-quality interaction model with associated uncertainties is essential for neutrino experiments studying oscillations, nuclear scattering processes, or both. As a primary input to the MicroBooNE experiment's next generation of neutrino cross section measurements and its flagship investigation of the MiniBooNE low-energy excess, we present a new tune of the charged-current pionless (CC0π) interaction cross section via the two major contributing processes—charged-current quasielastic and multinucleon interaction models—within version 3.0.6 of the GENIE neutrino event generator. Parameters in these models are tuned to muon neutrino CC0π cross ...

This document was prepared by the MicroBooNE collaboration using the resources of the Fermi National Accelerator Laboratory (Fermilab), a U.S. Department of Energy, Office of Science, HEP User Facility. Fermilab is managed by Fermi Research Alliance, LLC (FRA), acting under Contract No. DE-AC02-07CH11359. MicroBooNE is supported by the following: the U.S. Department of Energy, Office of Science, Offices of High Energy Physics and Nuclear Physics; the U.S. National Science Foundation; the Swiss National Science Foundation; the Science and Technology Facilities Council (STFC), part of the United Kingdom Research and Innovation; the Royal Society (United Kingdom); and The European Union's Horizon 2020 Marie Sklodowska-Curie Actions. Additional support for the laser calibration system and cosmic ray tagger was provided by the Albert Einstein Center for Fundamental Physics, Bern, Switzerland. We also acknowledge the contributions of technical and scientific staff to the design, construction, and operation of the MicroBooNE detector as well as the contributions of past collaborators to the development of MicroBooNE analyses, without whom this work would not have been possible. ; Wire-Cell is a 3D event reconstruction package for liquid argon time projection chambers. Through geometry, time, and drifted charge from multiple readout wire planes, 3D space points with associated charge are reconstructed prior to the pattern recognition stage. Pattern recognition techniques, including track trajectory and dQ/dx (ionization charge per unit length) fitting, 3D neutrino vertex fitting, track and shower separation, particle-level clustering, and particle identification are then applied on these 3D space points as well as the original 2D projection measurements. A deep neural network is developed to enhance the reconstruction of the neutrino interaction vertex. Compared to traditional algorithms, the deep neural network boosts the vertex efficiency by a relative 30% for charged-current v(e) interactions. This pattern recognition achieves 80-90% reconstruction efficiencies for primary leptons, after a 65.8% (72.9%) vertex efficiency for charged-current v(e) (v(mu)) interactions. Based on the resulting reconstructed particles and their kinematics, we also achieve 15-20% energy reconstruction resolutions for charged-current neutrino interactions. ; Fermi Research Alliance, LLC (FRA) DE-AC02-07CH11359 ; United States Department of Energy (DOE) National Science Foundation (NSF) ; Swiss National Science Foundation (SNSF) ; European Commission ; Science and Technology Facilities Council (STFC), part of the United Kingdom Research and Innovation ; Royal Society of London ; European Union's Horizon 2020 Marie Sklodowska-Curie Actions

The sensitivity of the Deep Underground Neutrino Experiment (DUNE) to neutrino oscillation is determined, based on a full simulation, reconstruction, and event selection of the far detector and a full simulation and parameterized analysis of the near detector. Detailed uncertainties due to the flux prediction, neutrino interaction model, and detector effects are included. DUNE will resolve the neutrino mass ordering to a precision of 5σ, for all δCP values, after 2 years of running with the nominal detector design and beam configuration. It has the potential to observe charge-parity violation in the neutrino sector to a precision of 3σ (5σ) after an exposure of 5 (10) years, for 50% of all δCP values. It will also make precise measurements of other parameters governing long-baseline neutrino oscillation, and after an exposure of 15 years will achieve a similar sensitivity to sin22θ13 to current reactor experiments. ; Fermi Research Alliance, LLC (FRA) DE-AC02-07CH11359 ; National Council for Scientific and Technological Development (CNPq) ; Carlos Chagas Filho Foundation for Research Support of the State of Rio de Janeiro (FAPERJ) ; FAPEG, Brazil ; Fundacao de Amparo a Pesquisa do Estado de Sao Paulo (FAPESP) ; Canada Foundation for Innovation ; IPP, Canada ; Natural Sciences and Engineering Research Council of Canada (NSERC) ; CERN ; Ministry of Education, Youth & Sports - Czech Republic Czech Republic Government ; European Union (EU) ; Centre National de la Recherche Scientifique (CNRS) ; French Atomic Energy Commission ; Istituto Nazionale di Fisica Nucleare (INFN) ; Portuguese Foundation for Science and Technology ; NRF, South Korea ; CAM, Spain ; La Caixa Foundation ; Spanish Government ; SERI, Switzerland ; Swiss National Science Foundation (SNSF) ; Turkiye Bilimsel ve Teknolojik Arastirma Kurumu (TUBITAK) ; Royal Society of London ; UKRI/STFC, UK ; United States Department of Energy (DOE) ; National Science Foundation (NSF) ; National Energy Research Scientific Computing Center (NERSC), a U.S. Department of Energy Office of Science User Facility DE-AC02-05CH11231

The Deep Underground Neutrino Experiment is a next-generation neutrino oscillation experiment that aims to measure CP-violation in the neutrino sector as part of a wider physics program. A deep learning approach based on a convolutional neural network has been developed to provide highly efficient and pure selections of electron neutrino and muon neutrino charged-current interactions. The electron neutrino (antineutrino) selection efficiency peaks at 90% (94%) and exceeds 85% (90%) for reconstructed neutrino energies between 2–5 GeV. The muon neutrino (antineutrino) event selection is found to have a maximum efficiency of 96% (97%) and exceeds 90% (95%) efficiency for reconstructed neutrino energies above 2 GeV. When considering all electron neutrino and antineutrino interactions as signal, a selection purity of 90% is achieved. These event selections are critical to maximize the sensitivity of the experiment to CP-violating effects. ; Fermi Research Alliance, LLC (FRA) DE-AC02-07CH11359 ; National Council for Scientific and Technological Development (CNPq) ; Carlos Chagas Filho Foundation for Research Support of the State of Rio de Janeiro (FAPERJ) ; FAPEG, Brazil ; Fundacao de Amparo a Pesquisa do Estado de Sao Paulo (FAPESP) ; Canada Foundation for Innovation ; Institute of Particle Physics, Canada ; Natural Sciences and Engineering Research Council of Canada (NSERC) ; CERN ; Ministry of Education, Youth & Sports - Czech Republic Czech Republic Government ; ERDF, European Union ; H2020-EU, European Union ; MSCA, European Union ; Centre National de la Recherche Scientifique (CNRS) ; French Atomic Energy Commission ; Istituto Nazionale di Fisica Nucleare (INFN) ; Portuguese Foundation for Science and Technology European Commission ; NRF, South Korea ; Comunidad de Madrid ; La Caixa Foundation ; Spanish Government ; State Secretariat for Education, Research and Innovation, Switzerland ; Swiss National Science Foundation (SNSF) ; Turkiye Bilimsel ve Teknolojik Arastirma Kurumu (TUBITAK) ; Royal Society of London ; UKRI/STFC, United Kingdom ; United States Department of Energy (DOE) ; National Science Foundation (NSF)

This document was prepared by the DUNE collaboration using the resources of the Fermi National Accelerator Laboratory (Fermilab), a U.S. Department of Energy, Office of Science, HEP User Facility. Fermilab is managed by Fermi Research Alliance, LLC (FRA), acting under Contract No. DE-AC02-07CH11359. This work was supported by CNPq, FAPERJ, FAPEG and FAPESP, Brazil; CFI, IPP and NSERC, Canada; CERN; MŠMT, Czech Repub lic; ERDF, H2020-EU and MSCA, European Union; CNRS/IN2P3 and CEA, France; INFN, Italy; FCT, Portugal; NRF, South Korea; CAM, Fundación "La Caixa", Junta de Andalucía FEDER, and MICINN, Spain; SERI and SNSF, Switzerland; TÜBİTAK, Turkey; The Royal Society and UKRI/STFC, United Kingdom; DOE and NSF, United States of America. We are grateful to Xerxes Tata for useful discussions. C. Rott acknowledges support from the National Research Foundation of Korea. ; The observation of 236 MeV muon neutrinos from kaon-decay-at-rest (KDAR) originating in the core of the Sun would provide a unique signature of dark matter annihilation. Since excellent angle and energy reconstruction are necessary to detect this monoenergetic, directional neutrino flux, DUNE with its vast volume and reconstruction capabilities, is a promising candidate for a KDAR neutrino search. In this work, we evaluate the proposed KDAR neutrino search strategies by realistically modeling both neutrino-nucleus interactions and the response of DUNE. We find that, although reconstruction of the neutrino energy and direction is difficult with current techniques in the relevant energy range, the superb energy resolution, angular resolution, and particle identification offered by DUNE can still permit great signal/background discrimination. Moreover, there are non-standard scenarios in which searches at DUNE for KDAR in the Sun can probe dark matter interactions. ; Fermi National Accelerator Laboratory (Fermilab) No. DE-AC02-07CH11359. ; CNPq ; CNPq, FAPERJ, FAPEG y FAPESP, Brasil ; CFI, IPP y NSERC, Canadá ; CERN ; MŠMT, República Checa ; FEDER ; H2020-UE ; MSCA, Unión Europea ; CNRS/IN2P3 y CEA, Francia ; INFN, Italia ; FCT, Portugal ; NRF, Corea del Sur ; CAM, Fundación "La Caixa" ; Junta de Andalucía FEDER, y MICINN, España ; SERI y SNSF, Suiza ; TübİTAK, Turquía ; La Real Sociedad y UKRI/STFC, Reino Unido ; DOE y NSF, Estados Unidos de América

The Deep Underground Neutrino Experiment (DUNE) will produce world-leading neutrino oscillation measurements over the lifetime of the experiment. In this work, we explore DUNE's sensitivity to observe charge-parity violation (CPV) in the neutrino sector, and to resolve the mass ordering, for exposures of up to 100 kiloton-megawatt-calendar years (kt-MW-CY), where calendar years include an assumption of 57% accelerator uptime based on past accelerator performance at Fermilab. The analysis includes detailed uncertainties on the flux prediction, the neutrino interaction model, and detector effects. We demonstrate that DUNE will be able to unambiguously resolve the neutrino mass ordering at a 4σ (5σ) level with a 66 (100) kt-MW-CY far detector exposure, and has the ability to make strong statements at significantly shorter exposures depending on the true value of other oscillation parameters, with a median sensitivity of 3σ for almost all true δCP values after only 24 kt-MW-CY. We also show that DUNE has the potential to make a robust measurement of CPV at a 3σ level with a 100 kt-MW-CY exposure for the maximally CP-violating values δCP ¼ π=2. Additionally, the dependence of DUNE's sensitivity on the exposure taken in neutrino-enhanced and antineutrino-enhanced running is discussed. An equal fraction of exposure taken in each beam mode is found to be close to optimal when considered over the entire space of interest. ; Fermi Research Alliance, LLC (FRA) DE-AC02-07CH11359 ; CNPq, FAPERJ, FAPEG and FAPESP, Brazil ; CFI, Institute of Particle Physics (IPP) and NSERC, Canada ; CERN ; MŠMT, Czech Republic ; ERDF, H2020-EU and MSCA, European Union ; CNRS/IN2P3 and CEA, France ; INFN, Italy ; FCT, Portugal ; NRF, South Korea ; Comunidad de Madrid (CAM), Fundación "La Caixa," Junta de Andalucía-FEDER, and MICINN, Spain ; SERI and SNSF, Switzerland ; TÜBİTAK, Turkey ; The Royal Society and UKRI/STFC, United Kingdom ; DOE and NSF, United States of America