activity
20132026
most citedDesign and Construction of the MicroBooNE Detector

429 citations · 3k across the 51 of their papers we have counts for

collaborators

53 papers

hep-ex2026

Building an AI-native Research Ecosystem for Experimental Particle Physics: A Community Vision

Thea Klaeboe Aarrestad, Alaa Abdelhamid, Haider Abidi +457

Experimental particle physics seeks to understand the universe by probing its fundamental particles and forces and exploring how they govern the large-scale processes that shape co…

hep-ex2022★ 1 cited

Detector and Beamline Simulation for Next-Generation High Energy Physics Experiments

Sunanda Banerjee, D. N. Brown, David N. Brown +31

The success of high energy physics programs relies heavily on accurate detector simulations and beam interaction modeling. The increasingly complex detector geometries and beam dyn…

hep-ph2022★ 181 cited

The Present and Future Status of Heavy Neutral Leptons

Asli M. Abdullahi, Pablo Barham Alzas, Brian Batell +42

The existence of non-zero neutrino masses points to the likely existence of multiple SM neutral fermions. When such states are heavy enough that they cannot be produced in oscillat…

hep-ex2021★ 46 cited

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…

hep-ex2021★ 5 cited

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…

hep-ex2021

Electromagnetic Shower Reconstruction and Energy Validation with Michel Electrons and Samples for the Deep-Learning-Based Analyses in MicroBooNE

MicroBooNE collaboration, P. Abratenko, R. An +183

This article presents the reconstruction of the electromagnetic activity from electrons and photons (showers) used in the MicroBooNE deep learning-based low energy electron search.…