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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

First measurement of inclusive muon neutrino charged current differential cross sections on argon at Eν∼0.8  GeV with the MicroBooNE detector

Physical Review Letters American Physical Society 123:13 (2019) 131801

Authors:

P Abratenko, C Adams, M Alrashed, R An, J Anthony, J Asaadi, A Ashkenazi, M Auger, S Balasubramanian, B Baller, C Barnes, Giles Barr, M Bass, F Bay, A Bhat, K Bhattacharya, M Bishai, A Blake, T Bolton, L Camilleri, D Caratelli, I Caro Terrazas, R Carr, R Castillo Fernandez, F Cavanna, G Cerati, Y Chen, E Church, D Cianci, EO Cohen, GH Collin, JM Conrad, M Convery, L Cooper-Troendle, JI Crespo-Anadón, Marco Del Tutto, D Devitt, A Diaz, L Domine, K Duffy, S Dytman, B Eberly, A Ereditato, L Escudero Sanchez, J Esquivel, JJ Evans, RS Fitzpatrick, BT Fleming, D Franco, AP Furmanski

Abstract:

We report the first measurement of the double-differential and total muon-neutrino charged-current inclusive cross sections on argon at a mean neutrino energy of 0.8 GeV. Data were collected using the MicroBooNE liquid argon time projection chamber located in the Fermilab Booster neutrino beam, and correspond to $1.6 \times 10^{20}$ protons on target of exposure. The measured differential cross sections are presented as a function of muon momentum, using multiple Coulomb scattering as a momentum measurement technique, and the muon angle with respect to the beam direction. We compare the measured cross sections to multiple neutrino event generators and find better agreement with those containing more complete physics at low $Q^2$. The total flux integrated cross section is measured to be $0.693 \pm 0.010 \, (\text{stat.}) \pm 0.165 \, (\text{syst.}) \times 10^{-38} \, \text{cm}^{2}$.
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Search for heavy neutrinos with the T2K near detector ND280

Physical Review D American Physical Society 100:5 (2019) 052006

Authors:

K Abe, R Akutsu, A Ali, C Andreopoulos, L Anthony, M Antonova, S Aoki, A Ariga, Y Ashida, Y Awataguchi, Y Azuma, S Ban, M Barbi, GJ Barker, Giles Barr, C Barry, M Batkiewicz-Kwasniak, F Bench, V Berardi, S Berkman, RM Berner, L Berns, S Bhadra, S Bienstock, A Blondel, S Bolognesi, B Bourguille, SB Boyd, D Brailsford, A Bravar, C Bronner, MB Avanzini, J Calcutt, T Campbell, S Cao, SL Cartwright, Catanesi, A Cervera, A Chappell, C Checchia, D Cherdack, N Chikuma, G Christodoulou, J Coleman, G Collazuol, D Coplowe, A Cudd, A Dabrowska, GD Rosa, T Dealtry

Abstract:

This paper reports on the search for heavy neutrinos with masses in the range $140 < M_N < 493$ MeV/c$^2$ using the off-axis near detector ND280 of the T2K experiment. These particles can be produced from kaon decays in the standard neutrino beam and then subsequently decay in ND280. The decay modes under consideration are $N \to \ell^{\pm}_{\alpha} \pi^{\mp}$ and $N \to \ell^+_{\alpha} \ell^-_{\beta} \nu (\bar\nu)$ ($\alpha,\beta=e,\mu$). A search for such events has been made using the Time Projection Chambers of ND280, where the background has been reduced to less than two events in the current dataset in all channels. No excess has been observed in the signal region. A combined Bayesian statistical approach has been applied to extract upper limits on the mixing elements of heavy neutrinos to electron-, muon- and tau- flavoured currents ($U_e^2$, $U_{\mu}^2$, $U_{\tau}^2$) as a function of the heavy neutrino mass, e.g. $U_e^2 < 10^{-9}$ at $90\%$ C.L. for a mass of $390$ MeV/c$^2$. These constraints are competitive with previous experiments.
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Rejecting cosmic background for exclusive charged current quasi elastic neutrino interaction studies with Liquid Argon TPCs; a case study with the MicroBooNE detector

European Physical Journal C Springer Nature 79:8 (2019) 673

Authors:

C Adams, M Alrashed, R An, J Anthony, J Asaadi, A Ashkenazi, M Auger, S Balasubramanian, B Baller, C Barnes, G Barr, M Bass, F Bay, A Bhat, K Bhattacharya, M Bishai, A Blake, T Bolton, L Camilleri, D Caratelli, I Caro Terrazas, R Carr, R Castillo Fernandez, F Cavanna, G Cerati, Y Chen, E Church, D Cianci, EO Cohen, GH Collin, JM Conrad, M Convery, L Cooper-Troendle, JI Crespo-Anadón, M Del Tutto, A Devitt, A Diaz, K Duffy, S Dytman, B Eberly, A Ereditato, L Escudero Sanchez, J Esquivel, JJ Evans, AA Fadeeva, RS Fitzpatrick, BT Fleming, D Franco, AP Furmanski, D Garcia-Gamez, V Genty, D Goeldi, S Gollapinni, O Goodwin, E Gramellini, H Greenlee, R Grosso, R Guenette, P Guzowski, A Hackenburg, P Hamilton, O Hen, J Hewes, C Hill, GA Horton-Smith, A Hourlier, E-C Huang, C James, J Jan de Vries, X Ji, L Jiang, RA Johnson, J Joshi, H Jostlein, Y-J Jwa, G Karagiorgi, W Ketchum, B Kirby, M Kirby, T Kobilarcik, I Kreslo, I Lepetic, Y Li, A Lister, BR Littlejohn, S Lockwitz, D Lorca, WC Louis, M Luethi, B Lundberg, X Luo, A Marchionni, S Marcocci, C Mariani, J Marshall, J Martin-Albo, DA Martinez Caicedo, A Mastbaum, V Meddage, T Mettler, K Mistry, A Mogan, J Moon, M Mooney, CD Moore, J Mousseau, M Murphy, R Murrells, D Naples, P Nienaber, J Nowak, O Palamara, V Pandey, V Paolone, A Papadopoulou, V Papavassiliou, SF Pate, Z Pavlovic, E Piasetzky, D Porzio, G Pulliam, X Qian, JL Raaf, A Rafique, L Ren, L Rochester, M Ross-Lonergan, C Rudolf von Rohr, B Russell, G Scanavini, DW Schmitz, A Schukraft, W Seligman, MH Shaevitz, R Sharankova, J Sinclair, A Smith, EL Snider, M Soderberg, S Söldner-Rembold, SR Soleti, P Spentzouris, J Spitz, J St John, T Strauss, K Sutton, S Sword-Fehlberg, AM Szelc, N Tagg, W Tang, K Terao, M Thomson, RT Thornton, M Toups, Y-T Tsai, S Tufanli, T Usher, W Van De Pontseele, RG Van de Water, B Viren, M Weber, H Wei, DA Wickremasinghe, K Wierman, Z Williams, S Wolbers, T Wongjirad, K Woodruff, T Yang, G Yarbrough, LE Yates, GP Zeller, J Zennamo, C Zhang
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Search for neutral-current induced single photon production at the ND280 near detector in T2K

Journal of Physics G: Nuclear and Particle Physics IOP Publishing 46:8 (2019) 08LT01

Authors:

K Abe, R Akutsu, A Ali, C Andreopoulos, L Anthony, M Antonova, S Aoki, A Ariga, Y Ashida, Y Awataguchi, Y Azuma, S Ban, M Barbi, GJ Barker, Giles Barr, C Barry, M Batkiewicz-Kwasniak, F Bench, V Berardi, S Berkman, RM Berner, L Berns, S Bhadra, S Bienstock, A Blondel

Abstract:

All rights reserved. Neutrino neutral-current (NC) induced single photon production is a subleading order process for accelerator-based neutrino beam experiments including T2K. It is, however, an important process to understand because it is a background for electron (anti)neutrino appearance oscillation experiments. Here, we performed the first search of this process below 1 GeV using the finegrained detector at the T2K ND280 off-axis near detector. By reconstructing single photon kinematics from electron positron pairs, we achieved 95% pure gamma ray sample from 5.738 1020 protons-on-targets neutrino mode data. We do not find positive evidence of NC induced single photon production in this sample. We set the model-dependent upper limit on the cross-section for this process, at 0.114 10-38 cm2 (90% C.L.) per nucleon, using the J-PARC off-axis neutrino beam with an average energy of .En. ~ 0.6 GeV. This is the first limit on this process below 1.GeV which is important for current and future oscillation experiments looking for electron neutrino appearance oscillation signals.
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Deep neural network for pixel-level electromagnetic particle identification in the MicroBooNE liquid argon time projection chamber

Physical Review D American Physical Society 99:9 (2019) 092001

Authors:

C Adams, M Alrashed, R An, J Anthony, J Asaadi, A Ashkenazi, M Auger, S Balasubramanian, B Baller, C Barnes, Giles Barr, M Bass, F Bay, A Bhat, K Bhattacharya, M Bishai, A Blake, T Bolton, L Camilleri, D Caratelli, IC Terrazas, R Carr, RC Fernandez, F Cavanna, G Cerati

Abstract:

We have developed a convolutional neural network that can make a pixel-level prediction of objects in image data recorded by a liquid argon time projection chamber (LArTPC) for the first time. We describe the network design, training techniques, and software tools developed to train this network. The goal of this work is to develop a complete deep neural network based data reconstruction chain for the MicroBooNE detector. We show the first demonstration of a network's validity on real LArTPC data using MicroBooNE collection plane images. The demonstration is performed for stopping muon and a νμ charged-current neutral pion data samples.
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