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The PROSPECT physics program
Topical ReviewJ Ashenfelter / A B Balantekin / H R Band et al. | IOP Institute of Physics | 2016 -
The Pandora multi-algorithm approach to automated pattern recognition of cosmic-ray muon and neutrino events in the MicroBooNE detector
Free accessR. Acciarri / C. Adams / R. An et al. | DOAJ | 2018 -
Comparison of $${\varvec{\nu }}_{\varvec{\mu }}-$$ νμ- Ar multiplicity distributions observed by MicroBooNE to GENIE model predictions
Free accessC. Adams / R. An / J. Anthony et al. | DOAJ | 2019 -
Rejecting cosmic background for exclusive charged current quasi elastic neutrino interaction studies with Liquid Argon TPCs; a case study with the MicroBooNE detector
Free accessC. Adams / M. Alrashed / R. An et al. | DOAJ | 2019 -
Novel approach for evaluating detector-related uncertainties in a LArTPC using MicroBooNE data
Free accessP. Abratenko / R. An / J. Anthony et al. | DOAJ | 2022 -
Calorimetric classification of track-like signatures in liquid argon TPCs using MicroBooNE data
Free accessThe MicroBooNE collaboration / P. Abratenko / R. An et al. | DOAJ | 2021 -
Improved measurement of the reactor antineutrino flux and spectrum at Daya BaySupported in part by the Ministry of Science and Technology of China, the United States Department of Energy, the Chinese Academy of Sciences, the CAS Center for Excellence in Particle Physics, the National Natural Science Foundation of China, the Guangdong provincial government, the Shenzhen municipal government, the China General Nuclear Power Group, the Research Grants Council of the Hong Kong Special Administrative Region of China, the MOST and MOE in Taiwan, the U.S. National Science Foundation, the Ministry of Education, Youth and Sports of the Czech Republic, the Joint Institute of Nuclear Research in Dubna, Russia, the NSFC-RFBR joint research program, the National Commission for Scientific and Technological Research of Chile
Free accessParticles and FieldsF. P. An / A. B. Balantekin / H. R. Band et al. | IOP Institute of Physics | 2017 -
Search for electron-antineutrinos associated with gravitational-wave events GW150914, GW151012, GW151226, GW170104, GW170608, GW170814, and GW170817 at Daya Bay Daya Bay is supported in part by the Ministry of Science and Technology of China, the U.S. Department of Energy, the Chinese Academy of Sciences, the CAS Center for Excellence in Particle Physics, the National Natural Science Foundation of China, the Guangdong provincial government, the Shenzhen municipal government, the China General Nuclear Power Group, Key Laboratory of Particle and Radiation Imaging (Tsinghua University), the Ministry of Education, Key Laboratory of Particle Physics and Particle Irradiation (Shandong University), the Ministry of Education, Shanghai Laboratory for Particle Physics and Cosmology, the Research Grants Council of the Hong Kong Special Administrative Region of China, the University Development Fund of the University of Hong Kong, the MOE program for Research of Excellence at National Taiwan University, National Chiao-Tung University, NSC fund support from Taiwan, the U.S. National Science Foundation, the Alfred P. Sloan Foundation, the Ministry of Education, Youth, and Sports of the Czech Republic, the Charles University GAUK (284317), the Joint Institute of Nuclear Research in Dubna, Russia, the National Commission of Scientific and Technological Research of Chile, and the Tsinghua University Initiative Scientific Research Program.
PaperF. P. An / A. B. Balantekin / H. R. Band et al. | IOP Institute of Physics | 2021 -
Low-Energy Physics in Neutrino LArTPCs
Free accessD. Caratelli / W. Foreman / A. Friedland et al. | BASE | 2022 -
Optimization of the JUNO liquid scintillator composition using a Daya Bay antineutrino detector
Free accessA. Abusleme / T. Adam / S. Ahmad et al. | BASE | 2021 -
Optimization of the JUNO liquid scintillator composition using a Daya Bay antineutrino detector
Free accessA. Abusleme / T. Adam / S. Ahmad et al. | BASE | 2021 -
Long-baseline neutrino oscillation physics potential of the DUNE experiment
Free accessB. Abi / R. Acciarri / M. A. Acero et al. | DOAJ | 2020 -
Supernova neutrino burst detection with the deep underground neutrino experiment
Free accessB. Abi / R. Acciarri / M. A. Acero et al. | DOAJ | 2021 -
Prospects for beyond the Standard Model physics searches at the Deep Underground Neutrino Experiment
Free accessB. Abi / R. Acciarri / M. A. Acero et al. | DOAJ | 2021 -
Deep Underground Neutrino Experiment (DUNE) Near Detector Conceptual Design Report
Free accessA. Abed Abud / B. Abi / R. Acciarri et al. | DOAJ | 2021 -
Neutrino interaction classification with a convolutional neural network in the DUNE far detector
Free accessB. Abi / R. Acciarri / M. A. Acero et al. | BASE | 2020 -
Scintillation light detection in the 6-m drift-length ProtoDUNE Dual Phase liquid argon TPC
Free accessA. Abed Abud / B. Abi / R. Acciarri et al. | DOAJ | 2022 -
Separation of track- and shower-like energy deposits in ProtoDUNE-SP using a convolutional neural network
Free accessA. Abed Abud / B. Abi / R. Acciarri et al. | BASE | 2022 -
Snowmass Neutrino Frontier: DUNE Physics Summary
Free accessA. Abed Abud / B. Abi / R. Acciarri et al. | BASE | 2022 -
Separation of track- and shower-like energy deposits in ProtoDUNE-SP using a convolutional neural network
Free accessA. Abed Abud / B. Abi / R. Acciarri et al. | DOAJ | 2022
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