activity
20182026
most citedSearch for a Higgs portal scalar decaying to electron-positron pairs in the MicroBooNE detector

51 citations · 381 across the 58 of their papers we have counts for

collaborators
Showing 2020Show all

10 papers · 1 filter

physics.ins-det2020★ 9 cited

Measurement of the Atmospheric Muon Rate with the MicroBooNE Liquid Argon TPC

MicroBooNE collaboration, C. Adams, M. Alrashed +187

MicroBooNE is a near-surface liquid argon (LAr) time projection chamber (TPC) located at Fermilab. We measure the characterisation of muons originating from cosmic interactions in…

physics.ins-det2020★ 46 cited

Semantic Segmentation with a Sparse Convolutional Neural Network for Event Reconstruction in MicroBooNE

MicroBooNE collaboration, P. Abratenko, M. Alrashed +180

We present the performance of a semantic segmentation network, SparseSSNet, that provides pixel-level classification of MicroBooNE data. The MicroBooNE experiment employs a liquid…

hep-ex2020

High-performance Generic Neutrino Detection in a LArTPC near the Earth's Surface with the MicroBooNE Detector

MicroBooNE collaboration, P. Abratenko, M. Alrashed +186

Large Liquid Argon Time Projection Chambers (LArTPCs) are being increasingly adopted in neutrino oscillation experiments because of their superb imaging capabilities through the co…

physics.ins-det2020

Neutrino Event Selection in the MicroBooNE Liquid Argon Time Projection Chamber using Wire-Cell 3-D Imaging, Clustering, and Charge-Light Matching

MicroBooNE collaboration, P. Abratenko, M. Alrashed +182

An accurate and efficient event reconstruction is required to realize the full scientific capability of liquid argon time projection chambers (LArTPCs). The current and future neut…

hep-ex2020

Measurement of Differential Cross Sections for -Ar Charged-Current Interactions with Protons and no Pions in the Final State with the MicroBooNE Detector

MicroBooNE collaboration, P. Abratenko, M. Alrashed +182

We present an analysis of MicroBooNE data with a signature of one muon, no pions, and at least one proton above a momentum threshold of 300 MeV/c (CC0Np). This is the first diff…

hep-ex2020

A Convolutional Neural Network for Multiple Particle Identification in the MicroBooNE Liquid Argon Time Projection Chamber

MicroBooNE collaboration, P. Abratenko, M. Alrashed +184

We present the multiple particle identification (MPID) network, a convolutional neural network (CNN) for multiple object classification, developed by MicroBooNE. MPID provides the…