429 citations · 1.3k across the 15 of their papers we have counts for
16 papers
AI-Ready Control System for the Fermilab Accelerator Complex
Tia Miceli, Erik Gottschalk, Donovan Tooke +15
Reliable, high-intensity operation of the Fermilab Accelerator Complex is critical to the success of the Long-Baseline Neutrino Facility and Deep Underground Neutrino Experiment. W…
Twinac: A Universal Framework for Virtual Accelerator Controls
Tia Miceli, Abhishek Pathak, Aaron Sauers
We propose a universal framework for a system of virtual accelerator controls (Twinac), a standard toolkit for research institutions to design, maintain, and use a real-time, end-t…
Artificial Intelligence for the Electron Ion Collider (AI4EIC)
C. Allaire, R. Ammendola, E. -C. Aschenauer +92
The Electron-Ion Collider (EIC), a state-of-the-art facility for studying the strong force, is expected to begin commissioning its first experiments in 2028. This is an opportune t…
Comparison of νμ-Ar multiplicity distributions observed by MicroBooNE to GENIE model predictions
C. Adams, R. An, J. Anthony +162
We measure a large set of observables in inclusive charged current muon neutrino scattering on argon with the MicroBooNE liquid argon time projection chamber operating at Fermilab.…
Ionization Electron Signal Processing in Single Phase LArTPCs II. Data/Simulation Comparison and Performance in MicroBooNE
MicroBooNE collaboration, C. Adams, R. An +168
The single-phase liquid argon time projection chamber (LArTPC) provides a large amount of detailed information in the form of fine-grained drifted ionization charge from particle t…
Ionization Electron Signal Processing in Single Phase LArTPCs I. Algorithm Description and Quantitative Evaluation with MicroBooNE Simulation
MicroBooNE collaboration, C. Adams, R. An +166
We describe the concept and procedure of drifted-charge extraction developed in the MicroBooNE experiment, a single-phase liquid argon time projection chamber (LArTPC). This techni…
The Pandora multi-algorithm approach to automated pattern recognition of cosmic-ray muon and neutrino events in the MicroBooNE detector
MicroBooNE collaboration, R. Acciarri, C. Adams +145
The development and operation of Liquid-Argon Time-Projection Chambers for neutrino physics has created a need for new approaches to pattern recognition in order to fully exploit t…
Measurement of cosmic-ray reconstruction efficiencies in the MicroBooNE LArTPC using a small external cosmic-ray counter
MicroBooNE collaboration, R. Acciarri, C. Adams +148
The MicroBooNE detector is a liquid argon time projection chamber at Fermilab designed to study short-baseline neutrino oscillations and neutrino-argon interaction cross-section. D…
Noise Characterization and Filtering in the MicroBooNE Liquid Argon TPC
MicroBooNE collaboration, R. Acciarri, C. Adams +152
The low-noise operation of readout electronics in a liquid argon time projection chamber (LArTPC) is critical to properly extract the distribution of ionization charge deposited on…
Michel Electron Reconstruction Using Cosmic-Ray Data from the MicroBooNE LArTPC
MicroBooNE collaboration, R. Acciarri, C. Adams +143
The MicroBooNE liquid argon time projection chamber (LArTPC) has been taking data at Fermilab since 2015 collecting, in addition to neutrino beam, cosmic-ray muons. Results are pre…
Determination of muon momentum in the MicroBooNE LArTPC using an improved model of multiple Coulomb scattering
MicroBooNE collaboration, P. Abratenko, R. Acciarri +145
We discuss a technique for measuring a charged particle's momentum by means of multiple Coulomb scattering (MCS) in the MicroBooNE liquid argon time projection chamber (LArTPC). Th…
Design and Construction of the MicroBooNE Detector
MicroBooNE Collaboration, R. Acciarri, C. Adams +237
This paper describes the design and construction of the MicroBooNE liquid argon time projection chamber and associated systems. MicroBooNE is the first phase of the Short Baseline…
Convolutional Neural Networks Applied to Neutrino Events in a Liquid Argon Time Projection Chamber
MicroBooNE collaboration, R. Acciarri, C. Adams +136
We present several studies of convolutional neural networks applied to data coming from the MicroBooNE detector, a liquid argon time projection chamber (LArTPC). The algorithms stu…
A Proposal for a Three Detector Short-Baseline Neutrino Oscillation Program in the Fermilab Booster Neutrino Beam
R. Acciarri, C. Adams, R. An +221
A Short-Baseline Neutrino (SBN) physics program of three LAr-TPC detectors located along the Booster Neutrino Beam (BNB) at Fermilab is presented. This new SBN Program will deliver…
Exploring Neutrino Interactions with MicroBooNE
Tia Miceli
Recently, MiniBooNE observed an electromagnetic excess at low energy. What is the nature of this excess? What about the nature of the low-energy excess at LSND 20 years ago? The Mi…
Improving Dark Matter Searches by Measuring the Nucleon Axial Form Factor: Perspectives from MicroBooNE
Tia Miceli, Vassili Papavassiliou, Stephen Pate +1
The MicroBooNE neutrino experiment at Fermilab is constructing a liquid-argon time-projection chamber for the Booster Neutrino Beam to study neutrino oscillations and interactions…