Deep Underground Neutrino Experiment (DUNE), far detector technical design report, volume II: DUNE physics B Abi, R Acciarri, MA Acero, G Adamov, D Adams, M Adinolfi, Z Ahmad, ... arXiv preprint arXiv:2002.03005, 2020 | 413 | 2020 |
Volume I. introduction to DUNE B Abi, R Acciarri, MA Acero, G Adamov, D Adams, M Adinolfi, Z Ahmad, ... Journal of instrumentation 15 (08), T08008, 2020 | 396 | 2020 |
Long-baseline neutrino oscillation physics potential of the DUNE experiment B Abi, R Acciarri, MA Acero, G Adamov, D Adams, M Adinolfi, Z Ahmad, ... The European Physical Journal C 80 (10), 1-34, 2020 | 291 | 2020 |
Deep underground neutrino experiment: DUNE A Falcone, DUNE Collaboration Nuclear Instruments and Methods in Physics Research Section A: Accelerators …, 2022 | 270 | 2022 |
Volume IV. The DUNE far detector single-phase technology B Abi, R Acciarri, MA Acero, G Adamov, D Adams, M Adinolfi, Z Ahmad, ... Journal of instrumentation 15 (08), T08010, 2020 | 201* | 2020 |
Supernova neutrino burst detection with the deep underground neutrino experiment: DUNE Collaboration B Abi, R Acciarri, MA Acero, G Adamov, D Adams, M Adinolfi, Z Ahmad, ... The European Physical Journal C 81 (5), 423, 2021 | 185 | 2021 |
Deep underground neutrino experiment (DUNE) near detector conceptual design report AA Abud, B Abi, R Acciarri, MA Acero, G Adamov, D Adams, M Adinolfi, ... Instruments 5 (4), 31, 2021 | 184 | 2021 |
The DUNE far detector interim design report volume 1: physics, technology and strategies B Abi, R Acciarri, MA Acero, M Adamowski, C Adams, D Adams, ... arXiv preprint arXiv:1807.10334, 2018 | 184 | 2018 |
Convolution on neural networks for high-frequency trend prediction of cryptocurrency exchange rates using technical indicators S Alonso-Monsalve, AL Suárez-Cetrulo, A Cervantes, D Quintana Expert Systems with Applications 149, 113250, 2020 | 177 | 2020 |
Prospects for beyond the Standard Model physics searches at the Deep Underground Neutrino Experiment: DUNE Collaboration B Abi, R Acciarri, MA Acero, G Adamov, D Adams, M Adinolfi, Z Ahmad, ... The European Physical Journal C 81, 1-51, 2021 | 160 | 2021 |
First results on ProtoDUNE-SP liquid argon time projection chamber performance from a beam test at the CERN Neutrino Platform B Abi, AA Abud, R Acciarri, MA Acero, G Adamov, M Adamowski, ... Journal of instrumentation 15 (12), P12004, 2020 | 145 | 2020 |
The DUNE far detector interim design report, Volume 3: dual-phase module B Abi, R Acciarri, MA Acero, M Adamowski, C Adams, D Adams, ... | 80 | 2018 |
Measurements of neutrino oscillation parameters from the T2K experiment using protons on target K Abe, N Akhlaq, R Akutsu, A Ali, S Alonso Monsalve, C Alt, ... The European Physical Journal C 83 (9), 782, 2023 | 79 | 2023 |
Design, construction and operation of the ProtoDUNE-SP Liquid Argon TPC AA Abud, B Abi, R Acciarri, MA Acero, MR Adames, G Adamov, D Adams, ... Journal of Instrumentation 17 (01), P01005, 2022 | 73 | 2022 |
Neutrino interaction classification with a convolutional neural network in the DUNE far detector B Abi, R Acciarri, MA Acero, G Adamov, D Adams, M Adinolfi, Z Ahmad, ... Physical Review D 102 (9), 092003, 2020 | 58 | 2020 |
A heterogeneous mobile cloud computing model for hybrid clouds S Alonso-Monsalve, F García-Carballeira, A Calderón Future Generation Computer Systems 87, 651-666, 2018 | 56 | 2018 |
The DUNE far detector interim design report volume 1: physics, technology and strategies D Collaboration, B Abi, R Acciarri, MA Acero, M Adamowski, C Adams, ... arXiv, 2018 | 50 | 2018 |
Experiment simulation configurations approximating DUNE TDR B Abi, R Acciarri, MA Acero, G Adamov, D Adams, M Adinolfi, Z Ahmad, ... arXiv preprint arXiv:2103.04797, 2021 | 45 | 2021 |
Fog computing through public-resource computing and storage S Alonso-Monsalve, F García-Carballeira, A Calderón 2017 Second International Conference on Fog and Mobile Edge Computing (FMEC …, 2017 | 43 | 2017 |
Image-based model parameter optimization using model-assisted generative adversarial networks S Alonso-Monsalve, LH Whitehead IEEE transactions on neural networks and learning systems 31 (12), 5645-5650, 2020 | 35 | 2020 |