24 citations · 87 across the 74 of their papers we have counts for
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Machine Learning-Informed 3+1 Sterile Neutrino Global Fits using Posterior Density Estimation of Electron Disappearance Data
Joshua Villarreal, Julia Woodward, John Hardin +1
Global analyses of particle physics data are integral for validating and scrutinizing published results of experiments. Global fits of anomalous oscillation data which search for o…
A Frequentist Simulation-Based Inference Treatment of Sterile Neutrino Global Fits
Joshua Villarreal, Julia Woodward, John Hardin +1
A critical challenge in particle physics is combining results from diverse experimental setups that measure the same physical quantity to enhance precision and statistical power, a…
Implications of MicroBooNE's low sensitivity to electron antineutrino interactions in the search for the MiniBooNE excess
Nicholas W. Kamp, Matheus Hostert, Carlos A. Argüelles +2
The MicroBooNE experiment searched for an excess of electron-neutrinos in the Booster Neutrino Beam (BNB), providing direct constraints on -interpretations of the MiniBooNE lo…
Sterile Neutrino Fits to Short Baseline Data
G. H. Collin, C. A. Argüelles, J. M. Conrad +1
Neutrino oscillation models involving extra mass eigenstates beyond the standard three (3+N) are fit to global short baseline experimental data. We find that 3+1 has a best fit of…