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Selection Of Muon Neutrinos for the MicroBooNE Deep-Learning-based Low Energy Excess Search

Authors: Davio Cianci;

Selection Of Muon Neutrinos for the MicroBooNE Deep-Learning-based Low Energy Excess Search

Abstract

MicroBooNE is a liquid argon time projection chamber (LArTPC) detector positioned on the Fermilab booster beamline whose primary goal is to verify an excess of low energy electron neutrinos observed by MiniBooNE on the same beam. To this end, a reliable measurement of muon neutrinos in parallel with one of electron neutrinos can provide a constraint on systematic uncertainties, strengthening any claims about the anomalous low energy excess (LEE). This poster presents a selection of muon neutrino events identified as having one muon and one proton in the final state in the MicroBooNE experiment pairing cutting edge deep-learning-based track reconstruction methods with the fine topological resolution provided by LArTPC detector technology.

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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