Search Results for author: H. Ray

Found 6 papers, 4 papers with code

Cosmic Background Removal with Deep Neural Networks in SBND

1 code implementation2 Dec 2020 SBND Collaboration, R. Acciarri, C. Adams, C. Andreopoulos, J. Asaadi, M. Babicz, C. Backhouse, W. Badgett, L. Bagby, D. Barker, V. Basque, Q. Bazetto, M. Betancourt, A. Bhanderi, A. Bhat, C. Bonifazi, D. Brailsford, G. Brandt, T. Brooks, F. Carneiro, Y. Chen, H. Chen, G. Chisnall, I. Crespo-Anadón, E. Cristaldo, C. Cuesta, I., L. de Icaza Astiz, A. De Roeck, G. de Sá Pereira, M. Del Tutto, V. Di Benedetto, A. Ereditato, J. Evans, C. Ezeribe, S. Fitzpatrick, T. Fleming, W. Foreman, D. Franco, I. Furic, P. Furmanski, S. Gao, D. Garcia-Gamez, H. Frandini, G. Ge, I. Gil-Botella, S. Gollapinni, O. Goodwin, P. Green, C. Griffith, R. Guenette, P. Guzowski, T. Ham, J. Henzerling, A. Holin, B. Howard, R., S. Jones, D. Kalra, G. Karagiorgi, L. Kashur, W. Ketchum, M., J. Kim, A. Kudryavtsev, J. Larkin, H. Lay, I. Lepetic, B., R. Littlejohn, W., C. Louis, A., A. Machado, M. Malek, D. Mardsen, C. Mariani, F. Marinho, A. Mastbaum, K. Mavrokoridis, N. McConkey, V. Meddage, P. Méndez, T. Mettler, K. Mistry, A. Mogan, J. Molina, M. Mooney, L. Mora, C., A. Moura, J. Mousseau, A. Navrer-Agasson, F., J. Nicolas-Arnaldos, A. Nowak, O. Palamara, V. Pandey, J. Pater, L. Paulucci, V., L. Pimentel, F. Psihas, G. Putnam, X. Qian, E. Raguzin, H. Ray, M. Reggiani-Guzzo, D. Rivera, M. Roda, M. Ross-Lonergan, G. Scanavini, A. Scarff, D., W. Schmitz, A. Schukraft, E. Segreto, M. Soares Nunes, M. Soderberg, S. Söldner-Rembold, J. Spitz, N., J., C. Spooner, M. Stancari, V. Stenico, A. Szelc, W. Tang, J. Tena Vidal, D. Torretta, M. Toups, C. Touramanis, M. Tripathi, S. Tufanli, E. Tyley, G., A. Valdiviesso, E. Worcester, M. Worcester, G. Yarbrough, J. Yu, B. Zamorano, J. Zennamo, A. Zglam

In liquid argon time projection chambers exposed to neutrino beams and running on or near surface levels, cosmic muons and other cosmic particles are incident on the detectors while a single neutrino-induced event is being recorded.

Semantic Segmentation Data Analysis, Statistics and Probability

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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