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Insertion of STC into TRT at the Department of Physics, Oxford
Credit: CERN

Giles Barr

Professor of Physics

Sub department

  • Particle Physics

Research groups

  • Accelerator Neutrinos
Giles.Barr@physics.ox.ac.uk
Telephone: 01865 (2)73446
Denys Wilkinson Building, room 664a
  • About
  • Publications

Noise Characterization and Filtering in the MicroBooNE Liquid Argon TPC

JOURNAL OF INSTRUMENTATION 12 (2017) ARTN P08003

Authors:

R Acciarri, C Adams, R An, J Anthony, J Asaadi, M Auger, L Bagby, S Balasubramanian, B Baller, C Barnes, G Barr, M Bass, F Bay, M Bishai, A Blake, T Bolton, B Bullard, L Camilleri, D Caratelli, B Carls, R Castillo Fernandez, F Cavanna, H Chen, E Church, D Cianci, E Cohen, GH Collin, JM Conrad, M Convery, JI Crespo-Anadon, G De Geronimo, M Del Tutto, D Devitt, S Dytman, B Eberly, A Ereditato, L Escudero Sanchez, J Esquivel, AA Fadeeva, BT Fleming, W Foreman, AP Furmanski, D Garcia-Gamez, GT Garvey, V Genty, D Goeldi, S Gollapinni, N Graf, E Gramellini, H Greenlee, R Grosso, R Guenette, A Hackenburg, P Hamilton, O Hen, J Hewes, C Hill, J Ho, G Horton-Smith, A Hourlier, E-C Huang, C James, J Jan de Vries, C-M Jen, L Jiang, RA Johnson, J Joshi, H Jostlein, D Kaleko, G Karagiorgi, W Ketchum, B Kirby, M Kirby, T Kobilarcik, I Kreslo, A Laube, S Li, Y Li, A Lister, BR Littlejohn, S Lockwitz, D Lorca, WC Louis, M Luethi, B Lundberg, X Luo, A Marchionni, C Mariani, J Marshall, DA Martinez Caicedo, V Meddage, T Miceli, GB Mills, J Moon, M Mooney, CD Moore, J Mousseau, R Murrells, D Naples, P Nienaber, J Nowak, O Palamara, V Paolone, V Papavassiliou, SF Pate, Z Pavlovic, E Piasetzky, D Porzio, G Pulliam, X Qian, JL Raaf, V Radeka, A Rafique, S Rescia, L Rochester, C Rudolf von Rohr, B Russell, DW Schmitz, A Schukraft, W Seligman, MH Shaevitz, J Sinclair, A Smith, EL Snider, M Soderberg, S Soldner-Rembold, SR Soleti, P Spentzouris, J Spitz, J St John, T Strauss, AM Szelc, N Tagg, K Terao, M Thomson, C Thorn, M Toups, Y-T Tsai, S Tufanli, T Usher, W Van De Pontseele, RG Van de Water, B Viren, M Weber, DA Wickremasinghe, S Wolbers, T Wongjirad, K Woodruff, T Yang, L Yates, B Yu, GP Zeller, J Zennamo, C Zhang
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Updated T2K measurements of muon neutrino and antineutrino disappearance using 1.5 × 10^21 protons on target

Physical Review D American Physical Society 96:1 (2017) 011102

Authors:

K Abe, J Amey, C Andreopoulos, Giles D Barr, David Coplowe, Stephen Dolan, Xianguo Lu, Raj Shah, Tomislav Vladisavljevic, David L Wark, Alfons JG Weber

Abstract:

We report measurements by the T2K experiment of the parameters θ23 and Δm322 governing the disappearance of muon neutrinos and antineutrinos in the three-flavor neutrino oscillation model. Utilizing the ability of the experiment to run with either a mainly neutrino or a mainly antineutrino beam, the parameters are measured separately for neutrinos and antineutrinos. Using 7.482×1020 POT in neutrino running mode and 7.471×1020 POT in antineutrino mode, T2K obtained sin2(θ23)=0.51-0.07+0.08 and Δm322=2.53-0.13+0.15×10-3 eV2/c4 for neutrinos, and sin2(θ-23)=0.42-0.07+0.25 and Δm-232=2.55-0.27+0.33×10-3 eV2/c4 for antineutrinos (assuming normal mass ordering). No significant differences between the values of the parameters describing the disappearance of muon neutrinos and antineutrinos were observed.
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Search for Lorentz and violation using sidereal time dependence of neutrino flavor transitions over a short baseline

Physical Review D American Physical Society 95:11 (2017)

Authors:

K Abe, J Amey, C Andreopoulos, M Antonova, S Aoki, A Ariga, S Assylbekov, D Autiero, S Ban, FCT Barbato, M Barbi, GJ Barker, Giles Barr, C Barry, P Bartet-Friburg, M Batkiewicz, V Berardi, S Berkman, S Bhadra, S Bienstock, A Blondel, S Bolognesi, S Bordoni, SB Boyd, D Brailsford

Abstract:

A class of extensions of the Standard Model allows Lorentz and CPT violations, which can be identified by the observation of sidereal modulations in the neutrino interaction rate. A search for such modulations was performed using the T2K on-axis near detector. Two complementary methods were used in this study, both of which resulted in no evidence of a signal. Limits on associated Lorentz and CPT-violating terms from the Standard Model extension have been derived by taking into account their correlations in this model for the first time. These results imply such symmetry violations are suppressed by a factor of more than 1020 at the GeV scale.
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Combined analysis of neutrino and antineutrino oscillations at T2K

Physical Review Letters American Physical Society 118:15 (2017) 151801

Authors:

K Abe, J Amey, C Andreopoulos, Giles D Barr, David Coplowe, Stephen Dolan, Xianguo Lu, Raj Shah, Tomislav Vladisavljevic, David L Wark, Alfons JG Weber

Abstract:

T2K reports its first results in the search for CP violation in neutrino oscillations using appearance and disappearance channels for neutrino- and antineutrino-mode beams. The data include all runs from January 2010 to May 2016 and comprise 7.482×10^{20} protons on target in neutrino mode, which yielded in the far detector 32 e-like and 135  μ-like events, and 7.471×10^{20} protons on target in antineutrino mode, which yielded 4 e-like and 66  μ-like events. Reactor measurements of sin^{2}2θ_{13} have been used as an additional constraint. The one-dimensional confidence interval at 90% for the phase δ_{CP} spans the range (-3.13, -0.39) for normal mass ordering. The CP conservation hypothesis (δ_{CP}=0, π) is excluded at 90% C.L.
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Convolutional neural networks applied to neutrino events in a liquid argon time projection chamber

Journal of Instrumentation Institute of Physics 7 (2017) P03011

Authors:

R Acciarri, C Adams, R An, G Barr, Matthew Bass, M del Tutto, Roxanne Guenette, Ann P Laube, Stefano R Soleti

Abstract:

We present several studies of convolutional neural networks applied to data coming from the MicroBooNE detector, a liquid argon time projection chamber (LArTPC). The algorithms studied include the classification of single particle images, the localization of single particle and neutrino interactions in an image, and the detection of a simulated neutrino event overlaid with cosmic ray backgrounds taken from real detector data. These studies demonstrate the potential of convolutional neural networks for particle identification or event detection on simulated neutrino interactions. We also address technical issues that arise when applying this technique to data from a large LArTPC at or near ground level.
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