1,181 research outputs found
Impact of cross-section uncertainties on supernova neutrino spectral parameter fitting in the Deep Underground Neutrino Experiment
A primary goal of the upcoming Deep Underground Neutrino Experiment (DUNE) is to measure the O(10) MeV neutrinos produced by a Galactic core-collapse supernova if one should occur during the lifetime of the experiment. The liquid-argon-based detectors planned for DUNE are expected to be uniquely sensitive to the νe component of the supernova flux, enabling a wide variety of physics and astrophysics measurements. A key requirement for a correct interpretation of these measurements is a good understanding of the energy-dependent total cross section Ď(Eν) for charged-current νe absorption on argon. In the context of a simulated extraction of supernova νe spectral parameters from a toy analysis, we investigate the impact of Ď(Eν) modeling uncertainties on DUNE's supernova neutrino physics sensitivity for the first time. We find that the currently large theoretical uncertainties on Ď(Eν) must be substantially reduced before the νe flux parameters can be extracted reliably; in the absence of external constraints, a measurement of the integrated neutrino luminosity with less than 10% bias with DUNE requires Ď(Eν) to be known to about 5%. The neutrino spectral shape parameters can be known to better than 10% for a 20% uncertainty on the cross-section scale, although they will be sensitive to uncertainties on the shape of Ď(Eν). A direct measurement of low-energy νe-argon scattering would be invaluable for improving the theoretical precision to the needed level
Design, construction and operation of the ProtoDUNE-SP Liquid Argon TPC
ArtĂculo escrito por un elevado nĂşmero de autores, solo se referencian el que aparece en primer lugar, los autores pertenecientes a la UAM y el nombre del grupo de colaboraciĂłn, si lo hubiereThe ProtoDUNE-SP detector is a single-phase liquid argon time projection chamber (LArTPC) that was constructed and operated in the CERN North Area at the end of the H4 beamline. This detector is a prototype for the first far detector module of the Deep Underground Neutrino Experiment (DUNE), which will be constructed at the Sandford Underground Research Facility (SURF) in Lead, South Dakota, U.S.A. The ProtoDUNE-SP detector incorporates full-size components as designed for DUNE and has an active volume of 7 Ă 6 Ă 7.2 m3. The H4 beam delivers incident particles with well-measured momenta and high-purity particle identification. ProtoDUNE-SPâs successful operation between 2018 and 2020 demonstrates the effectiveness of the single-phase far detector design. This paper describes the design, construction, assembly and operation of the detector component
Scintillation light detection in the 6-m drift-length ProtoDUNE Dual Phase liquid argon TPC
Trabajo realizado por mĂĄs de doscientos autores.DUNE is a dual-site experiment for long-baseline neutrino oscillation studies, neutrino astrophysics and nucleon decay searches. ProtoDUNE Dual Phase (DP) is a 6 Ă 6 Ă 6 m3 liquid argon time-projection-chamber (LArTPC) that recorded cosmic-muon data at the CERN Neutrino Platform in 2019â2020 as a prototype of the DUNE Far Detector. Charged particles propagating through the LArTPC produce ionization and scintillation light. The scintillation light signal in these detectors can provide the trigger for non-beam events. In addition, it adds precise timing capabilities and improves the calorimetry measurements. In ProtoDUNE-DP, scintillation and electroluminescence light produced by cosmic muons in the LArTPC is collected by photomultiplier tubes placed up to 7 m away from the ionizing track. In this paper, the ProtoDUNE-DP photon detection system performance is evaluated with a particular focus on the different wavelength shifters, such as PEN and TPB, and the use of Xe-doped LAr, considering its future use in giant LArTPCs. The scintillation light production and propagation processes are analyzed and a comparison of simulation to data is performed, improving understanding of the liquid argon properties
Low exposure long-baseline neutrino oscillation sensitivity of the DUNE experiment
Trabajo realizado por mĂĄs de doscientos autores.The Deep Underground Neutrino Experiment (DUNE) will produce world-leading neutrino oscillation measurements over the lifetime of the experiment. In this work, we explore DUNEâs 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 4Ď (5Ď) 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 3Ď 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 3Ď level with a 100 kt-MW-CY exposure for the maximally CP-violating values δCP=ÂąĎ/2. Additionally, the dependence of DUNEâs 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
Design, construction and operation of the ProtoDUNE-SP Liquid Argon TPC
ArtĂculo realizado por mĂĄs de cien autores.The ProtoDUNE-SP detector is a single-phase liquid argon time projection chamber (LArTPC) that was constructed and operated in the CERN North Area at the end of the H4 beamline. This detector is a prototype for the first far detector module of the Deep Underground Neutrino Experiment (DUNE), which will be constructed at the Sandford Underground Research Facility (SURF) in Lead, South Dakota, U.S.A. The ProtoDUNE-SP detector incorporates full-size components as designed for DUNE and has an active volume of 7 6 7 2 m3. The H4 beam delivers incident particles with well-measured momenta and high-purity particle identification.
ProtoDUNE-SPâs successful operation between 2018 and 2020 demonstrates the effectiveness of the single-phase far detector design. This paper describes the design, construction, assembly and operation of the detector components
Separation of track- and shower-like energy deposits in ProtoDUNE-SP using a convolutional neural network
Trabajo realizado por mĂĄs de doscientos autores.Liquid argon time projection chamber detector technology provides high spatial and calorimetric resolutions on the charged particles traversing liquid argon. As a result, the technology has been used in a number of recent neutrino experiments, and is the technology of choice for the Deep Underground Neutrino Experiment (DUNE). In order to perform high precision measurements of neutrinos in the detector, final state particles need to be effectively identified, and their energy accurately reconstructed. This article proposes an algorithm based on a convolutional neural network to perform the classification of energy deposits and reconstructed particles as track-like or arising from electromagnetic cascades. Results from testing the algorithm on experimental data from ProtoDUNE-SP, a prototype of the DUNE far detector, are presented. The network identifies track- and shower-like particles, as well as Michel electrons, with high efficiency. The performance of the algorithm is consistent between experimental data and simulation
Searching for solar KDAR with DUNE
ArtĂculo escrito por un elevado nĂşmero de autores, solo se referencian el que aparece en primer lugar, el nombre del grupo de colaboraciĂłn, si le hubiere, y los autores pertenecientes a la UAMThe 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 interaction
Separation of track- and shower-like energy deposits in ProtoDUNE-SP using a convolutional neural network
Liquid argon time projection chamber detector
technology provides high spatial and calorimetric resolutions
on the charged particles traversing liquid argon. As a result,
the technology has been used in a number of recent neutrino
experiments, and is the technology of choice for the
Deep Underground Neutrino Experiment (DUNE). In order
to perform high precision measurements of neutrinos in the
detector, final state particles need to be effectively identified,
and their energy accurately reconstructed. This article proposes
an algorithm based on a convolutional neural network
to perform the classification of energy deposits and reconstructed
particles as track-like or arising from electromagnetic cascades. Results from testing the algorithm on experimental
data from ProtoDUNE-SP, a prototype of the DUNE
far detector, are presented. The network identifies track- and
shower-like particles, as well as Michel electrons, with high
efficiency. The performance of the algorithm is consistent
between experimental data and simulation.Fermi Research Alliance, LLC (FRA) DE-AC02-07CH11359Conselho Nacional de Desenvolvimento Cientifico e Tecnologico (CNPQ)
Fundacao Carlos Chagas Filho de Amparo a Pesquisa do Estado do Rio De Janeiro (FAPERJ)
Fundacao de Amparo a Pesquisa do Estado do Goias (FAPEG)
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)CERNMinistry of Education, Youth & Sports - Czech Republic
Czech Republic GovernmentERDF, European Union
H2020-EU, European Union
MSCA, European UnionCentre National de la Recherche Scientifique (CNRS)
French Atomic Energy CommissionIstituto Nazionale di Fisica Nucleare (INFN)Portuguese Foundation for Science and Technology
European CommissionNational Research Foundation of KoreaCAM, Spain
La Caixa Foundation
Junta de Andalucia-FEDER, Spain
Ministry of Science and Innovation, Spain (MICINN)
Spanish Government
Xunta de GaliciaSERI, Switzerland
Swiss National Science Foundation (SNSF)Turkiye Bilimsel ve Teknolojik Arastirma Kurumu (TUBITAK)Royal Society of London
UK Research & Innovation (UKRI)Science & Technology Facilities Council (STFC)
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-AC02-05CH1123
Identification and reconstruction of low-energy electrons in the ProtoDUNE-SP detector
Measurements of electrons from
ν
e
interactions are crucial for the Deep Underground Neutrino Experiment (DUNE) neutrino oscillation program, as well as searches for physics beyond the standard model, supernova neutrino detection, and solar neutrino measurements. This article describes the selection and reconstruction of low-energy (Michel) electrons in the ProtoDUNE-SP detector. ProtoDUNE-SP is one of the prototypes for the DUNE far detector, built and operated at CERN as a charged particle test beam experiment. A sample of low-energy electrons produced by the decay of cosmic muons is selected with a purity of 95%. This sample is used to calibrate the low-energy electron energy scale with two techniques. An electron energy calibration based on a cosmic ray muon sample uses calibration constants derived from measured and simulated cosmic ray muon events. Another calibration technique makes use of the theoretically well-understood Michel electron energy spectrum to convert reconstructed charge to electron energy. In addition, the effects of detector response to low-energy electron energy scale and its resolution including readout electronics threshold effects are quantified. Finally, the relation between the theoretical and reconstructed low-energy electron energy spectra is derived, and the energy resolution is characterized. The low-energy electron selection presented here accounts for about 75% of the total electron deposited energy. After the addition of lost energy using a Monte Carlo simulation, the energy resolution improves from about 40% to 25% at 50 MeV. These results are used to validate the expected capabilities of the DUNE far detector to reconstruct low-energy electrons.Fermi Research Alliance, LLC (FRA)Conselho Nacional de Desenvolvimento Cientifico e Tecnologico (CNPQ)Fundacao Carlos Chagas Filho de Amparo a Pesquisa do Estado do Rio De Janeiro (FAPERJ)Fundacao de Amparo a Pesquisa do Estado do Goias (FAPEG)Fundacao de Amparo a Pesquisa do Estado de Sao Paulo (FAPESP)Canada Foundation for InnovationInstitute of Particle Physics (IPP), CanadaNatural Sciences and Engineering Research Council of Canada (NSERC)CERNMinistry of Education, Youth & Sports - Czech Republic
Czech Republic GovernmentEuropean Union (EU)
Marie Curie ActionsCentre National de la Recherche Scientifique (CNRS)French Atomic Energy Commission DE-AC02-07CH11359Istituto Nazionale di Fisica Nucleare (INFN)Fundacao para a Ciencia e a Tecnologia (FCT)National Research Foundation of KoreaComunidad de MadridLa Caixa FoundationSpanish GovernmentSERI, SwitzerlandSwiss National Science Foundation (SNSF)Turkiye Bilimsel ve Teknolojik Arastirma Kurumu (TUBITAK)UK Research & Innovation (UKRI)
Science & Technology Facilities Council (STFC)Royal SocietyUnited 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-AC02-05CH1123
Low exposure long-baseline neutrino oscillation sensitivity of the DUNE experiment
The Deep Underground Neutrino Experiment (DUNE) will produce world-leading neutrino oscillation
measurements over the lifetime of the experiment. In this work, we explore DUNEâs 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 4Ď (5Ď) 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
3Ď 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 3Ď level with a 100 kt-MW-CY exposure for the maximally
CP-violating values δCP Âź Ď=2. Additionally, the dependence of DUNEâs 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-AC02-07CH11359CNPq, FAPERJ, FAPEG and FAPESP, BrazilCFI, Institute of Particle Physics (IPP) and NSERC, CanadaCERNMĹ MT, Czech RepublicERDF, H2020-EU and
MSCA, European UnionCNRS/IN2P3 and CEA, FranceINFN, ItalyFCT, PortugalNRF, South KoreaComunidad
de Madrid (CAM), FundaciĂłn âLa Caixa,â Junta de
AndalucĂa-FEDER, and MICINN, SpainSERI and SNSF,
SwitzerlandTĂBÄ°TAK, TurkeyThe Royal Society and
UKRI/STFC, United KingdomDOE and NSF, United
States of Americ
- âŚ