Primary challenges for current and future precision neutrino experiments using liquid argon time projection chambers (LArTPCs) include understanding detector effects and quantifying the associated systematic uncertainties. This paper presents a novel technique for assessing and propagating LArTPC detector-related systematic uncertainties. The technique makes modifications to simulation waveforms based on a parameterization of observed differences in ionization signals from the TPC between data and simulation, while remaining insensitive to the details of the detector model. The modifications are then used to quantify the systematic differences in low- and high-level reconstructed quantities. This approach could be applied to future LArTPC d...
6 pages, 6 figures, proceedings of the 7th International Workshop on Neutrino-Nucleus Interactions i...
We have developed a convolutional neural network that can make a pixel-level prediction of objects i...
The single-phase liquid argon time projection chamber (LArTPC) provides a large amount of detailed i...
Primary challenges for current and future precision neutrino experiments using liquid argon time pro...
Primary challenges for current and future precision neutrino experiments using liquid argon time pro...
The MicroBooNE liquid argon time projection chamber located at Fermilab is a neutrino experiment ded...
One of the primary challenges in current and future precision neutrino experiments using liquid argo...
For a large liquid argon time projection chamber (LArTPC) operating on or near the Earth's surface t...
Cosmic ray (CR) interactions can be a challenging source of background for neutrino oscillation and ...
Liquid Argon Time Projection Chambers (LArTPCs) represent one of the most widely utilized neutrino d...
We present several studies of convolutional neural networks applied to data coming from the MicroBoo...
MicroBooNE is a neutrino experiment located in the Booster Neutrino Beamline (BNB) at Fermilab, whic...
We present several studies of convolutional neural networks applied to data coming from the MicroBoo...
We measure a large set of observables in inclusive charged current muon neutrino scattering on argon...
6 pages, 6 figures, proceedings of the 7th International Workshop on Neutrino-Nucleus Interactions i...
We have developed a convolutional neural network that can make a pixel-level prediction of objects i...
The single-phase liquid argon time projection chamber (LArTPC) provides a large amount of detailed i...
Primary challenges for current and future precision neutrino experiments using liquid argon time pro...
Primary challenges for current and future precision neutrino experiments using liquid argon time pro...
The MicroBooNE liquid argon time projection chamber located at Fermilab is a neutrino experiment ded...
One of the primary challenges in current and future precision neutrino experiments using liquid argo...
For a large liquid argon time projection chamber (LArTPC) operating on or near the Earth's surface t...
Cosmic ray (CR) interactions can be a challenging source of background for neutrino oscillation and ...
Liquid Argon Time Projection Chambers (LArTPCs) represent one of the most widely utilized neutrino d...
We present several studies of convolutional neural networks applied to data coming from the MicroBoo...
MicroBooNE is a neutrino experiment located in the Booster Neutrino Beamline (BNB) at Fermilab, whic...
We present several studies of convolutional neural networks applied to data coming from the MicroBoo...
We measure a large set of observables in inclusive charged current muon neutrino scattering on argon...
6 pages, 6 figures, proceedings of the 7th International Workshop on Neutrino-Nucleus Interactions i...
We have developed a convolutional neural network that can make a pixel-level prediction of objects i...
The single-phase liquid argon time projection chamber (LArTPC) provides a large amount of detailed i...