523 citations · 9.3k across the 182 of their papers we have counts for
23 papers · 1 filter
Machine Learning in the Search for New Fundamental Physics
Georgia Karagiorgi, Gregor Kasieczka, Scott Kravitz +2
Machine learning plays a crucial role in enhancing and accelerating the search for new fundamental physics. We review the state of machine learning methods and applications for new…
Novel Approach for Evaluating Detector-Related Uncertainties in a LArTPC Using MicroBooNE Data
MicroBooNE collaboration, P. Abratenko, R. An +183
Primary challenges for current and future precision neutrino experiments using liquid argon time projection chambers (LArTPCs) include understanding detector effects and quantifyin…
MiniBooNE Data Releases
A. A. Aguilar-Arevalo, B. C. Brown, J. M. Conrad +38
The MiniBooNE experiment has provided data releases for most publications. Occasionally it is necessary to move data release pages. This document provides a single point of referen…
Search for an anomalous excess of charged-current quasi-elastic interactions with the MicroBooNE experiment using Deep-Learning-based reconstruction
MicroBooNE collaboration, P. Abratenko, R. An +185
We present a measurement of the -interaction rate in the MicroBooNE detector that addresses the observed MiniBooNE anomalous low-energy excess (LEE). The approach taken isolat…
Search for an anomalous excess of charged-current interactions without pions in the final state with the MicroBooNE experiment
MicroBooNE collaboration, P. Abratenko, R. An +188
This article presents a measurement of interactions without pions in the final state using the MicroBooNE experiment and an investigation into the excess of low-energy electr…
Search for an Excess of Electron Neutrino Interactions in MicroBooNE Using Multiple Final State Topologies
MicroBooNE collaboration, P. Abratenko, R. An +192
We present a measurement of electron neutrino interactions from the Fermilab Booster Neutrino Beam using the MicroBooNE liquid argon time projection chamber to address the nature o…