2,033 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
W-algebras from symplectomorphisms
It is shown how -algebras emerge from very peculiar canonical
transformations with respect to the canonical symplectic structure on a compact
Riemann surface. The action of smooth diffeomorphisms of the cotangent bundle
on suitable generating functions is written in the BRS framework while a
-symmetry is exhibited. Subsequently, the complex structure of the symmetry
spaces is studied and the related BRS properties are discussed. The specific
example of the so-called -algebra is treated in relation to some other
different approaches.Comment: LaTex, 25 pages, no figures, to appear in Journ. Math. Phy
Caracterização da variabilidade intraespecĂfica do patĂłtipo 65 de Colletotrichum lindemuthianum.
O objetivo deste trabalho foi avaliar a reação diferencial entre feijoeiro comum e diferentes isolados do patótipo 65
BRST QUANTIZATION OF NON-ABELIAN BF TOPOLOGICAL THEORIES
The off-shell nilpotent BRST charge and the BRST invariant effective action
for non-abelian BF topological theories over D-dimensional manifolds are
explicitly constructed. These theories have the feature of being reducible with
exactly D-3 stages of reducibility. The adequate extended phase space including
the different levels of ghosts for ghosts is explicitly obtained. Using the
structure of the resulting BRST charge we show that for topological BF theories
the semi-classical approximation completely describes the quantum theory. The
independence of the partition function on the metric also follows from our
explicit construction in a straightforward way.Comment: 13 pages, amste
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
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