Search Results for author: P. Rojas
Found 2 papers, 1 papers with code
Adjusting Neutrino Interaction Models and Evaluating Uncertainties using NOvA Near Detector Data
1 code implementation • 15 Jun 2020 • NOvA Collaboration, M. A. Acero, P. Adamson, G. Agam, L. Aliaga, T. Alion, V. Allakhverdian, N. Anfimov, A. Antoshkin, L. Asquith, A. Aurisano, A. Back, C. Backhouse, M. Baird, N. Balashov, P. Baldi, B. A. Bambah, S. Bashar, K. Bays, S. Bending, R. Bernstein, V. Bhatnagar, B. Bhuyan, J. Bian, J. Blair, A. C. Booth, P. Bour, R. Bowles, C. Bromberg, N. Buchanan, A. Butkevich, S. Calvez, T. J. Carroll, E. Catano-Mur, S. Childress, B. C. Choudhary, T. E. Coan, M. Colo, L. Corwin, L. Cremonesi, G. S. Davies, P. F. Derwent, P. Ding, Z. Djurcic, D. Doyle, E. C. Dukes, P. Dung, H. Duyang, S. Edayath, R. Ehrlich, M. Elkins, G. J. Feldman, P. Filip, W. Flanagan, J. Franc, M. J. Frank, H. R. Gallagher, R. Gandrajula, F. Gao, S. Germani, A. Giri, R. A. Gomes, M. C. Goodman, V. Grichine, M. Groh, R. Group, B. Guo, A. Habig, F. Hakl, J. Hartnell, R. Hatcher, A. Hatzikoutelis, K. Heller, J. Hewes, A. Himmel, A. Holin, B. Howard, J. Huang, J. Hylen, F. Jediny, C. Johnson, M. Judah, I. Kakorin, D. Kalra, D. M. Kaplan, R. Keloth, O. Klimov, L. W. Koerner, L. Kolupaeva, S. Kotelnikov, Ch. Kullenberg, A. Kumar, C. D. Kuruppu, V. Kus, T. Lackey, K. Lang, L. Li, S. Lin, M. Lokajicek, S. Luchuk, K. Maan, S. Magill, W. A. Mann, M. L. Marshak, M. Martinez-Casales, V. Matveev, B. Mayes, D. P. Méndez, M. D. Messier, H. Meyer, T. Miao, W. H. Miller, S. R. Mishra, A. Mislivec, R. Mohanta, A. Moren, A. Morozova, L. Mualem, M. Muether, S. Mufson, K. Mulder, R. Murphy, J. Musser, D. Naples, N. Nayak, J. K. Nelson, R. Nichol, G. Nikseresht, E. Niner, A. Norman, A. Norrick, T. Nosek, A. Olshevskiy, T. Olson, J. Paley, R. B. Patterson, G. Pawloski, O. Petrova, R. Petti, R. K. Plunkett, A. Rafique, F. Psihas, A. Radovic, V. Raj, B. Ramson, B. Rebel, P. Rojas, V. Ryabov, O. Samoylov, M. C. Sanchez, S. Sánchez Falero, I. S. Seong, P. Shanahan, A. Sheshukov, P. Singh, V. Singh, E. Smith, J. Smolik, P. Snopok, N. Solomey, A. Sousa, K. Soustruznik, M. Strait, L. Suter, A. Sutton, C. Sweeney, R. L. Talaga, B. Tapia Oregui, P. Tas, R. B. Thayyullathil, J. Thomas, E. Tiras, D. Torbunov, J. Tripathi, Y. Torun, J. Urheim, P. Vahle, Z. Vallari, J. Vasel, P. Vokac, T. Vrba, M. Wallbank, T. K. Warburton, M. Wetstein, D. Whittington, S. G. Wojcicki, J. Wolcott, A. Yallappa Dombara, K. Yonehara, S. Yu, Y. Yu, S. Zadorozhnyy, J. Zalesak, Y. Zhang, R. Zwaska
The two-detector design of the NOvA neutrino oscillation experiment, in which two functionally identical detectors are exposed to an intense neutrino beam, aids in canceling leading order effects of cross-section uncertainties.
High Energy Physics - Experiment
Impact of noise on a dynamical system: prediction and uncertainties from a swarm-optimized neural network
no code implementations • 20 Sep 2015 • C. H. López-Caraballo, J. A. Lazzús, I. Salfate, P. Rojas, M. Rivera, L. Palma-Chilla
Next, the hybrid ANN+PSO algorithm was complemented with a Gaussian stochastic procedure (called {\it stochastic} hybrid ANN+PSO) in order to obtain a new estimator of the predictions, which also allowed us to compute uncertainties of predictions for noisy Mackey--Glass chaotic time series.
