9.8k citations
- Massachusetts Institute of TechnologyUS185 papers
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- Centre National de la Recherche ScientifiqueFR163 papers
- University of CambridgeGB163 papers
- Lomonosov Moscow State UniversityRU159 papers
- Istituto Nazionale di Fisica Nucleare, Sezione di Roma IIT157 papers
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- National Institute for Subatomic PhysicsNL150 papers
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- Istituto Nazionale di Fisica Nucleare, Sezione di FirenzeIT146 papers
11 papers · 1 filter
Measurements of Pion and Muon Nuclear Capture at Rest on Argon in the LArIAT Experiment
M. A. Hernandez-Morquecho, R. Acciarri, J. Asaadi +22
We report the measurement of the final-state products of negative pion and muon nuclear capture at rest on argon by the LArIAT experiment at the Fermilab Test Beam Facility. We mea…
Making sense of AI systems development
Mateusz Dolata, Kevin Crowston
We identify and describe episodes of sensemaking around challenges in modern AI-based systems development that emerged in projects carried out by IBM and client companies. All proj…
Search for the rare decay of charmed baryon into final state
LHCb collaboration, R. Aaij, A. S. W. Abdelmotteleb +1066
A search for the nonresonant decay is performed using proton-proton collision data recorded at a centre-of-mass energy of 13 TeV by the LHCb experiment, corre…
Multi-agent Cooperative Games Using Belief Map Assisted Training
Qinwei Huang, Chen Luo, Alex B. Wu +3
In a multi-agent system, agents share their local observations to gain global situational awareness for decision making and collaboration using a message passing system. When to se…
A Potential Second Shutoff from AT2018fyk: An updated Orbital Ephemeris of the Surviving Star under the Repeating Partial Tidal Disruption Event Paradigm
Dheeraj Pasham, Eric Coughlin, Muryel Guolo +4
The tidal disruption event (TDE) AT2018dyk/ASASSN-18UL showed a rapid dimming event 500 days after discovery, followed by a re-brightening roughly 700 days later. It has been hypot…
Improving neutrino energy estimation of charged-current interaction events with recurrent neural networks in MicroBooNE
MicroBooNE collaboration, P. Abratenko, O. Alterkait +186
We present a deep learning-based method for estimating the neutrino energy of charged-current neutrino-argon interactions. We employ a recurrent neural network (RNN) architecture f…