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Author DUNE Collaboration (Abud, A.A. et al); Antonova, M.; Barenboim, G.; Cervera-Villanueva, A.; De Romeri, V.; Fernandez Menendez, P.; Garcia-Peris, M.A.; Martin-Albo, J.; Martinez-Mirave, P.; Mena, O.; Molina Bueno, L.; Novella, P.; Pompa, F.; Sorel, M.; Ternes, C.A.; Tortola, M.; Valle, J.W.F. url  doi
openurl 
  Title Separation of track- and shower-like energy deposits in ProtoDUNE-SP using a convolutional neural network Type Journal Article
  Year 2022 Publication European Physical Journal C Abbreviated Journal Eur. Phys. J. C  
  Volume 82 Issue 10 Pages 903 - 19pp  
  Keywords  
  Abstract 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.  
  Address [Isenhower, L.] Abilenexs Christian Univ, Abilene, TX 79601 USA, Email: tjyang@fnal.gov  
  Corporate Author Thesis  
  Publisher Springer Place of Publication Editor  
  Language English Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 1434-6044 ISBN Medium  
  Area Expedition Conference  
  Notes WOS:000866503200001 Approved no  
  Is ISI (up) yes International Collaboration yes  
  Call Number IFIC @ pastor @ Serial 5386  
Permanent link to this record
 

 
Author T2K Collaboration (Abe, K. et al); Antonova, M.; Cervera-Villanueva, A.; Molina Bueno, L.; Novella, P. url  doi
openurl 
  Title Scintillator ageing of the T2K near detectors fro 2010 to 2021 Type Journal Article
  Year 2022 Publication Journal of Instrumentation Abbreviated Journal J. Instrum.  
  Volume 17 Issue 10 Pages P10028 - 36pp  
  Keywords Gamma detectors (scintillators, CZT, HPGe, HgI etc); Neutrino detectors; Performance of High Energy Physics Detectors; Scintillators; scintillation and light emission processes (solid, gas and liquid scintillators)  
  Abstract The T2K experiment widely uses plastic scintillator as a target for neutrino interactions and an active medium for the measurement of charged particles produced in neutrino interactions at its near detector complex. Over 10 years of operation the measured light yield recorded by the scintillator based subsystems has been observed to degrade by 0.9-2.2% per year. Extrapolation of the degradation rate through to 2040 indicates the recorded light yield should remain above the lower threshold used by the current reconstruction algorithms for all subsystems. This will allow the near detectors to continue contributing to important physics measurements during the T2K-II and Hyper-Kamiokande eras. Additionally, work to disentangle the degradation of the plastic scintillator and wavelength shifting fibres shows that the reduction in light yield can be attributed to the ageing of the plastic scintillator. The long component of the attenuation length of the wavelength shifting fibres was observed to degrade by 1.3-5.4% per year, while the short component of the attenuation length did not show any conclusive degradation.  
  Address [Labarga, L.] Univ Autonoma Madrid, Dept Theoret Phys, ES-28049 Madrid, Spain, Email: m.lawe@lancaster.ac.uk  
  Corporate Author Thesis  
  Publisher IOP Publishing Ltd Place of Publication Editor  
  Language English Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 1748-0221 ISBN Medium  
  Area Expedition Conference  
  Notes WOS:000898723700007 Approved no  
  Is ISI (up) yes International Collaboration yes  
  Call Number IFIC @ pastor @ Serial 5442  
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Author DUNE Collaboration (Abud, A.A. et al); Amedo, P.; Antonova, M.; Barenboim, G.; Cervera-Villanueva, A.; De Romeri, V.; Garcia-Peris, M.A.; Martin-Albo, J.; Martinez-Mirave, P.; Mena, O.; Molina Bueno, L.; Novella, P.; Pompa, F.; Rocabado Rocha, J.L.; Sorel, M.; Tortola, M.; Tuzi, M.; Valle, J.W.F.; Yahlali, N. url  doi
openurl 
  Title Highly-parallelized simulation of a pixelated LArTPC on a GPU Type Journal Article
  Year 2023 Publication Journal of Instrumentation Abbreviated Journal J. Instrum.  
  Volume 18 Issue 4 Pages P04034 - 35pp  
  Keywords Detector modelling and simulations II (electric fields, charge transport, multiplication, and induction, pulse formation, electron emission, etc); Simulation methods and programs; Nobleliquid detectors (scintillation, ionization, double-phase); Time projection Chambers (TPC)  
  Abstract The rapid development of general-purpose computing on graphics processing units (GPGPU) is allowing the implementation of highly-parallelized Monte Carlo simulation chains for particle physics experiments. This technique is particularly suitable for the simulation of a pixelated charge readout for time projection chambers, given the large number of channels that this technology employs. Here we present the first implementation of a full microphysical simulator of a liquid argon time projection chamber (LArTPC) equipped with light readout and pixelated charge readout, developed for the DUNE Near Detector. The software is implemented with an end-to-end set of GPU-optimized algorithms. The algorithms have been written in Python and translated into CUDA kernels using Numba, a just-in-time compiler for a subset of Python and NumPy instructions. The GPU implementation achieves a speed up of four orders of magnitude compared with the equivalent CPU version. The simulation of the current induced on 103 pixels takes around 1 ms on the GPU, compared with approximately 10 s on the CPU. The results of the simulation are compared against data from a pixel-readout LArTPC prototype.  
  Address [Isenhower, L.] Abilene Christian Univ, Abilene, TX 79601 USA, Email: roberto@lbl.gov  
  Corporate Author Thesis  
  Publisher IOP Publishing Ltd Place of Publication Editor  
  Language English Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 1748-0221 ISBN Medium  
  Area Expedition Conference  
  Notes WOS:000986658100009 Approved no  
  Is ISI (up) yes International Collaboration yes  
  Call Number IFIC @ pastor @ Serial 5551  
Permanent link to this record
 

 
Author DUNE Collaboration (Abud, A.A. et al); Amedo, P.; Antonova, M.; Barenboim, G.; Cervera-Villanueva, A.; De Romeri, V.; Garcia-Peris, M.A.; Martin-Albo, J.; Martinez-Mirave, P.; Mena, O.; Molina Bueno, L.; Novella, P.; Pompa, F.; Rocabado Rocha, J.L.; Sorel, M.; Tortola, M.; Valle, J.W.F. url  doi
openurl 
  Title Identification and reconstruction of low-energy electrons in the ProtoDUNE-SP detector Type Journal Article
  Year 2023 Publication Physical Review D Abbreviated Journal Phys. Rev. D  
  Volume 107 Issue 9 Pages 092012 - 22pp  
  Keywords  
  Abstract Measurements of electrons from ?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.  
  Address [Isenhower, L.] Abilene Christian Univ, Abilene, TX 79601 USA, Email: zdjurcic@anl.gov;  
  Corporate Author Thesis  
  Publisher Amer Physical Soc Place of Publication Editor  
  Language English Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2470-0010 ISBN Medium  
  Area Expedition Conference  
  Notes WOS:001010953400003 Approved no  
  Is ISI (up) yes International Collaboration yes  
  Call Number IFIC @ pastor @ Serial 5588  
Permanent link to this record
 

 
Author DUNE Collaboration (Abud, A.A. et al); Amedo, P.; Antonova, M.; Barenboim, G.; Benitez Montiel, C.; Cervera-Villanueva, A.; De Romeri, V.; Garcia-Peris, M.A.; Lopez March, N.; Martin-Albo, J.; Martinez Mirave, P.; Mena, O.; Molina Bueno, L.; Novella, P.; Pompa, F.; Rocabado Rocha, J.L.; Sorel, M.; Soto-Oton, J.; Tortola, M.; Tuzi, M.; Valle, J.W.F.; Yahlali, N. url  doi
openurl 
  Title Impact of cross-section uncertainties on supernova neutrino spectral parameter fitting in the Deep Underground Neutrino Experiment Type Journal Article
  Year 2023 Publication Physical Review D Abbreviated Journal Phys. Rev. D  
  Volume 107 Issue 11 Pages 112012 - 25pp  
  Keywords  
  Abstract A primary goal of the upcoming Deep Underground Neutrino Experiment (DUNE) is to measure the Oo10 thorn 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 & nu;e 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 & sigma;oE & nu; thorn for charged-current & nu;e absorption on argon. In the context of a simulated extraction of supernova & nu;e spectral parameters from a toy analysis, we investigate the impact of & sigma;oE & nu; thorn modeling uncertainties on DUNE's supernova neutrino physics sensitivity for the first time. We find that the currently large theoretical uncertainties on & sigma;oE & nu; thorn must be substantially reduced before the & nu;e 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 & sigma;oE & nu; thorn 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 & sigma;oE & nu; thorn . A direct measurement of low-energy & nu;e-argon scattering would be invaluable for improving the theoretical precision to the needed level.  
  Address [Isenhower, L.] Abilene Christian Univ, Abilene, TX 79601 USA  
  Corporate Author Thesis  
  Publisher Amer Physical Soc Place of Publication Editor  
  Language English Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2470-0010 ISBN Medium  
  Area Expedition Conference  
  Notes WOS:001063367400002 Approved no  
  Is ISI (up) yes International Collaboration yes  
  Call Number IFIC @ pastor @ Serial 5669  
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