51 citations · 166 across the 12 of their papers we have counts for
24 papers
Graph Neural Networks in Particle Physics: Implementations, Innovations, and Challenges
Savannah Thais, Paolo Calafiura, Grigorios Chachamis +7
Many physical systems can be best understood as sets of discrete data with associated relationships. Where previously these sets of data have been formulated as series or image dat…
Solving Simulation Systematics in and with AI/ML
Brett Viren, Jin Huang, Yi Huang +5
Training an AI/ML system on simulated data while using that system to infer on data from real detectors introduces a systematic error which is difficult to estimate and in many ana…
Search for a Higgs portal scalar decaying to electron-positron pairs in the MicroBooNE detector
MicroBooNE collaboration, P. Abratenko, R. An +181
We present a search for the decays of a neutral scalar boson produced by kaons decaying at rest, in the context of the Higgs portal model, using the MicroBooNE detector. We analyze…
Measurement of the Longitudinal Diffusion of Ionization Electrons in the MicroBooNE Detector
P. Abratenko, R. An, J. Anthony +179
Accurate knowledge of electron transport properties is vital to understanding the information provided by liquid argon time projection chambers (LArTPCs). Ionization electron drift…
Scalable, End-to-End, Deep-Learning-Based Data Reconstruction Chain for Particle Imaging Detectors
Francois Drielsma, Kazuhiro Terao, Laura Dominé +1
Recent inroads in Computer Vision (CV) and Machine Learning (ML) have motivated a new approach to the analysis of particle imaging detector data. Unlike previous efforts which tack…
Measurement of the Flux-Averaged Inclusive Charged-Current Electron Neutrino and Antineutrino Cross Section on Argon using the NuMI Beam and the MicroBooNE Detector
MicroBooNE collaboration, P. Abratenko, M. Alrashed +185
We present a measurement of the combined + flux-averaged charged-current inclusive cross section on argon using data from the MicroBooNE liquid argon time projectio…