Search Results for author: R. Carr

Found 3 papers, 2 papers with code

A Deep Neural Network for Pixel-Level Electromagnetic Particle Identification in the MicroBooNE Liquid Argon Time Projection Chamber

no code implementations22 Aug 2018 MicroBooNE collaboration, 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, E. Cohen, G. H. Collin, J. M. Conrad, M. Convery, L. Cooper-Troendle, J. I. Crespo-Anadon, M. Del Tutto, D. Devitt, A. Diaz, K. Duffy, S. Dytman, B. Eberly, A. Ereditato, L. Escudero Sanchez, J. Esquivel, J. J. Evans, A. A. Fadeeva, R. S. Fitzpatrick, B. T. Fleming, D. Franco, A. P. Furmanski, D. Garcia-Gamez, G. T. Garvey, 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, G. A. Horton-Smith, A. Hourlier, E. -C. Huang, C. James, J. Jan de Vries, L. Jiang, R. A. Johnson, J. Joshi, H. Jostlein, Y. -J. Jwa, G. Karagiorgi, W. Ketchum, B. Kirby, M. Kirby, T. Kobilarcik, I. Kreslo, Y. Li, A. Lister, B. R. Littlejohn, S. Lockwitz, D. Lorca, W. C. Louis, M. Luethi, B. Lundberg, X. Luo, A. Marchionni, S. Marcocci, C. Mariani, J. Marshall, J. Martin-Albo, D. A. Martinez Caicedo, A. Mastbaum, V. Meddage, T. Mettler, G. B. Mills, K. Mistry, A. Mogan, J. Moon, M. Mooney, C. D. Moore, J. Mousseau, M. Murphy, R. Murrells, D. Naples, P. Nienaber, J. Nowak, O. Palamara, V. Pandey, V. Paolone, A. Papadopoulou, V. Papavassiliou, S. F. Pate, Z. Pavlovic, E. Piasetzky, D. Porzio, G. Pulliam, X. Qian, J. L. Raaf, A. Rafique, L. Rochester, M. Ross-Lonergan, C. Rudolf von Rohr, B. Russell, D. W. Schmitz, A. Schukraft, W. Seligman, M. H. Shaevitz, R. Sharankova, J. Sinclair, A. Smith, E. L. Snider, M. Soderberg, S. Soldner-Rembold, S. R. Soleti, P. Spentzouris, J. Spitz, J. St. John, T. Strauss, K. Sutton, S. Sword-Fehlberg, A. M. Szelc, N. Tagg, W. Tang, K. Terao, M. Thomson, R. T. Thornton, M. Toups, Y. -T. Tsai, S. Tufanli, T. Usher, W. Van De Pontseele, R. G. Van de Water, B. Viren, M. Weber, H. Wei, D. A. Wickremasinghe, K. Wierman, Z. Williams, S. Wolbers, T. Wongjirad, K. Woodruff, T. Yang, G. Yarbrough, L. E. Yates, G. P. Zeller, J. Zennamo, C. Zhang

We have developed a convolutional neural network (CNN) 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.

Dark Matter Search in a Proton Beam Dump with MiniBooNE

1 code implementation9 Feb 2017 A. A. Aguilar-Arevalo, M. Backfish, A. Bashyal, B. Batell, B. C. Brown, R. Carr, A. Chatterjee, R. L. Cooper, P. deNiverville, R. Dharmapalan, Z. Djurcic, R. Ford, F. G. Garcia, G. T. Garvey, J. Grange, J. A. Green, W. Huelsnitz, I. L. de Icaza Astiz, G. Karagiorgi, T. Katori, W. Ketchum, T. Kobilarcik, Q. Liu, W. C. Louis, W. Marsh, C. D. Moore, G. B. Mills, J. Mirabal, P. Nienaber, Z. Pavlovic, D. Perevalov, H. Ray, B. P. Roe, M. H. Shaevitz, S. Shahsavarani, I. Stancu, R. Tayloe, C. Taylor, R. T. Thornton, R. Van de Water, W. Wester, D. H. White, J. Yu

The MiniBooNE-DM collaboration searched for vector-boson mediated production of dark matter using the Fermilab 8 GeV Booster proton beam in a dedicated run with $1. 86 \times 10^{20}$ protons delivered to a steel beam dump.

High Energy Physics - Experiment High Energy Physics - Phenomenology

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