activity
20192026
most citedMeasurement of Differential Cross Sections for -Ar Charged-Current Interactions with Protons and no Pions in the Final State with the MicroBooNE Detector

66 citations · 71 across the 6 of their papers we have counts for

collaborators

7 papers

hep-ex2026

Probing Nuclear Effects with Transverse Kinematic Imbalance in Muon-neutrino Induced Charged-Current Production on Argon with the MicroBooNE Detector

MicroBooNE collaboration, P. Abratenko, D. Andrade Aldana +192

Neutrino-nucleus cross-section measurements are needed to improve interaction modeling and to enable precision neutrino oscillation measurements in upcoming experiments such as the…

physics.acc-ph2025

Fast Adaptive Neural Control of Resonant Extraction at Fermilab

A. Whitbeck, J. Berlioz, K. Danison-Fieldhouse +8

We present progress on the development of a machine learning (ML) regulation system for third-order resonant extraction of the beam delivered to the Mu2e experiment at Fermilab. We…

hep-ex2023

First search for dark-trident processes using the MicroBooNE detector

MicroBooNE collaboration, P. Abratenko, O. Alterkait +185

We present a first search for dark-trident scattering in a neutrino beam using a data set corresponding to protons on target taken with the MicroBooNE detector…

physics.acc-ph2021

BOOSTR: A Dataset for Accelerator Control Systems

Diana Kafkes, Jason St. John

The Booster Operation Optimization Sequential Time-series for Regression (BOOSTR) dataset was created to provide a cycle-by-cycle time series of readings and settings from instrume…

physics.acc-ph2020★ 5 cited

Real-time Artificial Intelligence for Accelerator Control: A Study at the Fermilab Booster

Jason St. John, Christian Herwig, Diana Kafkes +11

We describe a method for precisely regulating the gradient magnet power supply at the Fermilab Booster accelerator complex using a neural network trained via reinforcement learning…

hep-ex2020★ 66 cited

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…

astro-ph.IM2019

Response to NITRD, NCO, NSF Request for Information on "Update to the 2016 National Artificial Intelligence Research and Development Strategic Plan"

J. Amundson, J. Annis, C. Avestruz +27

We present a response to the 2018 Request for Information (RFI) from the NITRD, NCO, NSF regarding the "Update to the 2016 National Artificial Intelligence Research and Development…